Jobs in the United States

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Added 1 min ago
Field Engineer Lead I
General Atomics
Kaneohe, HI
Must possess the ability to resolve supervisory and technical pr
Added 15 mins ago
M
Senior Software Engineer, Full Stack
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
Senior Software Engineer - Full Stack, AI & Platform Modernization Microsoft | Engineering Workforce Strategy & Operations
Added 23 mins ago
J
Senior Engineer, Cyber Engineering
Jobgether
Remote, United States
- $160,000 to $175,000 USD / year
Security Architecture Integration: Embed security controls and capabilities into infrastructure, cloud, and application delivery pipelines through reusable, standardized, and scalable…
Added 31 mins ago
Senior Electrical Engineer - Power Generation
Omaha Public Power District
Plattsmouth, NE
Oversee the planning, execution, and integration of major engineering workstreams across electrical, mechanical, controls, operations, maintenance, construction, and project-management…
Added 31 mins ago
Senior Mechanical Engineer - Power Generation
Omaha Public Power District
Plattsmouth, NE
Oversee the planning, execution, and integration of major engineering workstreams across mechanical, electrical, controls, operations, maintenance, construction, and project-management…
Added 32 mins ago
AT
Automation Project Engineer
Agilent Technologies
Boulder, CO
- $105,280 to $164,500 USD / year
Join a growing team with this exciting opportunity for a Automation Project Engineer at our Boulder and Frederick, Colorado GMP facilities. Work at the forefront of the growing…
Added 1 hour ago
Manufacturing Robotics Engineer Stf
Lockheed Martin
Grand Prairie, TX
…feasibility studies and automation assessments through system design, integration, testing, pilot execution, and production deployment. Responsibilities include developing system…
Added 1 hour ago
Manufacturing Robotics Engineer - E2
Lockheed Martin
Grand Prairie, TX
…feasibility studies and automation assessments through system design, integration, testing, pilot execution, and production deployment. Responsibilities include designing and configuring…
Added 1 hour ago
ND
AI Security & Endpoint Automation Engineer
NTT Data Americas, Inc.
Irving, TX
- $54.34 to $55 USD / hour
NTT DATA's Client is seeking a AI Security & Endpoint Automation Engineer to leverage data from Endpoint Management, Detection, and Response tools' real-time visibility capabilities to…
Added 1 hour ago
S
Sr. Building Automation Design Engineer - PLC Controls
Siemens
Fort Worth, TX · Dallas, TX
- $66,259 to $113,587 USD / year
Candidate must live one hour away from a major airport and will be required to travel periodically to a project sites
Added 1 hour ago
LR
Information Security Engineer
Levi, Ray & Shoup, Inc.
Dallas, TX
- $50 to $80 USD / hour
Our client, a large, employee-owned national organization, is seeking an Information Security Engineer to join its Security Engineering team for an on-site, 12-month contract opportunity in…
Added 1 hour ago
CSV Engineer Lead
Kelly Services
Houston, TX
Ensure appropriate validation of data integrity, audit trails, access controls, electronic records, backup/recovery, and system interfaces.
Added 1 hour ago
Robotics Systems Field Engineer , RIVR
Amazon
Austin, TX
As a Robotics Field Engineer at Amazon RIVR, you will be the critical link between our advanced robotics technology and real-world deployment. You will serve as Tier 2 technical support,…
Added 1 hour ago
AI Engineer
UNIVERSITY OF TEXAS AT AUSTIN
Austin, TX
…translate model requirements into operational solutions.Coordinates integration with APIs and application workflows.Participates in code reviews and design sessions.Automation of Retraining…
Added 1 hour ago
Platform Engineer, APIs & Workflow Automation
Bask Health
Remote, United States
We're looking for a Platform Engineer to help build and improve the APIs, shared services, and workflow automation that power Bask Health.
Added 1 hour ago
Forward Deployed Engineer, AI & Automation
Bask Health
Remote, United States
We're looking for a Forward Deployed Engineer, AI & Automation to help build and implement AI-powered tools, automated workflows, and technical integrations across Bask Health's platform.
Added 1 hour ago
Forward Deployed Engineer, Pharmacy Integrations
Bask Health
Remote, United States
We're looking for a Forward Deployed Engineer, Pharmacy Integrations to help build, maintain, and improve the technical connections between Bask Health's telehealth platform and pharmacy…
Added 1 hour ago
Frontend Engineer, New Grad
Bask Health
Remote, United States
We're looking for a Frontend Engineer, New Grad to help build and improve the web applications that power Bask Health's telehealth platform.
Added 1 hour ago
Head of Applied AI
Bask Health
Remote, United States
Lead technical investigations into AI system failures, unreliable outputs, and integration challenges.
Added 1 hour ago
Senior Applied AI Engineer, Patient Experience
Bask Health
Remote, United States
We're looking for a Senior Applied AI Engineer, Patient Experience to design, build, and ship AI-powered capabilities that improve how patients interact with Bask Health's telehealth…
Added 1 hour ago
Software Engineer, AI Platform
Bask Health
Remote, United States
We're looking for a Software Engineer, AI Platform to build and maintain the foundational software infrastructure that supports AI-powered applications across Bask Health.
Added 1 hour 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 1 hour ago
Deployment Engineer, Merchant Solutions
Bask Health
Remote, United States
We're looking for a Deployment Engineer, Merchant Solutions to help merchants successfully implement, configure, and launch technical solutions using Bask Health's platform.
Added 1 hour ago
Software Engineer, AI Quality & Evaluation
Bask Health
Remote, United States
We're looking for a Software Engineer, AI Quality & Evaluation to build the engineering systems that help Bask Health test, evaluate, and improve AI-powered applications throughout their…
Added 1 hour ago
ML Platform Engineer, Evaluation Systems
Bask Health
Remote, United States
We're looking for an ML Platform Engineer, Evaluation Systems to build and maintain the infrastructure that allows Bask Health to evaluate machine learning models and AI-powered…

Bask Health

ML Platform Engineer, Evaluation Systems

Remote, United States

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Job details

Experience: 3+ years of professional experience in software engineering, machine learning engineering, platform 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 Platform Engineer, Evaluation Systems to build and maintain the infrastructure that allows Bask Health to evaluate machine learning models and AI-powered applications reliably, consistently, and at scale. Bask Health supports direct-to-consumer telehealth businesses through a platform that connects patient experiences, merchant operations, clinical workflows, pharmacy coordination, and commerce capabilities. As machine learning and AI become more integrated into these systems, we need dependable infrastructure for measuring model quality, comparing changes, and understanding how AI systems perform before and after deployment. You'll help develop the platform services, data pipelines, execution environments, and monitoring capabilities that support machine learning evaluation across engineering teams. This is a hands-on engineering role focused on the operational infrastructure behind evaluation systems. You'll work with cloud services, distributed processing, model integrations, databases, and automated workflows to support repeatable experiments and large-scale evaluation jobs. Your work may include building evaluation job orchestration, managing benchmark datasets, developing experiment tracking systems, supporting model comparisons, and creating infrastructure that stores and analyzes evaluation results. You'll collaborate with machine learning engineers, applied scientists, AI evaluation engineers, and backend engineers to understand their technical requirements and build reusable systems that support different model types and evaluation methodologies. You'll also help improve the reliability and reproducibility of evaluation workflows. This includes ensuring experiments can be repeated, datasets and configurations are versioned, failures are observable, and results can be compared accurately over time. Because Bask operates in healthcare-related environments, evaluation infrastructure must support appropriate privacy controls, secure data access, and responsible handling of sensitive information. You'll help ensure evaluation datasets and model outputs are managed according to approved security and operational requirements. This position emphasizes strong infrastructure engineering, practical machine learning knowledge, and ownership of production platform services. You'll contribute to architecture, build scalable systems, improve operational performance, and help engineering teams evaluate AI capabilities more effectively. We're looking for an engineer who enjoys building infrastructure for machine learning teams, understands the challenges of reproducible experimentation, and wants to make AI evaluation more dependable and efficient across the organization. What You'll Do

Design, build, and maintain machine learning evaluation infrastructure across Bask Health.
Develop platform services that execute and manage automated model evaluation workloads.
Build scalable systems for running large batches of model and AI application evaluations.
Implement job orchestration, scheduling, and execution management for evaluation pipelines.
Develop infrastructure for storing and versioning evaluation datasets.
Build systems for tracking model configurations, prompts, parameters, and evaluation results.
Implement reproducible experiment workflows that support consistent model comparisons.
Develop automated pipelines for benchmarking machine learning models.
Build APIs and services that allow engineering teams to submit and monitor evaluation jobs.
Create infrastructure for comparing evaluation results across model versions and experiments.
Support evaluation workflows for large language models, predictive models, and retrieval systems.
Develop asynchronous processing systems for computationally intensive evaluation tasks.
Implement monitoring for evaluation job performance, failures, latency, and resource usage.
Build logging and tracing capabilities that help engineers investigate evaluation problems.
Develop systems for managing evaluation artifacts, reports, and historical results.
Integrate evaluation infrastructure with model registries and ML development workflows.
Implement automated quality checks that support controlled model releases.
Build reliable retry, timeout, and failure recovery mechanisms for evaluation workloads.
Optimize evaluation execution performance, infrastructure utilization, and operational costs.
Support distributed evaluation workloads across cloud-based compute resources.
Collaborate with machine learning engineers to define evaluation infrastructure requirements.
Work with applied scientists to support reproducible experiments and benchmark comparisons.
Develop tools that simplify evaluation configuration and execution for engineering teams.
Implement secure access controls for evaluation datasets and results.
Ensure evaluation systems respect tenant boundaries and approved data-handling practices.
Investigate infrastructure incidents and improve evaluation platform reliability.
Document evaluation infrastructure, deployment procedures, and operational standards.
Own assigned ML evaluation platform projects from technical design through deployment, monitoring, and continuous improvement.
3+ years of professional experience in software engineering, machine learning engineering, platform 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.
Familiarity with machine learning development and evaluation workflows.
Experience developing APIs and backend service integrations.
Understanding of distributed systems and asynchronous processing.
Experience working with cloud-based infrastructure and production deployments.
Familiarity with automated testing and continuous integration practices.
Understanding of machine learning model versioning and experiment reproducibility.
Experience working with relational databases and structured datasets.
Familiarity with data pipelines and batch processing workflows.
Experience designing reliable background job systems.
Understanding of infrastructure scalability, performance, and fault tolerance.
Familiarity with logging, monitoring, and production observability.
Experience implementing retries, timeouts, and error recovery.
Understanding of authentication, authorization, and secure service communication.
Familiarity with configuration management and deployment automation.
Experience writing maintainable, well-tested production code.
Ability to troubleshoot complex backend or infrastructure issues.
Understanding of software release processes and operational reliability.
Experience using Git and collaborative engineering workflows.
Ability to translate machine learning requirements into scalable infrastructure.
Strong analytical thinking and problem-solving skills.
Ability to collaborate effectively with machine learning engineers, applied scientists, and software engineers.
Ability to independently own engineering projects from design through deployment.

Nice to Have

Experience building infrastructure for machine learning evaluation or experimentation.
Familiarity with MLflow, Weights & Biases, or comparable experiment tracking platforms.
Experience with model registries and artifact management systems.
Familiarity with large language model evaluation frameworks.
Experience with LangSmith, DeepEval, Ragas, or comparable AI evaluation tools.
Experience building distributed evaluation or benchmarking pipelines.
Familiarity with workflow orchestration tools such as Airflow, Dagster, or Temporal.
Experience with containerized workloads and distributed compute infrastructure.
Familiarity with Docker, Kubernetes, or comparable technologies.
Experience working with AWS Lambda, SQS, EventBridge, or related cloud services.
Familiarity with AWS SageMaker or comparable ML platform services.
Experience with serverless infrastructure and infrastructure-as-code tools.
Familiarity with SST or comparable application deployment frameworks.
Experience developing data versioning and dataset management systems.
Understanding of reproducible machine learning experimentation.
Experience implementing model performance monitoring and drift detection.
Familiarity with large language model APIs and model comparison workflows.
Experience building internal developer platforms for machine learning teams.
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
Grading systems
Machine learning
Maintain machinery
Scheduling
Statistical quality control
Process improvement
Python
TypeScript
Test automation
CI/CD
Communication skills
Troubleshoot
Git
Analytical skills
Problem solving
Mlflow
Workflow
Apache Airflow
Docker
Kubernetes
AWS
Infrastructure as code
Health and safety

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Work requirements

Jobs in the United States