Senior Machine Learning Engineer

• Build and deploy machine learning models that improve recommendations, ranking, and personalization, driving measurable impact on user experience and engagement

• Own problems end-to-end, from data exploration and feature engineering through to model training, evaluation, and production deployment

• Develop and maintain scalable ML pipelines using tools such as Spark and Airflow to support reliable, high-quality model delivery 

• Apply modern ML frameworks (e.g. PyTorch or TensorFlow) to design, train, and optimise models in production environments

• Contribute to experimentation frameworks, including A/B testing and offline evaluation, to iterate on model performance with an agile mindset

• Collaborate cross-functionally with Product and Engineering, working with purpose to translate product questions into ML solutions

• Take ownership of delivering high-quality solutions and see work through from insight to impact, balancing speed and rigor

• Apply responsible AI practices, ensuring fairness, transparency, and safety are considered in model development and deployment

• Typically requires 5–8 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills.

• Strong experience building and deploying machine learning models in production environments

• Proficiency in Python and experience with at least one major ML framework (e.g. PyTorch, TensorFlow)

• Experience working with data pipelines and distributed systems (e.g. Spark, Airflow) to support ML workflows

• Familiarity with experimentation methodologies such as A/B testing and model evaluation techniques

• Ability to collaborate effectively across functions, demonstrating strong ownership and a collaborative mindset

• Demonstrates an agile mindset, adapting approaches based on data and evolving priorities while maintaining focus on outcomes

• Growing AI fluency, with the ability to independently apply ML techniques and emerging tools (including LLMs) to solve problems responsibly

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