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Machine Learning Engineer New Grad Jobs in North Carolina

Senior Machine Learning Engineer II

Charlotte, NC ยท On-site

$102K - $140K/yr

... Machine Learning Engineer II. We are looking for an experienced software engineer with machine ... New York, NY Salary Range $180,400-$225,500 USD Denver, CO Salary Range $165,600-$207,000 USD ...

Machine Learning Engineer Lead

Raleigh, NC ยท On-site

$115K - $192K/yr

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This ...

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This ...

Machine Learning Engineer Lead

Raleigh, NC ยท On-site

$115K - $192K/yr

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This ...

Machine Learning Engineer Lead

Raleigh, NC ยท On-site

$115K - $192K/yr

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This ...

Sr AI Machine Learning Engineer

Charlotte, NC ยท Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Be comfortable presenting new concepts to technical audiences. * Collaborate with partners ...

Machine Learning Engineer Lead

Raleigh, NC ยท On-site

$115K - $192K/yr

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This ...

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

$40/hr

... new tools and libraries * Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate ...

$40/hr

... new tools and libraries * Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate ...

Showing results 21-40

Machine Learning Engineer New Grad information

See North Carolina salary details

$28.6K

$117K

$175.9K

How much do machine learning engineer new grad jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning engineer new grad in North Carolina is $117,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $140,900.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the most commonly searched types of Machine Learning Engineer New Grad jobs in North Carolina?

The most popular types of Machine Learning Engineer New Grad jobs in North Carolina are:

What job categories do people searching Machine Learning Engineer New Grad jobs in North Carolina look for?

The top searched job categories for Machine Learning Engineer New Grad jobs in North Carolina are:

What cities in North Carolina are hiring for Machine Learning Engineer New Grad jobs?

Cities in North Carolina with the most Machine Learning Engineer New Grad job openings:

Infographic showing various Machine Learning Engineer New Grad job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $117,026 per year, or $56.3 per hour.

Senior Machine Learning Engineer II

Judi Health

Charlotte, NC โ€ข On-site

$102K - $140K/yr

Full-time

Posted 23 days ago


Job description

About Judi Health
Judi Health is a health technology company providing benefit administration solutions to employers, unions, health plans, and government entities. Judi Health replaces fragmented, outdated systems with the industry's first Unified Claims Processingโ„ข architecture, seamlessly consolidating pharmacy and medical benefit administration on a single, secure platform. By delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery, Judi Health helps clients achieve unprecedented operational efficiency and service levels.
At Judi Health, we're deploying the infrastructure our country needs to deliver the healthcare we all deserve. We are the intelligence platform powering benefits plans for millions of Americans and proudly leading the next generation of care. To learn more, visit www.judi.health.
Location: Hybrid 3 days (offices in NYC, Denver, CO and Charlotte, NC area)
Position Summary:
Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer II. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services.
In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare.
Responsibilities:
  • Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
  • Develop and maintain backend services using Python, focusing on AI-driven applications.
  • Design and implement APIs for seamless integration with AI models and services.
  • Design multi-agent orchestration patterns (e.g. supervisor/subagent architectures, tool-use boundaries, human-in-the-loop gating) and evaluate architectural tradeoffs for scaling agent development across teams.
  • Contribute to the development and scaling of the retrieval/search infrastructure underlying RAG systems (e.g. vector search clusters, embedding pipelines, capacity planning)
  • Build and maintain CI/CD pipelines supporting the build, test, and deployment of agentic AI systems.
  • Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning.
  • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
  • Participate in code reviews, testing, and quality assurance processes.
  • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services.
  • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.
  • Document and communicate development processes, system designs, and architectural decisions.
  • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.

Required Qualifications:
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field.
  • Minimum 6+ years of experience in industry with a strong focus on ML solutions development and production deployment.
  • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.
  • Strong proficiency in Python and familiarity with ML libraries such as PyTorch.
  • Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies
  • Familiarity with cloud platforms such as AWS or Azure, including hands-on experience with containerized deployments
  • Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience developing and fine-tuning prompts on any of the GenAI services
  • Experience designing evaluation frameworks for non-deterministic/agentic AI systems
  • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
  • Passion for customer, innovation, product quality, service excellence, and test engineering
  • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.
  • Experience working with microservices/an API-based application paradigm.
  • Good written communication skills that enable collaboration in a remote environment.

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
New York, NY Salary Range
$180,400-$225,500 USD
Denver, CO Salary Range
$165,600-$207,000 USD
Charlotte, NC Salary Range
$150,400-$188,000 USD
All employees are responsible for adherence to the Judi Health Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.