Machine Learning Engineer

About us

Our mission is to help people find work that matters. We believe that the world is better when people understand the opportunities available to them. Our human-assisted AI platform delivers great results to our customers (customer quote: "I'd have a panic attack if you guys stopped existing").

Because of this, we raised $3.5M from OpenAI researchers and Lightspeed Venture Partners at one of the highest ever valuations coming out of YC. Our team has previously sold companies, published machine learning research, has Dropbox's former Chief of Staff, and hails from MIT, Google, Airbnb, McKinsey, etc.

The role

We pay for coaching for all employees. We strongly value personal growth, and want to help you grow into the person you want to be. :)

We have tractable NLP/machine learning problems that are core to our product, data infrastructure scaling challenges to tackle as we're growing quickly, and greenfield customer-facing product work that you'll own end-to-end (research, design, and build).

What you bring

  • Are you empathetic, driven, and intellectually curious? (see our values here)
  • Do you understand the value of shipping quickly and of software craftsmanship, and have the judgment to know when to apply each?
  • Can you design, build, and ship projects independently?
  • Do you enjoy collaborating with other developers and helping them grow?

Machine Learning Engineer

We have a long list of interesting machine learning problems that are core to our product. Here are just a few of the challenges we face:

  • Creating general purpose learning and training methods for our personality traits and role heuristics
  • Developing machine learning model evaluation and performance tracking
  • Building experimental infrastructure to allow people to run models across everyone in the world very quickly

Requirements:

  • Experience building non-trivial machine learning applications
  • Strong software engineering background (3+ years of experience)
  • Appreciates our values—empathetic, thoughtful, and impact-driven

Stack

  • Javascript (React)
  • Python (Django, nltk)
  • PostgreSQL
  • AWS 

Help us create a world where all 7 billion people work at jobs that they love, do things that they’re great at, and work for companies that are solving meaningful problems.

Apply by sending an email to jobs@sourceress.com or by submitting the form below:

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Engineering

If we can reduce friction to finding higher impact work, we’ll help people be more productive, feel more fulfilled, and ultimately accelerate human progress.

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