Remote jobs in the United States

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Added 1 min ago
IG
Enterprise Solution Architect
Insight Global
Remote, United States
- $210,000 to $250,000 USD / year
…mainframe-era dependencies. Familiarity with Java, Spring Boot, .NET, Python, React, Angular, Node.js, and MUMPS-based applications is preferred. Candidates should understand API…
Added 9 mins ago
Expert RAG Engineer
Salvo Software
Remote, United States
We are looking for an Expert RAG Engineer to design, build, and own the retrieval-augmented generation systems behind our AI products. Your core work will be architecting production-grade…
Added 12 mins ago
Senior Software Engineer, B-Corp | Tech for Good (Temporary, Maternity Leave Cover)
Leanpath
Remote, United States
We’re hiring a Senior Software Engineer for a fixed five-month assignment to cover for a teammate on maternity leave. You’ll join our small engineering team as a hands-on individual…
Added 16 mins ago
Senior Staff Manager, Hardware Bringup
Modular
Remote, United States
We are looking for an Senior Staff Manager Engineer to lead the Hardware Bringup team at Modular. In this role, you will own the end-to-end delivery of accelerator bring-up across the…
Added 28 mins ago
Staff Cloud Automation Engineer
CVS Health
Remote, United States
CVS Health is hiring a Staff Cloud Automation Engineer to help define, build, and scale the next generation of enterprise cloud platforms that power infrastructure delivery across AWS,…
Added 1 hour ago
E
Sr. Full-Stack Software Engineer
ELITEBRAIN
Remote, United States
- $50 to $100 USD / hour
For this project, our client is seeking Senior Full-Stack Software Engineers with strong hands-on experience in both front-end and back-end development to support AI training through…
Added 1 hour ago
RM
Senior AI Engineer
Rex Moore Group, Inc.
Remote, United States
- $180,000 to $200,000 USD / year
Integrate: Connect business systems, including our new ERP and CRM, using APIs, webhooks, workflow automation platforms and Python, and keep data clean at the source
Added 1 hour ago
Staff Driver Engineer
Modular
Remote, United States
As a Staff Driver Engineer, you'll work on the layer that sits between Modular's compiler and runtime stack and the silicon - the devices, contexts, queues, synchronization primitives,…
Added 1 hour ago
F
Head of Engineering (Frontier Safety)
FAR.AI
Remote, United States
- $225,000 to $350,000 USD / year
Added 2 hours ago
Design Verification Engineer
MatX
Remote, United States
- Experience with SystemVerilog, Python, C/C++, Bluespec and similar scripting and programming languages for verification and silicon modeling
Added 2 hours ago
Senior Security Engineer, Offensive Security & Remediation
Weight Watchers
Remote, United States
We're hiring a Senior Security Engineer who spends most of their time breaking things. You'll run continuous offensive testing against our TypeScript applications, APIs and AWS…
Added 2 hours ago
H
Senior Applied AI Enginner, AI Platform
Headway
Remote, United States
- $182,750 to $278,500 USD / year
- Experience as a forward deployed engineer, solutions engineer, internal platform engineer, or founder is a plus, as is work on agent frameworks or developer platforms. Healthcare…
Added 3 hours ago
React Full Stack - Senior Software Engineer
Marsh Agency LLC
Remote, United States
…what makes us different and how you can make your mark as a Senior Software Engineer at Marsh…
Added 4 hours ago
Senior Cloud Network Engineer
US AMR-Jones Lang LaSalle Americas, Inc.
Remote, United States
JLL is seeking a Senior Cloud Network Engineer to design, build, secure, and operate enterprise network services across Microsoft Azure, AWS, and GCP. Azure is the primary focus, with…
Added 4 hours ago
Senior Solutions Support Engineer - US East
Wiz, Inc.
Remote, United States
Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship
Added 4 hours ago
PT
Senior AI Implementation Technical Lead
Proactive Technology Management
Remote, United States
- $90,000 to $110,000 USD / year
You do not need to know every tool in our stack on day one. You do need to be a strong engineer who can learn quickly and take ownership.
Added 4 hours ago
Lead Site Reliablity Engineer
Conga
Remote, United States
This is a senior, hands-on role for an engineer who wants influence beyond a single service. You’ll mentor engineers, lead complex reliability initiatives across team boundaries, and serve…
Added 4 hours ago
BH
Senior Product Engineer
Big Health
Remote, United States
- $140,000 to $185,000 USD / year
As the Senior Product Engineer, you will lead the design and delivery of complex features across the full stack - from patient-facing therapeutic experiences to internal tools and data…
Added 4 hours ago
PostgresSQL Senior Data Engineer(Onsite) Overland Park, KS
Netsmart Technologies, Inc.
Remote, United States
Advanced proficiency in multiple programming languages (e.g., Python, Java, Scala) and expert-level SQL knowledge.
Added 5 hours ago
Senior Software Engineer
Anaconda, Inc.
Remote, United States
…AI and data science workflows. As Anaconda transitions from Python for data science to Python for AI, supply chain security has become mission-critical. Scanners, customers, and automated…
Added 5 hours ago
A
Senior Applied AI Engineer
Aboon
Remote, United States
- $220,000 to $240,000 USD / year
As a Senior Applied AI Engineer at Aboon, you'll build and operate the agent systems that handle this work. You'll develop systems to extract and validate data from PDFs and spreadsheets,…
Added 5 hours ago
G
Senior Software Engineer
GridUnity
Remote, United States
- $180,000 to $199,000 USD / year
As a Senior Full Stack Engineer, you will play a critical role in designing, building, and scaling GridUnity’s cloud-based SaaS platform. This is not just a coding role - you will act as a…
Added 6 hours ago
Senior Site Reliability Engineer
Tapcheck
Remote, United States
…a Site Reliability Engineering practice, and we're hiring a Senior Site Reliability Engineer to be the technical anchor of that…
Added 9 hours ago
Senior Data Engineer
Merkle Science
Remote, United States
You don't need blockchain experience. If you're a strong data engineer who wants to learn it, we'd like to hear from you.
Added 10 hours ago
Junior HPC Applications Engineer
Parallel Works
Remote, United States
…has a different answer in each. The role works alongside a senior applications engineer, building software stacks for users and handling second tier diagnosis after about a…

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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Job details

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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Remote jobs in the United States