đ While we are an all-remote company and hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with PST for at least 20 hours/week.
Preferred locations:
We recently created a machine learning team at Sourcegraph, aimed at creating the most powerful coding assistant in the world. Many companies are trying, but Sourcegraph is uniquely differentiated by our rich code intelligence data and powerful code search platform. In the world of prompting LLMs, context is everything, and Sourcegraphâs context is simply the best you can get: IDE-quality, global-scale, and served lightning fast. Our code intelligence, married with modern AI, is already providing a remarkable alpha experience, and you can help us unlock its full potential.
We are looking for an experienced full-stack ML engineer with demonstrated industry experience in productionizing large-scale ML models in industrial settings. And if you happen to have an entrepreneurial streak, youâre in luck:Â We have an enterprise distribution pipeline, so whatever you build can be deployed straight to enterprise customers with some of the largest code bases in the world, without all the go-to-market hassle youâd encounter in a startup.
You will be an engineer at Sourcegraph doing R&D, and pushing the boundaries of what AI can do, as an IC on our ML team. You will have the full power of Sourcegraphâs Code Intelligence Platform at your disposal, and youâll be working on a coding assistant to multiply dev productivity to unprecedented levels.
đ Within one month, you willâŚ
đ Within three months, you willâŚ
đ Within six months, you willâŚ
You are an experienced full-stack ML engineer with demonstrated industry experience in formulating ML solutions, developing end-to-end data orchestration pipelines, deploying large-scale ML models, and experimenting offline and online to drive business impact for Cody users. You want to be part of a world-class team to push the boundaries of AI, with a particular focus on leveraging Sourcegraphâs code intelligence to leapfrog competitors.
Your working hours overlap with 8am-4pm PT for at least 20 hours per week so we have time to collaborate synchronously when necessary.
đ This job is an IC3. You can read more about our job leveling philosophy in our Handbook.
đ¸ We pay you an above-average salary because we want to hire the best people who are fully focused on helping Sourcegraph succeed, not worried about paying bills. As an open and transparent company that values competitive compensation, our compensation ranges are visible to every single Sourcegraph teammate.
To determine your salary, we use a number of market and data-driven salary sources, along with your location zone, and target the high-end of the range to ensure weâre always paying above market regardless of where you live in the world. Both U.S. and international locations are divided into one of four zones, determined by the cost of labor index for each area. The starting salary for a successful candidate will be based on level, job-related skills, experience, qualifications, and location zone. Please note that these salary ranges may be adjusted in the future.
đ°The target compensation for this role is $185,000 USD base.
Please speak with a recruiter for additional information regarding zone locations.
đ In addition to our cash compensation, we offer equity (because when we succeed as a company, we want you to succeed, too) and generous perks & benefits.
Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if weâre the right fit for you⌠Interviewing is a two-way street, after all!Â
We expect the interview process to take 5.5 hours in total.
đ Introduction Stage - we have initial conversations to get to know you betterâŚ
đ§âđť Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partnersâŚ
đ Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holisticallyâŚ
Please note - you are welcome to request additional conversations with anyone you would like to meet, but didnât get to meet during the interview process.