Aimed at senior machine learning engineers with leadership experience who are passionate about safety systems and large-scale ML models.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Roblox
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.
At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
As a Distinguished Machine Learning Engineer/Technical Director in the Safety organization at Roblox, you will drive the overall technical vision and execution for all machine learning initiatives focused on maintaining the safety and civility of our users. Our industry-leading safety features ensure Roblox remains a safe and inclusive environment for our community to express themselves creatively and share experiences without fear. The Safety org is the reason why Roblox is the safest place on the internet, protecting users You will provide technical leadership on AI/ML efforts for Trust and Safety as the Roblox platform scales to serve different age groups and geographic locations.
You Will:
Own the technical direction and implementation of machine learning solutions for safety-related systems
Lead and mentor other engineers, fostering a culture of technical excellence and inclusivity
Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement
Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness
Facilitate challenging technical decisions across multiple teams, demonstrating empathy and finding common understanding
Collaborate with cross-functional teams to define and prioritize the machine learning roadmap
You Have:
10+ years of experience delivering and improving large-scale machine learning systems
Proven expertise in creating and launching machine learning models from scratch
Ability to handle data problems, train models with large datasets, and ensure system reliability at scale
Experience with distributed systems, data architecture, and model extraction
Strong programming skills and willingness to be hands-on as necessary
Prior experience in a leadership role with a technical focus, including mentoring engineering teams
You Are:
A creative and strategic problem-solver, able to simplify complex issues while integrating fresh ideas
Committed to fostering a diverse and inclusive workplace where everyone feels valued and supported
Passionate about maintaining deep technical expertise while meeting end-user needs
Knowledgeable about cutting-edge ML technologies, including LLMs
Experienced in NLP or computer vision (preferred)
Familiar with maintaining and evolving safety systems at scale (preferred)
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.
Annual Salary Range$399,420—$457,970 USDRoles 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.
Source: Roblox careers