Engineering Fellowship

Onsite Washington D.C.

pythonnodesqldockerkubernetesgojavakotlin software engineering

greenhouse

Match & cover letter

Create a profile to see your match and get a cover letter for this role.

Create profile and match

Job description

You will support research projects by applying your technical skills in a hands-on role. This position offers opportunities to work on real-world applications in a collaborative environment.

Details

Washington D.C., work from office
$30 per hour for undergraduate students, $35 for graduate students, $50 for advanced PhD students, $60 for postdocs, $125 for tenure-track academics
Strong Python background required
Flexible schedule, up to 20 hours per week

The work

Collaborate with engineers on client-facing products and in-house tooling
Assist with researching experiment design and automation for AI systems
Implement cloud infrastructure for deploying machine learning models
Train, validate, and deploy machine learning algorithms