{"id":1262473,"url":"https://alion.io/job/compresr-research-intern","title":"Research Intern","company":{"id":3779724,"name":"Compresr","domain":"compresr.ai","url":"https://alion.io/company/compresr","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","Lausanne, Switzerland"],"countries":["US","CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":56000,"max_usd":96000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":145},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"Claude Code","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Cloudflare","optional":true}],"status":"live","first_seen_at":"2026-07-23T02:31:45Z","employer_posted_date":"2026-07-23","last_verified_at":"2026-10-01T08:56:16Z","board_verified":true,"closed_at":null,"days_open":70,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":70},"description":"Duration: 3 months, with a possibility of a full-time job afterwards\nStart date: immediately\nAbout us\nWe're building state-of-the-art context compression. Our mission is to become the \"Cloudflare for LLMs\", a compression layer embedded into most LLM pipelines by default.\n\nWe're a team of ex-EPFL MSc/PhDs. We started by publishing papers, then got into YC and started making money helping companies cut their LLM costs.\n\nWe run the business like a research lab: form hypotheses, kill the ones that don't work, double down on the ones that do.\n\nWhat we offer\nCompetitive compensation\n\nAll the resources you need: GPUs, subscriptions, OpenAI/Anthropic credits\n\nAs much responsibility as you can handle. Our goal is to make you an irreplaceable part of the team\n\nA fast-paced environment where you'll learn much faster than usual, surrounded by technical people who push each other\n\nPossibility of a full-time offer based on performance\n\nWhat we can't offer\nHands-on supervision. We're around for brainstorming and high-level guidance, but you own your work and will be the person who knows it best.\n\nA well-defined project. We're early-stage and led by customer and market pull, so we work on several directions at once. You'll navigate this alongside the rest of us.\n\nTraining wheels. After a short onboarding, you'll work on hard, customer-facing, time-sensitive problems like everyone else. Not a typical internship.\n\nWe're running a tight ship on a rough sea. Not for everyone, but you'll come out the other side a much stronger sailor.\nAbout you\n1. You love research, read papers and hack on new repos for fun\n2. Comfortable training ML models/transformers and doing independent applied research\n3. Excellent Claude Code (or similar) user\n4. Highly ambitious, ready for high-intensity YC startup culture, self-motivated\n5. Strong communicator, fast response time, team player\nPreferred\n1. LLM research experience, shown through publications, open-source contributions, or personal projects\n2. BSc or MSc in CS/DS, math, or physics.\n3. Startup or research internship experience (industry or academic)\nInterview process\nA 40-minute call: 20 minutes for introductions and motivations, followed by 20 minutes of technical questions (mostly ML/LLM foundational questions)\n\nA paid take-home project designed to take around 6 hours, followed by a 30-minute call to walk us through your work and answer a few questions\n\nA 30-minute culture interview with the whole team\n\nOffer","description_format":"text","description_chars":2472,"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":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Switzerland","iso":"CH","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","LLM & Generative AI"],"lifecycle":[{"event":"open","at":"2026-09-25T20:58:01Z"}],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.243,"p_room":0.28,"age_days":70,"expected_fill_days":21,"reasons":["conf:26","win:tail","crowd:junior"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/compresr-research-intern","json_url":"https://alion.io/job/compresr-research-intern.json","meta":{"generated_at":"2026-10-01T18:21:07Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":631,"day_limit":5000,"remaining_today":4369,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}