Machine Learning Infrastructure Engineer, Model Inference

Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations improving clinical documentation efficiencies while enabling clinicians to focus on what matters mosttheir patients.

Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time with deep EMR integrations. Powered by Linked Evidence and our purpose-built auditable AI we are the only company that maps AI-generated summaries to ground truth helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare we are setting the industry standards for the responsible deployment of AI across health systems.

We are a growing team of practicing MDs AI scientists PhDs creatives technologists and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco the SoHo neighborhood of New York and East Liberty in Pittsburgh.

Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations improving clinical documentation efficiencies while enabling clinicians to focus on what matters mosttheir patients.

Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time with deep EMR integrations. Powered by Linked Evidence and our purpose-built auditable AI we are the only company that maps AI-generated summaries to ground truth helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare we are setting the industry standards for the responsible deployment of AI across health systems.

We are a growing team of practicing MDs AI scientists PhDs creatives technologists and engineers working together to empower people and make care make more sense. We have offices located in the SoHo neighborhood of New York the Mission District in San Francisco and Lawrenceville in Pittsburgh.

As an ML Infrastructure Engineer Model Inference at Abridge youll play a pivotal role in building and optimizing the core inference 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.

What Youll Do

• Design deploy and maintain scalable Kubernetes clusters for AI model inference and training

• Develop optimize and maintain ML model serving 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 throughput 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.

What Youll Bring

• 2 years of 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

Ideally You 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

At Abridge were transforming healthcare delivery experiences with generative AI enabling clinicians and patients to connect in deeper more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. Were driving real lasting change with millions of medical conversations processed each month.

Joining Abridge means stepping into a fast-paced high-growth startup where your contributions truly make a difference. Our culture requires extreme ownershipevery employee has the ability to (and is expected to) make an impact on our customers and our business.

Beyond individual impact you will have the opportunity to work alongside a team of curious high-achieving people in a supportive environment where success is shared growth is constant and feedback fuels progress. At Abridge its not just what we doits how we do it. Every decision is rooted in empathy always prioritizing the needs of clinicians and patients.

Were committed to supporting your growth both professionally and personally. Whether its flexible work hours an inclusive culture or ongoing learning opportunities we are here to help you thrive and do the best work of your life.

If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do Abridge is the place for you.

• 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.

• ... and much more!

Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race color religion sex sexual orientation gender identity national origin veteran status or disability.

We provide reasonable accommodations throughout the interview process. If you need reasonable accommodation in applying interviewing completing any assessment or otherwise participating in the employee selection process please contact us at

We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @ email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.

Required Experience:

IC