{"id":1888743,"url":"https://alion.io/job/spaitial-ml-inference-engineer","title":"ML Inference Engineer","company":{"id":688399,"name":"SpAItial","domain":"spaitial.ai","url":"https://alion.io/company/spaitial","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":83,"open_postings":9,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","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","Munich, Germany"],"countries":["GB","DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"World Models","optional":false}],"status":"live","first_seen_at":"2026-10-05T03:34:48Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-10T23:18:46Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality. We are moving beyond 2D pixels to build models that natively understand the physics and geometry of our world. Our mission is to redefine how industries, from robotics and AR/VR to gaming and cinema, generate and interact with physically-grounded 3D environments.\nWe’re seeking a Research Engineer to own the backend that serves our world models. You will build and run the inference systems behind our product and API, turning frontier research models into fast, reliable, and scalable services. This is a hands-on role for someone who has already owned production APIs in an AI system and can work closely with researchers to bring new models to users.\nResponsibilities\nOwn the inference services and APIs that power our product, from request to generated output.\n\nOptimize serving performance, reliability, and cost at scale. Maximize GPU utilization and minimize device memory footprint.\n\nApply latest techniques for improving inference performance.\n\nDeploy research models as production services, including customer-specific configurations.\n\nWork with research and product colleagues to bring new models to users.\n\nKey qualifications\n3+ years of software engineering in an AI, machine learning, or computer vision product environment.\n\nExperience designing and owning production APIs.\n\nStrong Python, and experience shipping containerized services on GPU inference platforms.\n\nHands-on GPU inference performance work: profiling, memory, batching, and cold start.\n\nFamiliarity with 3D or computer vision data is a strong plus.\n\nAt SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. 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