Machine Learning Engineer

Location: San Francisco (in office 3 days/wk)

Why Seam

At Seam, we are building autonomous AI agents that solve problems no one has tackled before, reshaping the future of sales and marketing.

Exceptional product: Strong customers from leading companies.

Massive demand: Revenue teams desperately need to increase efficiency.

World-class team & Investors: Engineering leaders from Okta. Backed by Bessemer Ventures.

Join at the ground floor of a seed startup poised to disrupt a massive industry.

Build world’s pioneering and best AI sales agents. You will design, develop, and refine agents that tackle previously unsolvable problems.

Dealing with sensitive data: revenue data from the largest companies in the world.

Working past the edge of published AI research: tackling problems far beyond the complexity of existing AI benchmarks.

Unsolved product, architectural, and business problems: natural language interfaces, prohibitively expensive evaluation of models, massive marginal costs, versioning / training / segregating models per task.

Role

You will develop and improve our AI systems, including:

Developing and implementing novel search.

Developing and evaluating large systems of interconnected LLMs.

Dealing with hard engineering constraints like latency and expensive model inference.

Implementing researching papers.

Impact

Work directly with our founders.

Tackle unsolved engineering problems, including the hardest in the world relevant to Agents in production.

Help build our applied AI organization.

Qualifications

Evidence of exceptional ML engineering ability.

Fine-tuning large language models.

Experience working in product driven ML domains (self-driving cars, search, ads, quant finance).

Experience with SaaS is not required.

Experience

3-5+ years experience in ML engineering.

Interested in applying?

Please reach out to Nick at and we'll get back to you ASAP.