Jobs in the United States

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Core Infrastructure Engineer 2
Oracle
Nashville, TN
- $70,000 to $166,100 USD / year
We are looking for a Software Engineer 2 with strong programming fundamentals and an interest in backend and cloud-service development. You will contribute to existing services, write…
Added just now
Enterprise Software Engineer
Wolters Kluwer DXG U.S., Inc.
Waltham, MA
Wolters Kluwer Health is seeking an Enterprise Software Engineer – Cloud Systems to help build, automate, monitor, and improve the cloud infrastructure and engineering platforms that…
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Product Software Engineer
Wolters Kluwer DXG U.S., Inc.
Waltham, MA
Wolters Kluwer Health is seeking a Product Software Engineer to help design, build, test, automate, and improve software used by healthcare professionals and our internal engineering teams.
Added 1 min ago
Principal Software Engineer (AHT)
CORP-Corporate Office
United States
Must have an active U.S
Added 1 min ago
AS
Cybersecurity Data Engineer
August Schell
Adelphi, MD
- $150,000 to $180,000 USD / year
Ability to work onsite three days per week at ALC in Adelphi, Maryland
Added 2 mins ago
Protocol Engineer
fun.xyz
NY
We're looking for a Protocol Engineer to join our core blockchain team and help build the foundation of Web3 payments infrastructure. This high-impact role offers the opportunity to work on…
Added 2 mins ago
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Product Engineer
fun.xyz
United States
- $155,000 to $300,000 USD / year
We're looking for a talented Product Engineer (Mid, Senior, Staff) to join our team and help shape the future of crypto payments. In this role, you'll design and scale SDK software that…
Added 2 mins ago
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Backend Engineer
fun.xyz
United States
- $150,000 to $300,000 USD / year
We’re looking for a BackEnd Engineer to join our growing team at Fun and help architect the backend services that power our web3 payments infrastructure. This role is foundational to the…
Added 3 mins ago
AF
Senior Software Engineer
Atomic Fi
Remote, United States
- $150,000 to $180,000 USD / year
We're looking for a Senior Software Engineer to to join our team. You'll be building innovative solutions using a variety of technologies including Node.js, TypeScript, Vue, Temporal,…
Added 5 mins ago
Product Manager
Meta
Dover, DE
Integrate data, usability studies, research, and market analysis into product strategies and requirements to enhance user satisfaction and improve engineer productivity
Added 5 mins ago
Technical Fellow - B2B Integration (ATS / HRIS / Enterprise)
Indeed
Dover, DE
As a Software Engineer VI at Indeed, you will operate as a Technical Fellow for the Interop space - the platform connecting Indeed to external ATS/HRIS partners (Big-4 and long-tail ATSs,…
Added 5 mins ago
Senior Front-End and Agentic-UI Engineer
Evolent
Dover, DE
The Senior Software Engineer leads the design, development, and deployment of complex features in the web user experience for the Evolent Platform. This role builds high-performance React…
Added 5 mins ago
Core Senior .NET Software Engineer
Evolent
Dover, DE
The Senior Software Engineer leads the design, development, and deployment of complex software solutions, ensuring scalability and maintainability. This role architects and implements…
Added 5 mins ago
Process Engineer
Qnity
Newark, DE
Qnity is searching for a Process Engineer in the Kalrez® manufacturing operations in Newark, Delaware. The Process Engineer provides technical leadership and day-to-day engineering support…
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Senior AI Engineer
Qnity
Wilmington, DE
Qnity is accepting applications for a full-time Senior AI Engineer position at one of Qnity’s main campuses in Wilmington, Delaware. This is an exciting opportunity for an experienced…
Added 5 mins ago
Senior AI Engineer
Qnity
Wilmington, DE
Qnity is accepting applications for a full-time Senior AI Engineer position based at one of Qnity’s main campuses in Wilmington, Delaware, USA .
Added 5 mins ago
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Automated Test Engineer
Eliassen Group
Dover, DE
- $40 to $50 USD / hour
Our client seeks an Automated Test Engineer to support Hivemind by monitoring and maintaining large volumes of automated tests, troubleshooting failures, and driving bug resolution across…
Added 5 mins ago
EA
Supplier Development Engineer - Electronics
Ensign-Bickford Aerospace & Defense Company
Moorpark, CA
- $90,000 to $140,000 USD / year
The candidate must have excellent written and verbal communication skills
Added 7 mins ago
Mechanical Engineer IV, Robotics
Applied Materials
Santa Clara, CA · Santa Clara
As a Mechanical Engineer, you’ll leverage your strong foundation in physics, mathematics, and materials science to process and resolve mechanical problems, design and implement custom…
Added 7 mins ago
Sr. Software Engineer
BCC Software LLC
Rochester, NY
BCC Software is seeking a senior engineer who can sustain and evolve business-critical C/C++ products while helping shape their path to a modern Microsoft technology stack. The ideal…
Added 7 mins ago
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Environmental Qualification & Test Engineer (ME Focused)
Actalent
Nashua, NH
- $47.12 to $100 USD / hour
Job Title: Environmental Qualification & Test Engineer (Mechanical Focus)Job DescriptionThis role focuses on planning, executing, and analyzing comprehensive environmental qualification and…
Added 8 mins ago
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Senior Site Reliability Engineer
Xplor
Remote, United States
- $150,000 to $180,000 USD / year
We're looking for a hands-on Site Reliability Engineer to own how our agent platform behaves in production. AI workloads bring new reliability problems: long streaming responses, background…
Added 9 mins ago
Data Engineer III
Preferred Travel Group
United States
We are seeking a highly organized, proactive, and technically skilled Data Engineer III to design, build, and optimize scalable data solutions that power business operations across…
Added 10 mins ago
Director of Engineering
MANSON WESTERN LLC
Torrance, CA
Build an AI software factory: shared workflows, tools, and agent instructions that every engineer uses across planning, development, testing, and delivery.
Added 15 mins ago
Senior Software Quality Engineer
Delta Dental
San Francisco, CA · Rancho Cordova, CA
The Senior Quality Engineer will work alongside both business and technical team members to ensure the usability and functionality of products, services and systems. This role will…

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.

Requirements

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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Jobs in the United States