Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Building and deploying AI-driven simulation software for high-fidelity multi-physics engineering across advanced industries with an accent on 3D point-cloud and mesh data processing. Focus on designing scalable ML data pipelines, translating R&D into reusable tooling, and embedding cutting-edge models into practical customer-facing products.

Location: New York, United States (Hybrid). Must be a US citizen

Salary: $150,000 - $190,000

Company

Deep-tech company accelerating hardware innovation through an AI-driven simulation software stack for advanced industries including Aerospace, Defense, and Automotive.

What you will do

• Design, build, and test reliable and scalable data pipelines for machine learning.
• Manipulate and explore 3D point cloud and mesh data to enable geometry-aware modeling.
• Translate R&D results and project outputs into reusable libraries, tooling, and software products.
• Collaborate with simulation engineers and customers to define and solve complex physics and engineering challenges.
• Establish and improve engineering best practices and standards within the delivery team.
• Manage the deployment of technical workstreams and create analytics environments in cloud or on-premise setups.

Requirements

• US citizenship is mandatory due to the nature of aerospace and defense work.
• 2+ years of industry experience (post Masters or PhD) in a commercial environment.
• Proficiency in Python and common ML frameworks such as TensorFlow and MLFlow.
• Experience with distributed computing frameworks like Spark or Dask.
• Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Background in Physics, Engineering, or an equivalent technical field.

Culture & Benefits

• Hybrid work model combining New York office time with work-from-home flexibility.
• Equity options to share in the company's growth.
• 401(k) retirement plan with a 5% company contribution.
• Comprehensive private health insurance and a Flexible Spending Account (FSA).
• Enhanced parental leave: 3 months full pay for paternity and 6 months for maternity.
• 20 days of annual leave plus public holidays.
• Subsidized Gympass/Wellhub membership for employees and family.