Jobs in the United States

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Added 4 mins ago
Senior Director Software Engineering
Capital One
Augusta, ME
As a Senior Director, Full-stack Engineer at Capital One, you will lead high-performing engineering teams working to define the future of banking in the cloud. You will partner closely with…
Added 4 mins ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Augusta, ME
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 11 mins ago
Principal Machine Learning Engineer
Vail Resorts
NH
We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and…
Added 11 mins ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Concord, NH
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 21 mins ago
SR Solutions Engineer, Data Analytics
Boehringer Ingelheim
Saint Joseph, MO
The Senior Solutions Engineer, Data Analytics will support and contribute to Advanced Data Analytics software and data engineering services for global and regional reporting solutions. This…
Added 21 mins ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Jefferson City, MO
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 34 mins ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Honolulu, HI
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 35 mins ago
M
Principal Design Verification Engineer (Design or DV)
Microsoft
CA · WA · NC · Mountain View, CA · Redmond, WA · Raleigh, NC · Mountain View · Redmond · Raleigh
- $142,800 to $304,200 USD / year
We are looking for a Principal Design Verification Engineer (Design or DV) to join the team.
Added 38 mins ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Bismarck, ND
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 46 mins ago
Principal Machine Learning Engineer
Vail Resorts
CO
We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and…
Added 46 mins ago
Principal Machine Learning Engineer
Vail Resorts
Broomfield, CO
We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and…
Added 47 mins ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Denver, CO
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 59 mins ago
RTL Design Engineer, Google
Google
Sunnyvale, CA
2 years of experience with high-performance ASIC design in Phase-Locked Loop, Frequency-Locked Loop, and Delay-Locked Loop integration.
Added 1 hour ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Lincoln, NE
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 1 hour ago
Senior Full-Stack Software Engineer - Procurement Systems
Blue Origin LLC
Seattle, WA
We are seeking a Senior Software Engineer to design and build Blue Origin's next-generation procurement platform that will reinvent the entire procure-to-pay lifecycle. This role is on the…
Added 1 hour ago
Principal Site Reliability Engineer (Vehicle Engineering)
SpaceX
Bastrop, TX
…satellites. This role exists to put a real Site Reliability Engineer operating model on these capabilities and accelerating the world class engineering at SpaceX: toil reduction,…
Added 1 hour ago
Forward Deployed Engineer
CGI Technologies and Solutions, Inc.
Plano, TX
. Implement LLM and agent evaluation, tracing, observability, reliability, and performance monitoring.
Added 1 hour ago
AI Product Owner
CGI Technologies and Solutions, Inc.
Plano, TX
This is a hands on, AI first role. You do not need to be a data scientist or ML engineer. You do need to understand how quickly the AI landscape is changing, use modern AI tools daily, and…
Added 1 hour ago
Senior Manager, AI Enablement Engineer
Scotiabank
Dallas, TX
…growing and diversifying talent and engaging employees in a performance-oriented…
Added 1 hour ago
AI Engineer
UNIVERSITY OF TEXAS AT AUSTIN
Austin, TX
…and maintains monitoring systems to proactively assess model performance, reliability, and drift.Detects and reports model drift and anomalies.Generates dashboards and alerts for…
Added 1 hour ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Austin, TX
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 2 hours ago
Senior Machine Learning Engineer, Search & Personalization
Bask Health
Remote, United States
We're looking for a Senior Machine Learning Engineer, Search & Personalization to design, build, and improve intelligent search, discovery, and personalization capabilities across Bask…
Added 2 hours ago
Applied ML Engineer, Agents & Automation
Bask Health
Remote, United States
We're looking for an Applied ML Engineer, Agents & Automation to design, build, and deploy intelligent systems that automate complex workflows across Bask Health's telehealth platform.
Added 2 hours ago
ML Systems Engineer
Bask Health
Remote, United States
We're looking for an ML Systems Engineer to build and maintain the infrastructure that allows machine learning models and AI-powered services to operate reliably across Bask Health's…
Added 2 hours ago
Applied ML Engineer, Care Experience
Bask Health
Remote, United States
We're looking for an Applied ML Engineer, Care Experience to develop intelligent software capabilities that improve how patients receive support and navigate ongoing care-related…

Bask Health

ML Systems Engineer

Remote, United States

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Job details

Experience: 3+ years of professional experience in software engineering, machine learning engineering, infrastructure engineering, or a closely related technical field.
Posting language: English
Posted: Nov 12, 2026

Original job description

About Bask Health Bask Health is a software platform that enables entrepreneurs, doctors, and healthcare businesses to launch, manage, and grow direct-to-consumer telehealth businesses. Our platform brings together patient experiences, clinical workflows, pharmacy operations, and commerce tools in one place. We're an entrepreneurial, product-focused engineering team that values ownership, technical excellence, and building software that solves real problems. Engineers work closely with product teams and company leadership, take features from idea to production, and have a direct role in shaping the platform. Engineering at Bask is AI-first and builder-led. We use tools like Cursor and Claude Code throughout development while maintaining high standards for reliability, testing, and software quality. About the Role We're looking for an ML Systems Engineer to build and maintain the infrastructure that allows machine learning models and AI-powered services to operate reliably across Bask Health's platform. Bask Health brings together patient experiences, merchant operations, clinical workflows, pharmacy coordination, and commerce tools. As machine learning becomes more integrated into these applications, we need dependable systems for preparing data, deploying models, managing inference, monitoring performance, and maintaining production reliability. You'll help develop the engineering infrastructure that connects machine learning development with real-world application use. Your work will support the complete operational lifecycle of machine learning systems, from model packaging and deployment to monitoring, troubleshooting, and ongoing maintenance. This is a hands-on engineering role that combines backend software development, cloud infrastructure, machine learning operations, and distributed systems. You'll work with APIs, data pipelines, deployment environments, model-serving services, and monitoring tools to make machine learning capabilities accessible to other engineering teams. Your work may include building model-serving infrastructure, implementing automated deployment pipelines, developing batch and real-time inference services, managing model artifacts, and creating systems that monitor performance and operational health. You'll collaborate with machine learning engineers, applied scientists, backend engineers, and infrastructure specialists to understand model requirements and translate them into reliable production systems. You'll help establish reusable deployment patterns, improve developer workflows, and reduce the complexity of operating machine learning applications. Because Bask operates in healthcare-related environments, you'll also need to consider data privacy, access controls, tenant isolation, and appropriate handling of sensitive information throughout the machine learning lifecycle. This position emphasizes strong software engineering fundamentals and practical infrastructure ownership. You'll contribute to technical design, build production services, investigate operational problems, and continuously improve system performance. We're looking for an engineer who enjoys working at the intersection of machine learning and infrastructure, understands the challenges of running models in production, and wants to build systems that other engineers can depend on. What You'll Do

Design, build, and maintain production infrastructure for machine learning systems across Bask Health.
Develop model-serving services that expose machine learning predictions through reliable APIs.
Build and maintain infrastructure for batch and real-time model inference.
Implement automated workflows for model packaging, deployment, and version management.
Develop reusable deployment patterns for machine learning applications.
Build systems for managing model artifacts, configurations, and runtime dependencies.
Implement continuous integration and deployment pipelines for ML services.
Develop infrastructure that supports reproducible model releases and controlled rollbacks.
Build monitoring systems for model-serving latency, throughput, errors, and availability.
Implement logging and tracing for production machine learning services.
Support model performance monitoring and detection of unexpected changes in input data.
Develop data processing and feature preparation pipelines that support production inference.
Integrate machine learning services with existing backend applications and databases.
Build asynchronous processing systems for large or long-running inference tasks.
Optimize inference performance, resource usage, and infrastructure costs.
Develop automated tests for model-serving APIs and infrastructure components.
Implement safeguards for service failures, timeouts, retries, and fallback behavior.
Work with machine learning engineers to define deployment and operational requirements.
Collaborate with applied scientists to transition validated models into production.
Develop tools that simplify model deployment and troubleshooting for engineering teams.
Implement appropriate authentication, authorization, and access controls for ML services.
Ensure production systems respect tenant boundaries and approved data-handling requirements.
Investigate infrastructure incidents and resolve production reliability issues.
Improve system scalability and fault tolerance as application demand grows.
Support experiment environments and testing infrastructure for machine learning development.
Document infrastructure architecture, deployment procedures, and operational standards.
Participate in code reviews, technical planning, and architecture discussions.
Own assigned ML infrastructure projects from design through deployment, monitoring, and continuous improvement.
3+ years of professional experience in software engineering, machine learning engineering, infrastructure engineering, or a closely related technical field.
Experience building and maintaining production backend services or infrastructure.
Strong programming skills in Python, TypeScript, or comparable languages.
Understanding of machine learning development and deployment workflows.
Experience developing APIs and integrating backend services.
Familiarity with cloud infrastructure and production application deployment.
Understanding of distributed systems fundamentals and service reliability.
Experience with automated testing and continuous integration practices.
Familiarity with containerization or comparable application packaging approaches.
Understanding of model inference and production model-serving requirements.
Experience working with databases and structured application data.
Familiarity with asynchronous processing and background job systems.
Experience implementing logging, monitoring, and operational diagnostics.
Understanding of system performance, latency, throughput, and scalability.
Ability to troubleshoot production infrastructure and application failures.
Familiarity with authentication, authorization, and secure service communication.
Experience working with Git and collaborative engineering workflows.
Understanding of software configuration and dependency management.
Ability to design reusable infrastructure components and engineering tools.
Familiarity with data processing pipelines and production data quality considerations.
Experience writing maintainable, well-tested production code.
Understanding of deployment automation and release management.
Ability to evaluate technical tradeoffs involving reliability, performance, and cost.
Strong analytical and problem-solving skills.
Ability to collaborate effectively with machine learning engineers, applied scientists, and software engineers.

Nice to Have

Experience deploying and operating machine learning models in production.
Familiarity with MLOps platforms and model lifecycle management tools.
Experience with MLflow, SageMaker, or comparable machine learning infrastructure.
Familiarity with model registries and artifact management systems.
Experience building real-time inference APIs.
Experience with batch inference and distributed data processing.
Familiarity with Docker, Kubernetes, or comparable container orchestration technologies.
Experience working with AWS Lambda, SQS, EventBridge, or related cloud services.
Familiarity with serverless infrastructure and infrastructure-as-code tools.
Experience with SST or comparable application deployment frameworks.
Experience building CI/CD pipelines for machine learning applications.
Familiarity with model monitoring and data drift detection.
Experience with feature stores or reusable feature pipelines.
Understanding of model versioning, canary deployments, and rollback strategies.
Familiarity with GPU-based inference or model-serving optimization.
Experience supporting large language model applications or embedding services.
Familiarity with vector databases and retrieval infrastructure.
Experience building internal developer platforms or reusable infrastructure libraries.
Understanding of HIPAA and healthcare data privacy considerations.
Experience using AI-assisted development tools such as Cursor or Claude Code.

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More about this job

Skills

ML
Machine learning
Packaging
Troubleshooting
CI/CD
Process data
Process improvement
Python
TypeScript
Test automation
Troubleshoot
Communication skills
Git
Problem solving
Mlflow
Docker
Kubernetes
AWS
Infrastructure as code
Health and safety

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Work requirements

Jobs in the United States