{"id":1090073,"url":"https://alion.io/job/collinear-mts-research-scientist-internship","title":"MTS - Research Scientist Internship","company":{"id":673970,"name":"Collinear","domain":"collinear.ai","url":"https://alion.io/company/collinear","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States","San Francisco, United States","Bengaluru, India"],"countries":["US","IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Computer Use","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"RLAIF","optional":false},{"name":"RLHF","optional":false},{"name":"SFT","optional":false}],"status":"live","first_seen_at":"2026-09-21T12:49:17Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-11-10T09:17:20Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"Collinear's Internship program is designed for PhD students who are eligible to do a 12-week internship. Start dates are flexible and can be extended.\nAs an MTS - Research Scientist (Applied Scientist), you will help build the data engine for frontier AI. You will develop the high-fidelity environments and evaluation stacks that the world’s leading AI labs rely on to stress-test their most advanced agents. You will work across domains including Computer Use, Enterprise MCP/Toolcalling and Coding. Verifier Design, Simulated Personas, Benchmarking Personal AGI are some of the research areas we work on.\nResponsibilities:\nBuild Agentic Environments: Design and implement the next generation of \"SimLabs\", ultra-realistic, long-horizon simulation environments where agents learn to navigate ambiguity and maintain context.\n\nProgrammatic and Agentic Verification: Develop rigorous, policy-aware judges and evaluations that measure genuine capability and safety beyond simple benchmarks.\n\nClose the Loop: Design and execute high-quality post-training runs (CPT, SFT, RL) to deliver frontier performance on open-source models using curated, high-signal data.\n\nCollaborate: Work daily with the founders and research staff to shape the roadmap and push the state-of-the-art in AI reliability.\n\nCreate. Work on analyzing model failure modes and creating frontier data pipelines which scale with test-time compute.\n\nAbout You\nWe are looking for individuals who demonstrate a rare combination of technical depth, research intuition, and high agency.\nTechnical Foundation: A Bachelor’s, Master’s, or PhD in a technical field (CS, Math, Physics, etc.), or a demonstrated \"proof of work\" through significant open-source contributions or industry experience.\n\nEngineering Rigor: A strong foundation in software engineering with the ability to build robust, scalable infrastructure. You should be comfortable in a Python-friendly, CLI-first development environment.\n\nML Fluency: A principled understanding of foundation models, including how they are constructed, evaluated, and optimized.\n\nEmpirical Mindset: Experience conducting research or technical experiments with a focus on reproducibility and data-driven results.\n\nWhat will make you stand out\nResearch Taste: You have a strong intuition for identifying what matters in complex problem spaces. You can balance deep research exploration with the pragmatism needed to ship a product.\n\nImpact-Driven Agency: You care about outcomes, not just activity. You don't wait for a ticket; you identify gaps in the system, build the solution, and ensure it moves real-world metrics for frontier AI labs.\n\nDomain Expertise: Prior experience with Reinforcement Learning (RLHF/RLAIF), simulation systems, or building long-horizon agentic environments.\n\nProven Track Record: A history of contributing to influential ML research (e.g., publications at NeurIPS, ICLR, ICML) or maintaining high-impact open-source projects.\n\nPost-Training Experience: Experience fine-tuning or evaluating large-scale models to deliver \"frontier performance\" on open-source benchmarks.\n\nWhy Join Collinear\nOwn the Frontier: Work on the most pressing problem in AI today: making agents reliable enough for production.\n\nHigh Density of Talent: Join a small, elite team where you will be pushed to do your life's work.\n\nElite Compensation: We offer competitive salary and equity packages to ensure we attract the best of the best.\n\nDirect Impact: At a seed-backed startup, your work directly shapes the company's trajectory and the future of AI safety.","description_format":"text","description_chars":3561,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Training Data & Annotation"],"lifecycle":[{"event":"open","at":"2026-09-21T13:22:56Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 4","filings_12m":4,"filings_prev_12m":2,"green_card_filings_12m":0,"median_offered_wage_usd":152500,"route":null,"cap_exempt":false,"checked_at":"2026-11-10T11:34:35+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":2}],"liveness":{"score":17,"band":"cold","label":"Long shot","p_open":1,"p_active":0.463,"p_room":0.36,"age_days":49,"expected_fill_days":32,"reasons":["conf:2","win:tail","crowd:junior"],"computed_at":"2026-11-10T06:52:35Z"},"pay":null,"html_url":"https://alion.io/job/collinear-mts-research-scientist-internship","json_url":"https://alion.io/job/collinear-mts-research-scientist-internship.json","meta":{"generated_at":"2026-11-10T13:42:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":31915,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":673970},"rest":"https://alion.io/mcp/rest/get_company?id=673970"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcollinear-mts-research-scientist-internship"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcollinear-mts-research-scientist-internship"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcollinear-mts-research-scientist-internship"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/collinear-mts-research-scientist-internship\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcollinear-mts-research-scientist-internship"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1090073}},{"tool":"search_jobs","arguments":{"company":"collinear.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1090073},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}