Staff Machine Learning Engineer
TLDR
As a Staff Machine Learning Engineer, you'll own large-scale ML systems, influence product direction, and mentor others while embedding AI best practices across teams.
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Own and drive large-scale, end-to-end ML systems powering recommendations, ranking, and personalization, influencing product and technical direction
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Design and architect scalable ML platforms and pipelines, integrating data processing, training, evaluation, and deployment (e.g. Spark, Airflow)
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Build and optimise advanced models using modern ML frameworks (e.g. PyTorch), ensuring performance, scalability, and reliability in production
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Lead the development of LLM-powered systems and AI agents, including prompt design, fine-tuning, and system integration
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Establish best practices for experimentation, including robust A/B testing and evaluation methodologies
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Collaborate cross-functionally at depth, partnering with Product, Engineering, and Data to shape strategy and deliver impactful ML solutions
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Mentor and elevate engineers across the team, fostering a culture of Respect, ownership, and technical excellence
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Take ownership of highly ambiguous problem spaces, seeing initiatives through from insight to impact while adapting with an agile mindset
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Typically requires 8–12 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills.
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Deep expertise in machine learning, with significant experience building and scaling production-grade systems
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Strong proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow), with experience in recommendation systems, ranking, or NLP
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Expertise in designing scalable ML and data pipelines using distributed systems (e.g. Spark, Airflow or similar)
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Experience working with LLMs and building production-ready AI-driven features or systems
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Demonstrated ability to operate as a senior individual contributor, influencing technical decisions and elevating team capabilities
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Strong cross-functional collaboration skills, working with purpose and taking ownership of outcomes across teams
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Advanced AI fluency, with the ability to design, evaluate, and optimise ML systems and guide others in responsible AI practices
Benefits & Perks
Insurance: Medical/dental/vision, 30-day eligibility. Bumble has multiple competitive offerings that will be available to you on the first of the month following date of hire.
Unlimited PTO + 1 company-wide week off + Focus Fridays every week
Fully paid life and long-term disability insurance
401k with 4% company match if you contribute 6%, 90-day eligibility
Monthly wellness benefit and access to Noom, Unmind, and Your Money Line
Maternity and Fertility benefit + 26 week paid parental leave
Premium App Access
Benefits
Paid Parental Leave
Maternity and Fertility benefit + 26 week paid parental leave
Paid Time Off
Unlimited PTO + 1 company-wide week off + Focus Fridays every week
Wellness Stipend
Monthly wellness benefit and access to Noom, Unmind, and Your Money Line
Bumble Inc. develops a suite of platforms, including Bumble Date, BFF, and Badoo, focused on helping individuals form healthy and equitable relationships. Catering to those looking for romance, friendship, or community, Bumble's unique approach centers around empowering users—especially women—to take the lead in their connections.