Principal Machine Learning Engineer
Bumble Inc.
full-time
Posted on:
Location Type: Hybrid
Location: Austin • Texas • United States
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Job Level
About the role
- Define 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 safety
- Design, develop, and deploy production-grade models using modern ML frameworks such as PyTorch , ensuring scalability and reliability in high-traffic environments
- Build and deploy production AI Agents using raw and fine-tuned foundational Large Language Models (LLMs), along with sub-agents, tools, and MCP integrations
- Architect end-to-end ML pipelines, integrating data processing (e.g. Spark, Airflow) with model training, evaluation, and deployment workflows
- Drive experimentation frameworks, including A/B testing and offline evaluation, to continuously improve model performance and product outcomes
- Partner cross-functionally with Product, Engineering, and Data leadership to translate business challenges into impactful ML solutions, collaborating with purpose and influencing at senior levels
- Mentor and elevate senior individual contributors, fostering a culture of Excellence, Curiosity, and continuous learning across the ML community
- Take ownership of complex, ambiguous problem spaces, seeing initiatives through from insight to impact while adapting approaches with an agile mindset
- Champion responsible AI practices, ensuring fairness, transparency, and user safety are embedded into all machine learning systems
Requirements
- Typically requires 10–15 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills.
- Deep expertise in machine learning, with hands-on experience building and deploying large-scale systems in production environments
- Strong 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 NLP
- Expertise in prompting and fine-tuning Large Language Models (LLMs) and building production AI Agents
- Proven experience designing scalable data and ML pipelines using tools such as Spark, Airflow, or similar distributed systems
- Demonstrated ability to operate as a senior individual contributor, influencing technical strategy and decision-making without direct authority
- Experience partnering effectively across functions, collaborating with purpose and taking ownership of outcomes in complex organisational environments
- A track record of mentoring and uplifting others, role modelling Respect and Excellence while building inclusive, high-performing teams
- Strong AI fluency, with the ability to independently design, evaluate, and optimise ML systems, and guide others in the responsible and effective application of AI
Benefits
- AI Fluency
- Inclusion at Bumble Inc.
- AI in Bumble Inc. Hiring
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningPythonPyTorchTensorFlowLarge Language Modelsdata pipelinesML pipelinesrecommendation systemsranking modelsnatural language processing
Soft Skills
mentoringcollaborationinfluencingownershipproblem-solvingagile mindsetcuriosityexcellencecommunicationleadership