Machine Learning Software Engineer, Libraries
PhysicsX Ltd - New York, New York, us, 10261
Work at PhysicsX Ltd
Overview
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Overview
Collaborate with product managers and library users to translate functional requirements into robust technical specifications and production-ready code. Work closely with our research scientists to productionize novel models and algorithms, integrating them into our core libraries. Contribute high-quality, tested, documented, and maintainable code across the library stack, ensuring our 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 our platform. Share your knowledge with the team, contribute to our engineering guild, and stay connected with the broader community. What you bring to the table
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. Experience building and maintaining widely-used internal or open-source libraries. Experience applying machine learning to scientific domains, particularly with 3D geometric or simulation data. Familiarity with model packaging and serialization techniques (e.g., ONNX, TorchScript). What we offer
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 lifes 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. $120,000 - $240,000 a year
Our stance
We believe diversity fuels innovation, and we're building a culture where everyone belongs. We're proud to be an equal opportunity employer, welcoming talent of all backgrounds, identities, and experiences. Changing the face of tech takes action, which is why we actively encourage individuals from historically underrepresented groups to apply. #J-18808-Ljbffr