Jobs in the United States

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Added 1 min ago
Software Engineer – Digital Asset Management, Retail & Marcom Engineering
Apple
Austin, TX
Our team is looking for a passionate, technically skilled software engineer who thrives in designing scalable distributed backend systems and integrating cutting-edge machine learning and…
Added 1 min ago
Software Quality Engineer, Retail & Marcom Engineering
Apple
Sunnyvale, CA
Apple’s IS&T team is looking for a Software Quality Engineer to contribute to design, analysis and certification of our applications. We are looking for someone who is equally passionate…
Added 4 mins ago
Machine Learning Ops, AI Engineer
Mission Underwriting Services
Remote, United States
Mission is seeking an MLOps and AI Infrastructure Engineer to build and operate production-grade infrastructure across our agentic AI platforms. This hands-on role sits at the intersection…
Added 5 mins ago
Senior Windows System Engineer
HP
Spring, TX · Palo Alto, CA
…to create solutions that integrate seamlessly with existing infrastructure and deliver value to end-users. The role ensures the efficiency, reliability, and performance of software systems.…
Added 6 mins ago
Sr Software Engineer (C#,.NET)
MILWAUKEE ELECTRIC TOOL CORP
Menomonee Falls, WI
…enabling advanced technologies like AI and ML, and managing the infrastructure and security these solutions require across the enterprise. We work to solve business challenges and drive…
Added 6 mins ago
TT
Senior/Staff Product Engineer, Applied AI
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $300,000 USD / year
- Improve backend performance, reliability, and scale across APIs, data systems, and infrastructure.
Added 6 mins ago
TT
Infrastructure Engineer
True Talent Solutions Partners
San Francisco, CA
- $150,000 to $300,000 USD / year
Join an AI company building an enterprise data platform for financial services. You will help design and secure infrastructure for processing sensitive financial information across cloud…
Added 7 mins ago
Principal II AI Platform Engineer, GenAI
Teladoc Health, Inc.
Remote, United States
We are seeking a Principal II Data & AI Platform Engineer to serve as one of the most senior hands-on technical leaders on our Data & AI Platform team. This role will architect, build, and…
Added 9 mins ago
FA
AI & Integration Engineer
FSAP and PETA
Remote, United States
- $85,000 to $110,000 USD / year
Route endpoint, fleet, account, and infrastructure-maintenance requests to the correct Engineering or Helpdesk team
Added 17 mins ago
Software Development Engineer II
Blue Origin LLC
Seattle, WA
This role is part of Enterprise Technology (ET), where we're developing the digital infrastructure needed to build the road to space, with an emphasis on digital capabilities required to…
Added 19 mins ago
Artificial Intelligence/Machine Learning 2
Wyetech
Annapolis Junction, MD
The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be…
Added 27 mins ago
Software Engineer II
Jeppesen ForeFlight
Remote, United States
Jeppesen ForeFlight is seeking a Software Engineer to help with design and delivery of scalable data pipelines, backend services, and cloud workflows for aviation software products. This…
Added 31 mins ago
Staff Hardware Engineer, Optics
MSI - (Marvell Semiconductor Inc.) US
Santa Clara, CA
Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our…
Added 31 mins ago
Sr Staff CAD Engineer
MSI - (Marvell Semiconductor Inc.) US
Santa Clara, CA
Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our…
Added 32 mins ago
TI
Senior Staff SI/PI Engineer
TYLsemi, Inc.
San Jose, CA
- $204,000 to $250,000 USD / year
The AI infrastructure market is exploding. Every hyperscaler, every cloud provider, every AI company is building custom silicon. But they all face the same problem: how do you connect…
Added 32 mins ago
MT
Senior Director, ITP AI Data Platform and Infrastructure
Micron Technology
San Jose
- $239,000 to $472,000 USD / year
JR117282 Senior Director, ITP AI Data Platform and Infrastructure
Added 32 mins ago
MT
Distinguished Member of Technical Staff - ITP AI
Micron Technology
San Jose
- $255,000 to $447,000 USD / year
Deep expertise in multiple AI disciplines, such as Generative AI, agentic AI, machine learning, deep learning, LLMs, AI infrastructure, scientific AI, reinforcement learning, and AI safety…
Added 32 mins ago
Senior Windows System Engineer
HP
Spring · Palo Alto
…to create solutions that integrate seamlessly with existing infrastructure and deliver value to end-users. The role ensures the efficiency, reliability, and performance of software systems.…
Added 33 mins ago
A
Project Engineer
Actalent
Wildwood, FL
- $31 to $43 USD / hour
Job Title: Project Engineer / Project CoordinatorJob DescriptionThis entry-level Project Engineer / Project Coordinator role supports the successful planning, coordination, and execution of…
Added 33 mins ago
A
Project Engineer
Actalent
Wildwood, FL
- $31 to $43 USD / hour
Job Title: Project Engineer / Project CoordinatorJob DescriptionThis entry-level Project Engineer / Project Coordinator role supports the successful planning, coordination, and execution of…
Added 33 mins ago
Applied AI Engineer: Solutions & Infrastructure
Flowcode
NY
Strong working knowledge of APIs, MCP servers, webhooks, databases, and cloud infrastructure.
Added 33 mins ago
Senior FPGA Digital Design & Development Engineer (Hybrid)
Cisco Systems, Inc.
Milpitas, CA · San Jose, CA
…system development programs, shaping the future of hyperscale…
Added 38 mins ago
Senior Platform DevOps Engineer - TS/SCI w/ Poly
Parsons Technical Services, Inc.
MD
…for cyber operations? Are you an experienced DevOps/platform engineer who thrives in a fast-paced environment, enjoys owning infrastructure end to end, and wants to help shape how AI is…
Added 38 mins ago
Full Stack Engineer
True Talent Solutions Partners
San Francisco, CA
On-site, five days per week in San Francisco, California.
Added 38 mins ago
TT
Founding AI Agent Engineer
True Talent Solutions Partners
San Francisco Bay Area, CA
- $150,000 to $220,000 USD / year
…and support participants in clinical trials. As a founding engineer on the agent team, you will own the development of safe, scalable conversational experiences for patients in a regulated…

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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Added 7 mins ago
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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