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Machine Learning Systems Engineer
2 months ago
Abridge is seeking a highly skilled Machine Learning Systems Engineer to join our team. As a Machine Learning Systems Engineer, you will be responsible for designing, developing, and deploying machine learning models and systems that power our AI-powered platform.
Key Responsibilities:- Design and develop high-quality machine learning software applications, infrastructure, and tools.
- Lead technical domains starting from problem definition and technical requirements to implementation and maintenance.
- Collaborate with machine learning researchers and engineers to implement and deploy algorithms, such as machine learning models.
- Work with stakeholders across machine learning and operations teams to iterate on systems design and implementation.
- Create reusable 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.
- 5+ years of industry software development experience, with a background in design patterns, data structures, and test-driven development.
- 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.
- Proficient with professional software engineering practices and standard practices for the full software life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Experience with cloud-based environments, Kubernetes or Docker, and Infrastructure as Code (Terraform, etc.).
- Experience in software design and architecture for highly available machine learning systems for use cases like inference, evaluation, and experimentation.
- Excellent understanding of low-level operating systems concepts, including multi-threading, memory management, networking, and storage, performance, and scale.
- Excellent interpersonal and written communication skills.
- Experience in one or more relevant technical areas: natural language processing, machine learning, distributed systems, or building infrastructure for engineering/science users.
- Expertise in machine learning toolchains and techniques, such as PyTorch or TensorFlow.
- Demonstrated experience incubating and productionizing new technology, working closely with research scientists and technical teams from idea generation through implementation.
Abridge is an equal opportunity employer. We actively welcome applicants from all backgrounds and are committed to creating an inclusive and diverse work environment.
We are seeking candidates based in or willing to relocate to the San Francisco Bay Area and/or the New York Tri-State area. This position requires a commitment to a hybrid work model, with the expectation of coming into the office 2-3 times per week.
We offer a comprehensive and generous benefits package, including unlimited PTO, 13 paid holidays, and a learning and development budget of $3,000 per year. We also offer equity for all new employees and a generous equipment budget for your home office setup.
Compensation Range: $200K - $265K
