Senior ML Engineer — On‑Site AI for Engineering Delivery

PhysicsX; New York (NY); Hybrid; USD 120,000 - 240,000; Full time

Benefits offered by this job

Equity options

401(k) match

Flexible working

Hybrid setup

Enhanced parental leave

Private healthcare

Personal development

Work from anywhere

Job summary

A leading deep-tech company in New York is seeking a Senior Machine Learning Engineer to drive AI deployment in engineering. You'll design and implement ML systems, mentor others, and work directly with customers to optimize solutions. The role requires at least 3 years of experience and offers a salary range of $120,000 to $240,000. Enjoy benefits like equity options, a 401(k) match, and the flexibility of hybrid work. Candidates from underrepresented groups are encouraged to apply.

Qualifications

• At least 3 years industry experience in a commercial environment.
• Experience in end-to-end ML system deployment.
• Strong ability to lead technical initiatives and influence decisions.

Responsibilities

• Own the deployment of ML models in production environments.
• Build robust and scalable ML systems and APIs.
• Lead project scoping and architecture design with customers.
• Mentor and develop engineers and data scientists.
• Travel to customer sites for collaboration.

Skills

Machine Learning system deployment

Data pipeline design and implementation

3D point-cloud and mesh data manipulation

Technical mentoring

Communication with stakeholders

Education

Master's or PhD in relevant fields

Tools

Python

PyTorch

Pandas

fastAPI

Kubeflow

Job description

A leading deep-tech company in New York is seeking a Senior Machine Learning Engineer to drive AI deployment in engineering. You'll design and implement ML systems, mentor others, and work directly with customers to optimize solutions. The role requires at least 3 years of experience and offers a salary range of $120,000 to $240,000. Enjoy benefits like equity options, a 401(k) match, and the flexibility of hybrid work. Candidates from underrepresented groups are encouraged to apply.