Machine Learning Systems Engineer (Staff/Senior)
Description For Machine Learning Systems Engineer (Staff/Senior)
Abridge, founded in 2018, is revolutionizing healthcare with its AI-powered platform for medical conversations. As a Machine Learning Systems Engineer (Staff/Senior), you'll be at the forefront of developing and implementing high-quality machine learning software applications, infrastructure, and tools. You'll collaborate with researchers and engineers to deploy algorithms, work on system design, and optimize performance.
Key responsibilities include:
- Architecting and implementing ML software applications and tools
- Leading technical domains from problem definition to maintenance
- Collaborating with ML researchers and engineers
- Creating reusable software to accelerate development
- Profiling, tuning, and optimizing system performance
Requirements:
- 5+ years of industry software development experience
- Bachelor's degree or higher in Computer Science or related field
- Proficiency in languages like C++, Python, or Java
- Experience with cloud environments, Kubernetes, and Infrastructure as Code
- Strong understanding of operating systems concepts and ML systems
This role offers a competitive salary range of $200K – $265K, equity, and comprehensive benefits including unlimited PTO, 16 weeks paid parental leave, and flexible working hours. You'll be part of a diverse, mission-driven team working to improve healthcare delivery experiences.
Abridge values diversity and inclusion, actively welcoming applicants from all backgrounds. The position requires a hybrid work model with 2-3 days per week in either the San Francisco or New York office, and up to 10% travel for team retreats. Join Abridge to make a significant impact in healthcare technology and grow your career in a supportive, innovative environment.
Responsibilities For Machine Learning Systems Engineer (Staff/Senior)
- Architect, design, and implement high-quality machine learning software applications, infrastructure, and tools
- Lead technical domains from problem definition to maintenance
- Collaborate with machine learning researchers and engineers to implement and deploy algorithms
- Work with stakeholders to iterate on systems design and implementation
- Create re-usable software and systems to accelerate development
- Profile, tune, and optimize system performance and debug production issues
- Design systems for fault tolerance, scalability, security and continuous improvement
Requirements For Machine Learning Systems Engineer (Staff/Senior)
- 5+ years of industry software development experience
- Bachelor's Degree or greater in Computer Science/Engineering, Statistics, Mathematics, or equivalent
- Proficient in developing production-quality software in languages such as C++, Python, or Java
- Experience with cloud based environments, Kubernetes or Docker, and Infrastructure as Code
- Experience in software design and architecture for highly available machine learning systems
- Excellent understanding of low level operating systems concepts
- Excellent interpersonal and written communication skills
Benefits For Machine Learning Systems Engineer (Staff/Senior)
- Unlimited PTO
- 16 weeks paid parental leave
- Flexible working hours
- Equity for all new employees
- Generous equipment budget for home office setup ($1600)
- Comprehensive health benefits
