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New Grad Machine Learning Jobs in Dallas, TX (NOW HIRING)

CGI

Machine Learning Operations Engineer

Dallas, TX

$113K - $136K/yr

... machine learning models in production environments. Desired candidate will work closely with ... embrace new opportunities, and benefit from expansive industry and technology expertise. You'll ...

AppFolio

Sr. Machine Learning Engineer

Richardson, TX

$94K - $129K/yr

It enables a new generation of intelligent capabilities across our products, including Realm-X ... Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ...

AppFolio

Sr. Machine Learning Engineer

Richardson, TX

$94K - $129K/yr

It enables a new generation of intelligent capabilities across our products, including Realm-X ... Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ...

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All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Dallas, TX

New Grad Machine Learning information

See Dallas, TX salary details

$25.2K

$42.1K

$87.1K

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

As of Jun 14, 2026, the average yearly pay for new grad machine learning in Dallas, TX is $42,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What are some typical challenges new graduates might face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What are the key skills and qualifications needed to thrive as a New Grad Machine Learning Engineer, and why are they important?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are 'New Grad Machine Learning' roles?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.
What are popular job titles related to New Grad Machine Learning jobs in Dallas, TX? For New Grad Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching New Grad Machine Learning jobs in Dallas, TX look for? The top searched job categories for New Grad Machine Learning jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for New Grad Machine Learning jobs? Cities near Dallas, TX with the most New Grad Machine Learning job openings:
New Grad Machine Learning jobs near you
Infographic showing various New Grad Machine Learning job openings in Dallas, TX as of June 2026, with employment types broken down into 74% Full Time, 15% Part Time, 10% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $42,125 per year, or $20.3 per hour.
Machine Learning Platform Engineer

Machine Learning Platform Engineer

eTeam

Richardson, TX • On-site

Full-time

Posted 2 days ago

Job description

Job Summary:
eTeam is seeking a Machine Learning Platform Engineer to work onsite in Richardson, TX. The role requires strong expertise in ML inference, deployment, and quality validation, with responsibilities including end-to-end ownership from model deployment to user impact.
Responsibilities:
• Should have 7 years of experience with a strong foundation in ML inference, deployment, and quality validation. Should be capable of end-to-end ownership from model deployment to user impact, with the ability to quickly adapt to new technologies.
• Should have strong expertise in ML benchmarking and collaboration, along with hands-on experience deploying models on cloud platforms, preferably GCP. Familiarity with Java/JVM-based systems for model integration, streaming data architectures, and hybrid (on-prem and cloud) environments is essential.
• Must possess solid system design and distributed systems knowledge for troubleshooting, and hands-on experience with ML frameworks such as TensorFlow, PyTorch, or JAX.
Qualifications:
Required:
• 7 years of experience with a strong foundation in ML inference, deployment, and quality validation.
• Capability of end-to-end ownership from model deployment to user impact.
• Ability to quickly adapt to new technologies.
• Strong expertise in ML benchmarking and collaboration.
• Hands-on experience deploying models on cloud platforms, preferably GCP.
• Familiarity with Java/JVM-based systems for model integration.
• Experience with streaming data architectures.
• Experience in hybrid (on-prem and cloud) environments.
• Solid system design and distributed systems knowledge for troubleshooting.
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or JAX.
Company:
eTeam is a staffing agency that also provides payrolling services. Founded in 1999, the company is headquartered in Somerset, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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