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About The Company
Join our innovative team at Bumble, a leading platform in the online dating industry committed to transforming how people connect and build relationships. We are dedicated to leveraging cutting-edge technology, particularly artificial intelligence and machine learning, to create engaging, personalized, and meaningful experiences for our users worldwide. Our company values creativity, agility, and a forward-thinking approach, fostering an environment where innovation thrives and impact is tangible. As part of Bumble, you will contribute to shaping the future of online connections through advanced AI-driven solutions that prioritize user safety, authenticity, and inclusivity.
About The Role
We are seeking a talented and motivated Machine Learning Engineer to join our dynamic team. In this role, you will be instrumental in developing next-generation AI-powered features that enhance our platform’s capabilities. You will work closely with cross-functional teams, including product managers, data scientists, and MLOps engineers, to design, implement, and optimize scalable machine learning models. Your expertise will help us deliver innovative solutions that improve user engagement and safety while maintaining high performance and reliability. This position offers an exciting opportunity to be at the forefront of AI innovation within a fast-paced, collaborative environment dedicated to redefining online dating experiences.
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Qualifications
- Advanced degree in Computer Science, Mathematics, or a related quantitative discipline
- Proven experience in deploying machine learning models to production at scale
- Strong programming skills in Python, with experience in writing production-quality code
- Hands-on experience with ML frameworks such as PyTorch or TensorFlow
- Familiarity with modern LLM deployment frameworks and libraries like HuggingFace TGI, VLLM, TensorRT-LLM, or similar
- Understanding of ML development lifecycle, including CI/CD, version control (git), testing, and monitoring
- Experience working with Docker and containerized applications
- Knowledge of deploying high-load ML applications on container orchestrators such as Kubernetes (bare-metal, GKE, EKS)
- Understanding of GPU workloads, NVIDIA drivers, and container runtimes
- Strong communication skills and ability to collaborate effectively with technical and non-technical stakeholders
- Passion for AI and Machine Learning, with a focus on fairness, accountability, and transparency
Responsibilities
- Contribute to the development of innovative AI-powered features within our applications
- Collaborate with cross-functional teams to identify user needs and design suitable ML solutions
- Optimize and scale machine learning models for performance and efficiency in production environments
- Mentor and guide team members on best practices in ML engineering
- Stay current with the latest advancements in AI and ML to drive continuous innovation
- Work with MLOps teams to streamline deployment pipelines and monitor model performance
- Implement and maintain containerized ML applications using Docker and Kubernetes
- Ensure high availability and low latency of AI services under high load conditions
- Participate in code reviews, testing, and documentation to uphold quality standards
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Benefits
- Competitive salary and performance-based bonuses
- Comprehensive health, dental, and vision insurance plans
- Flexible working hours and remote work options
- Opportunities for professional development and continuous learning
- Collaborative and inclusive work environment
- Access to cutting-edge AI tools and technologies
- Generous paid time off and holiday leave
- Participation in innovative projects shaping the future of online dating
Equal Opportunity
We are an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to creating a workplace where everyone feels valued, respected, and empowered to contribute their best. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected characteristic.
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