Machine Learning Systems Engineer (Staff/Senior) @ Abridge | Jobright.ai
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Abridge · 3 days ago

Machine Learning Systems Engineer (Staff/Senior)

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Artificial Intelligence (AI)Clinical Trials
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H1B Sponsorship
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Growth Opportunities
Hiring Manager
KB Bowles
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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.

Software DevelopmentDesign PatternsData StructuresTest-Driven DevelopmentSoftware DesignArchitectureMachine LearningC++PythonJavaSoftware Engineering PracticesCoding StandardsCode ReviewsSource Control ManagementBuild ProcessesTestingOperationsCloud-Based EnvironmentsKubernetesDockerInfrastructure as CodeOperating Systems ConceptsMulti-ThreadingMemory ManagementStorageProblem-SolvingInterpersonal CommunicationNatural Language ProcessingDistributed SystemsInfrastructure Building

Required

5-8+ 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.
Experience in software design and architecture for highly available machine learning systems for use cases like inference, evaluation and experimentation.
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.
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%.

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

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

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)

Funding

Current Stage
Growth Stage
Total Funding
$207.5M
Key Investors
Spark CapitalIKS HealthWittington Ventures
2024-02-23Series C· $150M
2023-10-26Series B· $30M
2023-05-18Corporate Round· Undisclosed

Leadership Team

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Rez Khan
VP of Products
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Tina Shah
Chief Clinical Officer
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Company data provided by crunchbase
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