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Machine Learning Engineer New Grad Jobs in Richmond, VA

Sr. Engineer, AI & ML

Richmond, VA · On-site

$103K - $142K/yr

At the heart of our innovation is new digital products. Working on many different aspects of the ... The Senior Engineer in the Data Science and Machine Learning Engineering team at CarMax will be ...

Machine Learning with Python Development

Richmond, VA · On-site

$49.75 - $68.75/hr

Good Machine Learning foundations, practical experience with classification, regression and clustering methods strong python coding, computing fundamentals/data structures, SQL, experience with ...

AI Engineer

Manakin Sabot, VA · On-site

$152K/yr

Leveraging a strong background in machine learning, artificial intelligence, and data science, the ... Open to new approaches and rapidly changing environments Technical Competencies: * Proven ...

AI Engineer

VA · On-site

$152K/yr

Leveraging a strong background in machine learning, artificial intelligence, and data science, the ... Open to new approaches and rapidly changing environments Technical Competencies: * Proven ...

You will work alongside our talented team of developers, machine learning experts, product managers ... McLean, VA: $269,100 - $307,200 for Distinguished Engineer New York, NY: $293,600 - $335,100 for ...

Establish a technology vision and strategy for AI engineering - spanning agentic AI, generative AI, AI workflow automation, machine learning engineering, platform, and services, focusing on business ...

Establish a technology vision and strategy for AI engineering - spanning agentic AI, generative AI, AI workflow automation, machine learning engineering, platform, and services, focusing on business ...

Director, AI/ML Engineering

Richmond, VA · On-site

$181K - $290K/yr

Establish a technology vision and strategy for AI engineering -- spanning agentic AI, generative AI, AI workflow automation, machine learning engineering, platform, and services, focusing on business ...

Lead a team of developers with deep experience in machine learning, distributed microservices, and ... Share your passion for staying on top of tech trends, experimenting with and learning new ...

Lead a team of developers with deep experience in machine learning, distributed microservices, and ... Share your passion for staying on top of tech trends, experimenting with and learning new ...

Senior ML/AI Engineer

Richmond, VA · On-site

$114.90 - $227/hr

Build, train, evaluate, and deploy machine learning models for prediction, classification, NLP ... Explore new tools, libraries, and platforms that can enhance model performance or development ...

New

You will work alongside our talented team of developers, machine learning experts, product managers ... New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other ...

... Machine Learning,Data Science, Data Engineering and Software Engineering. Position Overview ... Working at DPR, you'll have the chance to try new things, explore unique paths and shape your ...

Showing results 41-60

Machine Learning Engineer New Grad information

See Richmond, VA salary details

$31.2K

$127.4K

$191.5K

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

As of Aug 9, 2026, the average yearly pay for machine learning engineer new grad in Richmond, VA is $127,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $153,400.00 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 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 job categories do people searching Machine Learning Engineer New Grad jobs in Richmond, VA look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Richmond, VA are:
What cities near Richmond, VA are hiring for Machine Learning Engineer New Grad jobs? Cities near Richmond, VA with the most Machine Learning Engineer New Grad job openings:

Sr. Engineer, AI & ML

Carmax

Richmond, VA • On-site

$103K - $142K/yr

Full-time

PTO

Re-posted 6 days ago


CarMax rating

8.0

Company rating: 8.0 out of 10

Based on 371 frontline employees who took The Breakroom Quiz

24th of 731 rated retailers


Job description

8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220

CarMax, the way your career should be!

About this job

At CarMax, a Senior Engineer, Artificial Intelligence is a technologist with domain-specific expertise in Generative AI, able to address advanced concepts and feature designs for hosting deep-learning models that generate content with processes and tools for testing, evaluating, and analyzing the AI system. As a member of the GenAI team, you will have a direct impact on improving the performance of our business through machine learning and Generative AI system implementations that drive CarMax's iconic omni-channel customer experience.

Essential Responsibilities:

At CarMax, we are industry disruptors. At the heart of our innovation is new digital products. Working on many different aspects of the customer experience, our Senior Engineers research and discover new opportunities and shape products to fulfill them. From inception to completion, you will develop tools and technology, learning quickly from our spirit of experimentation. You will have a direct impact on improving the performance of our business and ensuring customers can buy the vehicles they want in a way that is right for them!

The Senior Engineer in the Data Science and Machine Learning Engineering team at CarMax will be responsible for in providing reliable and scalable machine-learning capabilities across the organization. This role will closely partner with Data Scientists to design and productionalize machine learning models, including testing and monitoring of the applications and front-end experiences. The ideal candidate will have the substantial experience in software engineering and cloud engineering that is necessary to turn machine learning models into highly visible, mission-critical capabilities that drive CarMax's iconic customer experience and will have a passion for Data Science and Machine Learning.

Minimum Qualifications:

  • 5+ years' software-engineering experience in an enterprise-level environment

  • 2+ years' experience designing and developing on distributed architectures (microservices, Kubernetes, etc.)

  • 2+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support

  • Proficient in the Python programming language

  • 2+ years' experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies

  • Experience in DevOps practices, testing frameworks, and CI/CD

  • Excellent communication skills, adapting to various audience types

  • Experience on a fast-paced, highly collaborative agile team within a Product-oriented organization

  • Ability to positively influence team norms, culture, and technical vision

  • Bachelor's Degree in Computer Science or related Technology field or equivalent experience

Preferred Qualifications:

  • Master's in Computer Science, Engineering, Decision Sciences or equivalent area

  • Proficient in an object-oriented programming language (i.e. C#, Java)

  • Proficient in writing production level code in python (services, applications, etc.)

  • Experience in machine-learning and/or AIaaS with demonstrated knowledge or projects

  • Familiarity with MLOps and industry-standard machine-learning Python libraries

  • Enthusiastic about the vision of building an augmented algorithmic organization

  • Model Development and Deployment (MLFlow, Azure ML, Sage Maker, or others)

  • Data Science Libraries and Algorithms (TensorFlow, Scikit, PyTorch, etc)

Work Location and Arrangement:This role will be based out of the CarMax Midtown office, Richmond VA or CarMax Technology Hub, Plano TX and have a Hybrid work arrangement.

  • Associatesbased in Richmondworkonsite5 days per week.

  • Associates based in Planowork onsite2 days per week.

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.


About CarMax

CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation's largest retailer of used cars, with over 250 locations nationwide.

Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For.

Our Commitment to Diversity and Inclusion:

CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment.

CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.

The annual salary for this position is:

$120,000.00 - $180,000.00

May be eligible for bonus and equity.

Benefits:

Except as otherwise required by state law, CarMax Associates are entitled to the following paid sick, vacation, and holiday time.

Associates that are considered full-time hourly or commission/incentive eligible:

  • To earn up to 48 hours of sick time per year accrued on a per pay period basis and between 80 hours and 200 hours per year of vacation time after a 90 day waiting period depending on years of continuous service with the Company.
  • For 8 hours of pay for each of a total of 6 paid scheduled holidays per year plus 1 floating holiday. If such an Associate does work on a scheduled holiday due to business need, they are eligible for Holiday Premium Pay.

Associates considered full-time salaried are entitled to paid time away with no specified limit as needed for sick, vacation, bereavement, jury duty, holidays, floating holiday, etc. subject to manager approval.

For more details about benefits, please visit our CarMax Benefits website.

Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.


What CarMax employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


CarMax logo

About CarMax

Sourced by ZipRecruiter

CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation's largest retailer of used cars, with over 200 locations nationwide. Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.

Industry

Automobile dealers and finance and insurance

Company size

10,000+ Employees

Headquarters location

Henrico, VA, US