Machine Learning Engineer developing and maintaining AI models for defense technology at Booz Allen. Collaborating with cross - functional teams to implement innovative solutions for national security.
About the role
- Staff Machine Learning Engineer developing AI and ML solutions for Headspace's mental health platform. Leading the creation of personalized features and supporting holistic user experience.
Responsibilities
- Lead the development of recommender systems for Headspace meditation & mindfulness content
- Build high quality features that improve members’ lives
- Contribute to the design, development, and evolution of our AI systems
- Partner with our team of software engineers, ML engineers, and MLOps engineers
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
- comprehensive healthcare coverage
- monthly wellness stipend
- retirement savings match
- lifetime Headspace membership
- generous parental leave
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