At a Glance
- Tasks: Join a dynamic team to develop AI-driven insights for Roblox game investments.
- Company: Creator Exchange is revolutionising the Roblox gaming market with data-driven investment strategies.
- Benefits: Enjoy remote work flexibility and the chance to earn equity in a groundbreaking startup.
- Why this job: Shape the future of gaming while working on innovative projects at the intersection of AI and investment.
- Qualifications: A few years of hands-on ML experience and a passion for gaming are essential.
- Other info: Be part of a small, agile team and collaborate directly with the founder.
The predicted salary is between 43200 - 72000 £ per year.
Founding Data and Machine Learning Engineer (Roblox Ecosystem- EQUITY!)
Join to apply for the Founding Data and Machine Learning Engineer (Roblox Ecosystem- EQUITY!) role at Braintrust
Founding Data and Machine Learning Engineer (Roblox Ecosystem- EQUITY!)
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Join to apply for the Founding Data and Machine Learning Engineer (Roblox Ecosystem- EQUITY!) role at Braintrust
Founding Engineer – Roblox Ecosystem Platform
Job Description
Founding Engineer – Roblox Ecosystem Platform
Creator Exchange is the platform behind the first investment fund fully dedicated to acquiring and investing in Roblox games. We use proprietary AI and machine learning to predict which Roblox games will succeed long-term—and acquire them early in their lifecycle.
We’re looking for a passionate Data and Machine Learning Engineer who’s excited to help shape the future of Roblox games and game investing. You’ll take ownership of our monorepo and scraping infrastructure, collaborate with a small senior team, and help us scale our data-driven marketplace for the Roblox economy.
Interview process: 3 interviews + tech asessment
We’re looking for a sharp, business-savvy Data Scientist/ Machine Learning Engineer to join a fast-moving, early-stage team building IP at the intersection of AI and gaming. You’ll work directly with the founder to identify high-potential video games early in their lifecycle using predictive models — think startup-style pace, big vision, and the opportunity to help shape the product and company from the ground up.
We’re not looking for a task-taker. We want a strategic thinker who understands data, knows how to build, and is excited to solve real-world problems that create value. If you have experience in fintech, real estate, or pricing algorithms — even better.
What we’re looking for:
- A few years of strong hands-on ML experience (ideally beyond academia)
- Hustler/founder mindset — you’re not afraid to build, test, and iterate
- Strong critical thinking and business sense
- Passion for or knowledge of the video game space
- Experience with predictive modeling in fintech, real estate, or similar domains is a plus
About Creator Exchange
Creator Exchange is the first marketplace dedicated to buying, selling, and investing in Roblox games. We connect developers, operators, and investors through a data-driven platform that makes it easy to discover undervalued games, analyze performance, and unlock new growth opportunities.
Our platform powers the $10M Roblox Growth Fund , leveraging advanced analytics to identify high-potential games early and invest with precision.
With transparent valuations , predictive modeling, and trustless transaction services , we’re building the financial infrastructure for the next generation of Roblox game creators.
Location: Remote (US or international)
If you\’re passionate about Roblox, engineering, and working on problems at the intersection of gaming, data, and investment—we’d love to hear from you.
Seniority level
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Seniority level
Entry level
Employment type
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Employment type
Full-time
Job function
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Job function
Engineering and Information Technology
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Industries
Technology, Information and Internet
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Founding Data and Machine Learning Engineer (Roblox Ecosystem- EQUITY!) employer: Braintrust
Contact Detail:
Braintrust Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Data and Machine Learning Engineer (Roblox Ecosystem- EQUITY!)
✨Tip Number 1
Familiarise yourself with the Roblox ecosystem and its gaming landscape. Understanding the nuances of game development and player engagement will help you demonstrate your passion and knowledge during interviews.
✨Tip Number 2
Showcase your hands-on experience with machine learning projects, especially those that involve predictive modelling. Be prepared to discuss specific challenges you faced and how you overcame them, as this will highlight your problem-solving skills.
✨Tip Number 3
Network with professionals in the gaming and data science fields. Engaging with communities on platforms like LinkedIn or relevant forums can provide insights into industry trends and may even lead to referrals.
✨Tip Number 4
Prepare for the technical assessment by brushing up on your coding skills and understanding of algorithms. Practising common machine learning problems and their solutions will give you an edge in the interview process.
We think you need these skills to ace Founding Data and Machine Learning Engineer (Roblox Ecosystem- EQUITY!)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and machine learning, particularly any projects related to gaming or predictive modelling. Use specific examples that demonstrate your skills and achievements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the Roblox ecosystem and your understanding of the gaming industry. Explain why you are excited about the opportunity to work with Creator Exchange and how your background aligns with their mission.
Showcase Your Technical Skills: In your application, emphasise your hands-on experience with machine learning and data analysis tools. Mention any specific programming languages or frameworks you are proficient in, especially those relevant to the role.
Prepare for the Interview: Research common interview questions for data and machine learning roles, and be ready to discuss your previous projects in detail. Think about how you can demonstrate your strategic thinking and problem-solving abilities during the interviews.
How to prepare for a job interview at Braintrust
✨Show Your Passion for Gaming
Make sure to express your enthusiasm for the gaming industry, particularly Roblox. Share any personal experiences or projects related to gaming that demonstrate your passion and understanding of the ecosystem.
✨Demonstrate Your Technical Skills
Be prepared to discuss your hands-on experience with machine learning and data engineering. Bring examples of past projects where you applied predictive modelling, especially in fintech or similar domains, to showcase your expertise.
✨Think Strategically
Highlight your ability to think critically and strategically about data. Discuss how you can leverage data to identify high-potential games and create value, aligning with the company's vision of shaping the future of Roblox games.
✨Prepare for Technical Assessments
Since the interview process includes a technical assessment, brush up on relevant algorithms and coding skills. Practice common machine learning problems and be ready to explain your thought process clearly during the assessment.