Lead Machine Learning Engineer, Ads (Remote) Department: Engineering Employment Type: Full Time Location: Remote Reporting To: Noah Pryor (CTO) Description We are on a journey to help the next million creators, publishers, and companies scale and monetize their audiences. beehiiv is already home to tens of thousands of the most popular newsletters in the world, and we’re only 26 months old! The company quickly achieved $1M ARR in January 2023 and over $7M just a year later in January 2024 . As of May, we’re closing in on $10M. Oh and the team is loaded with the some of the most talented and ambitious engineers in the industry. You will be a great fit if you have a well thought-out technical perspective that you balance with a practical desire to ship to customers. We’re seeking a self-motivated teammate who communicates early and often, and strives for the whole team to succeed. We are looking for someone with several years of relevant experience building machine learning pipelines and models from the ground up, ideally in a space similar to ads or recommendations. We respect each other as individuals and know work is just one part of life; we want you to have the flexibility and support you need to achieve fulfillment in your personal and professional lives. Technologies we work with: Our application is built with: Ruby on Rails React Typescript Redis, PostgreSQL, Elasticsearch Our (nascent) data pipeline is built using Kafka Clickhouse Go Kubernetes Ideally you will have: Experience designing and implementing ML pipelines from scratch Experience building ML inferences as a service, over RPC, IPC or similar. Familiarity with Cloud Analytics/ML services like SageMaker, Databricks, Snowflake, MLFlow or clickhouse Experience building out an ML team Strong troubleshooting skills Experience working with an agile development team 5+ years of relevant work experience Nice to have: Experience working with Rails apps Familiarity with email-specific topics Experience working on small, highly productive engineering teams What you will be responsible for Leading the development of several high-impact initiatives related to the Ad Network, like replacing our entirely manual advertiser <> newsletter matching process with something driven by ML. Building predictive models to enable our platform and admin team to deliver a stronger ROI for our advertisers Building fraud detection systems to improve the quality of data integrity via the ad network Prioritizing and triaging a backlog of in-demand feature requests and bugs Transitioning our tech ecosystem into a more robust and performant version of itself, continuously optimizing for scale Documenting your thought processes and development Bringing new ideas to work, suggesting creative solutions, and collaborating with others to bring the absolute best product to market Why beehiiv? We’re remote. We believe that your best work is done where you feel safe, comfortable, and supported. Empathy, not ego. Empathy opens the door to problem solving. Our team is uniquely talented and we can solve any problem when we lead with empathy. Bias towards action. Most decisions can be changed or altered, but progress cannot be created without action. It is almost always better to deliver something today over something that may be better tomorrow. Complete transparency. You will have full access to business metrics about the company. Owner-attitude. Ownership creates a sense of pride and accountability. It empowers someone to stand up for what is right, with a long-term outlook. We’ll take care of you Competitive salary Stock Options Health, Dental, and Vision Insurance 401(k) employer match Unlimited PTO (mandatory 10 days per year minimum) Twice-annual in-person team retreat Unlimited book budget Two month sabbatical every three years Mental health day each month #J-18808-Ljbffr
PostgreSQL databricks Agile Troubleshooting Remote Procedure Call (RPC) Apache Kafka ipc snowflake-cloud-data-platform remote work Elasticsearch Machine Learning Redis React Engineering Amazon SageMaker Ruby on Rails Go Problem-solving Advertising TypeScript mlflow Kubernetes Return on Investment (ROI) clickhouse Empathy