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Algorithm Intern Jobs in Austin, TX (NOW HIRING)

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Algorithm Intern information

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$8

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$24

How much do algorithm intern jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for algorithm intern in Austin, TX is $16.89, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $19.04 per hour, depending on experience, location, and employer.

What does an algorithm intern do?

An Algorithm Intern assists in developing, testing, and optimizing algorithms for use in software applications or systems. Their responsibilities often include researching existing algorithms, implementing new solutions, analyzing data, and collaborating with engineers and data scientists. Interns gain practical experience in coding, problem-solving, and applying mathematical concepts to real-world challenges, usually under the guidance of senior staff. This role provides valuable exposure to the tech industry's practices and helps build skills necessary for advanced roles in software engineering, data science, or research.

What are the key skills and qualifications needed to thrive as an algorithm intern, and why are they important?

To thrive as an Algorithm Intern, you need a strong background in computer science fundamentals, mathematics, and algorithm design, often supported by relevant coursework or a degree in a related field. Familiarity with programming languages such as Python, C++, and tools like Git or Jupyter Notebooks is commonly required. Problem-solving abilities, attention to detail, and effective teamwork are essential soft skills that help interns excel. These skills and qualities are crucial for developing efficient solutions, collaborating on projects, and contributing meaningfully to technical teams.

What types of projects and responsibilities can an algorithm intern expect during their internship?

As an Algorithm Intern, you will typically work on projects involving data analysis, algorithm development, and performance optimization. Daily tasks often include collaborating with senior engineers and data scientists to design, implement, and test algorithms for real-world applications. You may also participate in code reviews, team meetings, and present your results to both technical and non-technical stakeholders. This role provides a great opportunity to gain hands-on experience with industry-standard tools and contribute meaningfully to ongoing projects.

What cities near Austin, TX are hiring for Algorithm Intern jobs?

Cities near Austin, TX with the most Algorithm Intern job openings:

Infographic showing various Algorithm Intern job openings in Austin, TX as of September 2026, with employment types broken down into 15% Internship, 58% Full Time, 18% Part Time, 7% Temporary, 1% Contract, and 1% Summer. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution, with an average salary of $35,124 per year, or $16.9 per hour.

Quantitative Research Intern, PhD (Summer 2027)

Austin, TX

Full-time, Temporary, Internship

Re-posted 9 days ago


Job description

As a Quantitative Research Intern, you'll work alongside researchers, engineers, and traders to tackle some of the most challenging quantitative problems in global financial markets. You'll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to uncover patterns in market behavior. AI-driven research at Optiver is where competitive advantage is built, transforming ideas, models, and insights into trading strategies that operate in live markets.  

This opportunity is also available in our Chicago office.

What You'll Do: 

Led by our dedicated Education team, you'll build a strong foundation in market structure and options theory. This internship follows an apprentice-style learning model where you'll work alongside an experienced researcher and contribute to a project that's aligned with current business needs. Throughout the internship, you'll gain exposure to the AI tools and technologies that support research and development across the business, with the opportunity to contribute to several key areas: 

  • Develop predictive models and machine learning systems to better understand market behavior and identify trading opportunities 
  • Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performance 
  • Build and test statistical and stochastic models for pricing, forecasting, and risk management 
  • Apply modern research techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiency 

What You'll Get:  

You'll join a culture of collaboration, continuous improvement, and excellence, surrounded by curious thinkers and creative problem-solvers. Together, you'll tackle some of the toughest challenges in the financial markets by leveraging cutting-edge machine learning research to develop innovative, real-world solutions. 

In addition, you'll receive: 

  • The opportunity to work alongside best-in-class professionals from over 40 different countries 
  • The opportunity to earn a return internship or full-time offer in Chicago, Austin, or New York City based on performance  
  • A highly-competitive internship compensation package 
  • Optiver-covered flights, living accommodations, and commuting stipends  
  • Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more 

What To Expect

As part of our assessment process, you may be invited to participate in a multi-day, on-site evaluative program. Through hands-on workshops, technical discussions, and direct exposure to our researchers and traders, you'll gain insight into how research is applied at Optiver and how PhD students transition successfully into industry. Attendance and successful completion of this program may be required to receive an internship offer. 

Who You Are: 

  • Currently enrolled in a PhD program in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field with outstanding academic performance 
  • Expected graduation betweenDecember 2027 - June 2029 and available to intern during Summer 2027 
  • Open to full-time opportunities upon graduation in 2028 or 2029 
  • Solid foundation in mathematics, probability, and statistics 
  • Excellent research, analytical, and modeling skills 
  • Experience applying machine learning methods to real-world research problems, such as time-series analysis, prediction, forecasting, pattern recognition, optimization, or decision-making 
  • Proficiency in any programming language 
  • Strong interest in working in a fast-paced, collaborative environment 
  • Fluent in English with strong written and verbal communication skills 

Who We Are:  

Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company. 

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.  

Optiver is supportive of US immigration sponsorship for this role. 

*Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.