Roblox is seeking a Senior Machine Learning Engineering Manager to lead technical efforts and manage a team of engineers to develop AI solutions for multimodal content safety. The manager will oversee machine learning systems, construct multimodal model architectures, and improve data quality to address challenges like real-time multi-verse content understanding and advanced moderation.
Requirements
- 5+ years of experience building large-scale machine learning systems in production environments.
- Proven track record of designing, developing, and launching ML models from scratch into production.
- 2+ years of hands-on experience with vision language models or other foundation model technologies.
- Expertise in solving complex ML modeling, data, and infrastructure challenges – with a focus on maintaining high quality and velocity at scale.
- Ability to thrive in ambiguity: you excel at bringing clarity and direction to undefined or open-ended problem spaces.
- Demonstrated success collaborating across functions (e.g. Product, Design, Data, Research), working together to drive meaningful business and user impact.
- Strong product sense: able to establish clear success metrics and craft strategic roadmaps to achieve those goals.
- High emotional intelligence: adept at resolving conflicts, mentoring engineers, and nurturing the growth of your team members.
- Experience with modern microservice architectures and distributed systems programming paradigms (e.g. cloud services, scalable data pipelines).
- Hands-on to dive into code/architecture and guide technical discussions when needed, in addition to high-level planning.
- Creative and strategic problem-solver: able to distill complex issues into simple, innovative solutions that drive impact.
- An owner: you take responsibility for projects and outcomes end-to-end, and instill the same accountability in your team.
- A lifelong learner: constantly seeking new knowledge and techniques to grow your expertise and expand your impact.
- Independent and self-directed: capable of charting a course with minimal guidance, and comfortable making decisions in uncertain situations.
- Highly collaborative: effective at working with cross-functional partners and teams, and skilled at building consensus.
- Committed to diversity & inclusion: dedicated to fostering a workplace where everyone feels valued, supported, and able to contribute.
- Passionate about cutting-edge ML tech: knowledgeable about the latest advances in AI/ML and excited to apply these technologies to keep users safe.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Health Insurance
- Dental Insurance
- Vision Insurance
- Flexible Spending Account
