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Engineering Manager, Machine Learning (London)

Bumble Inc.
London
1 month ago
Applications closed

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Join to apply for theEngineering Manager, Machine Learningrole atBumble Inc.

Bumble is looking for a talentedEngineering Manager – Machine Learning to join the Trust ML team and help drive our mission to create a world where all relationships are healthy and equitable. We’re looking for an ML leader with strong technical understanding, business acumen and proven track record of leading small high-performing teams of data scientists and machine learning engineers. At Bumble, the Engineering Manager role is all about leadership, execution, and delivery - while also contributing to the broader community and shaping our engineering culture!

Trust and Safety is truly at the heart of Bumble Inc.’s mission to create a world where all relationships are healthy and equitable through kind connections. We believe that everyone deserves a safe and comfortable place to make empowered, respectful, and meaningful connections. We think big, as you can see from some of the changes we’re making in the wider world:

- In November 2023 Bumble Inc. became the first business to sign on to an amicus brief in Zurawski v. State of Texas , a groundbreaking lawsuit filed by human rights advocacy nonprofit the Center for Reproductive Rights.

- Bumble Partners with The Dialogue To Make the Internet Safer for Women in India

- Bumble Backs Law to Ban Cyberflashing in 27 Countries

- Bumble releases Open-Source Version of Private Detector A.I.

- Bumble’s A.I.-Powered Deception Detector Weeds Out Spam, Scam, and Fake Profiles

Our technology-related work in the Trust space is a key part of this. We’re responsible for complex and meaningful problems including member and content authenticity; detecting and combating toxic behaviour and content whilst encouraging kindness; creating and maintaining support, moderation, and operational tooling; and using a range of technologies leveraging machine learning at their core: with millions of images and messages exchanged on our platform every day, there is a wealth of opportunity to make a real difference in this role and help people to find meaningful connections all over the world!

We currently maintain several machine learning solutions at internet scale, spanning from content moderation to proactive detection of inauthentic profiles, among the others! We leverage the most modern technological stack in this industry, both from a modelling standpoint (Tensorflow, Pytorch, ONNX) and from a MLOps perspective: we serve tens of thousands requests per second in our GPU-powered Kubernetes clusters!

Some of our posts, if you are interested in deep diving in our stack and infrastructure:

GitOps for multi-cluster K8s environments - https://medium.com/bumble-tech/gitops-for-multi-cluster-k8s-environments-d305431ba6d6

Bumble is looking for a talentedEngineering Manager – Machine Learning to join the Trust ML team and help drive our mission to create a world where all relationships are healthy and equitable. We’re looking for an ML leader with strong technical understanding, business acumen and proven track record of leading small high-performing teams of data scientists and machine learning engineers. At Bumble, the Engineering Manager role is all about leadership, execution, and delivery - while also contributing to the broader community and shaping our engineering culture!

Trust and Safety is truly at the heart of Bumble Inc.’s mission to create a world where all relationships are healthy and equitable through kind connections. We believe that everyone deserves a safe and comfortable place to make empowered, respectful, and meaningful connections. We think big, as you can see from some of the changes we’re making in the wider world:

- In November 2023 Bumble Inc. became the first business to sign on to an amicus brief in Zurawski v. State of Texas , a groundbreaking lawsuit filed by human rights advocacy nonprofit the Center for Reproductive Rights.

- Bumble Partners with The Dialogue To Make the Internet Safer for Women in India

- Bumble Backs Law to Ban Cyberflashing in 27 Countries

- Bumble releases Open-Source Version of Private Detector A.I.

- Bumble’s A.I.-Powered Deception Detector Weeds Out Spam, Scam, and Fake Profiles

Our technology-related work in the Trust space is a key part of this. We’re responsible for complex and meaningful problems including member and content authenticity; detecting and combating toxic behaviour and content whilst encouraging kindness; creating and maintaining support, moderation, and operational tooling; and using a range of technologies leveraging machine learning at their core: with millions of images and messages exchanged on our platform every day, there is a wealth of opportunity to make a real difference in this role and help people to find meaningful connections all over the world!

We currently maintain several machine learning solutions at internet scale, spanning from content moderation to proactive detection of inauthentic profiles, among the others! We leverage the most modern technological stack in this industry, both from a modelling standpoint (Tensorflow, Pytorch, ONNX) and from a MLOps perspective: we serve tens of thousands requests per second in our GPU-powered Kubernetes clusters!

Some of our posts, if you are interested in deep diving in our stack and infrastructure:

GPU-powered Kubernetes clusters - https://medium.com/bumble-tech/gpu-powered-kubernetes-clusters-7fc6505125c

KServe ML deployments - gRPC vs JSON- https://medium.com/bumble-tech/your-next-kserve-ml-service-grpc-vs-json-rest-2e3a512fba9e

GitOps for multi-cluster K8s environments - https://medium.com/bumble-tech/gitops-for-multi-cluster-k8s-environments-d305431ba6d6

What you'll do:

Take the lead in collaboratively designing, delivering and maintaining our machine learning services, in close collaboration with Trust Product Management;Collaborate with Machine Learning Engineers and the MLOps Core Team to ensure our architectural choices and tech stack align with the broader tech and product strategy;Drive continuous improvement in processes and technology, ensuring the team meets quality standards and delivery commitments while maintaining an inclusive, high-performance culture;Create tangible objectives that link team deliverables with overall Group vision in close partnership with Trust Area leadership. Monitor progress and provide visibility to all stakeholders;Actively spot dependencies, inefficiencies, or roadblocks, pushing for both short- and long-term resolutions;Oversee career development for direct reports, setting clear expectations, providing feedback, and ensuring team members have a clear path for progression;Support wider Bumble’s technology team in adopting modern practices and leveraging machine learning to enhance our members’ experience across their entire journey with our products;Be an ambassador of Bumble Inc. culture and values, who sets the standards by example!

In the first 12 months you will:
Start leading in our Trust ML problem space! As part of this, you’ll do all the usual day-to-day line management activities: high quality 1:1s, give regular feedback, work on career development, run performance reviews, create promotion cases. You’ll learn about and be able to support people in a range of different situations and with different needs, including remote working, neurodiversity, and from different backgrounds to you. You’ll watch out for potential for bias in various forms, and proactively work to minimise potential for burnout amongst your teamGain a deep understanding of our business, our members, and the domains we work in, allowing you to use your judgement and ideas to contribute to technology-related decisions.Be accountable for the overall technical delivery in your team, including considering factors (and tradeoffs between) speed, innovation, quality, non-functional requirements, and knowing how your domain contributes meaningfully to company goalsActively form strong relationships and partnerships with your cross-functional leads in product, operations, infrastructure, security and beyond, working together on quarterly roadmaps, headcount needs, prioritisation, processes, and overall strategyThink about the future and how we can use technology as an advantage, whether through technology-relation horizon scanning, commitment to research, use of third parties (build vs buy), minimising bottlenecks, fire prevention (rather than fighting), as well as looking at how you can set up your team through people-related/developer experience system and process improvementsContribute to initiatives in the wider Engineering Manager community, whether that’s locally in Trust and Safety, or more widelyCollaborate with other Machine Learning leaders at Bumble Inc. to improve the way we use artificial intelligence to benefit our members and as a competitive advantage for our company.Take part in hiring and other practical activities to help strengthen our overall BumbleTech team

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