Machine Learning Software Engineer at PhysicsX

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Aerospace, Renewables, Space, Energy, Medical Devices, Additive ManufacturingIndustries

Requirements

A passion for the craft of software engineering and building robust, maintainable systems in a collaborative, cross-functional team
Solid software engineering skills, with a focus on writing clean, testable, and maintainable code
Strong problem-solving skills, with the ability to diagnose complex issues in a high-uncertainty R&D environment
A commitment to owning the software development lifecycle, including testing, containerization, and CI/CD
A deep understanding of machine learning fundamentals (e.g., model architectures, optimizers, statistical principles) and the data science lifecycle
Strong proficiency in Python's scientific computing and Machine Learning ecosystem (e.g., PyTorch, NumPy, SciPy, Pandas)
An understanding of how high-level Machine Learning frameworks interact with low-level hardware (e.g., C++/CUDA on GPUs)
A proactive ownership mindset and the ability to navigate ambiguity
Excellent collaboration and communication skills, with an ability to discuss complex technical concepts with both researchers and product teams
Ideally, professional experience with C++ and/or GPGPU programming (e.g., CUDA, Triton) for performance optimization

Responsibilities

Collaborate with product managers and library users to translate functional requirements into robust technical specifications and production-ready code
Work closely with research scientists to productionize novel models and algorithms, integrating them into core libraries
Contribute high-quality, tested, documented, and maintainable code across the library stack, ensuring core systems are reliable and easy for other engineers to build upon
Champion software engineering excellence across the team and company, driving best practices in testing (unit, integration, performance), CI/CD, and system architecture
Own your work end-to-end, from ideation and experimentation through to deployment and maintenance in a small, agile team environment
Continuously explore and evaluate new techniques and frameworks, helping to guide the technical evolution of the platform
Share your knowledge with the team, contribute to the engineering guild, and stay connected with the broader community

Skills

Python

Machine Learning

Deep Learning

Data Processing

Optimization Algorithms

Software Engineering

PhysicsX

AI-driven simulation for advanced industries

About PhysicsX

PhysicsX enhances the design and operation of machines in advanced industries using artificial intelligence and simulation technologies, focusing on sectors like renewable energy, healthcare, and transportation. Their AI-driven simulations help clients, including medical device manufacturers and aerospace companies, improve efficiency and reduce emissions. The company operates on a project-based and long-term contract model, providing specialized services that lead to significant performance improvements. With a leadership team experienced in machine learning and engineering, PhysicsX aims to achieve engineering breakthroughs that positively impact society.

London, United KingdomHeadquarters

N/AYear Founded

$31.1MTotal Funding

SERIES_ACompany Stage

Energy, AI & Machine Learning, Aerospace, HealthcareIndustries

11-50Employees