Data Scientist

PhysicsX • San Francisco, CA

10d • Hybrid

About The Position

PhysicsX is a deep-tech company focused on accelerating hardware innovation through AI-driven simulation software. We are building a stack for engineering and manufacturing across advanced industries, enabling high-fidelity, multi-physics simulation via AI inference. This empowers engineers with optimization and automation in design, manufacturing, and operations, serving clients in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

Requirements

• Strong foundations in data driven modelling and deep learning techniques.
• Hands-on experience in probabilistic methods and predictive modelling.
• Expertise in Python.
• Proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch.
• Ability to deploy scalable, production-ready models and data pipelines.
• At least 1 year industry experience (post Masters or PhD) in a commercial, non-research environment.

Nice To Haves

• Grasp advanced engineering concepts across multiple industries.
• Excel at working directly with customers (and often side-by-side with them on-site) to transform cutting edge AI models into tools that are useful and used.
• Excited about growing technical expertise.
• Naturally inclined to take ownership of data science work streams, continuously improving systems and solutions.
• Driven by taking ownership of more complex projects and leading the direction of future solutions.

Responsibilities

• Pre-processing and analyzing data to prepare it for use in predictive modelling, building the foundation for machine learning algorithms to be developed.
• Developing and utilizing innovative deep learning models in combination with state-of-the-art optimization methods to predict and control the behaviour of physical systems.
• Taking full responsibility for the quality, accuracy and impact of your work.
• Designing, building and testing data pipelines that are reliable, scalable and easily deployable in production environments.
• Working closely with simulation engineers to ensure seamless integration of data science models with simulations.
• Contributing to internal R&D and product development, helping to refine models and identify new areas of application.
• Engaging in open communication and presentation with both technical teams and customers, helping onboard users and co-develop with customers.

Benefits

• Equity options
• 5% contribution to 401(k)
• Free team lunch 1x/week
• Private health insurance
• Enhanced parental leave (3 months full pay paternity and 6 months full pay maternity leave)
• 20 days of Annual Leave (+ Public Holidays)
• Personal development support
• Gympass / Wellhub (subsidized)
• Flexible Spending Account (FSA)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior