About the position
As a ML Engineer at Samaya, you will drive/lead core production ML initiatives. This year we are setup for rapid growth to several thousands of expert users that rely on Samaya daily. You will be critical in keeping our users at the cutting-edge of knowledge work. Instant QA: Our custom build Question Answer system using state of the art in house models, seamlessly trained to work together to enable instant expert intelligence. You will extend this system to stay at the forefront of the field and invest in building a platform to continuously improve our system with new data. Agents: You will enable expert-level agentic workflows to automate comprehensive knowledge work and enable AI tools that work with experts to gain new insights. In this role, you will be the bridge between research, engineering, and product, ensuring ideas see the light of day.
Responsibilities
- Design our ML inference/training systems to be scalable to thousands of users
- Define how we build, maintain, and automate ML model training, evaluation and inference pipelines at scale
- Productionize cutting-edge research prototypes for knowledge work at scale
- Take ambiguous business/product problems and develop evaluations/models/techniques to improve our core system to tackle those
Requirements
- Bachelors in Computer Science, Engineering or related qualification
- 3+ years experience in industry applied ML
- Proactive and eager to take ownership
- Fast iteration based on user engagement
Nice-to-haves
- Experience in LLM model training, inference and eval
- Experience in serving ML models (not necessarily LLMs) to a significant number of users
Benefits
- Comprehensive health insurance coverage (medical, dental, vision, and short-term disability) to support your health and wellbeing
- Support your long-term financial well-being with 401K (US) and enhanced Pension contributions (UK)
- Flexibility to rest and recharge with unlimited PTO
- Travel budget to provide opportunities for learning and collaboration by attending conferences, visitings other offices, and more
- Office equipment allowance to enhance the comfort of your workspace
- Hybrid work environment to promote balance and flexibility, with typically 3 (or more) days in the office per week
