Machine Learning Engineer designing and training lightweight ASR models for mobile devices at Plaud. Contributing to optimization, multilingual data management, and deployment collaboration.
About the role
- ML Engineering Lead at Saris AI tackling multi-modal AI systems in banking. Drive technical direction and build high-performing teams in an early-stage startup environment.
Responsibilities
- Own and lead the ML/AI function end-to-end, setting technical direction and standards across the company
- Architect and guide the development of multi-modal, agentic AI systems powering real-world workflows
- Define and oversee evaluation frameworks, datasets, and performance metrics to continuously improve agent quality
- Drive productionization of ML systems, ensuring reliability, scalability, and compliance in real-world environments
- Build and mentor a high-performing ML team over time, setting best practices across modeling, experimentation, and deployment
Requirements
- 8+ years of experience in ML/AI engineering, including time as a technical lead or manager
- Proven track record of leading ML initiatives end-to-end, from problem definition → production deployment
- Deep experience with LLMs and/or agentic systems, ideally in real-world, customer-facing applications
- Strong understanding of ML fundamentals (deep learning, transformers, model evaluation, tradeoffs)
- Experience scaling ML systems in production, including monitoring, iteration, and reliability
- Demonstrated ability to lead engineers, influence architecture decisions, and drive technical direction
- Comfortable operating in early-stage, ambiguous environments with high ownership
- Strong communication skills with the ability to translate complex ML concepts into clear decisions
Benefits
- Competitive compensation with premium benefits and equity package
Job title
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