PhysicsX

PhysicsX is an AI technology company accelerating industrial innovation by solving complex physics and engineering problems for leading global manufacturers. Wi

Machine Learning Engineer

Location

United States

Posted

7 days ago

Salary

$150K - $190K / year

Seniority

Mid Level

Job Description

Machine Learning Engineer

PhysicsX

Role Description As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used. You’ve shipped ML systems end-to-end and at scale: - Design, build and test reliable, scalable ML data pipelines. - Explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling. - Select the right libraries, frameworks, and tools. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling, and products. With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research environment, you're excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful, and meet the evolving needs of our customers. This role is remote based in the San Francisco area. What you will do - 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, making 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 reusable libraries, tooling, and products. - Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption. - Travel to customer sites in North America, Europe, Asia, and Oceania for an average of 3-4 weeks per quarter to collaborate closely with customers to build solutions on-site. Qualifications - 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). - Experience with distributed computing frameworks (e.g., Spark, Dask). - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and HPC computing. - Experience with containerization and orchestration (Docker, Kubernetes). - Strong problem-solving skills and the ability to analyze 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 - Build what actually matters - help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. - Learn alongside exceptional people - work with a high-caliber, collaborative team of engineers, scientists, and operators. - Influence over hierarchy - operate with a flat structure where good ideas win. - Equity options - share meaningfully in the company you’re helping to build. - 5% contribution to 401(k) - build long-term security with a strong retirement plan. - Private health insurance - comprehensive cover for you, offering total peace of mind. - Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave. - 20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. - Personal development - dedicated support for learning, development, and leveling up over time. - Gympass / Wellhub (subsidized) - for you and up to 3 family members, supporting both physical and mental wellbeing. - Flexible Spending Account (FSA) - set aside pre-tax dollars for eligible healthcare expenses. Salary range $150,000 - $190,000 depending on experience. Seniority will be assessed throughout our interview process. Company Description We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.

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