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AI sourcer, helping mission-driven companies grow their teams (YC S17)

Machine Learning Engineer

$110k – $160k estimated
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About the role

As a senior software engineer, you’ll focus on owning projects from end to end. We’ll work to shield you from all other responsibilities and meetings so that you can maximally focus on solving a variety of interesting technical and business challenges.

We’re planning to double in size for each of the next two years. Fast-growing companies are often constrained by their ability to find or cultivate internal leaders (both purely technical leaders and people leaders). Accordingly, you’ll have significant autonomy in determining your projects, their requirements, and their architectures.

We’re exceptionally remote-friendly: about half of our team is remote, our San Francisco office has “portals” (a large TV, high quality microphone, and webcam) in every well-trafficked room, and remote team members even participate in lunch conversations, our book clubs, and our AI research club.

Responsibilities
- Solve the most important problems facing the business (generally by writing software, but not always!)
- Minimize the complexity of the software that we create and maintain.
- Continually improve your own software engineering skills (whether via side projects, classes, or whatever else works for you)
- Help develop our team of talented engineers by mentoring, collaborating on projects and providing detailed code / architecture reviews.

Sample projects
- For detail-oriented engineers that love to build beautiful and highly correct products: we have greenfield customer-facing product work. These users depend on and love Sourceress, and are eager to help improve the product and provide feedback to your work.
- For engineers that love rapid prototyping and hate CSS: we have a variety of products for our highly-trained internal contracting team. These are critical to the magical feeling of our product and often require creative solutions and complex interfaces.
- For engineers who love data, systems, and infrastructure: we're also building a distributed model training and model scoring system. Because we care about all of the candidates in the world, we run into quite interesting infrastructure scaling problems that most startups would not hit they were much larger. As a result, a relatively small number of engineers get to solve “large” infrastructure problems end-to-end.
- For engineers interested in machine learning, we have a variety of interesting problems touching a huge variety of sub-fields: NLP, deep learning, interpretability, fairness, graph-based learning, entity resolution, and much more are all relevant to our work. Engineers without prior experience but interest in learning can and will be taught the relevant skills.
- For those engineers who care about clean code, developer tooling and productivity: we pride ourselves on exceptional developer tooling, and are constantly investing in our internal tools. For example: we've created a method that that allows us to attach a debugger to any process that has encountered an unexpected exception, even in production. This tool (we call it the Platinum Debugger) eliminates the time-consuming and often difficult step of reproducing the bug for about 90% of our bugs, vastly improving our productivity.

Requirements
- 3+ years of software engineering experience.
- You’re an effective executor. You understand both the value of shipping quickly and of software craftsmanship, and have the judgment to know when to apply each. You’re capable, focused, and productive.
- You’re cognizant of the multi-year consequences of your decisions.
- You’re dependable. You do high-quality work, on time.
- You’re incredibly smart.

Stack
- Typescript (react)
- Type-annotated Python 3 (django, scikit-learn, pytorch)
- PostgreSQL
- AWS

Career growth

Software engineers that want to specialize in software engineering won’t be pushed into management roles. Technical leaders are equally as important as people leaders, and we maintain parallel career tracks accordingly.

For those engineers that would like to try their hand at management, we are happy to pay for leadership development resources. In the past, we’ve paid for executive coaching from Torch.io and engineering leadership courses from the Bradfield School of Computer Science.

Whatever track you're on, we strongly value personal growth, and want to help you grow into the engineer and person that you aspire to be.