{"id":1229329,"url":"https://alion.io/job/google-deepmind-research-engineer-generative-media","title":"Research Engineer, Generative Media","company":{"id":4,"name":"Google DeepMind","domain":"deepmind.google","url":"https://alion.io/company/deepmind","size_band":"1001-5000","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":"middle","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":102000,"max_usd":274000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":456},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Diffusion Models","optional":false},{"name":"Machine Learning","optional":false},{"name":"Transformers","optional":false},{"name":"JAX","optional":true},{"name":"Multimodal AI","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-09-18T06:39:52Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-26T05:12:51Z","board_verified":false,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"About the job\nOur team's mission is to build frontier generative media experiences. We are pushing the boundaries of what is possible by developing real-time, interactive video models like Genie, as well as exciting new applications and capabilities.\nWe have a proven track record of researching and delivering foundational generative models for video and action-controllable virtual worlds, as well as applications such as video stylization, reference-to-video generation, and precise object insertion and removal.\nArtificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.\nWe are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.\nResponsibilities\nDesign, implement, train, and evaluate novel deep learning models for real-time generative media, including video-audio synthesis, manipulation, and understanding.\nDevelop and optimize algorithms and systems for AI experiences on Omni platforms, focusing on live dialog, live video editing, and crosscut.\nCollaborate with research scientists and engineers to prototype, experiment, and scale generative AI techniques using software engineering best practices.\nContribute to the design of datasets, evaluation methodologies, and infrastructure required for training and testing generative models.\nAnalyze results to iterate on architectures, contribute to research publications, and help deploy successful research into GDM and Google products.\nQualifications\nMinimum qualifications:\nBachelor’s degree or equivalent practical experience.\n4 years of experience in designing, training, and evaluating deep generative models (e.g., Diffusion Models, Transformers, GANs) for media synthesis and manipulation (image, video, audio).\n4 years of experience with experimentation, dataset curation, eval systems, and building ML pipelines.\n4 years of experience with machine learning, computer vision, and deep learning.\nPreferred qualifications:\nMaster's or PhD degree in Computer Science, Machine Learning, Statistics, or a related field, or equivalent practical experience.\nExperience with multimodal learning, integrating video, audio, and text.\nExperience with video generation and editing models.\nExperience with Python and deep learning frameworks such as JAX, TensorFlow, or PyTorch.\nKnowledge of techniques for model optimization and efficient/low-latency inference suitable for real-time applications.\nFamiliarity with real-time systems or media streaming technologies.","description_format":"text","description_chars":2956,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"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":["LLM & Generative AI","Foundation Models","AI Research Labs","AI for Science"],"lifecycle":[{"event":"open","at":"2026-09-25T14:29:09Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":8,"expected_fill_days":184,"reasons":["conf:24","velocity","win:early"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/google-deepmind-research-engineer-generative-media","json_url":"https://alion.io/job/google-deepmind-research-engineer-generative-media.json","meta":{"generated_at":"2026-09-28T05:43:15Z","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":3917,"day_limit":5000,"remaining_today":1083,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}