About the company
Our client is an early-stage technology company.
The role
Raydar is recruiting for this role on behalf of our client. Take the senior technical leadership seat, owning machine learning engineering and the data platform that supports research work. The role starts hands-on with pipelines and modeling, then grows into hiring and leading an engineering group.
What you'll do
- Set technical direction for machine learning engineering and the underlying data systems.
- Build high-throughput, standardized pipelines that turn unstructured lab data from many sources into structured form.
- Compare model results with and without the additional data to show measurable performance gains.
- Run the full discovery pipeline to surface novel, commercially relevant results.
- Hire, onboard and lead engineers as the company grows.
- Develop backend infrastructure that lets other leaders focus on science and application work.
Requirements
What we're looking for
- Hands-on experience building, training and deploying machine learning models in the materials science domain.
- Proven ability to take a model from raw data through to validated, measurable improvement on your own.
- Strong data infrastructure and pipeline engineering skills, beyond pure research.
- Fluency with modern frontier models rather than older approaches.
- Leadership experience hiring and guiding engineers while still contributing directly.
- Later-career profile with real industry experience and strong academic or research-lab credentials.
- High-ownership, fast-moving builder comfortable in an early-stage startup.
- Supportive, collaborative team player with a good sense of humor and balance outside work.
- Roughly 4 to 10 years of experience.
Bonus points
- A strong professional network in the field to draw candidates from.
- Commercial creativity and curiosity beyond the purely technical domain.
Benefits
Compensation and benefits
- Base salary: USD 120,000 to 500,000 per year
- Equity
Location and work model
- New York, NY, United States
- On-site
- Full-time
Skills Required
- Hands-on experience building, training, and deploying machine learning models in materials science
- Ability to take models from raw data through validated, measurable improvement independently
- Strong data infrastructure and pipeline engineering skills beyond pure research
- Fluency with modern frontier models
- Leadership experience hiring and guiding engineers while contributing directly
- Later-career industry experience with strong academic or research-lab credentials
- Approximately 4 to 10 years of experience
- Professional network in the field
- Commercial creativity and curiosity beyond the technical domain
What We Do
Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.
