Staff / Senior Software Engineer, ML Systems

April 7

Abridge

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Get more from medical conversations. Our AI-powered solutions help providers & patients follow through with next steps.

machine learning • health tech • clinical nlp

11 - 50

Description

From transcribing medical parts of the conversation to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible. We're currently looking to add a machine learning engineer to our team to help us build and release more machine learning-powered value to our users. At Abridge, we’re driven by our mission to bring understanding and follow-through to every medical conversation. Our culture is founded on doing things the “inverse” way in a legacy system—focusing on patients, instead of the system; focusing on outcomes, instead of billing; and focusing on the end-user experience, instead of a hospital administrator's mandate. Abridgers are engineers, scientists, designers, and health policy experts from a diverse set of backgrounds—an experiment in alchemy that helps us transform an industry dominated by EHRs and enterprise into a consumer-driven experience, one recording at a time. We believe in strong ideas, loosely held, and place a high premium on a growth mindset. We push each other to grow and expose each other to the latest in our respective fields. Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.

Requirements

• Bachelor's Degree or greater in Computer Science/Engineering, Statistics, Mathematics, or equivalent. • 5+ years of industry software development experience, with a background in design patterns, data structures, and test-driven development. • Proficient in developing production-quality software in languages such as C++, Python, or Java. • Proficient with professional software engineering practices & 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 Ideally, You Have • 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.

Benefits

• Unlimited PTO, plus 12 national holidays • 16 weeks paid parental leave, for all employees • Flexible working hours — we care more about what you accomplish than what specific hours you’re working • Remote work environment • Equity for all new employees • Generous equipment budget for your home office setup ($1600) • Opportunity to work and grow with talented individuals, and have ownership and impact at a high growth startup. • Plus much more!