{"id":2723748,"url":"https://alion.io/job/deepgram-research-staff-data-science","title":"Research Staff, Data Science","company":{"id":2629,"name":"Deepgram","domain":"deepgram.com","url":"https://alion.io/company/deepgram","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":89,"open_postings":20,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":78,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["San Francisco, United States","Ann Arbor, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":150000,"max":220000,"currency":"USD","period":"year","gross":null,"usd_annual":220000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure Data Factory","optional":false},{"name":"Cloudflare","optional":false},{"name":"Deepgram","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Twilio","optional":false},{"name":"Vapi","optional":false},{"name":"Voice Agents","optional":false}],"status":"live","first_seen_at":"2026-08-23T17:44:15Z","employer_posted_date":"2026-08-23","last_verified_at":"2026-10-17T16:58:44Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":55},"description":"Company Overview\nDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.\nCompany Operating Rhythm\nAt Deepgram, we expect an AI-first mindset-AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.\nEvery team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.\nAdditionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.\nThe Opportunity\nVoice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.\nThe Role\nDeepgram is currently looking for seasoned Data Scientists with demonstrated experience solving hard data problems while exploring research frontiers to join our Research Staff. Conversational audio presents incredibly rich scientific, engineering, and infrastructure challenges that are orders of magnitude harder than working with text. As a Member of the Research Staff, you will help us to build an industrial “data factory” that will be used to power the next generation of Voice AI systems - unlocking the creation of models that go beyond basic transcription and comprehension, capturing nuanced meanings in complex conversations, adapting robustly to diverse speech patterns, and generating empathic responses with human-like, contextualized speech. You will collaborate closely with our product, engineering, and data teams to build and deploy models in the most scalable voice API on the planet. We look forward to you bringing your expertise, sharing insights from your latest experiments, and collaborating with us to push the boundaries of AI and voice technology.\nThe Challenge\nWe are seeking Research Staff who:\nSee \"unsolved\" problems as opportunities to pioneer entirely new approaches\n\nCan identify the one critical experiment that will validate or kill an idea in days, not months\n\nHave the vision to scale successful proofs-of-concept 100x\n\nAre obsessed with using AI to automate and amplify your own impact\n\nIf you find yourself energized rather than daunted by these expectations-if you're already thinking about five ideas to try while reading this-you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.\nWhat You'll Do\nDrive high performance data acquisition, preparation and synthesis pipelines to generate data for the next generation of speech and language AI foundation models\n\nDevelop advanced characterizations of complex conversational audio utilizing a diverse toolkit of signals processing techniques and deep learning models\n\nCollaborate with DataOps and Engineering to create automated systems which scale the ability of human annotators to label high value data and provide critical feedback on model outputs\n\nBuild advanced benchmarking methodologies and curated datasets for evaluating conversational voice systems\n\nDocument and present results of data experiments and analysis for internal and external audiences\n\nYou’ll Love This Role If You\nAre obsessed with making sense out of complex and/or messy data\n\nEnjoy building from the ground up and love to create new systems from scratch\n\nAre passionate about AI and interested in leveraging data to solve hard problems\n\nAre motivated by the prospect of scaling yourself using automation and AI models\n\nIt's Important to Us That You Have\nExperience building data processing pipelines from a blank page and owning the entire data stack including data acquisition, characterization, cleaning, serving and transformation\n\nExperience and expertise applying statistical methods and deep learning models to understand complex data\n\nStrong communication skills and the ability to translate complex concepts in simple terms, depending on the target audience\n\nStrong software engineering skills with particular emphasis on developing clean, modular code in Python and working with Pytorch\n\nNice to Haves\nBackground in Physics, Mechanical Engineering or Language Processing\n\nExperience building models\n\nSpeech and audio experience\n\nNotice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @ deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to .","description_format":"text","description_chars":6504,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"San Francisco","iso":null,"kind":"city"},{"name":"Ann Arbor","iso":null,"kind":"city"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Natural Language Processing","Speech & Audio AI"],"lifecycle":[{"event":"open","at":"2026-10-16T15:43:59Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"green card filings: 1","filings_12m":0,"filings_prev_12m":1,"green_card_filings_12m":1,"median_offered_wage_usd":127500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":0.9,"age_days":54,"expected_fill_days":78,"reasons":["conf:1","velocity","win:mid"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":220000,"is_top_pay":true},"html_url":"https://alion.io/job/deepgram-research-staff-data-science","json_url":"https://alion.io/job/deepgram-research-staff-data-science.json","meta":{"generated_at":"2026-10-17T19:34:42Z","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":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2907,"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":2629},"rest":"https://alion.io/mcp/rest/get_company?id=2629"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdeepgram-research-staff-data-science"},{"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%2Fdeepgram-research-staff-data-science"},{"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%2Fdeepgram-research-staff-data-science"},{"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/deepgram-research-staff-data-science\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdeepgram-research-staff-data-science"}]}