{"id":1278154,"url":"https://alion.io/job/google-research-engineer-generative-media","title":"Research Engineer, Generative Media","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tel Aviv, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":107000,"max_usd":268000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1271},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Diffusion Models","optional":false},{"name":"DreamBooth","optional":false},{"name":"Machine Learning","optional":false},{"name":"Transformers","optional":false},{"name":"PyTorch","optional":true},{"name":"Stable Diffusion","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-08-21T16:38:27Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-09-26T21:50:13Z","board_verified":true,"closed_at":null,"days_open":36,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":36},"description":"About the job\nAt Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.\nThe Creative Camera team mission is to imagine and build the future of photography and videography. Our team is reinventing digital imagery: from pioneering new generative and diffusion models for creating the highest-quality images and videos possible, to creating entirely new ways of capturing and reliving our experiences.\nThe Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.Responsibilities\nDesign, implement, train, and evaluate deep learning architectures-particularly diffusion models and transformers-for image and video synthesis.\nDevelop and apply algorithms in computer vision, graphics, and machine learning for Google applications, focusing on computational photography, computational videography, and content creation.\nConduct both fundamental and applied research to identify and solve creative, novel problems that revolutionize editing, and creation of visual media.\nLeverage deep theoretical and practical knowledge to prototype new technologies that unlock visual experiences for users.\nBuild upon our strong track record of publishing graphics venues (with previous publications including Dreambooth, GameNGen, ObjectMate, LightLab, and many more), and successfully transfer these innovations into Google products that reach millions to billions of users.\nQualifications\nMinimum qualifications:\nBachelor’s degree or equivalent practical experience.\n5 years of experience leading a research agenda.\nExperience in designing, training, and evaluating deep generative models (e.g., Diffusion Models, Transformers, GANs) for media synthesis and manipulation (image, video, audio).\nExperience with experimentation, dataset curation, eval systems, and building ML pipelines.\nExperience with machine learning, computer vision, and deep learning.\nOne of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).\nPreferred qualifications:\nMaster's degree or PhD in Computer Science, or a related technical field.\n3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.\n2 years of experience with Machine Learning and Deep Learning frameworks (e.g., TensorFlow, PyTorch).\nExperience or deep domain familiarity with Machine Learning, Computer Vision, Generative AI, or 3D graphics/rendering technologies.","description_format":"text","description_chars":3599,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":5,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Operating Systems","Streaming & OTT Platforms","Foundation Models","Consumer Internet Groups"],"lifecycle":[{"event":"open","at":"2026-09-26T02:15:01Z"}],"liveness":{"score":41,"band":"fade","label":"Fading","p_open":1,"p_active":0.739,"p_room":0.55,"age_days":35,"expected_fill_days":30,"reasons":["conf:3","velocity","win:tail","comp:brand"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/google-research-engineer-generative-media","json_url":"https://alion.io/job/google-research-engineer-generative-media.json","meta":{"generated_at":"2026-09-27T02:08:16Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1900,"day_limit":5000,"remaining_today":3100,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}