Senior Machine Learning Engineer

Skills and experience:

We're after exceptional candidates, who have real world experience but are eager to learn.

Essential:

• Demonstrated history working in a numerical field: e.g. computer vision, applied maths, physical sciences, geospatial analysis.
• Strong approach to systems thinking, whilst remaining pragmatic
• Commitment to software engineering principles for scientific python, a keen eye for clean code, and a passion for robustness and correctness.
• Working on shared codebases to produce production quality code.
• Data science is a team sport; communicate well, share knowledge, and be open to taking on ideas from anyone in the team.
• While extensive knowledge of theory and best practices are highly valued, pragmatism wins over elaborate theory when it comes to shipping products that work.

Highly Desirable:

• Working with large data sets, where data doesn’t fit into memory, and requires multiple nodes to compute efficiently.
• A scientific mindset of formulating hypotheses, and applying statistical tests to validate them.
• Working in a cloud-native environment using highly scalable compute.
• Experience with operationalizing numerical applications and workflows.

Requirements

Formal education in a field related to numerical science (Bachelor’s degree in computer science, engineering, statistics, physics, etc.). Applicants with a Masters/PhD will fit in well within the team, but are by no means necessary — we’re more interested in what you can do!