Lead development and productionization of TTS and voice-generation systems: train, fine-tune, evaluate models, deploy and optimize for inference, latency, scaling, monitoring, and reliability; translate research into production and define technical direction while collaborating with research, engineering, and product.
Description
We are looking for a senior-level ML expert with deep experience in Speech AI, ideally focused on / 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 text-to-speech
- Hands-on experience training and fine-tuning 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 / 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
Artificial Intelligence
Design, build, and operate ML platform systems to train, evaluate, deploy, and serve generative models. Improve reliability, scalability, observability, and cost-efficiency of GPU and cloud workloads. Build internal tools and agent-friendly workflows, collaborate with researchers and engineers, and drive platform architecture and automation.
Top Skills:
Cloud InfrastructureDatadogGithub ActionsGpusKubernetesLinuxPythonTemporalTerraform
Enterprise Web • Hardware • Internet of Things • Software
The International Marketing Lead will drive marketing strategies across EMEA and APAC, focusing on demand generation and team leadership while collaborating with sales to boost pipeline growth.
Top Skills:
MarketoSalesforce
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead change management for the S4/o9 transformation across MEU Demand Planning. Partner with senior leaders to design change strategies, assess impacts, deliver training (TNA, curriculum, localization, train-the-trainer), build change capability, manage stakeholder engagement, and track KPIs to drive adoption and measure effectiveness.
Top Skills:
Integrated Business Planning (Ibp)O9 PlanningSap S/4Hana
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal


