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Entry Level Machine Learning Engineer Jobs in Manvel, TX

Oxy

AI Optimization Engineer

Houston, TX · On-site

... machine learning, and algorithmic techniques to build, maintain, and improve on decision systems ... Required : • Master's degree in Engineering, Applied Mathematics, or a related field. • Strong ...

Pwc

US Tech - AI Engineering Senior Associate

Houston, TX · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

EOG Resources, Inc.

Data Engineer II

Houston, TX

$109K - $131K/yr

Create and deploy both math and machine learning models to support current and future applications ... Bachelor's degree in Computer Science or Engineering or Information Technology.  MINIMUM ...

Capgemini

Entry Level Technologist

Houston, TX · On-site

As an Entry-Level Technology Consultant at Sogeti, you will join one of our core practices based on ... Explore emerging tech-from artificial intelligence/machine learning to cloud-native engineering ...

EOG Resources, Inc.

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

Create and deploy both math and machine learning models to support current and future applications ... Bachelor's degree in Computer Science or Engineering or Information Technology. MINIMUM EXPERIENCE:

Goldenpick Technologies LLC

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Design, develop, and optimize machine learning and deep learning models * Build NLP, computer ... Data Engineering & Processing (Optional) * Collect, clean, and preprocess structured and ...

EOG Resources, Inc.

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

Create and deploy both math and machine learning models to support current and future applications ... Bachelor's degree in Computer Science or Engineering or Information Technology. MINIMUM EXPERIENCE:

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Manvel, TX

Entry Level Machine Learning Engineer information

See Manvel, TX salary details

$28.2K

$65.3K

$111K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for entry level machine learning engineer in Manvel, TX is $65,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,400.00 and $73,900.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What job categories do people searching Entry Level Machine Learning Engineer jobs in Manvel, TX look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Manvel, TX are:

What cities near Manvel, TX are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Manvel, TX with the most Entry Level Machine Learning Engineer job openings:

Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Manvel, TX as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $65,255 per year, or $31.4 per hour.

Autonomy Software Engineering Internship, World Modeling

Persona AI

Houston, TX • On-site

Other

Posted 16 days ago

Job description

Job Title: Autonomy Software Engineering Intern, World Modeling
Department: Robotics Software Engineering
Employment Type: Internship, Fall 2026
FLSA: Exempt
Location: Houston, TX - Onsite
Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona's founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, and even roamed Disney Parks. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims.
We're looking for an Autonomy Software Engineering Intern to help build the world modeling layer of our autonomy stack. You will work hands-on with NVIDIA Cosmos3, curating real-world industrial video data from our customer facilities and fine-tuning models to give our humanoid robots a grounded understanding of the environments they operate in.
This is a paid summer internship based in Houston, TX. You will report to the Behavior Coordination Lead and work directly with the autonomy team alongside our machine learning, perception, and simulation engineers.
Your Role
  • Design and implement autonomy and behavior coordination algorithms for an industrial humanoid platform
  • Work with manipulation, locomotion, and perception engineers to integrate robot skills into autonomous robot behaviors
  • Implement data curation pipelines that enable our robots to understand a variety of real-world industrial tasks.
  • Develop synthetic data generation pipelines for post-training of humanoid world models
  • Design and implement pipelines for autonomous behavior evaluation, benchmarking, and regression testing
  • Turn raw industrial video footage (shipyards, steel fabrication, welding cells) into structured, high-quality training data.
  • Design and evaluate reasoning benchmarks that measure how well a fine-tuned world model grounds language queries in real shipyard and fabrication-plant scenes.
We're Looking For
  • Currently pursuing a BS, MS, or PhD in Robotics, Computer Science, Machine Learning, Electrical Engineering, or a related field; entry level candidates are also welcome.
  • Hands-on experience training, fine-tuning, or evaluating modern deep learning models in PyTorch.
  • Strong Python skills; comfortable writing data processing scripts, training loops, and evaluation harnesses.
  • Working familiarity with at least one vision-language model, large language model, or video understanding model.
  • Practical experience building data pipelines: ingestion, filtering, labeling workflows, deduplication, train/val/test splits.
  • Comfortable working in Linux environments with Git, containers (Docker), and cloud GPU infrastructure.
  • Self-directed and able to make steady progress on an open-ended research problem with weekly check-ins rather than daily direction.
Preferred or Bonus Qualifications
  • Direct experience with NVIDIA Cosmos or comparable world foundation models.
  • Exposure to NVIDIA Isaac Sim, Omniverse, or OpenUSD for synthetic data generation and scene variability.
  • Familiarity with humanoid or mobile-manipulator robotics, ROS/ROS 2, and the broader autonomy stack.
  • Experience with motion capture data, egocentric video capture, or first-person dataset construction.
  • Exposure to behavior trees, task and motion planning, or LLM-driven planning architectures.
  • Familiarity with NVIDIA Isaac Lab, NIM microservices, or the Hugging Face training ecosystem.
  • Prior internship, research, or open-source work on physical AI, embodied reasoning, or robot learning.
Why join Persona AI?
  • You'll work on technology that's redefining the possibilities of robotics and human interaction.
  • Work alongside passionate teammates who value diversity, creativity, and continuous learning.
  • Enjoy full access to advanced prototyping tools, labs, and the freedom to experiment and innovate.
  • We offer competitive intern compensation, a flexible work environment, and meaningful technical mentorship.

Persona AI embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.

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