Level

Roblox

[2027] Data Scientist - PhD Intern

Roblox is hiring a [2027] Data Scientist - PhD Intern in San Mateo, United States. It pays $66/hr and Level rates it ; you can apply on Level.

AI in this role

Research and develop advanced machine learning and data analytics solutions as a PhD intern.

pythonpytorchtensorflow
ai-evaluationmachine-learningstatistical-modelingcausal-inferencedata-analysis

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.

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of 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, causal inference, economics, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive toolbelt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. 

Teams Hiring for this role:

  • Foundation AI: Our AI evaluation team focuses on generating high-quality models and consistently improving our evaluation models.
  • Safety: Managing account relationships and the real-time morphing of linguistic mapping.
  • Economy: Drive creator success and growth by exploring marketplace structure and pricing.
  • Engine: This team is dedicated to enhancing Roblox's overall stability and performance, enabling all its functionalities.
  • Social: Analyze user engagement to identify areas for enhancing the user experience and delivering greater value.
  • Consumer/Growth: Optimize our user’s experience and provide them with UX and content to maximize intention and engagement on the platform.
  • Creator/Ads and Brands: Understand the long term value and contribution Creators have to the health of Roblox’s ecosystem 

You Will:

  • Collaborate with data scientists and engineers to research and develop advanced data analytics, causal inference, experiment design and machine learning solutions to power the business and product innovations. 
  • Conduct in-depth research to address complex data-related challenges.
  • Work on projects that have a real impact on our products, services, and business strategy.
  • Apply your work to expedite product innovations, including in-experience experiments, friend recommendations, and dynamic resource allocation for experience servers
  • Present your findings and recommendations to both technical and non-technical stakeholders.

You Have:

  • Possessing or pursuing a PhD degree in a quantitative field such as Statistics, Applied Math, Computer Science, Economics, or Computational Social Science.
  • At least 1 year of experience doing causal inference or machine learning or experiment design via research or prior internship.
  • Proficiency in one or more programming languages (e.g.,SQL,Python or R)
  • Proficiency in big data query/processing languages and tools such as SQL, Hive, Spark, or Airflow.
  • Passion for applying scientific rigor to advance dynamic consumer products.
  • Experience in developing production solutions is a plus.
  • Experience with ML modeling

You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.

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 hourly rate could fall outside of this expected range. This pay range is subject to change and may be modified in the future. Please note that not all benefits shown on this page are applicable to internship opportunities.

Hourly Pay Range$66—$66 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.

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.

How we rate this

[2027] Data Scientist - PhD Intern at Roblox rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI EvaluationMachine learningStatistical ModelingCausal InferenceData AnalysisPythonPyTorchTensorFlow

Questions you could be asked

  1. How do you decide that one model's output is better than another's for a given task?
  2. Tell me about a project where machine learning was part of your work. What did you do?
  3. Tell me about a project where statistical modeling was part of your work. What did you do?
  4. Tell me about a project where causal inference was part of your work. What did you do?
  5. Tell me about a project where data analysis was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Evaluation, Machine learning, Statistical Modeling, Causal Inference, and Data Analysis. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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