Senior Applied Scientist, Behavior AI

What you'll do

• Design and build custom mid-size models for high-throughput stream processing.
• Optimize model performance by finding mathematical reformulations that fit hardware and software constraints.
• Build training data pipelines from raw streams to training-ready datasets when they do not exist.
• Integrate models into production with a focus on GPU utilization, latency, and cost per record.
• Develop an agentic layer to analyze, validate, and act on model outputs.
• Create lightweight interpretability tools to make model behavior explainable to end users.
• Maintain and monitor the models, services, and infrastructure while participating in on-call rotations.

What we're looking for

• Hold a BS, MS, or PhD in Computer Science, Engineering, Machine Learning, Applied Mathematics, or a related scientific field.
• Possess hands-on experience training and fine-tuning models at scale for production systems with real throughput and cost constraints.
• Demonstrate a working knowledge of GPU operations and a track record of optimizing models for hardware constraints.
• Possess strong fundamentals in applied mathematics to design and optimize models.
• Exhibit a passion for the intersection of applied mathematics, software design, and implementation.
• Ability to write high-quality production code and build data pipelines alongside model development.
• Communicate complex ideas and trade-offs clearly to engineers and product partners.
• Experience with efficient sequence architectures, model interpretability, or large-scale streaming systems is a plus.