[Remote] Principal Machine Learning Engineer, Matching and Recommendations
Note: The job is a remote job and is open to candidates in USA. Bumble Inc. is dedicated to creating healthy and equitable relationships through its platforms. The Principal Machine Learning Engineer will lead the technical strategy for AI and Machine Learning systems, driving innovations in recommendations and user personalization while ensuring responsible AI practices.ResponsibilitiesDefine and lead the technical strategy for AI and Machine Learning systems that power recommendations, ranking, and personalization across Bumble products, delivering measurable improvements in user engagement and safetyDesign, develop, and deploy production-grade models using modern ML frameworks such as PyTorch , ensuring scalability and reliability in high-traffic environmentsBuild and deploy production AI Agents using raw and fine-tuned foundational Large Language Models (LLMs), along with sub-agents, tools, and MCP integrationsArchitect end-to-end ML pipelines, integrating data processing (e.g. Spark, Airflow) with model training, evaluation, and deployment workflowsDrive experimentation frameworks, including A/B testing and offline evaluation, to continuously improve model performance and product outcomesPartner cross-functionally with Product, Engineering, and Data leadership to translate business challenges into impactful ML solutions, collaborating with purpose and influencing at senior levelsMentor and elevate senior individual contributors, fostering a culture of Excellence, Curiosity, and continuous learning across the ML communityTake ownership of complex, ambiguous problem spaces, seeing initiatives through from insight to impact while adapting approaches with an agile mindsetChampion responsible AI practices, ensuring fairness, transparency, and user safety are embedded into all machine learning systemsSkillsTypically requires 10–15 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skillsDeep expertise in machine learning, with hands-on experience building and deploying large-scale systems in production environmentsStrong proficiency in Python and at least one major ML framework (e.g. PyTorch, TensorFlow), with experience in areas such as recommendation systems, ranking models, or NLPExpertise in prompting and fine-tuning Large Language Models (LLMs) and building production AI AgentsProven experience designing scalable data and ML pipelines using tools such as Spark, Airflow, or similar distributed systemsDemonstrated ability to operate as a senior individual contributor, influencing technical strategy and decision-making without direct authorityExperience partnering effectively across functions, collaborating with purpose and taking ownership of outcomes in complex organisational environmentsA track record of mentoring and uplifting others, role modelling Respect and Excellence while building inclusive, high-performing teamsStrong AI fluency, with the ability to independently design, evaluate, and optimise ML systems, and guide others in the responsible and effective application of AIBenefitsMedical/dental/vision, 30-day eligibility.Unlimited PTO + 1 company-wide week off + Focus Fridays every weekFully paid life and long-term disability insurance401k with 4% company match if you contribute 6%, 90-day eligibilityMonthly wellness benefit and access to Noom, Unmind, and Your Money LineMaternity and Fertility benefit + 26 week paid parental leavePremium App AccessCompany OverviewBumble Inc. is the parent company of Bumble Date, BFF, and Badoo. It was founded in 2014, and is headquartered in Austin, Texas, US, with a workforce of 501-1000 employees. Its website is https://team.bumble.com.