Senior Machine Learning Engineer at Bumble developing scalable AI systems for personalized user interactions. Leading machine learning model development and deployment from exploration to production.
About the role
- Machine Learning Engineer building tools and systems for AI engineers at SimplePractice. Focused on creative problem-solving and hands-on technical work in healthcare tech.
Responsibilities
- Develop & Deploy ML Platform
- Build end to end solutions to ensure consistent tooling and governance for LLM/AI feature development
- Ability to design well-structured and performant RESTful APIs, including defining clear endpoints, request/response formats, and error handling.
- Work closely with Engineering, and other internal stakeholders of ML platform to develop platform roadmap
- Properly communicate timeline, milestones, and progress w/ internal stakeholders
- Drive stakeholder engagement, enablement and education to ensure the platform is well integrated into AI dev workflow
- Guide less experienced team members, sharing knowledge on model development, MLOps, and data engineering
- Champion a culture of experimentation, continuous learning, and proactive problem-solving
- Stay current with emerging ML tools and technologies, integrating new techniques that elevate our product capabilities
- Look for creative ways to leverage data to make clinicians’ lives easier, more efficient, and more effective
Requirements
- BS or above in Computer Science or a related technical field
- 5+ years of experience in software development, ideally on dev tools, with Python expertise for a part of your career
- Have experience with ML/LLM. Familiar with ML model workflow, from ideation, prototyping to deployment
- Proficiency in building data pipelines and tooling for ML feature pipelines
- Experience with AWS (or other cloud platforms) for model deployment
- Comfort working with remote teams, using GitHub, Slack, Notion, and Zoom
- Proficiency in English with strong communication and collaboration skills
Benefits
- Privatized Medical, Dental & Vision Coverage
- Work From Home stipend
- Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
- Monthly Meal Reimbursement
- Holiday Bonus, 15-day Aguinaldo
- Hybrid Work Schedule & Catered Lunch
- A relocation bonus for candidates joining us from a different city
- Employee Resource Groups (ERGs)
- Annual bonus
Job title
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Not specified
Degree requirement
Tech skills
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