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Senior Machine Learning Infrastructure Engineer
Abridge
- United States
- United States
Über
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. The Role
As a Senior Machine Learning Systems Engineer at Abridge, youll 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. What Youll Do 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, 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
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
Bonus Points If
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
Why Work at Abridge?
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 it's 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. How we take care of Abridgers
Generous Time Off : 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees. Comprehensive Health Plans : Medical, Dental, and Vision plans for all full?time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA?eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave : 16 weeks paid parental leave for all full?time employees. 401k and Matching : Contribution matching to help invest in your future. Pre?tax Benefits : Access to Flexible Spending Accounts (FSA) and Commuter Benefits. Learning and Development Budget : Yearly contributions for coaching, courses, workshops, conferences, and more. Sabbatical Leave : 30 days of paid Sabbatical Leave after 5 years of employment. Compensation and Equity : Competitive compensation and equity grants for full?time employees. ... and much more!
Equal Opportunity Employer
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. Seniority level
Mid?Senior level
Employment type
Full?time
Industries
Technology Information and Media Hospitals and Health Care
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Sprachkenntnisse
- English
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