Senior Machine Learning Engineering Manager, Safety AI Systems

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.

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.