{"id":2022923,"url":"https://alion.io/job/e-space-ai-embedded-ml-engineer","title":"AI / Embedded ML Engineer","company":{"id":2438005,"name":"E-Space","domain":"e-space.com","url":"https://alion.io/company/e-space-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Saratoga, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":225000,"currency":"USD","period":"year","gross":null,"usd_annual":225000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Edge AI","optional":false},{"name":"FreeRTOS","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"LiteRT","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"ONNX Runtime","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Quantization","optional":false},{"name":"RTOS","optional":false},{"name":"Rust","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"TFLite","optional":false}],"status":"live","first_seen_at":"2026-09-04T00:08:36Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-08T23:39:22Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"description":"Join our team as an AI / Embedded ML Engineer, where you will be responsible for the full lifecycle of AI/machine learning on resource-constrained hardware. You will work closely with cross-functional teams, including hardware engineers, firmware developers, and data scientists, to deliver production-ready ML solutions on embedded devices. This position is based in Saratoga, CA.\nMissions\nConception et construction de pipelines d'ingestion de données à partir de capteurs, y compris le traitement des données brutes.\nDéveloppement et formation de modèles d'apprentissage automatique pour des tâches de classification, de régression, de détection d'anomalies et de traitement du signal.\nOptimisation des modèles pour le déploiement sur des microcontrôleurs et des processeurs de périphérie, y compris l'application de techniques de quantification, de taille et de distillation des connaissances.\nProfil recherché\n - Strong background in signal processing, sensor data handling, and real-time system constraints- Solid understanding of model optimization techniques including quantization, pruning, and distillation\n- Strong understanding of memory-constrained and power-constrained environments\n- Proficiency in Python for ML development using frameworks such as PyTorch, TensorFlow, or scikit-learn\n- Hands-on experience with IMUs and other sensor types including accelerometers, gyroscopes, barometers, and microphones\n- Experience deploying models with at least one embedded ML framework such as TFLite Micro, Edge Impulse, or ONNX Runtime\n- Experience with C or C++ for embedded systems development\n- 2+ years of experience in machine learning engineering, with at least 2 years focused on embedded or edge ML\n- Experience with RTOS platforms such as FreeRTOS or Zephyr\n- Familiarity with MCU families including NXP, STM32, ESP32, or similar\n- Experience designing hybrid edge-LLM pipelines or integrating small language models on device\n- Experience with hardware-aware neural architecture search or AutoML for edge targets\n- Background in feature extraction techniques such as FFT, filter banks, and wavelet transforms\n- Familiarity with Rust for embedded or systems programming\n- Prior work on products in wearables, robotics, industrial sensing, or IoT\n- Excellent problem-solving skills and the ability to work independently and as part of a team","description_format":"text","description_chars":2357,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-07T13:23:53Z"}],"visa":[],"liveness":{"score":17,"band":"cold","label":"Long shot","p_open":1,"p_active":0.473,"p_room":0.35,"age_days":34,"expected_fill_days":16,"reasons":["conf:2","win:tail","comp:junior"],"computed_at":"2026-10-08T05:49:30Z"},"pay":{"stated_usd_annual":225000,"is_top_pay":false},"html_url":"https://alion.io/job/e-space-ai-embedded-ml-engineer","json_url":"https://alion.io/job/e-space-ai-embedded-ml-engineer.json","meta":{"generated_at":"2026-10-09T00:35:03Z","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","counted_by":"address","units_charged":1,"used_today":798,"day_limit":5000,"remaining_today":4202,"minute_limit":60,"resets_at":"2026-10-10T00:00:00Z"}},"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":2438005},"rest":"https://alion.io/mcp/rest/get_company?id=2438005"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fe-space-ai-embedded-ml-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%2Fe-space-ai-embedded-ml-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%2Fe-space-ai-embedded-ml-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/e-space-ai-embedded-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fe-space-ai-embedded-ml-engineer"}]}