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Senior AI Engineer at Talkspace, Inc.

Join the lean Sentia AI team at Talkspace, Inc. to build tee.care, a groundbreaking autonomous behavioral health guide. As a Senior AI Engineer, you will own the reinforcement learning domain, bridging the gap between LLM reasoning and adaptive patient outcomes. Working alongside the CTO and a senior team, you'll tackle high-stakes challenges in human-agent interaction and model alignment at a public company scale with a startup’s speed. If you’re ready to apply advanced RL and multi-agent orchestration to transform global mental healthcare access, this is your chance to lead a critical technical domain from the ground up.

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Talkspace, Inc.

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Location

Remote (United States)

Compensation

$169k-$200k + Equity

Company

Talkspace, Inc.

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Role overview

Join the Sentia AI team at Talkspace, Inc. to design and scale tee.care, an autonomous behavioral health guide. You will own the reinforcement learning domain, developing adaptive intervention strategies that optimize for real patient wellbeing. Working in a high-stakes, mission-driven context, you’ll bridge advanced AI reasoning with scalable, ethical, and empathetic user interactions.

Talkspace, Inc. is a leading provider of virtual mental health care that offers online and mobile therapy services, connecting users with licensed therapists and psychiatrists through web and mobile platforms. It provides messaging therapy, live virtual sessions, psychiatry, medication management, and self-guided tools for individuals, couples, and teens, accessible via subscription and covered by insurers including Medicare.

What you will do

  • Design and implement multi-agent architectures for tee.care, including cognitive planning modules, memory/retrieval systems, and complex tool-use orchestration.
  • Apply advanced reinforcement learning (RL) and control theory to develop adaptive, long-term intervention strategies that maximize positive user health outcomes.
  • Orchestrate LLM fine-tuning and deployment pipelines, focusing on empathetic communication, reasoning quality, and real-time production monitoring for behavioral drift.

Who this is a fit for

  • Has 5+ years of production software experience with at least 3+ years specifically implementing and deploying autonomous systems or complex machine learning models.
  • Demonstrates deep expertise in Reinforcement Learning (RL), including reward modeling, PPO/DPO, and building robust simulation environments for agent policy testing.
  • Possesses mastery of Python and MLOps, with a proven track record of shipping maintainable, high-availability code within cloud-native (AWS/GCP) and containerized environments.

Why this role is remarkable

  • Own a complete technical domain: You will lead the reinforcement learning strategy for tee.care, covering both classical behavioral interventions and modern RLHF/alignment work.
  • High-impact mission: Build autonomous systems that directly improve mental health outcomes for millions, working at the intersection of AI safety, ethics, and behavioral economics.
  • Startup speed with public scale: Join a lean, four-person "Sentia AI" squad within a publicly traded company, offering significant equity and rapid development cycles.

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