Lead design, training, fine-tuning, evaluation, and production deployment of TTS/voice-generation models. Translate research into reliable, low-latency production systems, define ML best practices, and collaborate across research, engineering, and product to drive execution.
Description
We are looking for a senior-level ML expert with deep experience in Speech AI, ideally focused on TTS / Voice Generation, to help build and scale production-grade speech systems.
This is a highly hands-on role for someone who combines strong research capabilities with real-world production experience and can operate effectively in a fast-moving startup environment.
Requirements- 5+ years of experience in Speech AI, preferably TTS / Voice Generation
- TTS has been a primary focus in recent years
- Hands-on experience training and fine-tuning TTS models
- Proven experience deploying ML models into real production environments
- Strong understanding of inference, latency, scaling, monitoring, and reliability
- Strong ML background overall (ML Scientist / ML Engineer trajectory)
- Strong coding and engineering skills
- Develop and improve TTS / Voice Generation models
- Train, fine-tune, and evaluate speech models
- Bring research ideas into production systems
- Work across research, engineering, and product
- Help define technical direction and ML best practices
- Drive execution in a fast-changing environment
- Collaborate closely with engineering, product, and business stakeholders
- Experienced team, Acclaim is formed by a team of enthusiastic professionals who have created award-winning devices, voice assistants, and other AI-driven products for BigTech corporations
- Cutting-edge technologies, we build technologies using our areas of expertise, including Computer Vision, Speech Technologies, Natural Language Understanding, Generative AI, etc. LLM and Diffusion models
- Rapid career progression, facilitated by our team of seasoned senior professionals who hail from prestigious, industry-leading companies
- Remote work opportunities from Europe / US
- The company has prominent clients with an opportunity for you to work on different projects and/or to be involved in developing our proprietary products
- A company with entrepreneurial spirit. We offer a secure workspace, thanks to the big clients we've raised, along with a true start-up culture.
Similar Jobs
AdTech • Digital Media • Marketing Tech
Lead a global research organization to define scientific vision and deliver large-scale ML/optimization systems for prediction, bidding, targeting, and marketplace efficiency. Translate research into production, recruit and mentor scientists, set technical standards, partner with product and engineering, and drive measurable revenue and platform improvements through experimentation and optimization.
Top Skills:
Advertising OptimizationAuction TheoryBidding SystemsCausal InferenceControl SystemsDemand-Side Platform (Dsp)Large-Scale ExperimentationMachine LearningMarketplace SystemsMulti-Objective OptimizationOperations ResearchPredictive ModelingReinforcement LearningStatistical ModelingTargeting Technologies
Digital Media • Information Technology • News + Entertainment
Lead a global research organization to define scientific vision and build large-scale ML and optimization systems for targeting, bidding, forecasting, and marketplace efficiency. Translate research (reinforcement learning, causal inference, auction design, operations research) into production, partner with Product and Engineering, recruit and mentor scientists, drive experimentation and measurable revenue/efficiency impact, and represent the company in publications and conferences.
Top Skills:
Auction TheoryBidding SystemsCausal InferenceControl TheoryDemand-Side Platforms (Dsps)Large-Scale ExperimentationMachine LearningMarketplace SystemsOperations ResearchOptimizationReinforcement Learning
.png)
Big Data • Cloud • Digital Media • Machine Learning • Mobile • Software • Industrial
Lead architecture and delivery of production-grade applied AI systems (LLMs, retrieval, agents). Solve cross-stack technical problems, define platform direction on AWS, optimize data and database design, improve quality/QA and observability, mentor a ~20-person team, and translate ambiguous product opportunities into measurable technical outcomes.
Top Skills:
Agentic/AgentsAPIsAWSBackend ServicesData PipelinesDevOpsGraph DatabasesLlmsMachine LearningObservabilityProduction OperationsPythonRelational DatabasesRetrieval (Rag)
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
