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求人Roblox

Senior Data Scientist - Generative AI

Roblox

Senior Data Scientist - Generative AI

Roblox

San Mateo, CA, United States

·

On-site

·

Full-time

·

1mo ago

報酬

$220,300 - $262,380

福利厚生

Equity

Healthcare

必須スキル

SQL

Python

R

Statistical analysis

Causal inference

Experimentation

Metric design

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 DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnered with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and craft the product roadmap, and prioritize, build data products, and measure impact on our community of players and developers.

WHY GENERATIVE AI?

Our team’s mission is twofold: to enable Roblox Creators to bring GenAI capabilities to millions of users, and to empower Roblox Creators and our own engineers with AI-backed tools to deliver value faster. We drive this innovation with a core commitment to safety, responsibility, and quality.

As a Senior Data Scientist, you will play a critical role in one of two key focus areas:

  • GenAI Product: Evaluation and optimization for user-facing GenAI systems (such as text, image, video, 3D, 4D)

  • Engineering Efficiency and Code Intelligence: Building the metrics, analytics, experimentation foundation, and AI workflow that powers how Roblox engineers and creators build and ship with AI and intelligent code systems.

Whether you are focused on the end-user experience or the developer ecosystem, you will define how we measure safety, responsibility, quality, and efficiency. You will combine annotation analysis, design of experiments, causal inference, model-based evaluation methods (such as LLM-as-a-judge), optimization algorithm, and AI models to drive product decisions and model improvements.

You Will:

  • Develop Evaluation Frameworks: Design and operationalize rigorous evaluation systems for either GenAI features (text, image, video, 3D, 4D) or internal AI Agents (Code Review, Refactor, Test Gen). This includes eval experiment design, dataset design, label reliability analysis, and implementing and finetuning LLM-as-judge methods.

  • Run Rigorous Experiments: Conduct online experiments (A/B tests) and causal inference to quantify the impact of GenAI features or AI-assisted coding tools. You will identify opportunities, measure lift, and ensure statistical rigor.

  • Define Success Metrics: Partner with cross-functional teams to define leading/lagging indicators—whether for GenAI safety and user satisfaction, or for engineering productivity and code health.

  • Build Automated Systems: Research and apply state-of-the-art methodologies to build reproducible evaluation tooling and agentic workflows that lift rigor and efficiency across the company.

  • Drive Strategy & Visibility: Develop dashboards and reporting frameworks that reveal trends (e.g., model performance or developer friction) and translate complex data into clear, prioritized recommendations for leadership.

You Have:

  • Advanced Degree: PhD or Master’s in Statistics, Economics, Computer Science, Applied Math, Physics, Engineering, or a related quantitative field.

  • Experience: 5+ years of experience in data science, analytics, or a quantitative role.

  • Technical Proficiency: Strong proficiency in SQL (Hive/Spark) for manipulating large datasets and scripting languages (Python or R) for analysis and modeling.

  • Experimentation and Causal Inference: A solid grounding in experimentation, causal inference, and statistical analysis, including test design and metric design for feature impact.

  • Problem Solving: A demonstrated track record of framing ambiguous problems, designing analytical approaches, and solving open-ended data science problems that drive business impact.

  • Learning Agility: Ability to effectively and responsibly use AI tools to enhance productivity and a passion for continuously improving methods in a fast-evolving field.

  • GenAI Familiarity: Familiarity with GenAI models and safety/quality evaluation methods. Expertise in the model training lifecycle is a plus (e.g., fine-tuning, RLHF, or synthetic data generation).

  • Engineering Development Workflow: Experience with engineering development workflows and engineering efficiency data is a plus for the Engineering Efficiency and Code Intelligence role.

  • Applied Research Background: A track record of applied research or publications in relevant technical fields is highly valued.

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**$220,300—$262,380 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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Robloxについて

Roblox

Roblox

Public

Reimagining the way people come together.

1,001-5,000

従業員数

San Mateo

本社所在地

$16.4B

企業価値

レビュー

3.8

38件のレビュー

ワークライフバランス

3.6

報酬

3.7

企業文化

4.0

キャリア

3.7

経営陣

3.8

73%

友人に勧める

良い点

Opportunity for career growth

Supportive team and management

Interesting projects and challenges

改善点

Internal communication could improve

Room for improvement in processes

Some organizational bureaucracy

給与レンジ

33件のデータ

Junior/L3

L3/New Grad

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Science - New Grad

1件のレポート

$280,000

年収総額

基本給

-

ストック

-

ボーナス

-

$280,000

$280,000

面接体験

3件の面接

難易度

3.0

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 67%

ネガティブ 33%

面接プロセス

1

Application Review

2

Online Assessment

3

Technical Interview

4

Behavioral Interview

5

Onsite/Virtual Interviews

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Problem Solving