Machine Learning Engineer

What you'll do

• Design, assess, and deploy neural models and learned representations; monitor and refine them in live use.
• Own data workflows and improve tools for experiments, result tracking, and reproducibility.
• Collaborate across functions to turn product needs into released machine learning features; write and review Python code.

What they ask for

• Around 4 or more years as an industry machine learning engineer, or comparable research experience.
• Graduate degree in a quantitative field such as computer science, with a solid grounding in machine learning.
• Track record designing neural networks from the ground up and devising original modeling approaches.
• Working knowledge of PyTorch or a similar deep learning library; hands-on experience with large language models and transformer architectures; production machine learning experience.

Nice to have

• Exposure to graph-based neural architectures.
• Familiarity with world models; scientific or physical-world work; managed ML or cloud services; Python web framework and SQL; or CAD/geometry computing.

Pay

USD 175,000 to 250,000 per year (base salary)

Tools

Python, PyTorch, large language models, transformer architectures, SQL

AI focus

Build original neural models and learned representations, including work with large language models and transformers, and deploy them in a software product.