Applied Research Engineer, Agents
$250k/y-$300k/y
Labelbox2 days ago
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HybridFull-timeMid
Summary
Labelbox is seeking an Applied Research Engineer, Agents to join their team in the San Francisco Bay Area. The role focuses on advanced AI research and real product impact, particularly in developing data for modern agents.
About the Role
As an Applied Research Engineer at Labelbox, you will create frameworks and tools for training and evaluating autonomous agent capabilities, design data programs using supervised fine-tuning and reinforcement learning, and develop data pipelines from diverse sources. You will engage with research teams and collaborate with customers to guide model development and publish research findings.
About You
Required:
- Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or related field.
- At least 3 years of experience addressing sophisticated ML problems with successful delivery to customers.
- Experience building and training autonomous agents across browsers/GUI, codebases, and databases using SFT and RL.
- Proficient in Python, data science libraries and deep learning frameworks (e.g., PyTorch, JAX, TensorFlow).
- Strong analytical and problem-solving abilities in ambiguous situations.
Preferred:
- Constructed and evaluated agentic benchmarks and reliability/efficiency suites.
- Adept at interpreting research literature and quickly turning new ideas into prototypes.
- Track record of publications in top-tier AI/ML venues.
Benefits
- Hybrid work model with 2 days per week in the office.
- Career advancement opportunities directly tied to your impact.
- Fast-paced and high-intensity environment.
Labelbox
Labelbox is the data factory for leading AI labs and AI-powered enterprises. Innovate faster using Labelbox’s on-demand expert labeling services and unified software to deliver high-quality, frontier data with control and speed.
San Francisco Bay Area