ML Platform Engineer
4 weeks ago
Abridge is seeking a highly skilled ML Platform Engineer to join our team and help us scale our AI infrastructure. As a key member of our engineering team, you will be responsible for designing, implementing, and deploying machine learning models at scale.
Our ideal candidate has a strong background in Python, Kubernetes, and cloud environments, with experience in building scalable ML infrastructure. If you have a passion for AI, a growth mindset, and a desire to work with a talented team of engineers and scientists, we encourage you to apply.
Key Responsibilities- Design and implement scalable ML software systems for deploying and managing models at scale.
- Stand up ML models for inference, starting with critical models like the 'linkages' model, and ensure they are capable of handling traffic increases.
- Develop and maintain infrastructure that supports efficient ML operations, including model evaluations, deployments, and training at scale.
- Collaborate closely with ML researchers, engineers, and cross-functional teams to ensure seamless integration of models with services like Zoom and Athena.
- Work with stakeholders across machine learning and operations teams to iterate on systems design and implementation.
- Optimize and maintain the performance of ML systems to ensure high availability, fault tolerance, and smooth scalability.
- Troubleshoot production issues and continuously improve systems to enhance performance and efficiency.
- A competitive salary range of $200,000 - $265,000 per year, plus equity.
- A comprehensive benefits package, including medical, dental, and vision insurance, as well as flexible PTO and a 401(k) plan.
- The opportunity to work with a talented team of engineers and scientists on a mission-driven project that is making a real impact in healthcare.
- A flexible work environment, with the option to work from home or in our SF office.
- Professional development opportunities, including training and education budget, and the chance to attend industry conferences and events.
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