MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
About the role
- Senior ML Scientist at Ada specializing in AI-driven customer support features. Collaborating with PMs, Engineers, and Designers to enhance product outcomes.
Responsibilities
- Own the quality and reliability of the AI features that power our AI Agent platform for customer support
- Partner with Product Managers, Engineers, and Designers to frame problems, design experiments, and make evidence-based decisions
- Deliver simple and highly reusable evaluation and analysis code
- Collaborate with engineers to productionize changes
- Develop a deep understanding of Ada’s product and empathize with our users
Requirements
- 5+ years of industry experience as a Data Scientist, Machine Learning Engineer, or similar with shipped work that moved product metrics
- Deep experience applying large language models to customer problems
- Excellent communicator, able to explain experimental results and complex ML concepts to diverse audiences
- You design reliable experiments and datasets that translate to production impact
- Strong software skills in Python, writing clean, production-ready code and documents
Benefits
- Unlimited Vacation: Recharge when you need to.
- Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance.
- Wellness Account: Empowering you to invest in your overall well-being and lifestyle.
- Employee & Family Assistance Plan: Resources to support you and your loved ones.
- Flexible Work Schedule: Balance your work and personal life.
- Remote-First, In-Person Friendly: Options to work from home or at our local hub.
- Learning & Development Budget: Invest in your long-term growth goals and skills.
- Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience.
- Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry.
- Hands-On with LLMs: Enhance your expertise in leveraging large language models.
- A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology.
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