About The Role

As an MLE on the Core Signals team, you will primarily be focused on (1) the representation learning surrounding our fundamental user-behavioral modeling problems and (2) using those core models to power new and existing products.

This role involves a lot of collaboration with the Product org and Applications team to realize these R&D gains - but is ultimately a "full stack" ML role. Day to day responsibilities include data processing, model training, deployment, and evaluation.

A good amount of "wearing your Product hat" is expected, as well as the ability to flex into some other functions as needed - we are a quickly growing startup after all.

What it takes to succeed in this role:

• You understand enough about machine learning to be able to apply it to novel problems and suggest improvements to our current setup, or even radical new approaches. Previous publication experience is not required.
• You've worked on and can speak to at least some of: representation learning, embeddings drift, CTR modeling, sequence modeling, etc., preferably on "big data" in an industrial setting.
• Skill and attitude wise, you can quickly contribute to the non-research components of our pipeline. This includes things such as data orchestration, build systems, and experiment tracking. Although we use a combination of open source products like Airflow, Bazel, Github CI/CD, and Spark, prior experience with these specific solutions is not needed. However, a good part of your day to day will involve interacting with these systems, so you should be comfortable with getting your hands dirty.
• Good product sense - you have opinions on what we should and shouldn't be doing both in chasing product-market fit and on the implementation side.

A reasonable estimate of the current base salary range at the time of posting is below. Base salary does not include other forms of compensation or benefits. Actual base salary within the specified range is comprised of several components, including but not limited to applicant's skill, prior relevant experience, specific degrees and certifications, job responsibilities, market considerations and the location of the position.

Base salary range: $180,000-$275,000

We prioritize attitude, culture, and general (technical) fit over matching perfectly into one of our job descriptions. If our mission and work resonates with you, we encourage you to apply. Tell us how you can help drive our products forward, even if you don't feel like you are a perfect fit for some of the listings.