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Senior Machine Learning Engineering Manager
Roblox · San Mateo, CA, United States
About The Role
Join Roblox as a Senior Machine Learning Engineering Manager, where you'll lead technical efforts and manage a team of experienced engineers to develop innovative AI solutions for multimodal content safety. You'll oversee machine learning systems, collaborate with various teams, and ensure Roblox remains a safe and inclusive space for self-expression and shared experiences.
- Lead technical efforts and manage a team of experienced engineers to develop innovative AI solutions for multimodal content safety.
- Oversee machine learning systems, constructing multimodal model architectures, improving data quality, training pipelines, and model performance.
- Collaborate cross-functionally with Product, Data Science, Policy, Design, and Operations partners to define and prioritize the machine learning roadmap for multimodal safety initiatives.
- Proven track record of designing, developing, and launching ML models from scratch into production
- Independent and self-directed: capable of charting a course with minimal guidance, and comfortable making decisions in uncertain situations
- An owner: you take responsibility for projects and outcomes end-to-end, and instill the same accountability in your team
- Passionate about cutting-edge ML tech: knowledgeable about the latest advances in AI/ML and excited to apply these technologies to keep users safe
- A lifelong learner: constantly seeking new knowledge and techniques to grow your expertise and expand your impact
- Experience with modern microservice architectures and distributed systems programming paradigms (e.g. cloud services, scalable data pipelines)
- Expertise in solving complex ML modeling, data, and infrastructure challenges – with a focus on maintaining high quality and velocity at scale
- Creative and strategic problem-solver: able to distill complex issues into simple, innovative solutions that drive impact
- Ability to thrive in ambiguity: you excel at bringing clarity and direction to undefined or open-ended problem spaces
- Strong product sense: able to establish clear success metrics and craft strategic roadmaps to achieve those goals
- Hands-on to dive into code/architecture and guide technical discussions when needed, in addition to high-level planning
- Demonstrated success collaborating across functions (e.g. Product, Design, Data, Research), working together to drive meaningful business and user impact
- 2+ years of hands-on experience with vision language models or other foundation model technologies
- High emotional intelligence: adept at resolving conflicts, mentoring engineers, and nurturing the growth of your team members
- Committed to diversity & inclusion: dedicated to fostering a workplace where everyone feels valued, supported, and able to contribute
- 5+ years of experience building large-scale machine learning systems in production environments
- Highly collaborative: effective at working with cross-functional partners and teams, and skilled at building consensus
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