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Machine Learning Research Intern Jobs in Austin, TX

Machine Learning Engineer

Austin, TX · On-site

$100 - $130/hr

RESPONSIBILITIES** • Design and implement machine learning algorithms and models for various business applications • Conduct research and experimentation to advance machine learning capabilities ...

Experience in designing and maintain the infrastructure, CI/CD pipelines, and monitoring systems that take machine learning models from experimental research to scalable, production-ready enterprise ...

New

You'll learn how quantitative research, data, technology, and AI-enabled tools come together to ... Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a ...

Research and implement ML algorithms for a variety of business problems * Automate processes for ... Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software ...

You'll learn how quantitative research, data, technology, and AI-enabled tools come together to ... Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a ...

Formulate research questions to guide the development of neural networks and signal processing ... for machine learning applications for BCI. * Lead the team by performing at a high standard ...

We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll transform groundbreaking research into real-world applications that can change industries, enhance ...

Design, train, and optimize machine learning models including LLMs, multimodal models, transformers, and diffusion architectures * Conduct research on model efficiency, quantization, compression, and ...

Showing results 21-40

Machine Learning Research Intern information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do machine learning research intern jobs pay per year?

As of Aug 15, 2026, the average yearly pay for machine learning research intern in Austin, TX is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

What are popular job titles related to Machine Learning Research Intern jobs in Austin, TX?

For Machine Learning Research Intern jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Research Intern jobs in Austin, TX look for?

The top searched job categories for Machine Learning Research Intern jobs in Austin, TX are:

What cities near Austin, TX are hiring for Machine Learning Research Intern jobs?

Cities near Austin, TX with the most Machine Learning Research Intern job openings:

Infographic showing various Machine Learning Research Intern job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $42,209 per year, or $20.3 per hour.

Machine Learning Engineer

Q2 India

Austin, TX • On-site

$100 - $130/hr

Other

Medical

Posted 9 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