The Role
Senior Machine Learning Engineers will develop ML products and lead projects end-to-end—from initial concept through final launch—across S32 portfolio companies. Candidates should drive product direction, have strong ML engineering and productization experience, and make significant business impact.
Summary Generated by Built In
To further our commitment to driving the growth of S32's portfolio companies, we are looking for Senior Machine Learning Engineers who are enthusiastic about developing products and taking charge of projects from initial concept to final launch.
If you are excited about making a significant impact, shaping a company's direction, and advancing your career, we would love to connect and discuss potential opportunities.
About us: S32 is a venture capital firm investing at the frontiers of technology. Founded by Bill Maris, the team has vast experience building iconic companies. Our goal is to accelerate the discovery, development, and distribution of revolutionary technologies that improve the human condition. We invest across the entirety of technology. This includes artificial intelligence, enterprise software, cybersecurity, fintech, quantum computing, computational biology, and biotechnology.
The base pay range for this role is $170,000 – $280,000 per year.
Skills Required
- Senior-level experience in machine learning engineering
- Experience developing products and leading projects from concept to launch
- Willingness to shape company direction and make significant impact
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
S32 is a venture capital firm investing at the frontiers of technology, founded by Bill Maris. The firm focuses on accelerating the discovery, development, and distribution of revolutionary technologies that improve the human condition. They invest across various technological fields, including artificial intelligence, enterprise software, cybersecurity, fintech, quantum computing, computational biology, and biotechnology.

.jpeg)







