ML Engineer - Customer-Facing Delivery & AI Pipelines

PhysicsX Ltd; New York (NY); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equity options

5% contribution to 401(k)

Free team lunch 1x/week

Private health insurance

Enhanced parental leave

20 days of Annual Leave (+ Public Holidays)

Personal development support

Gympass / Wellhub

Flexible Spending Account (FSA)

Job summary

PhysicsX Ltd is looking for a Machine Learning Engineer in New York, NY. This role involves close collaboration with Data Scientists and Simulation Engineers to develop AI-driven solutions in engineering. Candidates should have over 2 years of relevant experience and a background in Physics or Engineering. The position offers a hybrid work model, competitive salary between $150,000 - $190,000, and excellent benefits including equity options, 401(k), private health coverage, and generous parental leave.

Qualifications

• 2+ years of experience in a data-driven role.
• Experience with end-to-end ML systems.
• Ability to explore and manipulate 3D point clouds.

Responsibilities

• Work closely with customers to understand physics challenges.
• Design and build reliable ML data pipelines.
• Continuously apply and improve engineering best practices.

Skills

Machine learning methods

Problem-solving

Data engineering

Collaboration

Communication skills

Education

Background in Physics, Engineering, or equivalent

Masters or PhD

Tools

Python

TensorFlow

Spark

AWS

Docker

Job description

PhysicsX Ltd is looking for a Machine Learning Engineer in New York, NY. This role involves close collaboration with Data Scientists and Simulation Engineers to develop AI-driven solutions in engineering. Candidates should have over 2 years of relevant experience and a background in Physics or Engineering. The position offers a hybrid work model, competitive salary between $150,000 - $190,000, and excellent benefits including equity options, 401(k), private health coverage, and generous parental leave.