Engineering Manager, Machine Learning Any Engineer Hybrid Intern Regular Remote

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 team.
• Gain 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 goals.
• Actively 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 strategy.
• Think 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 improvements.
• Contribute to initiatives in the wider Engineering Manager community, whether that’s locally in Trust and Safety, or more widely.
• Collaborate 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

About you and your experience:

• 1-2 years of people management experience in an engineering-driven environment heavily focussed on data science and machine learning; 
• Proven track record of leading successful end to end machine learning projects (NLP, Computer Vision, pattern detection), either directly as a contributor or as a people manager;
• Experience in working cross-functionally in partnership with product and data science;
• Comfortable working in agile or hybrid delivery environments, with a collaborative and adaptable mindset;
• Direct exposure to modern MLOps infrastructures, from training to internet scale GPU inference in multiple regions; 
• Ready to champion and educate others in using machine learning to solve business challenges or customer pain points;
• Able to balance strategic and tactical demands, challenging the status quo and empowering your team to innovate
• Strong interpersonal and communication skills: You build trust with stakeholders, champion a positive team environment, and ensure clarity in goals and execution

Criteria we will be assessing upon:

• Your ability to proactively and positively influence delivery, business acumen, innovation, technical strategy, system health and team health within the Trust ML team and the wider Trust & Safety Group.
• You’ve managed a (potentially small!) but diverse group of engineers and/or scientists and you have started to develop your own leadership to guide people to becoming the best professional they aspire to be.
• Your strong domain understanding and curiosity to explore, understand and improve complex systems serving millions of members daily.
• You know how to (and you don’t take any decision without!) analyse varying data to inform trade-offs and risks, driving a solid experimentation culture.
• Your ability to communicate and collaborate effectively, and how you support others to be great at this too!
• You have a proven track record of shipping and meeting goals, working at the highest quality standards and at the edge of the state of the art.
• You have experience in how to bring a multidisciplinary team together, and work as effectively as possible with partners in Product, Operations and Infrastructure.
• You know how to frame technical challenges within a business context
• You know how to balance Group and individual needs, and can help finding harmony where the two create dissonance.
• You’re able to work with others who may be remote at least part of the time.
• Your values align strongly with the Bumble Inc. values: Growth, Kindness, Equity, Accountability, and Honesty.