Abridge · 4 months ago
Machine Learning Infrastructure Engineer
SF Office
Full-time
Onsite
Senior Level
$179K/yr - $248K/yrAbridge is a healthcare technology company focused on improving clinical documentation through AI-powered solutions. The Senior Machine Learning Systems Engineer will be responsible for building and optimizing the infrastructure for machine learning models, enhancing scalability and performance.
Artificial Intelligence (AI)Health CareIntelligent SystemsMachine LearningMedical
Responsibilities
Design, deploy and maintain scalable Kubernetes clusters for AI model inference and training
Develop, optimize, and maintain ML model serving and training infrastructure, ensuring high-performance and low-latency
Collaborate with ML and product teams to scale backend infrastructure for AI-driven products, focusing on model deployment, throughout optimization, and compute efficiency
Optimize compute-heavy workflows and enhance GPU utilization for ML workloads
Build a robust model API orchestration system
Collaborate with leadership to define and implement strategies for scaling infrastructure as the company grows, ensuring long-term efficiency and performance
Qualification
Required
Strong experience in building and deploying machine learning models in production environments
Deep understanding of container orchestration and distributed systems architecture
Expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management
Experience developing APIs and managing distributed systems for both batch and real-time workloads
Excellent communication skills, with the ability to interface between research and product engineering
Preferred
Expertise with model serving frameworks such as NVIDIA Triton Server, VLLM, TRT-LLM and so on
Expertise with ML toolchains such as PyTorch, Tensorflow or distributed training and inference libraries
Familiarity with GPU cluster management and CUDA optimization
Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices
Experience with container registries, image optimization, and multi-stage builds for ML workloads
Experience orchestrating across ASR models or LLM models for building various GenAI applications
Benefits
Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.
Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.
Paid Parental Leave: Generous paid parental leave for all full-time employees.
Family Forming Benefits: Resources and financial support to help you build your family.
401(k) Matching: Contribution matching to help invest in your future.
Personal Device Allowance: Tax free funds for personal device usage.
Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.
Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.
Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.
Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment.
Compensation and Equity: Competitive compensation and equity grants for full time employees.
Company
Abridge
Abridge is an AI-driven platform that transforms patient-clinician conversations into structured clinical notes for healthcare industries.
Founded in 2018
201-500 employees
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
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
2024 (1)
2022 (1)
Funding
Current Stage
Late StageTotal Funding
$757.5MKey Investors
Spark CapitalIKS HealthWittington Ventures
2025-06-24Series E· $300M
2025-02-17Series D· $250M
2024-02-23Series C· $150M
Leadership Team
Jonathan Lydon
VP People
Recent News
2026-01-16
2026-01-16
Company data provided by crunchbase