ApplySarthiResearch Engineer
Invisible Technologies
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1,500 open research roles across 262 companies are on ApplySarthi right now, most of them in Bengaluru (44), Mumbai (21), Delhi NCR (16).
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What research roles keep asking for: Python (37%), Machine learning (32%), PyTorch (19%), LLMs (16%), Deep learning (14%), C++ (13%) — counted across their open postings here.
Research Engineer jobs in the United States · Research Engineer jobs in San Francisco · Research Engineer jobs in New York · Remote Research Engineer jobs · AWS jobs · Python jobs · Supply chain jobs · Talent acquisition jobs
Invisible Technologies has 20 open roles listed here.
- Corporate Counsel
- Staffing Associate (Contract)
- Director of Engineering, Data Labs
- Head of Frontier AI
- People Experience Manager
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for research roles keep coming back to Python, Machine learning, PyTorch, LLMs. Practise those questions before you sit with Invisible Technologies.
Questions you are likely to be asked
- Why do you want to join Invisible Technologies?
- What is your experience with Python? Tell me one thing you learned the hard way.
- Walk me through a system you built. How was it designed, and what would you change now?
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Research Engineer at Invisible Technologies interview free →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.
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Listed on greenhouse · posted 2026-09-22. ApplySarthi collects openings and links to application pages; the role is advertised by Invisible Technologies, not by us.