{"id":3801156,"url":"https://alion.io/job/encord-research-engineer","title":"Research Engineer","company":{"id":557,"name":"Encord","domain":"encord.com","url":"https://alion.io/company/encord","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Computer Vision","optional":false},{"name":"Databricks","optional":false},{"name":"ElevenLabs","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Physical AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Vercel","optional":false}],"status":"live","first_seen_at":"2026-10-12T19:32:32Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-11-07T12:37:55Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":25},"description":"About us\nWe're solving AI's hardest problem: alignment.\nEncord is the data layer for Physical AI and enterprise, serving as core infrastructure for 300+ of the world's leading AI teams, including Woven by Toyota, Hitachi, Skydio, AbbVie and Dyna, Walden and Agility Robotics. From autonomous vehicles and robotics to sports and healthcare, we're solving AI's hardest problem: turning complex, real-world data into production-ready intelligent systems.\nWe're a team of founders, scientists, quants, researchers, and former Olympians, who’ve helped build some of the most successful companies in Silicon Valley, and alumni of MIT, Stanford, UC Berkeley, Oxford, Cambridge, and Imperial. We’ve raised $110M from legendary technology investors, early backers of companies like Databricks, ElevenLabs and Vercel, and we’re growing at an extraordinary pace.\nWe're looking for exceptional people who want to help build a category-defining company, operating with high urgency and taking real ownership to help shape the future of AI.\nThe role\nWe're looking for a Research Engineer to join Encord's ML team. You'll work on robotics, computer vision and multimodal research in data curation, annotation, evaluation and quality control, with successful work going into the core product.\nWe face a variety of interesting research problems across the full data life-cycle, including annotation, quality control, verification and curation. We are looking to strengthen our team to build upon and extend our market-leading platform. The kind of problems we solve are constantly evolving alongside the needs of our frontier customers, including many of the leading robotics and physical AI teams. Join us as we leverage our massive flow of proprietary data on our journey to develop generalised solutions applicable across diverse multi-modal tasks.\nWhat you'll do\nForm hypotheses, design experiments, and drive original research on open problems from leading robotics and AI customers\n\nResearch and prototype agentic workflows which can handle multimodal inputs and diverse customer ontologies\n\nAdvance our work on data curation and model evaluation\n\nTackle egocentric video understanding, from captioning to deeper 3d understanding\n\nBuild working prototypes to test ideas end to end, then partner with our ML systems and Product Engineering teammates to bring them into the platform\n\nHelp shape our longer-term research direction and bring the most relevant ideas from the field back to the team\n\nPublish research papers and present your work at conferences and workshops\n\nWho we're looking for\nA builder with a research mindset. You can take an open-ended problem, form a hypothesis and get to a working prototype without a detailed spec.\n\nA first-principles problem solver. You lean on strong fundamentals rather than surface-level familiarity with the latest trends.\n\nA big-picture thinker. You're excited by ambitious, longer-term problems and know how to break them into steps.\n\nA multiplier. You raise the level of the team around you by shaping research direction, mentoring others and turning findings into decisions.\n\nExperience requirements\nA PhD in computer vision, machine learning or a related field, or equivalent applied research experience\n\nA strong background in computer vision and multimodal ML, whether in traditional CV, modern VLMs and embedding models, or both\n\nClear evidence of independent research, such as publications, a thesis, open-source work or applied research where you owned the original contribution\n\nSolid mathematical foundations in statistics, probability and linear algebra\n\nStrong Python and PyTorch skills, and experience running experiments end-to-end\n\nA genuine interest in data-centric AI: curation, evaluation and data quality\n\nBonus: experience applying LLM-based agents to visual tasks, or working with video, 3D or other complex data types\n\nWe’ll start reviewing applications from 1 November 2026. It may take a little while to hear back, but every application will get proper consideration.\nWhy Encord\nCompetitive salary, commission, and meaningful equity in a high-growth startup\n\nClear, accelerated growth opportunities as the company scales rapidly\n\nStrong in-person culture: 4 days/week\n\nDaily team lunches & dinners\n\nAnnual learning & development budget\n\nComprehensive health, dental, and vision coverage\n\nUS employees: 18 paid vacation days plus US public holidays\n\nUK employees: 25 paid vacation days plus UK public holidays\n\nFrequent travel opportunities across the U.S., London, and Europe\n\nBi-annual company offsites & monthly socials\n\nOperating principles\nHigh agency\nYou see something broken, you fix it or find the person who can. We celebrate the people who solve 90% of a problem before anyone asks.\nBuild with care & urgency\nWe bear-hug the customer. Former founders and people from fast-moving, high-stakes environments thrive here.\nSelf-aware & hungry\nWe stay warm, self-aware, and genuinely hungry. We elevate our peers, and ego doesn't last long.\nInvent in real time\nWe move toward the ambiguity. We’re pragmatic, resourceful, energized by the fact that there's no playbook.\nIf you're looking to do the most meaningful work of your career alongside people who push you to be better, we'd love to meet you.","description_format":"text","description_chars":5262,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Growth opportunities"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["MLOps","AI Training Data & Annotation"],"lifecycle":[{"event":"open","at":"2026-11-05T11:32:21Z"}],"visa":[],"liveness":{"score":79,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.881,"p_room":0.9,"age_days":25,"expected_fill_days":69,"reasons":["conf:0","velocity","win:mid"],"computed_at":"2026-11-07T05:47:08Z"},"pay":null,"html_url":"https://alion.io/job/encord-research-engineer","json_url":"https://alion.io/job/encord-research-engineer.json","meta":{"generated_at":"2026-11-07T13:09:49Z","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":15542,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":557},"rest":"https://alion.io/mcp/rest/get_company?id=557"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fencord-research-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fencord-research-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fencord-research-engineer"},{"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/encord-research-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fencord-research-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3801156}},{"tool":"search_jobs","arguments":{"company":"encord.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3801156},"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. 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