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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
This role leads the development of autonomous AI agents that support Talkspace's mental health platform, focusing on multi-agent systems, reinforcement learning, and large language model integration. It suits experienced machine learning engineers who want to apply advanced AI techniques to real-world behavioral health challenges with a strong emphasis on safety and ethical deployment.
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
- 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 highly quantitative field
- 5+ years production software engineering experience
- 3+ years designing and deploying complex machine learning or autonomous systems
- Mastery of Python and scientific libraries
- Production MLOps expertise with CI/CD pipelines for ML models
- Strong understanding and practical application of reinforcement learning or planning algorithms
- Hands-on experience fine-tuning and deploying LLMs in production
- High-quality, maintainable, scalable production code
- Proficiency with cloud infrastructure (AWS or GCP)
- Containerization experience (Docker, Kubernetes)
Nice to have
- Experience with inverse reinforcement learning or advanced control theory methods
- Knowledge of human-agent interaction modeling
- Familiarity with cognitive science or behavioral economics principles
- Experience building simulation environments for agent testing