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Company

Original Job Post

Abridge · 1 week ago

Senior Machine Learning Systems Engineer

San Francisco, CA

Full-time

Onsite

Senior Level

$200K/yr - $225K/yr

5+ years exp

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Artificial Intelligence (AI)Clinical Trials

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Responsibilities

Architect, design, and implement high-quality machine learning software applications, infrastructure, and tools.

Lead technical domains starting from the problem definition and technical requirements along with 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 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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Design patternsData structuresTest-driven developmentC++PythonJavaSoftware engineering practicesCoding standardsCode reviewsSource control managementBuild processesTestingOperationsCloud-based environmentsKubernetesDockerInfrastructure as codeTerraformSoftware designArchitectureMachine learning systemsLow-level operating systemsMulti-threadingMemory managementStorageProblem-solvingInterpersonal communicationNatural Language ProcessingMachine LearningDistributed Systems

Required

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 & 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

Preferred

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.

Must be willing to travel up to 10% Abridge typically hosts a 3-day team retreat every quarter, where our ML, Engineering and Product teams meet up in person at one of our main locations (Pittsburgh, SF, NY). These retreats often feature internal hackathons, collaborative project sessions, as well as social events that provide the team with opportunities to connect and unwind after hours.

Benefits

Unlimited PTO

12 national holidays

16 weeks paid parental leave for all employees

Flexible working hours

Remote work environment

Equity for all new employees

Generous equipment budget for home office setup ($1600)

Company

Abridge

Abridge is a medical conversation AI startup that structures and summarizes medical conversations for doctors and patients.

Founded in 2018

Pittsburgh, Pennsylvania, USA

51-200 employees

https://www.abridge.com

H1B Sponsorship

Abridge has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2022 (1)