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Junior Machine Learning Jobs in Frisco, TX (NOW HIRING)

Sr. Software Engineer - AI

Irving, TX · On-site

$117K - $155K/yr

... mentor junior engineers, and contribute to best practices in software development and AI integration. * Stay current with emerging technologies and trends in AI, machine learning, and software ...

A senior Machine Learning Engineer who will innovate and deliver valuable AI and ML solutions for ... junior team members. * Design and guide feature design and implementation of features for the ...

... junior staff, manage projects, and navigate ambiguity while upholding PwC's quality standards. In this role at PwC, you will focus on building AI solutions using foundation models, machine learning ...

New

Work with clients to design, develop, and deploy new architectures to support machine learning ... Mentor, motivate, and coach junior members on technical best practices and inspire professional ...

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation. - Publish high-impact research at top-tier conferences in machine learning or robotics.

Senior AI Engineer - Talent Community

Richardson, TX · On-site

$94K - $130K/yr

Mentor junior AI/ML engineers, providing technical guidance and fostering a culture of continuous learning. * Conduct research and stay current with advancements in AI, machine learning, deep ...

Showing results 21-40

Junior Machine Learning information

See Frisco, TX salary details

$7

$25

$44

How much do junior machine learning jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for junior machine learning in Frisco, TX is $25.23, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $31.06 per hour, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

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

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

What are popular job titles related to Junior Machine Learning jobs in Frisco, TX?

For Junior Machine Learning jobs in Frisco, TX, the most frequently searched job titles are:

What job categories do people searching Junior Machine Learning jobs in Frisco, TX look for?

The top searched job categories for Junior Machine Learning jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Junior Machine Learning jobs?

Cities near Frisco, TX with the most Junior Machine Learning job openings:

Infographic showing various Junior Machine Learning job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $52,476 per year, or $25.2 per hour.

Junior Software Engineer (Remote)/Power bi developer with Snowflake

SynergisticIT

Richardson, TX • On-site

Other

Posted 19 days ago


Job description

LeetCode Strong but Still Unemployed? Build Real-World Project Proof Solving coding problems is important, but LeetCode alone does not always convince employers that you are job-ready. Hiring teams also want to see whether you can build applications, work with frameworks, connect databases, use Git, explain architecture, debug issues, and collaborate in realistic development workflows. SynergisticIT is looking for candidates interested in Java, Spring Boot, full-stack development, APIs, SQL, Git, DevOps basics, Python, data analytics, data science, and ML/AI tracks. This opportunity is ideal for candidates who have strong algorithm practice but need stronger project and interview positioning. Since 2010, we’ve helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience · Please check below links: · Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ · · please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ SynergisticIT JOPP is good for LeetCode-focused candidates because it helps convert coding ability into a more complete job-ready profile. Candidates can build practical applications, prepare for technical and behavioral interviews, improve resume storytelling, and align their skills with employer expectations beyond algorithms. Turn coding practice into career readiness—contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.