Customer-Facing ML Engineer — Physics Solutions

Zenithon AI, Inc.; San Francisco (CA); On-site; USD 160,000 - 230,000; Full time

Job summary

Zenithon AI, Inc. in San Francisco seeks a role that collaborates closely with customers and our research team to translate complex physics problems into deployable machine learning solutions.

You will own projects from problem understanding and model training to deployment and ongoing iteration with users. The ideal candidate has strong physics fundamentals, hands-on ML experience, exceptional learning speed, a bias for execution, and responsiveness to feedback.

Qualifications

• Strong foundations in physics and the ability to reason about physical systems and simulation assumptions.
• Hands-on experience building and training ML models and evaluating their performance.

Responsibilities

• You’ll work directly with customers and our research team to turn difficult physics problems into working solutions.
• You’ll own projects from understanding the problem and training models through to deployment and iteration with users.

Skills

Strong physics fundamentals

Hands-on ML experience

Exceptional learning speed

Bias for execution

Responsiveness to feedback

Job description

Zenithon AI, Inc. in San Francisco seeks a role that collaborates closely with customers and our research team to translate complex physics problems into deployable machine learning solutions.

You will own projects from problem understanding and model training to deployment and ongoing iteration with users. The ideal candidate has strong physics fundamentals, hands-on ML experience, exceptional learning speed, a bias for execution, and responsiveness to feedback.