Machine Learning Engineer

The role

We're a San Francisco & Montreal based applied AI startup that's building the future of work in the banking industry. We are tackling a $100 billion/yr problem, doubling every quarter and pushing the boundaries of what’s possible with multi-turn AI agentic systems.

Our goal is to tackle the type of automation problems that require long-context reasoning, tool orchestration across legacy systems, and strict compliance loops: the ones without known answers.

We’ve shipped real agents that handle real customer workflows in production. With a growing customer base and live deployments, we’re scaling up fast and looking for deeply technical builders who want to have outsized impact early.

Our Engineering team is looking for a founding ML Engineer to take ownership of our entire ML stack and enable custom agents to come to life.

Your mission is to

• Develop the core ML/AI work at Saris, building custom, multi-modal workflow agents end-to-end
• Work closely with other engineers on the team to operationalize the core AI agents for production usage
• Build datasets, define metrics, and track the performance of our AI agents
• Define core evaluation pipelines to refine our AI agents
• Build reusable systems and tools that enable contributions from across the company and steadily raise the quality bar
• Work closely with the founders to help develop the ML/AI vision of the company, and to help drive that roadmap forward

Looking back, you have

• At least 5 years of ML/AI engineering experience, working as a senior/lead member of the team
• Extensive experience building, training, and deploying custom ML/AI models that solve complex problems for customers
• Experience building, training, and deploying LLM models that solve complex problems for customers (ideally conversational AI agents)
• Extensive knowledge on the inner workings of foundational ML/AI technologies, including deep learning and transformers
• Experience working collaboratively with other engineers, through code reviews and working sessions
• Experience working in small teams, moving fast without too much processes/overheads
• A deep passion for the ML/AI space, and be continually on the lookout for new techniques or architectures

Bonus Points If You

• Proficient in data processing, including cleaning and preparing data for training
• Proficient in working with various databases, including SQL and data warehouses
• Experienced with creating API services that expose ML/AI functionalities to other teams/customers
• Experienced with building useful technologies based on LLMs, with both closed and open models
• Experienced in helping the team grow, both in people/processes and in maturity of the technology
• A great communicator, able to articulate your ideas clearly and succinctly, in both verbal and written form

Why Join Saris AI?

• Join us in building the future of work for the trillion-dollar banking industry using cutting edge AI technology.
• Tackle ambiguous technical challenges with no clear answers.
• Competitive compensation with premium benefits and equity package.
• Work with a stellar team of engineers, builders, and leaders; including repeat YC founders with a successful exit (Ready Education).
• We already have production agents live with revenue-generating customers
• Our team is backed by Tier 1 Silicone Valley VCs