ML/NLP Engineer

About the job

Remote within the U.S. — $120k – $170k

Podsights is a small, distributed organization seeking an engineer to join our growing team! Here’s a little about us, a little about what we believe, and what we are looking for.

Podsights is the operating system for podcast advertising. We likely work with your favorite publisher and handle over 4 billion events a month.

Our mission is simple, we are looking to grow the podcast industry. Far too many brands try a podcast advertising campaign and churn. Or worse: they don’t even try to enter the market. By providing a platform for brands to understand and scale podcast advertising, we encourage investment in podcast advertising, and by proxy to publishers.

Your job will be to apply your knowledge of machine learning and natural language processing algorithms to the broad set of podcast audio to help our customers better understand the content they’re advertising with. We want to move beyond the overall theme of a show to understand individual episodes and segments. You should be comfortable going from theory to implementation, and enjoy a fast, iterative process. This role leaves room for your creativity and influence on what we can learn from the data we work with.

The podcasting industry has seen a lot of growth in the past few years, and we believe it has more room to grow. Beyond growth, podcasting presents some interesting problems: its decentralized, RSS-based nature, and the various ways people can listen. Joining Podsights is an excellent opportunity to be hands-on with an evolving medium.

We believe that where you went to school has little bearing on your performance as a software engineer. Where you live isn’t a proxy for talent. Your current employer provides low signal about your future potential.

At Podsights, we look for ambition and curiosity. We love engineers that aren’t solely interested in the craft of developing software. Want to start a company of your own one day? Yes, we want to talk. Are you interested in the business side of software? Tell us more.

We want curious engineers. You take things apart and see how they work (the real test is if you can put them together too!).

Ideally, you will have 3+ years of experience working with ML and/or NLP as a software engineer. Our current stack includes Python, Google Cloud (Dataflow, Spanner, BigQuery, etc.), React, Apollo, Go, Node, and potentially whatever you bring to the table.

Our team consists of members of Embedly (acquired by Medium), Horizon Media, Claritas, NPM, and How Stuff Works. You can learn more about us here:

If the above interests you, drop us a note. We’re less worried about a resume (LinkedIn is fine), but more importantly, tell us about your ideal next role.

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