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Full Time Machine Learning Engineer New Grad Jobs in Houston, TX

NobleAI

Lead Machine Learning Engineer

Houston, TX · Remote

$104K - $138K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI, you will be responsible for architecting, building, and deploying intelligent features to our VIP ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI, you will be responsible for architecting, building, and deploying intelligent features to our VIP ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI, you will be responsible for architecting, building, and deploying intelligent features to our VIP ...

Pivotal Solutions

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Design, develop, and deploy advanced AI and machine learning models to solve complex business ... Mentor junior engineers and provide technical guidance on AI best practices, model development, and ...

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All JobsMachine Learning Engineer New Grad JobsFull Time Machine Learning Engineer New Grad JobsFull Time Machine Learning Engineer New Grad Jobs in Houston, TX

Full Time Machine Learning Engineer New Grad information

See Houston, TX salary details

$30.1K

$123K

$184.8K

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

As of Aug 8, 2026, the average yearly pay for full time machine learning engineer new grad in Houston, TX is $122,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $148,000.00 per year, depending on experience, location, and employer.

What does a full time machine learning engineer new grad do?

A Full Time Machine Learning Engineer New Grad is an entry-level professional who designs, builds, and deploys machine learning models as part of a technical team. They often work on tasks such as data preprocessing, developing and testing algorithms, and integrating models into production systems. New grad engineers usually collaborate with data scientists, software engineers, and product teams to solve real-world problems using machine learning. Their responsibilities also include staying updated with the latest advancements in the field and learning best practices for model development and deployment.

What are the key skills and qualifications needed to thrive as a full time machine learning engineer new grad, and why are they important?

To excel as a Full Time Machine Learning Engineer New Grad, you typically need a solid background in computer science, statistics, and mathematics, often demonstrated through a relevant degree or coursework. Familiarity with programming languages like Python, and experience with machine learning libraries such as TensorFlow or PyTorch, as well as tools for data analysis and version control, are essential. Strong problem-solving abilities, effective communication, and a willingness to learn new technologies help new grads stand out in collaborative and fast-paced environments. These skills and qualities are crucial for building effective models, working well within teams, and adapting to the rapidly evolving field of machine learning.

What are some common challenges new graduates face when transitioning into a full-time machine learning engineer role?

New graduates entering a full-time Machine Learning Engineer position often encounter challenges such as adapting to large-scale production systems, collaborating with cross-functional teams, and bridging the gap between academic projects and real-world business problems. Unlike school assignments, industry projects require scalable, maintainable code and thorough documentation. Additionally, new grads must quickly learn to communicate their technical findings to non-technical stakeholders and prioritize tasks amid fast-paced development cycles.

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

AspectFull Time Machine Learning Engineer New GradData Scientist New Grad
Required CredentialsBachelor's in CS, Math, or related; some internshipsBachelor's in Statistics, CS, or related; some internships
Work EnvironmentDeveloping ML models, deploying algorithms, coding in Python/C++Analyzing data, creating reports, statistical modeling
Industry UsageTech, finance, healthcare, focusing on ML systemsTech, marketing, finance, focusing on data analysis

Full Time Machine Learning Engineer New Grad roles focus on building and deploying machine learning models, requiring coding and engineering skills. Data Scientist New Grad roles emphasize data analysis, statistical modeling, and insights. Both roles often share similar educational backgrounds but differ in daily tasks and technical focus.

What are the most commonly searched types of Machine Learning Engineer New Grad jobs in Houston, TX? The most popular types of Machine Learning Engineer New Grad jobs in Houston, TX are:
What are popular job titles related to Full Time Machine Learning Engineer New Grad jobs in Houston, TX? For Full Time Machine Learning Engineer New Grad jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Full Time Machine Learning Engineer New Grad jobs in Houston, TX look for? The top searched job categories for Full Time Machine Learning Engineer New Grad jobs in Houston, TX are:
What cities near Houston, TX are hiring for Full Time Machine Learning Engineer New Grad jobs? Cities near Houston, TX with the most Full Time Machine Learning Engineer New Grad job openings:
Full Time Machine Learning Engineer New Grad jobs near you
Infographic showing various Full Time Machine Learning Engineer New Grad job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $122,971 per year, or $59.1 per hour.

Machine Learning Guru (Autonomous Navigation)**

Talentry, LLC

Houston, TX • Remote

$200K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

Senior/Principal Machine Learning Engineer

200-300k

Remote position possible

Description

  • Develop solutions for autonomous driving, from experimentation to full commercialization.
  • Explore new ideas using deep learning, neural networks, and large foundation models.
  • Work on object detection, tracking, prediction, planning, control, online mapping, and more.
  • Manage the full life cycle of machine learning projects, including data analysis and model verification.
  • Collaborate with product, simulation, and algorithm teams to integrate machine learning technologies.

Qualifications

  • Advanced degree (Ph.D. or Master’s) in computer science, computer engineering, mathematics, physics, or related field.
  • In-depth knowledge and experience in machine learning and/or computer vision, employing bleeding-edge techniques.
  • Knowledge of generative models, model distillation, or model inference acceleration.
  • Familiarity with PyTorch, TensorFlow, and other machine learning platforms.
  • Ability to work independently in a fast-paced environment and collaborate on complex projects.
  • A track record of research publications in top conferences/journals is preferred.

Benefits

  • Work on cutting-edge autonomous navigation technology.
  • Opportunity to contribute to world-first innovations.
  • Vibrant and fast-paced work environment.
  • Exposure to cross-team projects and collaboration.
  • Chance to transform dreams into reality in the future of transportation.
  • Excellent salary and benefits – chance to get in on the ground floor!

** To apply, please answer all screening questions completely. Incomplete questionnaires will result in automatic rejection. **