Senior Machine Learning Engineer, Infrastructure

United States

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$170,000 – $200,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Artificial Intelligence, BiotechnologyIndustries

Requirements

Candidates should have experience in building and maintaining infrastructure for machine learning models, including MLOps. Proficiency in Python and Typescript is required, with a focus on backend development and full-stack capabilities. Experience with accelerating language model R&D and serving models is also necessary.

Responsibilities

The Senior Machine Learning Engineer will design, implement, and maintain the infrastructure that supports AI research and products. This includes developing tools and systems to accelerate language model R&D, serve models to users, and connect models to customer-facing products. The role involves backend-heavy development with full-stack capabilities in Python and Typescript.

Skills

Machine Learning

Infrastructure

Generative AI

Python

Cloud Computing

Distributed Systems

Software Engineering

Rad AI

AI-driven software for radiology workflows

About Rad AI

Rad AI enhances radiology workflows using artificial intelligence to improve efficiency and accuracy in radiological practices. Its main product, Omni Reporting, automates routine tasks, ensures follow-up on incidental findings, and improves reporting accuracy. This software integrates seamlessly into existing workflows, making it easier for radiologists to manage their tasks. Unlike competitors, Rad AI emphasizes data security and patient privacy, being SOC 2 Type II and HIPAA certified. The company's goal is to provide reliable AI-driven solutions that streamline healthcare processes and improve patient outcomes.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$76.8MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Health Insurance

Health Savings Account/Flexible Spending Account

401(k) Retirement Plan

Paid Holidays

Remote Work Options

Unlimited Paid Time Off

Risks

Emerging competition from companies like DeepMind could overshadow Rad AI's offerings.

Rapid AI technology evolution requires Rad AI to continuously innovate.

AI-driven automation may face resistance from the medical community.

Differentiation

Rad AI's Omni Reporting won 'Best New Radiology Software' by AuntMinnie.

Rad AI integrates AI with FHIRcast for enhanced radiology workflow interoperability.

Rad AI is a pioneer in using large language models for radiology report generation.

Upsides

Rad AI achieved a 48% increase in radiograph reporting efficiency at RANT.

Rad AI raised $50M in Series B funding, boosting its expansion capabilities.

Strategic collaboration with AGFA HealthCare enhances Rad AI's market position.

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