{"id":2538299,"url":"https://alion.io/job/autonomous-teaming-ml-data-engineer-mfd-sensor-data-pipelines","title":"ML Data Engineer (m/f/d) - Sensor Data & Pipelines","company":{"id":4417355,"name":"autonomous teaming","domain":"autonomous-teaming.ai","url":"https://alion.io/company/autonomous-teaming","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Personio","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Munich, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":80000,"max_usd":143000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Computer Vision","optional":false},{"name":"CVAT","optional":false},{"name":"Detectron2","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Label Studio","optional":false},{"name":"MMDetection","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"ClearML","optional":true},{"name":"Docker","optional":true},{"name":"MinIO","optional":true},{"name":"MLFlow","optional":true},{"name":"PyTorch","optional":true},{"name":"ROS","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-09-16T11:21:27Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-10-14T14:57:53Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"What we offer\nWork in an international, agile team creating the future of autonomous systems\nGrow your career in a expanding and ambitious engineering team\nBuild innovative products using state-of-the-art technologies in AI, robotics, and autonomy \nBenefit from a steep learning curve and continuous development\nEnjoy team events and a strong, collaborative culture\nYour mission\nThis role owns the data foundation of our perception systems end-to-end - the layer that directly determines model performance in real-world environments. You'll set the technical direction for how we collect, curate, and continuously improve the datasets behind object detection, working as a senior technical partner to ML, perception, and robotics teams - turning raw, messy sensor data into reliable, production-grade systems at scale.You will take full ownership of the ML data lifecycle - from architecture decisions on ingestion and pipelines, through labeling strategy and QA, to driving continuous, metrics-informed dataset improvement - and will be expected to bring judgment and prior experience to how this is done, not just execute a defined process.\nWhat you'll do:\nArchitect and own scalable pipelines for ingesting, organizing, and preprocessing large volumes of time-series camera and multi-sensor data (RGB, IR, thermal, depth, IMU)\nDrive the strategy behind our object detection datasets, ensuring quality, diversity, and statistical representativeness at scale\nDesign and operate active learning loops that connect model performance directly to data selection and improvement priorities\nOwn labeling workflows end-to-end - tooling decisions, QA methodology, consistency standards, and coordination of annotation efforts\nPartner closely with AI Engineers to diagnose model weaknesses, bias, and drift, and translate findings into concrete dataset strategy\nPlan and lead data collection campaigns (field recordings, drone/video capture) to close gaps with high-value real-world data\nBuild internal tools and dashboards that give the org visibility into dataset quality, distribution, and performance gaps\nYour profile\n5+ years of hands-on experience in Python and data processing frameworks (Pandas, NumPy, vectorized operations, multiprocessing)\nProven track record building and owning ETL/ELT pipelines for large-scale video and sensor datasets in production\nDeep experience with data orchestration and lifecycle management for ML/computer vision workflows, including dataset versioning and reproducibility\nStrong command of object detection pipelines (Detectron2, MMDetection, COCO format, bounding-box standards)\nDemonstrated experience designing active learning, uncertainty sampling, or semi-supervised dataset workflows\nDeep familiarity with data annotation platforms (CVAT, Label Studio) and building automated QA/consistency checks\nStrong grasp of evaluation metrics for object detection (IoU, mAP, precision-recall curves, class-wise metrics)\nComfortable owning decisions around databases (SQL/NoSQL), file systems, and large-scale image, video, and sensor dataset management\nTrack record of working cross-functionally and influencing perception, deployment, robotics, and data infrastructure teams\nFluent in English; German and/or French are a plus\nNice to have\nExperience with cloud storage and MLOps tools (AWS S3, MinIO, ClearML, MLFlow, Weights & Biases).\nFamiliarity with ROS / robotics data formats (bag files, TF trees, sensor_msgs), Docker, or embedded ML workflows.\nPrior work with robotics, drones, or multi-sensor perception systems, including IR, LiDAR, radar, or audio datasets.\nWhat else\nOutside-the-box creativity with a blend of conceptual and systematic design thinking.\nHigh intrinsic motivation, attention to detail, and strong problem-solving mindset.\nStructured, methodical, and reliable execution, even under uncertainty.\nHumble, collaborative, and mission-driven - values collective success over ego.\nHigh ethical standards and disciplined work ethic.\nExtra-curricular achievements, leadership, or unique projects are a plus.\nNATO-aligned nationality or close ally citizenship is required.\nWhy us?\nJoin us to shape the future of AI-driven defense!","description_format":"text","description_chars":4178,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-14T14:57:53Z"}],"visa":[],"liveness":{"score":57,"band":"ok","label":"Likely open","p_open":1,"p_active":0.756,"p_room":0.75,"age_days":28,"expected_fill_days":38,"reasons":["conf:10","win:late"],"computed_at":"2026-10-15T01:43:33Z"},"pay":null,"html_url":"https://alion.io/job/autonomous-teaming-ml-data-engineer-mfd-sensor-data-pipelines","json_url":"https://alion.io/job/autonomous-teaming-ml-data-engineer-mfd-sensor-data-pipelines.json","meta":{"generated_at":"2026-10-15T01:43:33Z","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":2388,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":4417355},"rest":"https://alion.io/mcp/rest/get_company?id=4417355"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fautonomous-teaming-ml-data-engineer-mfd-sensor-data-pipelines"},{"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%2Fautonomous-teaming-ml-data-engineer-mfd-sensor-data-pipelines"},{"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%2Fautonomous-teaming-ml-data-engineer-mfd-sensor-data-pipelines"},{"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/autonomous-teaming-ml-data-engineer-mfd-sensor-data-pipelines\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fautonomous-teaming-ml-data-engineer-mfd-sensor-data-pipelines"}]}