招聘

Principal Machine Learning Engineer, Engineering Efficiency
San Mateo, CA, United States
·
On-site
·
Full-time
·
1mo ago
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.
Why Engineering Efficiency?
The Engineering Efficiency AI Infrastructure Pod acts as Roblox’s center of excellence for applying AI to software engineering. We develop the Code Intelligence components of the Builder AI Platform, enabling first-party agents to automate engineering toil such as refactoring and unit test generation
At Roblox, we aren't just trying to build another autocomplete tool or a basic LLM wrapper; we are architecting a Code Intelligence platform. Our mission is to move beyond simple code suggestions and into the realm of "agentic reasoning", creating a system that understands the deep, multi-dimensional context of a massive, 20-year-old engine and can autonomously handle the mechanical toil of modern development.
As AI makes it possible to generate code at an unprecedented velocity, our team’s focus shifts from writing code to maintaining quality, safety, and performance at a planetary scale. We are building the reasoning layer and the "Human-in-the-Loop" (HITL) gates that ensure this AI-driven evolution doesn't compromise the stability of a platform serving 100M+ daily active users. We aren't just using the industry standard; we are inventing the new one.
Joining this team means you will be a leader, bridging the gap between our AI teams, Eng Efficiency and Feature devolvement teams. We are looking for a visionary who can build platforms and first-party agents that don't just suggest code, but actually understand how to refactor, tune, and evolve the Roblox ecosystem.
You Will:
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Architect the Reasoning Layer and design systems that allow agents to navigate a billion-line codebase with high precision.
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AI Workload Optimization: Ensure our AI infrastructure is performant and cost-effective as it scales to become our primary compute driver.
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Lead New Techniques: Develop new methods for synthetic data generation and agent evaluations that outperform current industry benchmarks.
You Have:
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Beyond "Off-the-Shelf": We are looking for an expert who can move past basic LoRA or full-parameter fine-tuning to implement Reinforcement Learning from Compiler Feedback (RLCF) and Domain-Specific Distillation.
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Code-Specific Optimization: The goal is to fine-tune models to understand the unique constraints of the Roblox Luau language, our internal APIs, and our proprietary high-performance engine architecture.
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Continuous Learning Loops: Architecting the infrastructure that allows our models to "learn" from every human-corrected diff, ensuring our internal models stay ahead of general-purpose industry standards.
You Are:
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Comfortable with Ambiguity: You thrive in undefined or open-ended problem spaces, providing structure, clarity, and decisive direction to your teams.
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A Pragmatic Builder: You are scrappy and impact-oriented. You view undefined data and messy systems as opportunities to build structure rather than blockers to progress.
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An Inspiring Leader: Passionate about developing the next generation of technical leaders, managers, and engineers.
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An Executive Communicator: Highly effective at communicating complex technical concepts to both engineering teams and non-technical executive leadership.
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Data & System Oriented: You understand that robust data and systems are the foundation of any production application, and you design infrastructure for scale, correctness, and reliability.
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Curious & Creative: You enjoy tackling hard problems, exploring new technologies, and driving continuous improvements in both systems and workflows.
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**$345,040—$399,420 USD**
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.
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关于Roblox

Roblox
PublicReimagining the way people come together.
1,001-5,000
员工数
San Mateo
总部位置
$16.4B
企业估值
评价
3.8
38条评价
工作生活平衡
3.6
薪酬
3.7
企业文化
4.0
职业发展
3.7
管理层
3.8
73%
推荐给朋友
优点
Opportunity for career growth
Supportive team and management
Interesting projects and challenges
缺点
Internal communication could improve
Room for improvement in processes
Some organizational bureaucracy
薪资范围
33个数据点
Junior/L3
L3/New Grad
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Science - New Grad
1份报告
$280,000
年薪总额
基本工资
-
股票
-
奖金
-
$280,000
$280,000
面试经验
3次面试
难度
3.0
/ 5
时长
14-28周
体验
正面 0%
中性 67%
负面 33%
面试流程
1
Application Review
2
Online Assessment
3
Technical Interview
4
Behavioral Interview
5
Onsite/Virtual Interviews
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Problem Solving
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