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Senior Machine Learning Systems Engineer

abridge.com Logo

Abridge

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Location:
United States , San Francisco

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

221000.00 - 260000.00 USD / Year
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Job Description:

As a Senior Machine Learning Systems Engineer at Abridge, you’ll play a pivotal role in building and optimizing the core infrastructure that powers our machine learning models. Your work will be instrumental in enhancing the scalability, efficiency, and performance of our AI-driven solutions. You will work with our Infrastructure and Research teams to build, deploy, optimize and orchestrate across our AI models.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • 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
What we offer:
  • 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

Additional Information:

Job Posted:
January 20, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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