Machine Learning Engineer

Mountain View, California, United States

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

Required

• 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

Preferred

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

The cash compensation range for this role is $190,000 - $275,000.

Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.

In addition to the base salary, we may consider equity as part of our total compensation package.

• 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

Interview Accommodations: We are committed to ensuring an equitable selection process for everyone and welcome applicants from varied backgrounds to enrich our team. If you require accommodations or adjustments during our recruitment process, please inform us.

Equal Opportunity

Employer:

We do not discriminate on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non‑merit factor.

Visa Sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Samaya is building the first AI agents designed specifically for expert knowledge work in financial services - one of the world’s largest and most information‑intensive industries.

In today’s financial world, professionals face overwhelming volumes of fast‑moving, complex information. Traditional tools, and even general‑purpose AI, lack the accuracy, depth, and reliability needed for critical decisions. We believe AI should go beyond helpful suggestions, it should act as a true expert collaborator.

Our mission is to supercharge financial research and decision‑making by empowering professionals to build their own teams of expert AI agents. These agents…