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At Two Six Technologies, we build, deploy, and implement innovative products that solve the world’s most complex challenges today. Through unrivaled collaboration and unwavering trust, we push the boundaries of what’s possible to empower our team and support our customers in building a safer global future.

Overview of Opportunity

Two Six Technologies is seeking a Language Enabled Analyst to support a US Government customer. This position involves leveraging linguistic and cultural understanding to develop effective messaging strategies across a variety of social media platforms, engaging with individuals in those global locations, studying data from various social media platforms and other online sources, assessing content validity, and writing reports detailing these assessments.  The expected duration for this engagement is a six month period.

What you will do

• Assess content in target language or dialect for potential intelligence value
• Engage with individuals in target language on behalf of the program
• Develop and implement messaging strategies for propagating messaging content in target language information environment(s)
• Write long-form analytical reports that summarize findings to be disseminated to multiple stakeholders
• Analyze a wide variety of OSINT information

What you will need

• Native proficiency in Farsi, Dari, Pashto, and Urdu
• Demonstrated advanced professional writing skills in the English language
• Minimum of 4 years writing grammatically and culturally appropriate content in target language without peer review
• Minimum of 4 years in an intensive academic or professional background in target region political and/or security issues
• At least one year of experience supporting a government customer
• High level familiarity with traditional and social media in target language, including prevalent trends, key personalities, political dynamics, and current events
• Demonstrated use of target language in either an IC mission set or in an IO/OSINT mission set.
• Experience and demonstrated proficiency using a range of technologies, including databases and open source tools

Nice to haves

• HUMINT/Targeting experience or experience in cybersecurity
• Background in data science and/or programming languages

Security Clearance:

• An active TS/SCI clearance is required for consideration

#LI-MS1

Two Six Technologies is committed to providing competitive and comprehensive compensation packages that reflect the value we place on our employees and their contributions. We believe in rewarding skills, experience, and performance. Our offerings include but are not limited to, medical, dental, and vision insurance, life and disability insurance, retirement benefits, paid leave, tuition assistance and professional development.

The projected salary range listed for this position is annualized. This is a general guideline and not a guarantee of salary. Salary is one component of our total compensation package and the specific salary offered is determined by various factors, including, but not limited to education, experience, knowledge, skills, geographic location, as well as contract specific affordability and organizational requirements.

Salary Range

$100,000—$125,000 USD

Looking for other great opportunities? Check out Two Six Technologies Opportunities for all our Company’s current openings!

Ready to make the first move towards growing your career? If so, check out the Two Six Technologies Candidate Journey!  This will give you step-by-step directions on applying, what to expect during the application process, information about our rich benefits and perks along with our most frequently asked questions.  If you are undecided and would like to learn more about us and how we are contributing to essential missions, check out our  Two Six Technologies News  page!  We share information about the tech world around us and how we are making an impact!  Still have questions, no worries!  You can reach us at Contact Two Six Technologies. We are happy to connect and cover the information needed to assist you in reaching your next career milestone.

Two Six Technologies is an Equal Opportunity Employer and does not discriminate in employment opportunities or practices based on race (including traits historically associated with race, such as hair texture, hair type and protective hair styles (e.g., braids, twists, locs and twists)), color, religion, national origin, sex (including pregnancy, childbirth or related medical conditions and lactation), sexual orientation, gender identity or expression, age (40 and over), marital status, disability, genetic information, and protected veteran status or any other characteristic protected by applicable federal, state, or local law. For more information review the Two Six Technologies Equal Employment Opportunity and Affirmative Action Policy and the EEO Poster.

If you are an individual with a disability and would like to request reasonable workplace accommodation for any part of our employment process, please send an email to accommodations@twosixtech.com. Information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.

Additionally, please be advised that this business uses E-Verify in its hiring practices.

By submitting the following application, I hereby certify that to the best of my knowledge, the information provided is true and accurate.

About Stitch Fix, Inc.

Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours.  We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential.

About the Role

The Recommendation Algorithms team powers personalized shopping experiences across Stitch Fix, using machine learning and AI to help clients discover items and outfits they’ll love. The team turns model outputs, inventory, client context, and business objectives into relevant recommendations, rankings, search results, and personalized assortments across Fix and Freestyle.

As the Senior Manager, Recommendation Algorithms, you will lead a team of Data Scientists and Machine Learning Engineers responsible for the strategy, development, and production performance of these client-facing personalization systems. You’ll partner closely with Product, Engineering, Merchandising, Enterprise Analytics, and other Algorithms teams to improve recommendation quality, evolve our technical approach, and deliver measurable client and business impact.

What You’ll Do

• Lead the strategy and execution of client-facing personalization across recommendations, ranking, search, discovery, outfits, and similar-item experiences, balancing relevance, diversity, freshness, inventory availability, client context, and business objectives.
• Shape the roadmap with Product, Engineering, Design, Merchandising, Analytics, and Algorithms partners, making thoughtful tradeoffs across client experience, stylist needs, inventory objectives, recommendation quality, and system complexity.
• Drive rigorous experimentation and measurement through offline evaluation and online A/B testing, using metrics such as engagement, selection, keep rate, items sold, revenue, margin, and client satisfaction to guide decisions and improve outcomes.
• Own the end-to-end algorithm lifecycle, from opportunity sizing and modeling through experimentation, production deployment, monitoring, and operational support, while partnering with Engineering to build scalable, reliable, observable, and explainable recommendation systems.
• Advance how the team uses AI and emerging technologies, including generative AI and LLM-based evaluation, to improve semantic understanding, recommendation and outfit quality, model evaluation, and team productivity while fostering a culture of technical excellence, ownership, learning, and collaboration.

About You

This is what you’ll need to succeed in this role from day one.

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, Operations Research, or another quantitative field; Master’s degree or PhD preferred.
• 5+ years of experience designing and deploying machine learning solutions, ideally within recommendation systems, search, ranking, personalization, e-commerce, or retail, with strong applied knowledge of areas such as candidate generation, scoring, ranking, retrieval, diversification, contextual personalization, search relevance, or multi-objective optimization.
• 2+ years of experience as a technical lead or people manager, with a demonstrated ability to develop strong technical talent, lead through others, and build a culture of ownership and technical excellence.
• Strong technical foundation in production machine learning, including the ability to write and review production-grade code, ideally in Python, and experience with cloud infrastructure, distributed data systems, scalable ML architecture, experimentation, offline evaluation, and production monitoring.
• Experience designing and interpreting A/B tests and evaluation frameworks, with the ability to connect model performance to client and business outcomes and communicate technical concepts, uncertainty, and tradeoffs to both technical and non-technical audiences.
• Demonstrated ability to build trust and influence roadmaps across Product, Engineering, Analytics, Merchandising, and other cross-functional teams.
• Working knowledge of generative AI, AI-assisted development tools, and emerging AI/ML approaches, with sound judgment around when these technologies add value alongside traditional machine learning and human expertise.

You’ll love working at Stitch Fix  because you will…

• Fuse human creativity and styling expertise to redefine personalized retail.
• Set a high bar for our craft and drive measurable impact across fashion, tech, and data science.
• Actively leverage AI and modern tech to evolve how work gets done.
• Lead with innovation, think boldly, and aren’t afraid to challenge conventional retail norms.
• Win together in a collaborative, low-ego environment where diverse perspectives are celebrated.
• Be client obsessed by putting our customers at the heart of every decision to deliver unmatched personalization and trust.
• Support our team with competitive compensation packages, comprehensive benefits, and meaningful career growth.

Compensation and Benefits

This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance. This position is eligible for an annual bonus, and new hire and ongoing grants of restricted stock units, depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site.

Salary Range

$185,000—$245,000 USD

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Please review Stitch Fix’s US Applicant Privacy Policy and Notice at Collection here: https://stitchfix.com/careers/workforce-applicant-privacy-policy

Recruiting Fraud Alert:

To all candidates: your personal information and online safety are top of mind for us.  At Stitch Fix, recruiters only direct candidates to apply through our official career pages at https://www.stitchfix.com/careers/jobs or https://web.fountain.com/c/stitch-fix.

Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email careers@stitchfix.com.

Build a Safer World. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM’s platforms enable investigators to trace illicit activity, build...

Position Summary

We are seeking a Clinical-Translational Scientist, (TMED) with a passion for Women’s Health research and expertise in medical genetics and genomics. This individual will collaborate closely with cross-functional teams and external partners, using their expertise in clinical research and genomics to drive actionable insights, and guide the development of research projects and scientific publications. This position offers a unique opportunity to blend biostatistics, clinical research, and translational medicine in a rapidly evolving environment.

Key Responsibilities

1.    In Depth Knowledge of Internal Women’s Health Clinical and Commercial Data

•    Serve as the primary point of contact for all internal clinical and commercial data relating women’s health products and clinical trials.

•    Implement structures and processes for curating and managing datasets

•    Track the types and sources of data (e.g., EHR, real-world data, commercial laboratory data, clinical trials) to optimize use for medical education, publications, and product development.

•    Reinforce processes for data governance, ensuring data accuracy, quality, and regulatory compliance.

2.    Data Analysis & Study Planning

•    Design and execute genomic and clinical analyses to explore biological, scientific, and clinical questions in women’s health.

•    Support the planning of studies collaborating with clinical operations to ensure appropriate data capture, study design, and protocol development.

•    Monitor the research landscape and evaluate emerging technologies and competitive trends

3.    Collaborate with Cross-Functional Teams

Work side-by-side with data scientists and biostatistics team to perform robust analyses on women’s health datasets.

•    Partner with internal teams such as clinical operations, research & development, biostatistics, product management, external site investigators, and key opinion leaders to ensure efficient execution of studies and trials.

4.    Publication & Communication

•    Collaborate with relevant stakeholders and key opinion leaders on the preparation of abstracts, posters, and manuscripts for peer-reviewed publications and academic conferences.

•    Present results to internal and external audiences, including clinicians, academic partners, and cross-functional stakeholders.

•    Translate technical findings into clear, actionable insights for decision-makers across the organization.

5.    Compliance & Privacy

•    Handle PHI (Protected Health Information) and ensure compliance with HIPAA regulations and Natera policies.

•    Maintain a current status on organizational training requirements and pass a post- offer criminal background check.

Qualifications

•    Ph.D. in Clinical Science, Molecular Biology, Genomics, Bioinformatics, Genetics, or related disciplines.

•    Strong scientific foundation in molecular genomics perspectives, preferably in the women’s health space.

•    Demonstrated experience working with genetic data and nomenclature. Variant curation experience and knowledge a plus.

•    Experience working with real-life clinical data (e.g., EMR, LIMS, etc.) and knowledge of clinical parameters and variable definitions.

•    Demonstrated project management experience is a must

•    Demonstrated experience working with external collaborators/KOLs a must.

•    Proficiency in data mining, data curation, statistical analysis tools, and methodologies.

•    Expertise in R programming, including packages such as ggplot2, data.table, and Bioconductor.

•    Familiarity with querying relational databases using SQL.

•    Demonstrated experience with predictive modeling, epidemiological methodology, clinical observational and retrospective study design. Familiarity with machine learning algorithms, computational modeling, or other advanced data science methodologies is beneficial.

Knowledge, Skills, and Abilities

•    Clinical Research & Regulations: Working knowledge of clinical trial processes, IRB requirements, and relevant FDA or equivalent regulations.

•    Project Management: Adept at juggling multiple projects, prioritizing tasks, and meeting deadlines in a fast-paced environment with shifting priorities. Proven success in managing collaborative and individual projects.

•    Communication & Collaboration: Excellent verbal and written communication skills; ability to convey complex scientific concepts to both technical and non-technical stakeholders.

•    Adaptability & Problem-Solving: Solutions-oriented approach; identifies potential challenges or risks and proposes effective resolutions. Experience working in dynamic departments where priorities change quickly.

•    Team Player: Strong interpersonal skills; experience leading or collaborating with cross-functional teams, including data science, clinical operations, and external stakeholders.

Preferred Qualifications

•    Experience managing clinical trials including contracting, budgeting, and protocol design experience.

•    Experience in publishing research in high-impact journals.

•    Knowledge of emerging trends and society guidelines in women’s health.

•    Provide coding and statistical support using Python and R for data exploration, modeling, and interpretation.

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

Link: https://www.natera.com/notice-of-data-collection-california-residents/

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information:

- BBB announcement on job scams

- FBI Cyber Crime resource page

Description

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

As a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio.

We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios.

Responsibilities

• Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms. Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint.

• Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms.

• Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions.

• Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems.

• Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements.

Requirements

• A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).

• Must have knowledge of Metal Shading Language (MSL). You should be comfortable writing custom compute shaders from scratch.

• Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms.

• A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios.

• Must have strong expertise in writing GPU kernels for mobile devices (i.e., smartphones) as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required.

• Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency.

• Distributed Inference Systems: Designing and optimizing high-performance inference engines using techniques like Tensor Parallelism, Pipeline Parallelism, and Expert Parallelism to handle massive models on GPU clusters.

• Deep understanding of the math and structure behind Diffusion Models and Vision Transformers

• Understanding of Pruning, Quantization, Flash attention, KV Cache, Speculative Decoding (Eagle) etc.

Important information for candidates

Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/

• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

• Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io

• We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

About Invisible

Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.

Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.

Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.

Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.

About The Role

Invisible is building a reinforcement learning capability inside its research organization, focused on evaluation methodology, benchmarks, and RL environments for frontier labs and enterprise clients. As a Research Engineer, you’ll work on how frontier models are measured, meaning the evaluations that labs and enterprises actually make decisions on, with direct influence over the methodology and not just its implementation.

You’ll take a research question (how do we measure whether a model can do this work, and how do we make that measurement reproducible?) and turn it into a scoring framework, an evaluation architecture, or an environment design, then ship the production system that runs it. This role doesn’t hand specifications to someone else to build, and it doesn’t only build what others have specified. It’s a fit for someone who wants to design the approach and write the code that proves it out.

Depending on level, the role reports to the Lead Research Engineer or, at Principal, directly to the VP of Research.

What You’ll Do

• Design benchmarks and RL environments that measure real model capability for frontier labs and enterprise clients
• Originate evaluation methodology and translate it into scoring frameworks, rubrics, and evaluation architectures
• Write and ship the production code that implements your designs
• Build and maintain the data pipelines that feed evaluation runs
• Run the analysis that establishes whether a result holds, and make evaluations reproducible
• Partner with Research Scientists on methodology review, with Solutions Architects on client requirements, and with ML software engineers who build and maintain the underlying platform

What We Need

• Production-quality code written daily; this is a hard requirement
• Python & ML Stack: Fluency in Python and comfort across the modern ML stack
• Evaluation & Infrastructure: Real experience building evaluation systems, RL environments, or training and inference infrastructure
• Agentic Systems: Hands-on experience with modern agentic flows
• RL & Frontier Evaluation: Familiarity with reinforcement learning methods and how frontier models are evaluated; we weigh this more heavily than years of experience
• A track record of turning ambiguous research questions into working systems, and publishing or shipping the result

You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.

*Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.

What It’s Like to Work at Invisible:

At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.

We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in.

Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process.

_AI Interviewing Guidelines:_

Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we’ve outlined expectations for using it ethically throughout your interview journey._ _Click here to learn more about how we use AI and our guidelines for candidates.

Accessibility Statement:We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request.__Here is the link the google form: https://docs.google.com/forms/d/e/1FAIpQLScqsu0PCQ0m0lwt-VFeXovNbZxWk0jogv8QI_ciGqZsIbSBjQ/viewform?usp=sharing&ouid=102356854798492362557

Equal Opportunity Statement: We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.

Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.

About Invisible

Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.

Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.

Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.

Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.

About The Role

Invisible is building a reinforcement learning capability inside its research organization, focused on evaluation methodology, benchmarks, and RL environments for frontier labs and enterprise clients. As a Research Engineer, you’ll work on how frontier models are measured, meaning the evaluations that labs and enterprises actually make decisions on, with direct influence over the methodology and not just its implementation.

You’ll take a research question (how do we measure whether a model can do this work, and how do we make that measurement reproducible?) and turn it into a scoring framework, an evaluation architecture, or an environment design, then ship the production system that runs it. This role doesn’t hand specifications to someone else to build, and it doesn’t only build what others have specified. It’s a fit for someone who wants to design the approach and write the code that proves it out.

Depending on level, the role reports to the Lead Research Engineer or, at Principal, directly to the VP of Research.

What You’ll Do

• Design benchmarks and RL environments that measure real model capability for frontier labs and enterprise clients
• Originate evaluation methodology and translate it into scoring frameworks, rubrics, and evaluation architectures
• Write and ship the production code that implements your designs
• Build and maintain the data pipelines that feed evaluation runs
• Run the analysis that establishes whether a result holds, and make evaluations reproducible
• Partner with Research Scientists on methodology review, with Solutions Architects on client requirements, and with ML software engineers who build and maintain the underlying platform

What We Need

• Production-quality code written daily; this is a hard requirement
• Python & ML Stack: Fluency in Python and comfort across the modern ML stack
• Evaluation & Infrastructure: Real experience building evaluation systems, RL environments, or training and inference infrastructure
• Agentic Systems: Hands-on experience with modern agentic flows
• RL & Frontier Evaluation: Familiarity with reinforcement learning methods and how frontier models are evaluated; we weigh this more heavily than years of experience
• A track record of turning ambiguous research questions into working systems, and publishing or shipping the result

You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.

*Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.

What It’s Like to Work at Invisible:

At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.

We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in.

Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process.

_AI Interviewing Guidelines:_

Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we’ve outlined expectations for using it ethically throughout your interview journey._ _Click here to learn more about how we use AI and our guidelines for candidates.

Accessibility Statement:We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request.__Here is the link the google form: https://docs.google.com/forms/d/e/1FAIpQLScqsu0PCQ0m0lwt-VFeXovNbZxWk0jogv8QI_ciGqZsIbSBjQ/viewform?usp=sharing&ouid=102356854798492362557

Equal Opportunity Statement: We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.

Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.

About Invisible

Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.

Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.

Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.

Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.

About The Role

Invisible is building a reinforcement learning capability inside its research organization, focused on evaluation methodology, benchmarks, and RL environments for frontier labs and enterprise clients. As a Research Engineer, you’ll work on how frontier models are measured, meaning the evaluations that labs and enterprises actually make decisions on, with direct influence over the methodology and not just its implementation.

You’ll take a research question (how do we measure whether a model can do this work, and how do we make that measurement reproducible?) and turn it into a scoring framework, an evaluation architecture, or an environment design, then ship the production system that runs it. This role doesn’t hand specifications to someone else to build, and it doesn’t only build what others have specified. It’s a fit for someone who wants to design the approach and write the code that proves it out.

Depending on level, the role reports to the Lead Research Engineer or, at Principal, directly to the VP of Research.

What You’ll Do

• Design benchmarks and RL environments that measure real model capability for frontier labs and enterprise clients
• Originate evaluation methodology and translate it into scoring frameworks, rubrics, and evaluation architectures
• Write and ship the production code that implements your designs
• Build and maintain the data pipelines that feed evaluation runs
• Run the analysis that establishes whether a result holds, and make evaluations reproducible
• Partner with Research Scientists on methodology review, with Solutions Architects on client requirements, and with ML software engineers who build and maintain the underlying platform

What We Need

• Production-quality code written daily; this is a hard requirement
• Python & ML Stack: Fluency in Python and comfort across the modern ML stack
• Evaluation & Infrastructure: Real experience building evaluation systems, RL environments, or training and inference infrastructure
• Agentic Systems: Hands-on experience with modern agentic flows
• RL & Frontier Evaluation: Familiarity with reinforcement learning methods and how frontier models are evaluated; we weigh this more heavily than years of experience
• A track record of turning ambiguous research questions into working systems, and publishing or shipping the result

You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.

*Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.

What It’s Like to Work at Invisible:

At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.

We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in.

Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process.

_AI Interviewing Guidelines:_

Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we’ve outlined expectations for using it ethically throughout your interview journey._ _Click here to learn more about how we use AI and our guidelines for candidates.

Accessibility Statement:We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request.__Here is the link the google form: https://docs.google.com/forms/d/e/1FAIpQLScqsu0PCQ0m0lwt-VFeXovNbZxWk0jogv8QI_ciGqZsIbSBjQ/viewform?usp=sharing&ouid=102356854798492362557

Equal Opportunity Statement: We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.

Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.

At ExtraHop, we’re on a mission to protect and empower the connected enterprise. We reveal what is happening in the very infrastructure that sustains businesses, lives, and communities, and ensure the integrity of networks, data, systems, and processes. Organizations rely on ExtraHop to provide visibility into the cyber threats, vulnerabilities, and network performance issues that evade their existing security and IT tools. With this insight, organizations can investigate smarter, stop threats faster, and keep operations running.

Our mission is fueled by a profound social and moral responsibility to be the best at what we do, ensuring a secure world where everyone can thrive. If this sounds like a place you’d like to spend the next chapter of your career, we’d love to hear from you.

Position Summary

ExtraHop is at the forefront of cybersecurity innovation, delivering Network Detection and Response (NDR) solutions that help organizations detect, investigate, and respond to cyber threats in real time.

Join ExtraHop as a Senior Data Scientist and help advance the machine learning and artificial intelligence capabilities that power our products. You will analyze large-scale network telemetry, develop and evaluate methods for identifying malicious behavior, and improve the accuracy and efficacy of ExtraHop’s threat detection capabilities.

This is an applied data science role for someone who enjoys solving ambiguous, high-impact problems using statistical analysis, experimentation, and machine learning. You will work closely with other data scientists, threat researchers, and software engineers to translate research into reliable product capabilities, and play a key role in contributing to the improvement of the RevealX platform.

Key Responsibilities

• Analyze large-scale network telemetry to identify behavioral patterns, anomalies, and signals associated with malicious activity.
• Design, develop, and refine machine learning and AI-based methods that support ExtraHop’s products.
• Develop evaluation methods appropriate for cybersecurity data, including highly imbalanced datasets, incomplete labels, rare events, and changing attacker and network behavior.
• Conduct exploratory data analysis, feature engineering, model development, and error analysis using complex, high-volume datasets.
• Research emerging machine learning and AI techniques, relevant cybersecurity developments, and assess their applicability to ExtraHop’s products.
• Establish metrics and monitoring strategies for measuring model and detector performance over time.
• Communicate findings, limitations, tradeoffs, and recommendations clearly to technical stakeholders and product leaders.
• Provide technical leadership and mentorship to other data scientists through code reviews, design discussions, technical strategy, and contributions to the team’s analytical and engineering standards.
• Document methodologies, experiments, model behavior, and evaluation results.
• Write clean, maintainable, and well-tested production-quality code.

Required Qualifications

• Bachelor’s degree in Data Science, Computer Science, Mathematics, or another quantitative discipline, or equivalent practical experience.
• 7+ years of professional experience in data science, including developing and evaluating machine learning models for real-world use cases, defining meaningful success metrics, and conducting rigorous offline and online evaluations.
• Strong foundation in statistics, experimental design, machine learning, and model evaluation.
• Experience working with incomplete, noisy, or highly imbalanced data; performing detailed error analysis; and identifying the causes of false positives and false negatives.
• Strong proficiency in Python and SQL, experience with common data science and machine learning libraries, and the ability to write maintainable, tested, and reviewable code.
• Experience collaborating with software engineers to integrate data science methods into production systems.
• Strong problem-solving skills, intellectual curiosity, and a track record of independently owning complex technical work.
• Excellent written and verbal communication skills, including the ability to explain technical findings, uncertainty, and tradeoffs to varied audiences.

Preferred Qualifications

• Master’s degree or Ph.D. in Data Science, Computer Science, Mathematics, or another quantitative discipline.

• Experience applying data science or machine learning to cybersecurity, fraud detection, abuse detection, anomaly detection, or another adversarial domain.

• Familiarity with Network Detection and Response, network protocols, threat detection, or incident investigation.

• Experience with time-series analysis, anomaly detection, actuarial modeling, clustering, graph analytics, or unsupervised and semi-supervised learning.

• Experience evaluating models in domains where positive examples are rare, labels are incomplete, and the underlying behavior changes over time.

• Experience with generative AI, large language models, agentic systems, or other emerging AI techniques.

• Familiarity with cloud platforms such as AWS or GCP.

The salary range for this role is $165,000 - $180,000 + bonus + benefits

ABOUT EXTRAHOP

ExtraHop is reinventing Network Detection and Response (NDR) to offer enterprises unparalleled visibility, context, and control against emerging threats. The platform integrates NDR with Network Performance Management (NPM), Intrusion Detection Systems (IDS), and forensics, providing a single, comprehensive solution. By decrypting and analyzing complete packet-level data at wire speed and leveraging cloud-scale machine learning, ExtraHop empowers Security Operations Centers (SOCs) to detect, investigate, and remediate modern cyber risks in real time across their entire hybrid infrastructure, including data center, cloud, and SASE environments.

This comprehensive approach and market innovation have earned ExtraHop unique recognition as the only NDR vendor acknowledged as a leader by all major analyst firms, including the 2025 Gartner® Magic Quadrant for Network Detection and Response™, the 2025 Forrester® Wave for Network Analysis and Visibility, the 2024 IDC® Marketscape for NDR, and the 2025 Gigamon® Radar Report for Network Detection and Response. Since 2007, ExtraHop has consistently helped organizations worldwide extract in-depth network telemetry and contextual insights, affirming its commitment to protecting and empowering the connected enterprise.

OUR VALUES

Our culture is rooted in our five Values. These set the expectations for how we work individually and collectively as a team.

Lead with Purpose: We are driven to deliver results that create a positive impact for our customers, partners, and colleagues.

Act with Integrity: We operate with transparency, authenticity, and always in the best interest of the company.

Find a Way: We are resourceful, tackle hard problems with a sense of urgency and ownership, and do what it takes to get the job done.

Innovate: We listen to customers, partners, and the market, and respectfully push boundaries and challenge the status quo.

Share Success: We run together, we win together. We value diverse perspectives, hold space for all voices, and achieve the best results as a team.

BENEFITS

Employees’ wellbeing is top of mind for the ExtraHop team. Employees and their families will have the option to participate in the following benefits:

• Health, Dental, and Vision Benefits
• Flexible PTO, Sick Time Prorated Based on Date of Hire, and All Federal Holidays (US Only) + 3 Days of Paid Volunteer Time
• Non-Commissioned Positions may be eligible to participate in the Annual Discretionary Bonus Plan
• FSA and Dependent Care Accounts + EAP, where applicable
• Educational Reimbursement
• 401k with Employer Match or Pension where applicable
• Pet Insurance (US Only)
• Parental Leave (US Only)
• Hybrid and Remote Work Model

Our people are our most important competitive advantage, leading the charge against cyber criminals. Join the fight today!

To learn more, visit our website or follow us on LinkedIn .

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