Machine Learning Engineer
Samaya AIMountain View, California, United States$190k – $275kPosted 12 March 2026
Tech Stack
Job Description
Role
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.
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
Experience
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
Compensation
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.
Benefits
Health:
Access comprehensive health insurance, including medical, dental, vision, flexible spending account (FSA), and short-term disability.
Wealth : Support for your long-term financial wellbeing with a 401(k) and pre-tax benefits (e.g. commuting).
Rest : Enjoy flexibility to rest and recharge as needed, with unlimited PTO (Paid Time Off).
Flexibility:
Work flexibly with a hybrid setup - typically team members spend a minimum of three days in the office per week.
Travel:
Grow and connect with a travel budget that encourages conference attendance, customer visits, and team gatherings.
Equipment: Create your ideal workspace with an office Equipment allowance to set up what works best for you.
Inclusive Hiring
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.
About Samaya
Samaya builds Expert AI Agents that turn information from the global financial market into investment conviction. The global financial market is the largest and most valuable information ecosystem in the world, connecting billions of people, influencing every type of productive human activity, and driving tens of trillions of do ... (truncated, view full listing at source)
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