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Machine Learning Engineer
1 month ago
We are seeking a highly skilled Machine Learning Engineer to join our team at PhysicsX Ltd. As a key member of our product engineering team, you will be responsible for designing and developing Python libraries that solve complex problems in applying machine learning to design and engineering.
You will work closely with our simulation engineers, data scientists, and customers to develop an understanding of the physics and engineering challenges we are solving. Your expertise in machine learning and software development will be essential in shaping our product engineering areas, including software development standards, frameworks, testing, and release processes.
Key Responsibilities:
- Design and develop Python libraries that solve complex problems in applying machine learning to design and engineering
- Work closely with simulation engineers, data scientists, and customers to develop an understanding of the physics and engineering challenges
- Shape product engineering areas, including software development standards, frameworks, testing, and release processes
- Collaborate with product management to identify new opportunities for the product engineering team
Requirements:
- Enthusiasm about building machine learning products for science and engineering
- Degree in computer science, software engineering, or equivalent
- 2+ years' experience in a product engineering role, with exposure to implementing Python libraries using OOP principles, experience applying DL or NN model architectures to geometric data, and extensive experience with numerical and DL libraries
- Excellent collaboration and communication skills
We offer a competitive compensation and equity package, generous vacation and parental leave, complimentary office food, and fun outings and events. You will have the opportunity to work in a flexible setting, with your choice of either our lovely London Shoreditch or Bicester Heritage offices to collaborate in, and a good proportion from home if so desired.
We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation, or gender identity. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.