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$169,000 – $200,000
Listed on Talkspace’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Talkspace seeks a technical leader to architect and deploy multi-agent AI systems for their behavioral health platform, combining large language models, reinforcement learning, and simulation to create autonomous agents that deliver therapeutic interventions safely and at scale. This role suits experienced ML engineers who want to apply advanced AI theory to production systems with real human impact in mental healthcare.
Our summary, not Talkspace’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Docker
- Kubernetes
- LLM Fine-Tuning
- MLOps
- Multi-Agent Systems
- Prompt Engineering
- Python
- Reinforcement Learning
- Retrieval-Augmented Generation
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What they ask for
Required
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, or a quantitative field
- 5+ years in production software engineering
- 3+ years designing and deploying machine learning or autonomous systems
- Advanced Python proficiency
- Production MLOps experience with CI/CD pipelines for ML models
- Hands-on reinforcement learning and planning algorithm implementation
- LLM fine-tuning and deployment in production
- Cloud infrastructure experience (AWS or GCP)
- Docker and Kubernetes containerization
Nice to have
- Inverse reinforcement learning experience
- Cognitive science or behavioral economics background
- Experience with human-in-the-loop annotation workflows
- Knowledge of agentic AI frameworks