Machine Learning Engineer
San Francisco, CA$150k - $189kFull-timePosted 1w ago
About the role
Machine Learning Engineer I on the Growth Relevance team focusing on lifecycle optimization, personalized notifications, and monetization through ML systems, with emphasis on responsible AI practices.
Responsibilities
- Innovator: Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization — with guidance from senior engineers.
- Collaborator: Partner with senior engineers, data scientists, and product managers to develop and iterate on machine learning models that improve product features and user experience.
- Learner: Grow technical depth by working alongside experienced ML practitioners, picking up best practices in model development, experimentation, and production deployment.
Qualifications
- Bachelor’s degree in Computer Science, Data Science, or a related field
- 1-3 years of experience in machine learning, data science, or a related area
- Proficient in Python, with hands-on experience in frameworks such as scikit-learn, PyTorch, or TensorFlow
- Experience with deploying and evaluating agentic workflows
- Strong foundation in core ML concepts, including classification, regression, ranking, and model evaluation
Skills
Required:Machine LearningPythonFrameworks (scikit-learn, PyTorch, TensorFlow)
Benefits
- Equity in a fast-growing company
- 401(k) match, competitive compensation, financial coaching
- Paid parental leave, fertility benefits, parental coaching
- Medical, dental, and vision, mental health support, $500 wellness stipend
- $2,000 learning stipend, ongoing development
- Internet, commuting, and free lunch/gym in our SF office
Last updated Oct 15, 2026. Interested? Apply on the company site.
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