Engineering Manager, Machine Learning

2 weeks ago

San Francisco, United States Reddit Full time

Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visitredditinc.com.

Reddit is continuing to grow our teams with the best talent. This role offers flexibility and is remote-friendly, However, it is important that the candidate is based in the proximity of the SF Bay Area office (Pacific time) or the NYC office (Eastern time).

The Ads Foundations org is the ensemble of the platform teams powering Ads Engineering, Product, ML Systems, and Experimentation efforts. At the core of them all it’s the Ads Infrastructure team composed of the key senior engineers gluing it all together; as of 2024, the team responsibilities include the following charters:

  • Tech Evolution of the Reddit & Ads stack - Bring the Ads tech stacks into the future leveraging the Consumer side centralized resources (Cloud/People/Know-how) and looking beyond based on Ads unique challenges where scale, performance, and characteristics involve two very different kind of customers, Redditors and Advertisers.
  • Engineering velocity & happiness - Unlock the shortest path, without compromising on quality, to build from proof of concepts to fully productionized systems. We want to democratize developer velocity independently from the size or the amount of infra/system expertise a specific vertical team has.
  • Cloud resources & Data observability - Standardize and apply best practices among all the vertical teams to be able to understand Cloud and Business impact for any given product launch. As we evolve as a public company, we also want to evolve our best practices when it comes to resources to teams/systems/components mapping to facilitate future refactors, optimization, and go to market initiatives.
  • Cost of Revenue Tracking and Optimizations - Design, implement, and drive best practices for all development teams to ship cost efficient systems that can survive the test of time. The Ads Infrastructure team acts as the gate to validate the engineering excellence of a given system going live for millions of customers.

We are looking for a seasoned Engineering Manager with industry-relevant platform or infrastructure expertise to lead the Ads Infrastructure team with engineers spread across US East & West coast

Responsibilities

  • Coach, Motivate, Build, Hire, and Lead a world-class team of passionate Infrastructure engineers with a knack for high scale/high performance Ads delivery systems
  • Lead, coordinate, and execute a coherent vision for a ruthlessly prioritized infrastructure roadmap based on business needs
  • Set and support a culture of data-informed decision making, with efficient processes and strong transparency
  • Facilitate the collaboration between the different product/vertical teams making use of Ads Infrastructure and the partner and core platform teams across Reddit
  • Participating in design and coding reviews: You will review work by your team members and provide feedback to ensure that it meets the team's standards for quality, performance and best practices
  • Collaborating with cross-functional team leads (EMs, PMs, DSs) to understand business requirements and translate them into technical directions for the Ads Infrastructure roadmap in conjunction with the rest of the Ads Foundations teams

Required Qualifications:

  • 8+ years of industry experience as a SWE
  • 3+ years managing (including coaching, mentoring, developing) engineering teams
  • 2+ years in the capacity of tech lead in charge of systems & architecture design
  • Experience with at least two general programming languages such as Python, Go, Scala, Java, C++
  • Preferred experience in one or more of the following areas: Message Queuing Services (Kafka, Amazon Simple Queue Service), Data Processing Frameworks (Apache Spark, Apache Flink), Key Value Stores (Redis, DynamoDB, Memcached, Riak), Document based DBs (MongoDB, Cassandra), Container Orchestration (Kubernetes, Mesos), ML Ops ((ML | Tensor | Kube)flow)
  • Excellent communication skills, both written and verbal, and the ability to work effectively with product managers, data scientists, and other stakeholders

Preferred Qualifications:

  • Experience managing Infrastructure or Platform-y teams
  • Experience with Ads
  • Experience with Technical Program Management
  • Industry relevant or scientific contribution in the field of DevOps, Infrastructure, High scalability/Big Data systems
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