Join Sourcegraph as a Senior Machine Learning Engineer
Sourcegraph is on a mission to make coding accessible to everyone, not just the elite few. We are building a cutting-edge code intelligence platform that powers the world's best code search and the most popular open-source code AI tool. As a Senior Machine Learning Engineer, you will be at the forefront of this revolution, helping to automate 99% of the toil in software engineering with our code understanding and AI tools.
About the Role
We are seeking an experienced full-stack ML engineer to join our newly formed machine learning team. This team is dedicated to creating the most powerful coding assistant in the world. You will leverage Sourcegraph’s rich code intelligence data and powerful code search platform to develop and deploy large-scale ML models in industrial settings.
Key Responsibilities
- Conduct R&D to push the boundaries of AI as an individual contributor on our ML team.
- Utilize Sourcegraph’s Code Intelligence Platform to develop a coding assistant that significantly enhances developer productivity.
- Within the first month, build relationships with peers, set up local development environments, and prototype new features.
- Within three months, contribute to feature computation, storage, monitoring, and analysis systems for our Cody LLM stack.
- Within six months, own key components of the assistant, design and build scalable ML systems, and drive the technical vision.
About You
- You have 5-8 years of industry experience as a backend-focused ML engineer.
- You have experience in formulating ML solutions, developing data orchestration pipelines, and deploying ML models to production.
- You are passionate about leveraging Sourcegraph’s code intelligence to leapfrog competitors.
- Your working hours overlap with 8am-4pm PT for at least 20 hours per week.
Why Sourcegraph?
- Remote Work: We are an all-remote company, allowing you to work from anywhere in the world.
- Competitive Compensation: We offer an above-average salary and equity to ensure you are focused on helping Sourcegraph succeed.
- Innovative Environment: Be part of a team that is making ambitious bets on the future of software engineering.
Interview Process
Our interview process is designed to be thorough yet efficient, taking approximately 5.5 hours in total. It includes stages such as a recruiter screen, technical deep dive, team interviews, and a final interview with leadership.
Apply Now
If you are an experienced ML engineer looking to make a significant impact in the world of software development, we encourage you to apply. Join us in building the future of code intelligence at Sourcegraph.
Benefits Extracted with AI
- Competitive salary
- Equity
- Remote work
- Flexible hours
- Health insurance
- Paid time off
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