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Machine Learning Engineer New Grad Jobs in Raleigh, NC

Deloitte

AI Solutions Architect

Raleigh, NC

$61.25 - $80.75/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Deloitte

AI Engineer - SFL Scientific

Raleigh, NC · On-site

Our engineering team leverages emerging technologies and best practices across data security ... Work with clients to design, develop, and deploy new architectures to support machine learning ...

Deloitte

Senior AI Engineer - SFL Scientific

Raleigh, NC

$101K - $139K/yr

Our engineering team leverages emerging technologies and best practices across data security ... Work with clients to design, develop, and deploy new architectures to support machine learning ...

Qualcomm

CI Infrastructure Engineer

Raleigh, NC · On-site

$76K - $102K/yr

Design, create, and maintain Jenkins pipelines for building, testing, and validating a Machine Learning compiler * Collaborate with compiler engineers to integrate new tests, workflows, and tooling ...

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All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Raleigh, NC

Machine Learning Engineer New Grad information

See Raleigh, NC salary details

$30.6K

$125.2K

$188.1K

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

As of Jun 28, 2026, the average yearly pay for machine learning engineer new grad in Raleigh, NC is $125,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $150,700.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

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 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 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 popular job titles related to Machine Learning Engineer New Grad jobs in Raleigh, NC? For Machine Learning Engineer New Grad jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Raleigh, NC look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Machine Learning Engineer New Grad jobs? Cities near Raleigh, NC with the most Machine Learning Engineer New Grad job openings:
Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Raleigh, NC as of June 2026, with employment types broken down into 77% Full Time, 6% Part Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,174 per year, or $60.2 per hour.
Senior Machine Learning Engineer, Discovery Recommendations

Senior Machine Learning Engineer, Discovery Recommendations

Epic Games

Cary, NC • On-site

$113K - $149K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

WHAT MAKES US EPIC?
At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating.
Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine and game development.
ANALYTICS
What We Do
Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic.
What You'll Do
You will design, build, and optimize the recommendation systems that power Fortnite's Discover experience, serving personalized recommendations to one of the largest player bases in gaming across a massive catalog of creator-built experiences.
You'll work across the full recommendation stack: candidate generation, content ranking, impression allocation, and real-time reranking.
Unlike recommendation systems that operate over a stable catalog, you're working with a massive, rapidly changing content library where new experiences are published daily, quality signals are sparse, and the system's own outputs shape the data it learns from.
In this role, you will
  • Design and implement retrieval, ranking, and reranking models for creator content using deep learning approaches (two-tower architectures, transformer-based sequence models, embedding-based retrieval) and build the user representation systems that power personalized discovery
  • Build and optimize multi-stage candidate generation and impression allocation pipelines that balance relevance, diversity, and fair content exposure across a large and rapidly evolving catalog
  • Design and run A/B experiments to validate model improvements, own evaluation frameworks that capture recommendation quality holistically, and drive the path from experiment to production deployment
  • Collaborate with analytics and content quality teams on ranking signals including genre classification, creator credibility, and content quality metrics
  • Own ML infrastructure decisions: choosing the right tradeoffs between batch, near-real-time, and streaming serving architectures
What we're looking for
  • 5+ years of experience building production recommendation or ranking systems, ideally in a UGC, marketplace, or content discovery context
  • Experience with deep learning for information retrieval and multi-stage recommendation pipelines (candidate generation, scoring, reranking)
  • Demonstrated ability to design and analyze A/B experiments, with awareness of biases inherent to recommendation systems
  • Strong Python engineering skills with experience in PyTorch and large-scale data processing frameworks (Spark preferred)
  • Comfort working in a cloud-based ML environment
  • Experience with explore/exploit strategies, content cold-start, or counterfactual evaluation methods applied to recommendation
  • Experience with content understanding models (NLP, vision, or generative AI) used as ranking features
  • Familiarity with creator economy dynamics and how recommendation design affects content quality and creator incentives
  • Experience with our stack: PyTorch (TorchRec, Transformers), Ray, Databricks, AWS
  • Passion for video games and/or experience with gaming analytics
EPIC JOB + EPIC BENEFITS = EPIC LIFE
Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.
ABOUT US
Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.
Like what you hear? Come be a part of something Epic!
Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here.
Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

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