Jobs in the United States

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Mechatronics Engineer
Actalent
Oakland, NJ
- $48.08 to $55.29 USD / hour
Job Title: Mechatronics EngineerJob DescriptionAs a Mechatronics Engineer, you will lead the design and assembly of custom machinery and packaging equipment using SolidWorks. You will…
Added just now
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Mechanical Engineer
Actalent
Grand Rapids, MI
- $40.87 to $57.69 USD / hour
Job DescriptionThis MEP Mechanical Engineer role focuses on leading mechanical design projects within a consulting engineering environment, coordinating closely with project managers and…
Added 1 min ago
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Sr. Enterprise Systems Engineer
TEKsystems
Mason, MI
- $57 to $70 USD / hour
The Enterprise Systems group is responsible for the physical and virtual server environment, storage, and 3rd-tier OS support for systems deployed at company locations world-wide.
Added 2 mins ago
Senior Software Engineer
E-Infosol LLC
Washington, DC
Support continuous innovation by implementing the best practices to improve technology tools and processes to increase team efficiency and technical execution
Added 5 mins ago
Engineer Staff/Sr/III - Electrical - Power West
Williams WPC-I, LLC.
United States
As a Electrical Engineer-Staff, you’ll lead large-scale projects that power critical infrastructure while driving innovation in energy systems. You’ll design and optimize electrical…
Added 5 mins ago
Field Engineer
Megaport
United States
We are looking for a Field Engineer to act directly on this physical infrastructure. This is a hands-on role: you will deploy, maintain, troubleshoot and repair GPU servers and their…
Added 5 mins ago
Missile Warning Systems Engineer (TS clearance)
Vantor Services Inc.
El Segundo, CA
Onsite attendance is required at least 2–3 days per week
Added 5 mins ago
Mission Engineer - Space Support to Theater (TS clearance)
Vantor Services Inc.
El Segundo, CA
Vantor is seeking a Mission Engineer to support the U.S. Space Force and our teammates in integrating space capabilities into theater operations. Supporting Space Systems Command (SSC) and…
Added 6 mins ago
Product Sustainability Engineer
Werfen
Norcross, GA
The Product Sustainability engineer will support the transfusion portfolio business entities with implementation of product sustainability principles and strategies that drive compliance to…
Added 8 mins ago
Utility Project Engineer
Quality Technology Services, LLC
United States
The Utility Development Project Engineer will support the overall planning and execution of QTS utility infrastructure. This role will support the delivery of utility capacity at each…
Added 9 mins ago
Senior Software Engineer – Data Quality Management (Open to hiring at the Lead Software Engineer Level)
Wellmark, Inc.
Des Moines, IA
As a Senior (Lead) Software Engineer supporting Wellmark’s Data Quality Management (DQM) initiative, you will help maintain and enhance an AWS-based platform that delivers automated data…
Added 9 mins ago
Advanced Systems Engineer
Aerospace
Phoenix, AZ
YOU MUST HAVE
Added 11 mins ago
Manager of AI Integration & Agentic Analytics Engineering
Insight Global
Alpharetta, GA
This role combines technical leadership with people management and cross-functional execution. The ideal candidate has enough hands-on experience with agentic AI, Generative AI, LLMs, and…
Added 12 mins ago
Principal Engineer
Allstate Insurance Co.
Remote, United States
…shape the organization as the industry changes. As a Principal Engineer, this role will have leadership for all engineered solutions for how we think of AI based control implementation…
Added 12 mins ago
Senior Software Support Specialist, Tier-2 Platform Support
Xometry
North Bethesda, MD · Boston, MA
Xometry is looking for a Staff Software Engineer to join our Core Platform team. This role is a strategic technical leadership position focused on the architectural evolution of our…
Added 12 mins ago
Principal Radar Systems Engineer
STR
Dayton, OH · Woburn, MA
…development, requirements verification, test planning, test execution, data analysis, and operations…
Added 12 mins ago
Principal Radar Systems Engineer
STR
Woburn, MA · Dayton, OH
…development, requirements verification, test planning, test execution, data analysis, and operations…
Added 13 mins ago
LBNFDUNE-US Sr. Engineer (BP)
Fermi National Accelerator Laboratory
Lead, SD
WHAT YOUR DAY-TO-DAY WILL LOOK LIKE AS A SENIOR ENGINEER:
Added 13 mins ago
Engineering Manager, Materials Engineering
Aalo Atomics
Idaho Falls, ID
Direct execution of the major materials obligations for Aalo-X and subsequent Aalo designs: fuel qualification, graphite qualification, metals and weld qualification, materials support for…
Added 14 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 20 mins ago
Test Site Engineer
Noblis
White Sands, NM
Noblis is hiring a Test Site Engineer at White Sands, NM. This position provides test engineering support by developing test plans, procedures, and data collection requirements; translating…
Added 20 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 23 mins ago
Program Manager, Data Center Community
Amazon Data Services, Inc.
Hobart, IN
…other words, we’re the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers…
Added 23 mins ago
Staff Mobile Engineer - Session Replay | US | Remote
Grafana Labs
Remote, United States
As a Staff Mobile Engineer you will be the technical lead for mobile capture and replay, working across the device, the ingest path and the player. Specifically, you will:
Added 25 mins ago
General Contractor - Construction
Rimkus
Orlando, FL
The Consultant will utilize their technical education, experience, and training to support Built Environment Solutions (BES) projects for our property owners, developers, investors, lenders…

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.

Requirements

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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Jobs in the United States