PhysicsX · 6 hours ago
Machine Learning Engineer
Manhattan, NY
Full-time
Hybrid
Entry, Mid Level
$120K/yr - $240K/yr
2+ years expPhysicsX is a deep-tech company focused on accelerating hardware innovation through AI-driven simulation software. The Machine Learning Engineer will work closely with simulation engineers and data scientists to develop data pipelines and translate research results into reusable libraries and products.
AI InfrastructureArtificial Intelligence (AI)Information TechnologyMachine LearningSemiconductorSimulationSoftware
Responsibilities
Work closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving
Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable
Explore and manipulate 3D point cloud & mesh data
Own the delivery of technical workstreams
Create analytics environments and resources in the cloud or on premise, spanning data engineering and science
Identify the best libraries, frameworks and tools for a given task, make product design decisions to set us up for success
Work at the intersection of data science and software engineering to translate the results of our R&D and projects into re-usable libraries, tooling and products
Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption
Qualification
Required
Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings
Experience in ML/Computational Statistics/Modelling use-cases in industrial settings (for example supply chain optimisation or manufacturing processes) is encouraged
A track record of scoping and delivering projects in a customer facing role
2+ years' experience in a data-driven role, with exposure to software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps)
Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow)
Distributed computing frameworks (e.g., Spark, Dask)
Cloud platforms (e.g., AWS, Azure, GCP) and HP computing
Containerization and orchestration (Docker, Kubernetes)
Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly
Excellent collaboration and communication skills - with teams and customers alike
A background in Physics, Engineering, or equivalent
Benefits
Equity options – share in our success and growth.
5% 401(k) match – invest in your future.
Flexible working – balance your work and life in a way that works for you.
Hybrid setup – enjoy our Manhattan office while keeping remote flexibility.
Enhanced parental leave – support for life’s biggest milestones.
Private healthcare – comprehensive coverage for you and your family.
Personal development – access learning and training to help you grow.
Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.
Company
PhysicsX
PhysicsX offers an AI-native simulation software stack for engineering and manufacturing across advanced industries.
51-200 employees
H1B Sponsorship
PhysicsX has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Growth StageTotal Funding
$187MKey Investors
NVenturesAtomicoGeneral Catalyst
2025-11-19Series B· $20M
2025-06-22Series B· $135M
2023-11-27Series A· $32M
Leadership Team
Jacomo Corbo
CEO & Co-Founder
Recent News
Tech Funding News
2025-11-08
Company data provided by crunchbase