{"id":127873,"url":"https://alion.io/job/krea-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":48104,"name":"KREA","domain":"krea.ai","url":"https://alion.io/company/krea","size_band":"1-10","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":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":170000,"max_usd":373000,"period":"year","method":"role_country_seniority_unknown","sample_n":4027},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Diffusion Models","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2025-07-31T06:27:49Z","employer_posted_date":"2025-07-31","last_verified_at":"2026-10-17T10:32:50Z","board_verified":true,"closed_at":null,"days_open":443,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":442},"description":"About Krea\nAt Krea, we are building next-generation AI creative tools.\nWe're dedicated to making AI intuitive and controllable for creatives - our mission is to build tools that empower human creativity, not replace it. We believe AI is a new medium that allows us to express ourselves through various formats - text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. We recently took this a step forward with the launch of Krea 2, our first foundation model, built completely from scratch for aesthetic diversity and stylistic control.\nWe've raised over $83M and are backed by world-class investors such as a16z, Bain Capital, and Abstract. We work full-time and in-person at our waterfront office in San Francisco. We care about creativity: our team includes musicians, designers, visual artists, and engineers.\nThis role\nWe're looking for a machine learning engineers who can work on large-scale image and video models training experiments.\nWhat you'll do\nTrain foundation diffusion models for image and video generation\n\nTrain controllability modules such as IPAdapters or ControlNets\n\nDevelop novel research techniques and put them into production\n\nConducting large-scale experiments on high-performance computing clusters, optimizing data pipelines for massive image datasets\n\nWhat we're looking for\nProven track record in working with image or video models at scale (publications or open-source contributions a plus)\n\nStrong background in deep learning frameworks and distributed training paradigms\n\nAbility to iterate rapidly, and propose creative research directions\n\nWhat we offer\nTeam: Work alongside a world-class team building the future of AI creative tooling\n\nImpact: Significant scope and company-wide impact\n\nCompetitive compensation: generous salary & equity packages\n\nHealth & wellness: 100% health & 99% dental/vision insurance premiums covered for employees, health FSA accounts, & long-term disability coverage\n\nTime off: Flexible PTO policy\n\nFinancial planning: 401k with a 4% company-sponsored match\n\nMeals in the office: breakfast, lunch, dinner - 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