Senior Machine Learning Engineer, Safety Core Data
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Job Location:
San Mateo, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
Why Safety
At Roblox we strive to connect a billion people with optimism and civility and the Safety organizations mission is to become the leader in civil immersive online communities. We systematically and proactively work to detect remove and prevent problematic content and behavior. We seek to influence and shape the product roadmap and prioritization build safety products and measure our impact on the community of users and doing so we help keep Roblox safe civil and inclusive fostering positive relationships between people around the world.
Why Safety Core Data
Safety data is one of the hardestand most impactfulfrontiers in machine learning and in this role youll advance large-scale AI systems that safeguard platform integrity and user trust by building our Safety Foundation Model. Youll leverage state-of-the-art multimodal models to create intelligent tooling for curating training and evaluation data enabling continuous improvement and proactive real-time mitigation of safety risks. Operating at the intersection of foundation models agents synthetic data and platform safety youll help design the core infrastructure that allows models to learn from real-world errors through a ship-often feedback-driven MLOps discipline.
As a senior machine learning engineer youll work hands-on with cutting-edge systems alongside experienced ML and Infra engineers product managers policy and safety experts to define technical standards and best practices for the next generation of safety AI translating complex safety challenges into scalable high-impact machine learning solutions. Your contributions will directly power production-grade moderation detection and enforcement systems helping keep the platform secure inclusive and resilient.
You Will
- Design build and own core components of our Safety AI Systems powering large-scale safety data generation labeling and evaluation with a focus on reliability scalability and performance.
- Fine-tune open-weight multimodal LLMs (text image video and voice) and deploy them as agents to generate synthetic datasets and perform high-quality automated labeling at scale.
- Build robust pipelines for curating and evaluating multimodal training data including human-in-the-loop systems that enable safe compliant and continuously improving AI.
- Develop benchmarks and evaluation frameworks to measure multimodal model behavior data quality and downstream safety impact.
- Architect systems that support continuous learning enabling weekly gated rollouts and tight feedback loops from real-world failures.
- Partner closely with engineers product managers policy experts and safety specialists to translate complex safety challenges into scalable production-grade AI solutions.
- Help define best practices technical standards and data culture for next-generation safety AI building foundational systems from the ground up and driving impact quickly.
You Have
- 5 years of experience designing building and deploying large-scale machine learning systems in production environments.
- A graduate degree or equivalent experience in Computer Science Engineering or a related technical field.
- Strong communication skills and a collaborative solution-oriented approach to problem solving.
- Hands-on experience with fine-tuning VLMs LLMs or large multimodal models to improve model quality safety and performance is a plus.
- Experience working with data quality evaluation synthetic data or ML infrastructure in safety systems is a plus.
You Are
- Data & System Oriented: You understand that robust data and systems are the foundation of any production applications and you design infrastructure for scale correctness and reliability.
- Collaborative: You thrive in cross-functional teams partnering effectively with Product and Engineering to solve complex challenges.
- Curious & Creative: You enjoy tackling hard problems exploring new technologies and driving continuous improvements in both systems and workflows.
- Impact Driven: You focus on outcomes - prioritizing product impact reliability and measurable success over code volume or complexity.
Required Experience:
Senior IC
Key Skills
- Databases
- Embedded Software
- IDS
- System Design
- C/C++
- Military Experience
- Risk Analysis
- Systems Engineering
- Waterfall
- Requirements Management
- OSHA
- EHS
About Company
Roblox is the ultimate virtual universe that lets you create, share experiences with friends, and be anything you can imagine. Join millions of people and discover an infinite variety of immersive experiences created by a global community!
