Sourcegraph is hiring a
ML Engineer

Summary

The job is for a Full-Stack Machine Learning Engineer at Sourcegraph, an all-remote company building a code intelligence platform. The role involves creating a coding assistant, improving existing AI and ML systems, and working on the entire ML lifecycle. Preferred locations are hybrid in San Francisco, but applicants from other locations are welcome if they can overlap working hours with PST for at least 20 hours per week.

Requirements

• You are an experienced full-stack ML engineer with demonstrated industry experience in formulating ML solutions
• You have 5-8 years of industry experience
• You are a backend focused ML engineer who has worked on the entire ML lifecycle
• You have deployed ML models to production to users and have developed feature pipelines
• You understand the nuances of ML for users to move metrics forward

Responsibilities

• Start building a trusting relationship with peers and learning the company structure
• Be set up to do local development, and be actively prototyping
• Dive deep into how AI and ML is already used at Sourcegraph and identify ways to improve moving forward
• Develop simulated datasets using Gym style frameworks across a number of Cody use cases
• Experiment with changes to Cody prompts, context sources and evaluate the changes with offline experimentation datasets
• Ship a substantial new feature to end users within one month
• Building out feature computation, storage, monitoring, analysis and serving systems for features required across our Cody LLM stack within three months
• Developing distributed training & experiment infrastructure over Code AI datasets, and scaling distributed backend services to reliably support high-QPS low latency use cases within three months

Preferred Qualifications

Your working hours overlap with 8am-4pm PT for at least 20 hours per week so we have time to collaborate synchronously when necessary

Benefits

• We pay you an above-average salary
• We offer equity and generous perks & benefits