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Remote within the U.S.--$110k - $160k
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 an attribution platform for podcast advertising. We likely work with your favorite publisher and handle over 7 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 optimize results, we encourage investment in podcast advertising, and by proxy to publishers.
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.
Different backgrounds bring different perspectives, and we believe this helps us be better problem solvers. We encourage applications from all sorts of diverse backgrounds.
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!).
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: Podsights Team
We cover 100% of health/dental/vision benefits, offer 4 weeks of PTO, above average paid parental leave, and reimbursement toward a comfortable workspace.
About the Role
As MLOps Engineer, you are the glue that holds the Podsights ML R&D team together. You have your hand in every aspect of the machine learning lifecycle: from dataset preparation and exploratory data analysis, to model training pipelines and deployment. Your DevOps and data engineering skills coupled with your exposure to machine learning are vital to bringing models out of development and into production. You're a fast learner, flexible and enjoy picking up new toolsets. Ideally, you enjoy mentoring and sharing your knowledge to further the goals of the Podsights ML R&D team.
– 5+ years of experience as a DevOps, Data, or MLOps Engineer
– Python proficiency
– DevOps experience and frameworks (eg. Docker, Kubernetes, Rancher, GKE, containerization, orchestration, distributions, etc)
– Cloud services (GCP preferred)
– GPU frameworks (Pytorch/Tensorflow
– CI/CD development for the machine learning life cycle
– Data cleaning and wrangling
– Intellectual curiosity; Stay current with advances in ML Ops
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.