Role

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

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 $170,000 - $270,000.

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

• 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

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 is building the first Human-AI Knowledge Network – an information ecosystem to transform expert knowledge work.

Expert knowledge work drives trillions of dollars of economic activity. Teams of human experts painstakingly synthesize insights and drive decisions from vast volumes of noisy, real-time information. For examples, in financial services, expert analysts hone in on and use key economic insights to inform high-stake investment decisions. Although the volume of information only continues to grow, past technology has only had a passive role, and today's human experts struggle with information overload. We believe AI should take an active role in complex knowledge work, becoming an equal collaborator to human experts.

But such an AI will not "simply emerge" through scaling, or the development of general purpose LLMs. At Samaya, we are developing an AI-system purpose-built for "expert intelligence" -- for reasoning and interacting with real-world information networks. Our AI is designed to consume dense, noisy real-time information, distill key insights, form connections, contextualize findings, and make expert predictions. We are building a future where our expert intelligence AI can transform global knowledge work for the better.

Our Operating Principles

• Put Users first. Our users rely on us to do their jobs. We exist because our users trust us to help them achieve their goals. In return for this trust users place in us, we keep their needs as our top priority.
• Win as a collective. We are high achievers with a drive to succeed. We build strong bonds over this shared drive. We dive in to help when one of us needs it. We’re kind to each other and boost each other to succeed and grow professionally and personally. We build trust with each other by making commitments and consistently delivering on them. This trust means we genuinely support each other, embracing feedback as a tool for growth and improvement. We win by operating this way, as one team.
• Focus and iterate quickly. Bias for action makes us build and learn quickly. Iterating fast requires clarity on what outcomes we are targeting and why. Prioritizing the important things, taking full ownership and initiative, making fast initial progress, and rapid iterations lead to the best outcomes.
• Innovate Relentlessly. We pursue novel insights, challenging the status quo and reimagining how things are done. We aren’t attached to the past when improving our product and how we work in the future. We actively invest time in innovation, thinking “outside the box” to consistently raise our standards.
• Prioritize Outcomes over Egos. We are committed not to a person, an idea, or an opinion but to continuously making progress to our goals. Sometimes, our goals are ambiguous; in those moments, we iterate, learn, and move on to the next inquiry. We ask the tough questions with kindness, dropping our egos in our pursuit of evidence. For our business goals, we learn from our users. For our scientific goals, our understanding is built through rigorous experimentation, research, and observation. For our personal goals, we embrace candid feedback and collaborative learning to guide our progress.