TL;DR

Senior Machine Learning Engineer (AI/LLM): Designing and building large-scale AI systems for platform safety by leveraging multimodal LLMs to curate data and mitigate risks. Focus on architecting continuous learning pipelines, fine-tuning foundation models, and integrating AI solutions for real-time moderation.

Location: This is a hybrid role based in San Mateo, CA, United States, requiring onsite presence Tuesday, Wednesday, and Thursday.

Salary: $242,100–$293,800 USD

Company

%hirify_global% is a product company focused on connecting people in 3D immersive digital experiences, empowering a global community of developers and creators.

What you will do

Design, build, and own core components of Safety AI Systems for data generation, labeling, and evaluation, focusing on reliability and scalability.
Fine-tune open-weight multimodal LLMs (text, image, video, voice) and deploy them as agents for synthetic datasets and high-quality automated labeling.
Build robust pipelines for curating and evaluating multimodal training data, including human-in-the-loop systems.
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.

Requirements

5+ years of experience designing, building, and deploying large-scale machine learning systems in production environments.
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.

Nice to have

Experience working with data quality, evaluation, synthetic data, or ML infrastructure in safety systems.

Culture & Benefits

Strive to connect a billion people with optimism and civility, with a mission to lead in civil immersive online communities.
Work to shape the future of human interaction, solving unique technical challenges at scale.
Foster positive relationships by keeping the platform secure, inclusive, and resilient.
Collaborative, curious, creative, and impact-driven work environment.
All full-time employees are eligible for equity compensation and comprehensive benefits.
%hirify_global% provides equal employment opportunities and reasonable accommodations to candidates with qualifying disabilities or religious beliefs.