Who you are

• 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
• Experience in LLM model training, inference and eval
• Experience in serving ML models (not necessarily LLMs) to a significant number of users

What the job involves

• As an ML Engineer at Samaya, you will drive core production machine learning initiatives. This year we are set up for rapid growth to tens of thousands of expert users who rely on Samaya daily. You will play a critical role in keeping our users at the cutting edge of knowledge work
• Instant QA: Our custom-built Question Answer system uses state-of-the-art in-house models and retrieval systems, seamlessly trained to work together to deliver instant expert intelligence. You will help extend this system to remain at the forefront of the field and invest in building a platform that continuously improves with new data
• Agents: You will develop 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 act as a bridge between research, engineering, and product - ensuring ideas see the light of day
• 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

Benefits

• Health: Comprehensive health insurance, including medical, dental, vision and short-term disability
• Wealth: Support for your long-term financial wellbeing, with 401k (US) and enhanced pension (UK)
• Rest: The ability to rest and recharge as needed, with unlimited PTO
• Flexibility: A hybrid work environment (typically, team members spend a minimum of two days in the officer per week)
• Travel: Travel to other locations is encourage to foster team cohesion and maintain Samaya's unique culture
• Equipment: Equipment allowance to create your ideal work setup