{"id":129714,"url":"https://alion.io/job/spotify-research-scientist-generative-audio-2","title":"Research Scientist - Generative Audio","company":{"id":57,"name":"Spotify","domain":"spotify.com","url":"https://alion.io/company/spotify","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":82,"open_postings":15,"ghost_share":0,"stale_share":0.667,"repost_share":0.067,"time_to_fill_p50_days":50,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"UTC-5 – UTC+1","utc_offset_min":-5,"utc_offset_max":1},"hiring_geo_confidence":"structured","locations":["London, United Kingdom","Stockholm, Sweden"],"countries":["GB","SE"],"hiring_countries":["GB"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"DPO","optional":false},{"name":"GRPO","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Post-training","optional":false},{"name":"PPO","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reward Modeling","optional":false},{"name":"RLHF","optional":false}],"status":"live","first_seen_at":"2026-07-10T14:40:44Z","employer_posted_date":"2026-07-10","last_verified_at":"2026-10-17T15:08:41Z","board_verified":true,"closed_at":null,"days_open":99,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":99},"description":"We are seeking Research Scientists (across all levels of seniority) to join our Artist-First AI Music Lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:\nPartnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.\nChoice in participation: We recognize there’s a wide range of views on the use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.\nFair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for the use of their work and transparently credited for their contributions.\nArtist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.\nLearn more in our press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/\nWhat You'll Do\nConduct groundbreaking research in generative audio using diffusion or flow matching models, with a focus on one or more of the following areas:\nVocal Synthesis - Research in vocal and speech synthesis, along with related areas such as ML-based audio processing and signal processing.\nPost-Training - Research in post-training techniques for music generation, including preference alignment methods (such as DPO, RLHF, or KTO), reward model design and training, and reinforcement learning to improve output quality, controllability, and human preference adherence.\nEditing - Research in iterative music generation and audio editing, including capabilities such as stem replacement, instrumentation change, mood changes (while preserving content), tempo changes, and structure changes.\nYou will also:\nRun large-scale experiments with access to Spotify's extensive infrastructure and an audience of more than 700 million monthly active users.\nCreate practical applications that harness generative technologies and push the boundaries of what's possible in listening experiences.\nCollaborate as part of a cross-functional team-working closely with scientists, engineers, product managers, designers, user researchers, and analysts-to craft innovative solutions to complex challenges.\nHave a direct impact on Spotify's products, tools, and services, working on projects that influence the entire organization.\nEngage with the broader research community by publishing your findings, delivering talks, and attending top conferences.\nWho You Are\nYou have a Ph.D. in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful.\nYou have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas.\nYou have deep expertise in at least one of the focus areas above-whether that's vocal/speech synthesis, post-training alignment techniques (e.g., PPO, GRPO, DPO), or audio-to-audio generation and text-guided music editing.\nYou have publications at leading conferences such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related venues.\nYou have strong coding skills in Python, PyTorch, and NumPy.\nYou are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.\nYou are enthusiastic about turning research ideas into products operating at scale.\nYou can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders.\nWhere You'll Be\nWe offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location\nThis team operates within the Central European and GMT time zone for collaboration.\nCore working hours are CET 3pm-6pm / EST 9am-12pm.","description_format":"text","description_chars":4604,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Music Industry","Podcasting","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-07-10T14:40:44Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-10-17T06:21:15+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.299,"p_room":0.36,"age_days":98,"expected_fill_days":50,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/spotify-research-scientist-generative-audio-2","json_url":"https://alion.io/job/spotify-research-scientist-generative-audio-2.json","meta":{"generated_at":"2026-10-17T15:10:29Z","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":"assistant_verified","counted_by":"address","units_charged":1,"used_today":2565,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":57},"rest":"https://alion.io/mcp/rest/get_company?id=57"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fspotify-research-scientist-generative-audio-2"},{"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%2Fspotify-research-scientist-generative-audio-2"},{"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%2Fspotify-research-scientist-generative-audio-2"},{"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/spotify-research-scientist-generative-audio-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fspotify-research-scientist-generative-audio-2"}]}