{"id":761513,"url":"https://alion.io/job/swarmer-senior-data-scientist","title":"Senior Data Scientist","company":{"id":687566,"name":"Swarmer","domain":"swarmer.com","url":"https://alion.io/company/swarmer-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kyiv, Ukraine"],"countries":["UA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":64000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude Code","optional":false},{"name":"Computer Vision","optional":false},{"name":"Cursor","optional":false},{"name":"ETL/ELT","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Sim-to-Real","optional":false}],"status":"live","first_seen_at":"2026-09-02T16:02:51Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-10-30T14:23:25Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":58},"description":"Swarmer develops software that makes drones autonomous and allows them to operate together, in large, coordinated teams - no pilots needed. Our technology has been battle-tested in Ukraine- the world’s most intense proving ground for drone warfare.\nIn March 2026, we became the first Ukrainian defense startup to go public on NASDAQ, following a $15M Series A - the largest investment in a Ukrainian defense tech company since the start of the war.\nWorking at Swarmer means operating at the intersection of engineering rigor and frontline reality. The problems and environments are complex, and the stakes are very real. We built this software to enable democratic nations to defend themselves.\nIf you are motivated by building resilient systems that matter and by seeing the direct impact of your work, you’ll find purpose here.\nWho we are looking for:\nWe are looking for a hands-on Data Scientist who can own and contribute to existing ML/CV pipelines in a robotics autonomy stack, and who can also own and grow the data side of the house - from collection and labeling through lakes/warehouses to training and evaluation. This is an IC-first role with real ownership: you write code, ship models and data products, and improve the loops that turn flight and simulation data into better autonomy.\nWe are not looking for a pure researcher, a detached platform architect, or someone who only does notebooks. We need someone who can work end-to-end across models, data, and robotics constraints, with strong judgment and delivery discipline.\nWhat you’ll do:\nOwn and contribute to existing ML/CV flows in our robotics autonomy and perception stack (LMT, ATR, VISNAV and related systems): training, evaluation, iteration, and integration with onboard/edge pipelines.\n\nDesign, build, and operate data flows: ingestion from flights and sims, storage (data lakes / warehouses), labeling workflows, dataset versioning, and reproducible training/eval pipelines.\n\nWork extensively with simulated data: generate, validate, mix with real flight data, measure sim-to-real gaps, and improve dataset quality for perception and autonomy models.\n\nImprove model quality under field constraints: noisy sensors, limited compute, edge deployment (e.g. Jetson), and operational edge cases.\n\nPartner closely with robotics, autonomy, and product engineers to ship changes that show up in real missions - not only offline metrics.\n\nBuild practical tooling and automation that speeds up the team: dataset curation, experiment tracking, evaluation harnesses, AI-assisted workflows.\n\nMake pragmatic technical choices: when to retrain, when to fix data, when physics/heuristics beat another model.\n\nYou’ll be a good fit if you have:\nStrong hands-on experience as a Data Scientist / ML Engineer working on computer vision, perception, or robotics-related ML.\n\nProven ability to own both model work and data infrastructure (pipelines, lakes/warehouses, dataset management) - not only one side.\n\nExperience training and evaluating CV/ML models (detection, tracking, recognition, or similar) and integrating them into real systems.\n\nComfort working with simulated data and hybrid real+sim datasets; awareness of domain gap and how to measure/reduce it.\n\nSolid Python and modern ML tooling (PyTorch/TF, experiment tracking, data/ETL basics); ability to write production-quality code, not only prototypes.\n\nFundamentals in math and physics - comfortable reasoning about sensors, geometry, dynamics, and the physical world before defaulting to “let’s train a model.”\n\nExperience deploying or preparing models for edge / embedded platforms (e.g. Jetson, Qualcomm) is a strong plus; cloud-only experience is not enough by itself.\n\nReal power-user experience with AI engineering tools (Cursor, Claude Code, Codex, or similar) and willingness to use them daily.\n\nUpper-Intermediate English or higher.\n\nAbility to operate with high ownership in a fast-moving environment: ship, measure, iterate.\n\n Would be an advantage:\nDepth in ATR, object recognition, tracking, or autonomous systems.\n\nExperience with robotics, drones, aerospace, or defense / OT environments.\n\nHardware-software integration experience.\n\nBuilding or scaling data platforms for ML teams (lakes, warehouses, feature/dataset stores, labeling ops).\n\nExperience closing the loop from field logs → datasets → models → redeployed autonomy.\n\nWhat you’ll get:\nA chance to shape core autonomy and perception systems at the heart of Ukraine’s defense tech ecosystem and its international expansion\n\nDirect impact in a high-stakes industry where security decisions carry real-world consequences\n\nProfessional growth through cutting-edge defense technologies and exposure to international security best practices\n\nCompetitive salary, benefits package (insurance, paid sick leaves, 20 paid days off per year)\n\nBenefits of the defense sector (reservation, etc.)\n\nHow’s the hiring process going:\nRecruiter Screen → Technical Interview → Managerial Interview → Final Interview with CEO → Background check → Offer\n Ready to Apply?","description_format":"text","description_chars":5042,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Ukraine","iso":"UA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Military Drones","Drone 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