Staff AI Engineer, SonderMind
$180-210k
More information about location
In-person and online therapy platform
Job no longer available
In-person and online therapy platform
501-1000 employees
Job no longer available
$180-210k
More information about location
501-1000 employees
Company mission
To improve individuals' mental and behavioral health to create a happier and healthier world.
Role
Who you are
- We’re looking for a driven and curious engineer with strong fundamentals in software engineering and machine learning who is excited to apply technical expertise to real-world impact
- Strong computer science and math foundations: data structures, algorithms, linear algebra, probability, optimization
- Solid understanding of machine learning fundamentals: supervised/unsupervised learning, regression/classification, reinforcement learning, loss functions, optimization methods, and neural network basics
- Proven experience fine-tuning large language models for production use
- Proficiency in Python and experience building software in production environments
- Proficiency with Deep Learning frameworks such as PyTorch, TensorFlow, Keras, JAX, etc. and ability to reason about model architectures and training processes
- Experience with production systems and MLOps — ability to design, debug, and maintain reliable software
- Demonstrated experience working with LLM/GenAI APIs and tools (e.g., OpenAI, Anthropic, Hugging Face)
What the job involves
- Join the team that is building the next generation of AI-powered mental health tools
- As a Staff AI Engineer, you will develop advanced multimodal (voice, text, and vision) systems that power our Mental Health AI Coach and Provider Co-pilot—pushing the boundaries of what’s possible in AI while making mental health care more accessible, personalized, and effective
- In this role, you’ll tackle cutting-edge challenges in AI/ML—from fine-tuning large language models to building robust training pipelines—and see your work directly improve the lives of those seeking care
- Design, train, fine-tune, and evaluate machine learning and large language models (LLMs) creating hyper-personalized and highly effective Agentic AI Systems
- Apply context engineering and prompt engineering techniques to optimize model behavior, improve accuracy, and ensure reliability in production
- Develop rigorous evaluation standards that not only measure system performance but also establish the gold standard for efficacy, empathy, and clinical soundness in AI-powered agents
- Contribute to production-grade ML systems, including model deployment, monitoring, and optimization
- Leverage MLOps tools for experiment tracking, model management, and reproducibility
- Collaborate with cross-functional teams to integrate AI into real-world applications, including direct collaboration with clinical partners
- Proactively identify blockers, ask the right questions, and drive projects forward in ambiguous environments
- Mentor and learn within the team—sharing knowledge on ML techniques, fine-tuning and optimization strategies, and engineering practices
- 30 days: Ship a feature or new improvements to AI Agents to production
- 60 days: Lead a cross-team functionality development or propose a performance or scaling or testability improvement
- 90 days: Lead a system-level architectural improvement or completely new deliverable, propose a clear design, implementation, and rollout plan and execute towards the same
Application process
- This position will be an ongoing recruitment process and will be open until filled
Our take
Demand for mental health services in the U.S. is soaring, yet therapeutic services are generally expensive, uniform, and hard to access for the majority of people. This is mainly due to the fact that most mental health practitioners don't accept insurance or work within a healthcare infrastructure.
SonderMind tackles the shortage of accessible mental health services by providing a digital network that matches the specific needs of patients with mental health specialists. What's more, the patient’s insurance coverage network is considered when determining a match, allowing users to find personalized therapeutic services that fit within their budget.
In addition to its therapy recommendation service, Sondermind also provides tools for therapy booking, organization, and billing. Ultimately, the startup has taken an interesting stance within the therapy landscape by focusing on providing personalized and easy-to-use booking services that are flexible within different budgets and insurance plans.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
10% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jul 2021
$150m
SERIES C
Apr 2020
$27m
SERIES B
Total funding: $183.2m
Company benefits
- We work to support our employees wherever they are in life
- We offer health, vision, dental, disability, and mental health coverage
- And beyond that, you're required to take at least three weeks of PTO each year!
Company HQ
Cherry Creek, Denver, CO
Leadership
Mark Frank
(CEO & Co-Founder)Co-founded SafeImageMD in 2012. Former Chairman on the Board of Directors for AfterOurs Urgent Care prior to co-founding SonderMind.
Shouvick Mukherjee
(CTO & Co-Founder)They have extensive experience in engineering and have held many VP roles in various companies, including Yahoo and Walmart eCommerce.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job