The role involves developing and improving TTS/Voice Generation models, training, fine-tuning, evaluating speech models, and collaborating across research, engineering, and product teams in a fast-paced startup environment.
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
Responsibilities
- 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
What we offer
- 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
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Lead technical direction and deliver large-scale ML platform infrastructure including feature store, model serving, experimentation, and training pipelines. Drive architecture, mentor engineers, coordinate cross-team initiatives, resolve system-wide issues (latency, reliability, GPU utilization), and define safe ML deployment paths from registration through rollout, monitoring, and rollback.
Top Skills:
DatabricksFlinkGpuJavaKafkaKotlinLlmsMlflowSagemakerSpark StreamingTecton
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead technical strategy and multi-year roadmap for search and vector infrastructure powering Atlassian AI. Drive cross-team initiatives for semantic search, agentic retrieval, and RAG; ensure scalable, cost-effective ML serving with strong reliability and FinOps discipline; mentor senior engineers and raise organizational engineering craft.
Top Skills:
Agentic RetrievalAi GatewayConfluenceDistributed SystemsEmbeddingsFinopsJIRAMl ServingProduction Ml ServingQuery Embedding CachingRetrieval-Augmented Generation (Rag)RovoSearch ServingSemantic SearchSlosVector DatabasesVector InfrastructureVector Search
Healthtech • Software
Lead technical vision and roadmap for a company-wide ML platform: define reference architectures, MLOps best practices, security, observability, and integrations; mentor engineers and drive cross-team platform initiatives.
Top Skills:
AWSAzureAzure Machine LearningDatabricksDockerGCPJavaKubeflowKubernetesMlflowModel-Serving FrameworksPythonRay
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute



