2 months ago
Base Salary
$162k - $250k/yr
Responsibilities
- Lead the development of complex, scalable AI models and applications from inception to production.
- Drive impactful ML technology initiatives that shape mental healthcare delivery.
- Serve as a go-to expert and mentor in AI/ML engineering.
- Drive the design, development, and evolution of the internal ML platform.
- Partner with cross-functional teams to align technical decisions with organizational goals.
Requirements
- Master’s degree or higher in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience.
- 8+ years of ML engineering experience in an academic or professional setting, programming in Python.
- 8+ years of experience with fundamental technologies such as vector search, embedding models, and recommender systems.
- 5+ years of experience with modern NLP tools and machine learning libraries like scikit-learn and TensorFlow.
- Experience with unit, integration, and end-to-end testing, and version control.
- Strong problem-solving and communication skills, with the ability to influence across organizations.
- Mentorship experience of junior engineers and contribution to DEIB initiatives.
Benefits
- Competitive pay and benefits that support your whole self.
- Comprehensive healthcare coverage.
- Monthly wellness stipend.
- Retirement savings match.
- Lifetime Headspace membership.
- Generous parental leave.