Lead the development of complex, scalable AI models and applications from inception to production.
Drive impactful ML technology initiatives that will shape the delivery of and access to mental healthcare.
Partner with cross-functional teams to align technical decisions with organizational goals, ensuring cohesive and impactful solutions.
Advocate for and contribute to high-quality engineering standards through rigorous code reviews and constructive, actionable feedback.

Requirements

Bachelor of Science degree or higher in Computer Science, Statistics, Mathematics or a related field OR equivalent experience
5+ years of ML engineering experience in an academic or professional setting, programming in Python
5+ years of experience with any of the following fundamental technologies: vector search, embedding models, recommender systems, supervised, unsupervised machine learning, deep learning, reinforcement learning, LLM orchestration, RAG systems.
3+ years of experience with modern NLP tools and machine learning libraries (scikit-learn, PyTorch, TensorFlow, spaCy)
Experience with unit, integration, and end-to-end testing, version control
Strong problem solving and communication skills and ability to influence across internal organizations
Mentorship of junior engineers and contribution to DEIB initiatives

Benefits

base salary
stock awards
comprehensive healthcare coverage
monthly wellness stipend
retirement savings match
lifetime Headspace membership
generous parental leave

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdeep learningreinforcement learningnatural language processingPythonvector searchembedding modelsrecommender systemsscikit-learnPyTorch

Soft Skills

problem solvingcommunicationinfluencementorshipcollaborationfeedbackadvocacy