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No Experience Machine Learning Jobs in Houston, TX

Experience in fine-tuning large language models (LLMs). * Previous experience in professional services or a similar industry, with an understanding of the unique challenges and opportunities it ...

Experience in fine-tuning large language models (LLMs). * Previous experience in professional services or a similar industry, with an understanding of the unique challenges and opportunities it ...

'); background-size: 100%; background-position: top -64px right -200px; background-repeat: no-repeat ... Experience levels * Students * Young professionals * Experts * Job fields * Technicians * Engineers

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No Experience Machine Learning information

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How much do no experience machine learning jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for no experience machine learning in Houston, TX is $21.79, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $24.33 per hour, depending on experience, location, and employer.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.

What are the key skills and qualifications needed to thrive in the no experience machine learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

Can you get a machine learning job with no experience?

Entry-level machine learning roles often require some knowledge of programming, statistics, and data analysis, but many employers are willing to hire candidates with little to no experience if they demonstrate strong foundational skills and a willingness to learn. Building a portfolio through online courses, projects, and certifications can improve chances of securing such positions. Internships and apprenticeships are also common pathways for those new to the field.

What are the most commonly searched types of Machine Learning jobs in Houston, TX?

The most popular types of Machine Learning jobs in Houston, TX are:

What job categories do people searching No Experience Machine Learning jobs in Houston, TX look for?

The top searched job categories for No Experience Machine Learning jobs in Houston, TX are:

What cities near Houston, TX are hiring for No Experience Machine Learning jobs?

Cities near Houston, TX with the most No Experience Machine Learning job openings:

Infographic showing various No Experience Machine Learning job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $45,331 per year, or $21.8 per hour.

Machine Learning Engineer

Bespoke Labs

The Woodlands, TX

Full-time

Re-posted 19 days ago


Job description

  • Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch

  • Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration

  • Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues

  • Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy

  • Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams

  • Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics

  • Implement methods from recent ML papers quickly and turn them into production-grade systems