ApplySarthiResearch Engineer, Visual Knowledge Work
Anthropic
Make my CV for this job, freeView job and applyYour CV, rewritten for this role using only your real experience. Sign in with Google and upload your CV. Nothing to install.
Skills named in this job
Read from the description itself, not inferred.
This role on the market
81 open knowledge roles across 44 companies are on ApplySarthi right now, most of them in Hyderabad (8), Mumbai (1), Bengaluru (1).
- Senior Analyst, Billing Operations (Knowledge Management)Mastercard
- US: Service Desk Knowledge ManagerUnisys
- AI Knowledge Analyst I GHX · hyderabad
- Sr Knowledge & Learning AnalystMotorolasolutions
- Business Analytics Manager, Learning & Knowledge Management Analytics - Evernorth - RemoteCigna
What knowledge roles keep asking for: Python (22%), LLMs (19%), RAG (16%), CRM (14%), Machine learning (12%) — counted across their open postings here.
Research Engineer jobs in the United States · Research Engineer jobs in Seattle · Research Engineer jobs in San Francisco · Research Engineer jobs in New York · Remote Research Engineer jobs · Computer vision jobs · Deep learning jobs · ETL jobs · LLMs jobs
Anthropic has 618 open roles listed here.
- Commercial Counsel, Hardware
- Finance & Strategy, Deal Desk - APAC
- Finance & Strategy, Deal Strategy
- Marketing Analytics Lead, Enterprise Marketing
- People Legal Counsel, APAC
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for knowledge roles keep coming back to Python, LLMs, RAG, CRM. Practise those questions before you sit with Anthropic.
Questions you are likely to be asked
- Why do you want to join Anthropic?
- What is your experience with LLMs? 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, Visual Knowledge Work at Anthropic interview free →About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We're looking for a research engineer who believes that visual and spatial reasoning are core to fully unlocking the capabilities of LLMs. On the Vision team, you'll own the end-to-end process of creating training data and RL environments targeting visual knowledge work: identifying long-horizon and vision-heavy tasks, building evals, designing rewards, and scaling data. This is a unique role that combines applied research with hands-on data work. It's also highly collaborative — you'll partner with external vendors, pretraining, RL, and product teams to make sure the environments you build translate into real-world knowledge work capabilities.
What you'll do:
- Own the data strategy for vision capabilities end-to-end, from building evals and scaling RL environments
- Manage technical relationships with external data vendors, including writing task specifications, evaluating visual data and annotation quality, and iterating on reward design
- Develop and improve QA frameworks that catch reward hacking and ensure environment quality at scale
- Run generalization experiments to measure how data strategy changes improve multimodal capabilities on held-out evaluations
- Partner with pretraining, RL, and product teams, and do the science that shows we’re all rowing in the same direction
You may be a good fit if you:
- Have 7+ years of ML, computer vision, and software engineering experience through industry, academia, or other projects
- Have experience with reinforcement learning, reward design, or training data curation for large language or vision-language models
- Are familiar with the architecture, training, and operation of large vision language models
- Are comfortable managing technical vendor relationships and iterating quickly on feedback
- Are results-oriented, with a bias towards flexibility and impact
- Care about the societal impacts of your work
Strong candidates may also have experience with:
- Designing evals or benchmarks for LLMs or vision language models
- Large-scale pretraining, SL, and RL on language models
- Deep learning research on images, video, or other modalities
- Developing complex agentic systems using LLMs
- Large-scale ETL and data pipeline development
Representative projects:
- Writing a vendor-facing specification for a new family of visual RL training tasks, then iterating with the vendor on coverage, quality, and reward design
- Running experiments to determine ideal training datamixes and parameters for a synthetically generated vision dataset
- Finetuning Claude to maximize its performance using a particular set of agent tools/skills
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Match this job to your CV
ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.
Check my match →Similar open roles
- Staff Software Engineer, GTM AI Engineering Anthropic
- Anthropic Fellows Program, AI Safety & SecurityAnthropic
- Anthropic Fellows Program, ML Systems & Reinforcement LearningAnthropic
- Anthropic Fellows Program, The Anthropic Institute (Economics & Policy)Anthropic
- Applied AI ArchitectAnthropic · bengaluru
- Applied AI Architect, PartnershipsAnthropic · bengaluru
- Community Engagement Manager, Data Centers (Texas)Anthropic
- Community Engagement Manager, Data Centres (Australia)Anthropic
Need answers during your interview? Try Live Sarthi.
Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.
- Hidden from supported screen sharingThe overlay stays out of supported Windows screen captures.
- Answers start in about 1.5 secondsResponse time varies with your connection and model.
- From your own CVYour projects and your experience, not a generic script.
- 30 minutes freeThen ₹99 for a 2-day pass with unlimited calls — you pay for the days you are interviewing, not a subscription.
A Windows app, from the same team as ApplySarthi.
Listed on greenhouse · posted 2026-01-16. ApplySarthi collects openings and links to application pages; the role is advertised by Anthropic, not by us.