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Machine Learning Developer Intern Jobs in Texas (NOW HIRING)

Machine Learning Engineer

Austin, TX · On-site

$100 - $130/hr

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type: Full timeposted on: Posted Yesterdayjob requisition id: REQ-12438# **As passionate about our people ...

The role involves developing and optimizing machine learning models, managing large-scale datasets ... Avride is a developer and operator of autonomous vehicles and delivery robots. Founded in 2017, the ...

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical ...

Machine Learning Engineer

Frisco, TX · On-site

$140 - $190/hr

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team building the next generation of Intelligent Transportation Systems . In this role, you will design ...

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... Work with DevOps teams to automate deployment processes, monitor system performance, and ensure the ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team building the next generation of Intelligent Transportation Systems . In this role, you will design ...

Showing results 41-60

Machine Learning Developer Intern information

What does a machine learning developer intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a machine learning developer intern?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities in Texas are hiring for Machine Learning Developer Intern jobs?

Cities in Texas with the most Machine Learning Developer Intern job openings:

Machine Learning Engineer

Q2 India

Austin, TX • On-site

$100 - $130/hr

Other

Medical

Posted 14 days ago


Job description

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type: Full timeposted on: Posted Yesterdayjob requisition id: REQ-12438# **As passionate about our people as we are about our mission.**Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology—and we do that by empowering our people to help create success for our customers.Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our “Circle of Awesomeness” award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.**SUMMARY**The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning capabilities and support business innovation.Note: Specific tools, technologies, certifications, or travel requirements may be customized by the hiring manager**RESPONSIBILITIES**• Design and implement machine learning algorithms and models for various business applications• Conduct research and experimentation to advance machine learning capabilities• Collaborate with cross-functional teams to integrate AI solutions into production environments• Analyze large datasets to extract meaningful insights and support data-driven decisions• Develop scalable machine learning pipelines and systems• Maintain up-to-date knowledge of emerging AI and machine learning trends• Ensure the quality and performance of AI systems through testing and validation**EXPERIENCE AND KNOWLEDGE**• Bachelor’s degree in related field and 5–8 years relevant experience• Proven experience in ML model development and deployment• Strong knowledge of statistics, optimization, probability theory, and experimental methodologies• Proficiency in programming languages such as Python, R, or Java• Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn)• Familiarity with cloud platforms and scalable computing resources• Strong analytical, problem-solving, and collaboration skills*This position requires fluent written and oral communication in English.**Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.***Health & Wellness*** Hybrid Work Opportunities* Flexible Time Off* Career Development & Mentoring Programs* Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents* Community Volunteering & Company Philanthropy Programs* Employee Peer Recognition Programs – “You Earned it”Click to find out more about the benefits we offer.**Our Culture & Commitment:**We’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare—offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (). We believe in making an impact—in the industry and in the community.We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.*Applicants in California or Washington State may not be exempt from federal and state overtime requirements***Mission**In 2004, Q2 founder Hank Seale set out to build a different kind of company. Our mission, to build strong and diverse communities by strengthening their financial institutions, is at the heart of everything we do.**Vision**Our vision is to create meaningful financial experiences throughout the financial journey so our customers can focus on building lasting relationships with their account holders. To get there, we combine the must-haves of digital banking – feature functionality, operational excellence and integrations – with the next-generation of technology principles: data-driven insights, open technology and design thinking. We call this philosophy FinX, and it spans everything we do, from product development and platform architecture to how we hire.**Values**Providing superior software and service starts with our purpose-built culture, defined by our Ten Guiding Principles. These principles were established by Hank Seale, our founder, and have served as a constant reminder of how Q2 employees should conduct themselves with peers, customers, and partners for 15 years. Building something different and special takes the right kind of people, and we hope you’ll join our team. #J-18808-Ljbffr