Jobs in the United States

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Added 5 mins ago
Telecom Engineer - Industrial and Mission Critical Facilities
Kiewit
Lone Tree, CO
Our rapidly growing Industrial Design Group, which includes process, electrical, controls, structural, architectural, geotechnical, and civil disciplines, is a multi-faceted and…
Added 5 mins ago
Proposal Specialist Job Details | Black & Veatch Family of Companies
Black & Veatch
Greenwood Village, CO
Promote best practices and contribute to process improvements.
Added 5 mins ago
Software Engineer - Level 2 or 3 (Systems Admin/Lab Manager) - AHT
Northrop Grumman
Boulder, CO
Applicants must have an active in-scope U.S · A current active CompTIA Security+ CE or equivalent DoD 8570 IAT/IAM II certification is required
Added 5 mins ago
Aeronautical Engineer III (Aero-Thermal Analysis)
Lockheed Martin
Littleton, CO
…community of engineers looking for an enthusiastic Aeronautical Engineer to join the tight-knit group. The Fleet Ballistic Missile program has been of Lockheed Martin’s premier Lines of…
Added 5 mins ago
Systems Engineer - EMI/EMC
Lockheed Martin
Littleton, CO
As an Electromagnetic Engineering Effects (E3) Engineer, you will support the System Engineering (SE) Special Disciplines Organization within Fleet Ballistic Missiles (FBM) in one or more…
Added 5 mins ago
Systems Engineer (Level II)
Lockheed Martin
Littleton, CO
The selected Systems Engineer will support D5LE Sustainment for the Support Equipment and Facilities Subsystems (SEFACS) Systems Engineering and Integration (SE&I) team.
Added 5 mins ago
U
Manager Information Technology - End User Services
UCHealth
Aurora, CO
- $57.56 to $92.1 USD / hour
Candidates must reside in the Denver Metro area, regional travel is required
Added 5 mins ago
Software Engineer
Highmark Health
Denver, CO
This job is an integral member of an agile software engineer team responsible for building complex scalable software applications across all digital channels to serve our customers. The…
Added 5 mins ago
Amazon Dedicated Cloud Engineer, Region Reliability
Amazon
Denver, CO
Added 5 mins ago
Software Development Engineer, CE Tech
Amazon
Denver, CO
Come be a part of our product development team! We are seeking a technically skilled engineer who can influence across teams to help bring the products customers want into their hands, all…
Added 6 mins ago
Remote Support Engineer - MR/CT
Canon USA & Affiliates
Denver, CO
The Customer Solutions Center (CSC) Remote Support Engineer plays a critical role in delivering centralized, high-quality remote support for Canon Medical Systems customers across multiple…
Added 6 mins ago
Senior Project Manager (Steel or Mechanical Piping)
RK Mechanical
Henderson, CO
Price, negotiate and process change condition and change order work.
Added 6 mins ago
AI Technical Program Manager
RK Mechanical
Denver, CO
Lead process mapping and workflow discovery. Simplify or remove steps before adding AI, and decide which parts of a workflow an agent handles and which stay with people.
Added 6 mins ago
EG
Senior Systems Administrator / Infrastructure Engineer
Eliassen Group
Denver, CO
- $65 to $75 USD / hour
Our client seeks a senior-level Systems Administrator or Infrastructure Engineer to administer Linux and Windows Server environments, manage AWS services, and drive automation and…
Added 24 mins ago
O
Junior DevSecOps Engineer (Python, CI/CD)
OpenDataJobs
Remote, United States
- $80,000 to $95,000 USD / year
We solve problems through people, process, and technology - in that order. Technology matters, but people make transformation happen. That principle defines our culture. Trust and…
Added 25 mins ago
Test Engineer-AI/LLM
OPPO US Research Center
Palo Alto, CA
OPPO US Research Center is seeking a full-time meticulous and innovative AI/LLM Test Engineer to join our cutting-edge AI team. In this critical role, you will evaluate the performance,…
Added 25 mins ago
Senior Security Engineer
Runware
Remote, United States
As Senior Security Engineer, you will own the security of Runware's AI supercomputer: the bare-metal GPU fleet, the Sonic Inference Pods it lives in, the managed Kubernetes clusters we hand…
Added 25 mins ago
Senior Security Engineer
Runware
Remote, United States
As Senior Security Engineer, you will own the security of Runware's AI supercomputer: the bare-metal GPU fleet, the Sonic Inference Pods it lives in, the managed Kubernetes clusters we hand…
Added 25 mins ago
Broadcast Engineer
MediaRadar
Remote, United States
Must have a valid drivers license
Added 26 mins ago
J
Senior Cloud Security Engineer
Jobgether
Remote, United States
- $127,800 to $339,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Cloud Security Engineer based in the United States.
Added 31 mins ago
Databricks Architect
LED FastStart
Remote, United States
Added 35 mins ago
KC
Customer Engagement Applications Engineer
KLA Corporation
Chandler, AZ
- $78,200 to $132,900 USD / year
…high-resolution defect data that helps customers identify and correct process issues quickly and accurately. As an Applications Engineer, you’ll work closely with customers and…
Added 48 mins ago
O
Regulatory Engineer
OnLogic
South Burlington, VT
- $120,000 to $160,000 USD / year
Creating, implementing, and maintaining tools to automate the compliance process and data management tasks.
Added 57 mins ago
Principal Quality Assurance Engineer
Westinghouse Electric Company
Cranberry Twp, PA
Added 57 mins ago
Industrial Engineer
U.S. Army Communications Electronics Command
Tobyhanna, PA
…service. About the Position: You will work as an Industrial Engineer at Tobyhanna Army Depot. Responsibilities Perform a multi disciplinary engineering role by applying industrial and…

Closed listing

Jobgether

Lead ML/AI Engineer

Remote, United States

This opening has closed.

The original listing is kept below for reference.

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Posting language: English
Posted: Nov 2, 2026

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Original job description

Archived listing. The details below describe a past opening.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead ML/AI Engineer based in the United States.

Take a leading role in building the production infrastructure that turns machine learning predictions into measurable actions and outcomes across healthcare markets. You will own the engineering behind a real-time decision platform, connecting models, care teams, payer systems, and feedback loops. Combining AWS-native services with a Databricks lakehouse, you will establish scalable, secure, and cost-efficient systems that operate under strict protected health information (PHI) controls. You will define technical standards for decisioning, streaming, MLOps, and generative AI applications while remaining hands-on with critical components. Working closely with data science, engineering, medical economics, clinical, and operations teams, you will ensure that models are reliable, measurable, and ready for production. This is a senior individual contributor position with significant technical ownership and influence over the platform's long-term architecture.

Accountabilities

As Lead ML/AI Engineer, you will own the engineering foundations that connect model outputs to real-world decisions, ensure reliable feedback and measurement, and establish production standards across the ML/AI platform. Your responsibilities will include:

• Own the decisioning and feedback layer connecting model scores to actions, including action selection and ranking, holdout and experiment assignment, outcome capture, production ROI calculations, and pipelines measuring the impact of actions and channels.

• Lead the engineering implementation, auditability, and reproducibility of production savings calculations in collaboration with medical economics and data science teams.

• Design event-driven, real-time integrations between model outputs and operational systems, including streaming pipelines, versioned schemas, data contracts, replay mechanisms, event ordering, idempotency, and failure handling.

• Define and maintain integration contracts with partner teams to ensure reliable data exchange and system interoperability.

• Establish cost-to-serve standards by defining compute, streaming, inference, and LLM spending budgets at the model and decision levels, making cost a release criterion alongside latency and accuracy.

• Set production standards for ML models, including CI/CD, model registries, alerting, drift monitoring, coverage, and calibration across different cohorts, markets, and payers.

• Build and maintain model promotion gates to ensure that models and ranking systems meet production requirements before deployment.

• Own the target architecture and technical roadmap for the AWS-native infrastructure and Databricks lakehouse, including infrastructure as code, IAM, secure data handling, containerized inference, and managed foundation-model services under PHI controls.

• Define technical direction and production standards for generative AI applications, including LLM pipelines and agentic workflows, with appropriate evaluation, retrieval, guardrails, and cost controls.

• Collaborate with data scientists on modeling and measurement approaches, medical economics teams on savings methodology, and engineering teams on shared pipelines, interfaces, and contracts.

• Establish engineering standards covering code reviews, automated testing, reproducibility, documentation, and release discipline.

• Lead architecture and design reviews, document technical decisions, and mentor engineers and data scientists on system design and production engineering practices.

• Represent the team's technical direction and recommendations to R&D leadership, finance, clinical, and operations stakeholders.

Requirements

The ideal candidate is an experienced ML/AI engineering leader who has built and operated production systems that influence real-world decisions and measure their impact. You should combine strong software and infrastructure expertise with technical leadership, sound engineering judgment, and the ability to collaborate across multidisciplinary teams.

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.

• At least 8 years of experience in ML engineering, MLOps, or software engineering, including 4+ years operating machine learning systems in production.

• At least 2 years of experience serving as the technical lead or architect of a production ML or decisioning system.

• Demonstrated experience building or operating prescriptive production systems, such as recommendation, decisioning, prioritization, or experimentation platforms that allocate constrained resources against measurable outcomes.

• Production experience with AWS data and machine learning services, as well as infrastructure-as-code tools such as Terraform, CDK, or CloudFormation.

• Production experience with Databricks, PySpark, Delta Lake, MLflow, or equivalent technologies.

• Hands-on expertise designing and operating event-driven or streaming systems using technologies such as Kinesis, Kafka, or equivalent, including schema or contract management.

• Strong Python and SQL skills, with practical experience operating production ML workloads such as training pipelines, model serving, feature systems, or ML platform tooling.

• Experience implementing CI/CD for ML workloads and monitoring models and pipelines, including calibration across heterogeneous populations.

• Proven ability to establish engineering standards, improve team practices through code reviews, and mentor technical colleagues.

• Willingness and ability to travel up to 10% for onsite meetings, team collaboration, and company events.

Preferred Qualifications:

• Experience building and evaluating machine learning models using scikit-learn, XGBoost, or PyTorch.

• Exposure to healthcare economics or value-based care, including savings methodologies, attribution, and payer contract constraints.

• Experience with dbt and lakehouse data modeling.

• Familiarity with healthcare data, including claims, pharmacy, eligibility, prior authorization, and electronic health records (EHR), as well as PHI handling requirements.

• Experience with uplift modeling, bandit algorithms, sequential decisioning, or holdout-based measurement in production.

• Experience with containerized model serving and staged or canary deployment strategies.

• Familiarity with Amazon Bedrock or other managed foundation-model platforms operating under a HIPAA Business Associate Agreement (BAA).

• Experience with agentic frameworks and production retrieval systems.

• Demonstrated experience building or operating LLM-based applications, including evaluation frameworks and guardrails.

Core Competencies:

• Engineering Mentality: Identifies common technical challenges and builds reusable platforms that make future model deployments faster and safer.

• Scientific Approach: Treats system designs as hypotheses, instruments performance, and adapts based on measurable evidence.

• Simplicity: Avoids unnecessary complexity and creates maintainable systems for future users and engineers.

• Ownership: Takes systems from design through deployment and monitoring, remaining accountable for their real-world performance and outcomes.

• Collaboration: Works effectively across data science, data engineering, software engineering, medical economics, clinical, and operations teams to establish clear interfaces and shared standards.

• Communication: Explains technical systems, costs, and business impact in clear terms that clinical and financial stakeholders can use.

Benefits

• Remote-first work environment, with the option of a hybrid arrangement in Nashville.

• Generous paid time off (PTO) and holiday plans.

• Paid parental leave and support for work-life balance, flexibility, and autonomy.

• Medical, dental, and vision insurance starting on Day 1.

• Life and disability insurance.

• Wellness resources and an employer HSA contribution.

• 401(k) retirement plan with employer matching contributions.

• Opportunity to contribute to meaningful healthcare initiatives and improve patient outcomes through technology.

• Inclusive and collaborative working environment that encourages honest feedback, diverse perspectives, and authenticity.

• Commitment to equitable compensation and employee well-being.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Jobs in the United States