Jobs in the United States

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Added 1 min ago
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Senior Site Reliability Engineer
Xplor
Remote, United States
- $150,000 to $180,000 USD / year
Xplor Technologies powers the experiences at the heart of everyday life. Through modern vertical software, embedded payments, and AI-powered capabilities, we help businesses in fitness,…
Added 1 min ago
Senior Software Engineer
E-Infosol LLC
Washington, DC
E-INFOSOL LLC is seeking a motivated and results-driven Senior Software Engineer to be a full-time employee in Quantico, VA to join our innovative and customer solutions focused team.
Added 8 mins ago
Senior Software Quality Engineer
Delta Dental
San Francisco, CA · Rancho Cordova, CA
Experience in software test automation (functional and/or performance), with advanced scripting expertise.
Added 11 mins ago
DevSecOps Engineer
SAIC
Hampton, VA
SAIC is looking for a full-time onsite DevSecOps Engineer to join our team in Hampton, VA in support of the Air Operations Center Weapons System (AOC WS) Falconer Program's Application…
Added 13 mins ago
MS
Director, Quality Assurance Engineer
Morgan Stanley
Alpharetta, GA · Alpharetta
- $157,000 USD / year
Telecommuting permitted up to 3 days per week
Added 15 mins ago
AI/ML Engineer
BCMC
Arlington, VA
The AI/ML Engineer will develop and implement automation solutions to support machine learning technology integration activities, focusing on agentic workflow development, automated…
Added 18 mins ago
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Process Controls Engineer, Sensing & DAQ
Hadrian Automation
Torrance, CA
- $268,000 to $321,000 USD / year
Hadrian is building autonomous factories to reindustrialize America. By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and defense companies…
Added 19 mins ago
Senior Hardware Validation Engineer
Canopy
Detroit, MI
The Senior Hardware Validation Engineer leads end-to-end hardware validation activities across the product-development lifecycle for Canopy products. This role is responsible for…
Added 20 mins ago
FPGA Engineer
Pivot + Edge
Dallas, TX
The Senior FPGA Engineer is a key member of the engineering team responsible for the design, implementation, verification, and optimization of FPGA and SoC-based solutions for…
Added 20 mins ago
Sr. Staff Engineer, AI Datacenter Thermal Management & Control Plane
Tenstorrent
Austin, TX · Santa Clara, CA
We are seeking a highly experienced Senior Staff / Principal Engineer to architect and deliver an intelligent thermal management control plane for next-generation AI datacenter…
Added 23 mins ago
Software Development Engineer, Amazon Leo Live
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
We are looking for a engineer with experience in supporting mission-critical applications, who are excited about building solutions that enhance automation, stability, and release processes…
Added 23 mins ago
Software Dev Engineer, Antenna Calibration, Amazon Leo
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
As a Software Engineer for antenna calibration, you will collaborate with systems architects, hardware engineering design teams & FW/SW design teams to bring up and test systems combining…
Added 24 mins ago
SR Warehouse Robotics Engineer
LOGISTICS INSIGHT CORP.
Warren, MI
The Warehouse Robotics Engineer will be domiciled in Warren, MI and develop, deploy, and scale advanced robotic material handling and storage systems across Universal Logistics operations…
Added 25 mins ago
AI Platform Engineer I
Sterling Jewelers Inc.
Irving, TX · Akron, OH
The AI Platform Engineer is a hands-on individual contributor on the AI Platforms team who writes code to build the AI gateway, reusable AI building blocks, agent tooling, and AI-native…
Added 25 mins ago
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Senior Software Development Engineer, Backend
ZINC Zillow, Inc.
Remote, United States
- $156,200 to $262,600 USD / year
…Engineering. We build the internal cloud platform that every Zillow engineer builds on: the self-service APIs, paved paths, and automation that turn the raw complexity of AWS into a small…
Added 26 mins ago
Dev Ops Engineer
Altamira Technologies Corp.
Fairborn, OH
Must possess experience with designing and implementing AWS Cloud-based hosting solutions
Added 27 mins ago
Forward Deployed Engineer (FDE)
Gravitee
Denver
We are seeking a highly technical, customer-facing Forward Deployed Engineer to join our growing Service Delivery organization.
Added 32 mins ago
Principal Software Engineer
Chewy, Inc.
Boston, MA · Bellevue, WA
Chewy is seeking a Principal Software Engineer to provide technical leadership across our Customer Care Product & Engineering organization. In this highly influential role, you will…
Added 32 mins ago
Sr. Equipment Engineer
LG Energy Solution Michigan, Inc.
Holland, MI
The Senior Equipment Engineer leads complex equipment projects and reliability improvements across battery production lines. This role provides technical direction on recurring breakdowns…
Added 33 mins ago
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Devsecops Engineer
Actalent
Wilmington, MA
- $70 to $100 USD / hour
Job Title: DevSecOps EngineerJob DescriptionThe DevSecOps Engineer will design, implement, and maintain robust security controls across AWS cloud environments that support connected medical…
Added 33 mins ago
A
Test Engineer
Actalent
Cockeysville, MD
- $40 to $52 USD / hour
Test EngineerJob DescriptionThe Test Engineer designs and implements comprehensive tests to ensure the quality, reliability, and functionality of complex products, with a strong focus on…
Added 33 mins ago
A
Golang Software Engineer
Actalent
Raleigh, NC
- $50 to $60 USD / hour
Job Title: Golang Software Engineer (Mid-Expert Platform Engineering)Job DescriptionThis contract role offers an opportunity for a mid-expert level Golang Software Engineer to join a…
Added 34 mins ago
Staff Forward Deployed Engineer
Judi Health
NY
5-8 years of progressive experience across technology consulting, solutions engineering, applied AI, automation, product development, business technology, or software engineering.
Added 35 mins ago
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Software Engineer, Claims & AI Billing
Commure
Mountain View, CA
- $130,000 to $190,000 USD / year
As a Software Engineer II, you'll work across the stack, from data-dense workflows in the UI to the backend pipelines, integrations, and rule engines that power them. Our scope is broad:…
Added 35 mins ago
Packaging Design Senior Engineer
Toyota
Liberty, NC
Toyota’s Manufacturing Parts Operations is looking for a passionate and highly motivated Packaging Design Engineer.

Bask Health

ML Systems Engineer

Remote, United States

Apply on apply.workable.com About employer

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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