Bumble

Lead Machine Learning Engineer

Bumble$255K — $280K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7-10 years of experience in machine learning or equivalent background
  • Strong expertise in delivering end-to-end ML systems in production
  • Proficient in Python and ML frameworks like PyTorch and TensorFlow
  • Experience in designing and scaling ML pipelines using technologies like Spark and Airflow
  • Hands-on experience with Large Language Models (LLMs) and production integration
  • Ability to tackle ambiguous problems and deliver impactful results
  • Solid collaboration skills across cross-functional teams

Responsibilities

  • Lead the design and delivery of ML systems for recommendations and personalization
  • Architect and optimize ML pipelines for scalable systems
  • Build and deploy advanced models in high-scale environments using modern frameworks
  • Develop LLM capabilities including prompt design for production
  • Drive experimentation strategies like A/B testing to enhance performance
  • Collaborate with Product, Engineering, and Data teams to address business challenges
  • Mentor and support engineers to promote a culture of continuous improvement

Benefits

  • Medical, Dental, Vision insurance
  • 401(k) match
  • $10,000 lifetime benefit for fertility and adoption services
  • 26 weeks parental leave for all caregivers
  • Family and compassionate leave policies
  • Unlimited Paid Time Off
  • Annual company-wide week off for collective rest
  • Focus Fridays for uninterrupted deep work
Full Job Description
What You'll do

  • Lead the design and delivery of end-to-end ML systems powering recommendations, ranking, and personalization, driving measurable improvements in user outcomes
  • >
  • Architect and optimise ML pipelines, integrating data processing, model training, evaluation, and deployment into scalable systems (e.g. Spark, Airflow)
  • >
  • Build and deploy advanced models using modern frameworks (e.g. PyTorch), ensuring robustness in high-scale production environments
  • >
  • Develop and apply LLM-based capabilities, including prompt design and fine-tuning approaches for production use cases
  • >
  • Drive experimentation strategy, including A/B testing and offline evaluation, to continuously improve performance and inform product decisions
  • >
  • Partner cross-functionally with Product, Engineering, and Data teams, collaborating with purpose to translate business challenges into ML solutions
  • >
  • Mentor and support other engineers, fostering a culture of Curiosity, ownership, and continuous improvement
  • >


About You

  • Typically requires 7-10 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills.
  • >
  • Strong expertise in machine learning, with a track record of delivering end-to-end systems in production
  • >
  • Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow), with experience in areas such as recommendation systems, ranking, or NLP
  • >
  • Experience designing and scaling ML pipelines and data systems (e.g. Spark, Airflow, or similar technologies)
  • >
  • Hands-on experience with LLMs, including prompting, evaluation, and production integration
  • >
  • Demonstrated ability to take ownership of ambiguous problems and deliver impactful outcomes
  • >
  • Strong collaboration skills, working cross-functionally and taking ownership of shared goals
  • >
  • Solid AI fluency, with the ability to guide best practices in model development and responsible AI usage within a team
  • >


$255,000 - $280,000 a year

For base compensation, we set standard ranges for all roles based on function, level, and geographic location. This position is also typically eligible to participate in our short- and long-term incentive programs. Benefits include Medical, Dental, Vision, 401(k) match, Unlimited Paid Time Off Policy.

Maven Fertility: $10,000 lifetime benefit for fertility, adoption, abortion care, and more.

26 Weeks Parental Leave: For both primary and secondary caregivers.

Family & Compassionate Leave: Inclusive of domestic violence recovery.

Unlimited Paid Time Off: Take the time you need.

Company-wide Week Off: Annual collective rest for the entire company.

Focus Fridays: No meetings, emails, or deadlines-just deep work.

About Bumble

Bumble is an online dating app that allows users to connect with potential partners. The company was founded in 2014 and is headquartered in Austin, Texas. Bumble offers a range of features, including photo verification, video chat, and voice calls. The company serves a variety of demographics, including young adults and the LGBTQ+ community.
Learn more about Bumble
Size
600 employees
Market Cap
$2.6 billion
Industry
Revenue
$582.1 million
NASDAQ

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