Machine Learning Engineer Intern (Summer 2025)
Get to know OktaOkta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you.
We are looking for University students pursuing a Computer Science or related degree who are interested in a 2025 Summer Internship and who are passionate about building large-scale, mission-critical software in a fast-paced agile environment. The ideal candidate will share our passion and pride in the simple elegance and usability of our solution and will join an engineering team that strongly believes in automated testing, UX design, and an iterative process.
We are looking for Software Engineer Interns who will be part of a team developing the tools to integrate and build Okta’s enterprise applications and business solutions. In this role you will help to scale our business solutions to the next generation, enabling Okta to be the most efficient, scalable, and best-run company. The vision is to make Okta the system of record and help customers with their journey to the Cloud, continue to automate the journey and lower the barrier of entry to their migration journey.
Our elite team is fast, innovative, and flexible; with a weekly, agile release cycle and individual ownership. We expect great things from our engineers and reward them with stimulating new projects, emerging technologies, and the chance to have a significant impact in a company that is changing the cloud computing landscape forever.
The Cortex team enables product engineering teams to leverage AI/ ML in existing offerings as well as to build new AI /ML products. This Machine Learning Engineer intern role will help build Generative AI use cases from integrating Large Language Models (LLM) to developing reusable platform components. The ideal candidate will have the educational background in building AI/ML systems. They would not hesitate to wrangle data to aid in solving the Generative AI use case. They will also show passion generally for the field of applied AI/ML. Additionally, the candidate will have interest in learning about and potentially contributing towards cutting edge open source AI/ML technologies.
Job Duties and Responsibilities:
- Work with engineering management and assigned mentor to scope and plan engineering efforts
- Design, run, and analyze scientific experiments to advance our infrastructure and platform components for leveraging LLM in production.
- Design and implement core, high-performance, scalable software components
- Tune and optimize LLM to improve response quality and optimize performance.
- Build workflows and pipelines to process data from myriad sources into a knowledge base for various use cases.
- Test-driven development, design and code reviews
- Interface with QA, Product Management, Technical Support, Documentation and UX team
Minimum Required Knowledge, Skills, and Abilities:
- Interest in software development experience, and testing that supports building highly reliable, mission-critical software.
- Ability to program in at least one OO programming language (e.g. Java, C#, GO, Node.js, C++, Python)
- Interest in training and fine tuning models and in LLM evaluation.
- Interest in AI/ML libraries such as LangChain and FastAPI and ML frameworks (e.g. TensorFlow, Spark ML, PyTorch), data workflow platforms (e.g. Airflow), and container technologies (e.g. Docker, Kubernetes).
- Knowledge of web application frameworks, RDBMS & Application Servers (experience in one or more preferred)
Nice to have:
- Past summer internship experience
- Experience building solutions using GCP Vertex AI or AWS services such as Lambda, EC2, Fargate, CloudWatch, SQS, SNS, and SES a strong plus
Education and Training: (In progress) B.S. or MS in Computer Science or related field
Okta’s Intern Program
As an intern, you’ll do real work that matters. While you’re on board, you’ll work on meaningful projects and have an opportunity to see what working at Okta is all about. You’ll also have the support of your mentor and manager to help you develop new skills.
Our interns have the opportunity to build a strong community - with their fellow interns, within their teams, and with the broader company. We want you to grow professionally and you’ll do that through participating in events like our Executive Speaker Series and Brown Bags. And of course, we want you to have fun too.
Interns may choose the format of their internship: either in-person at one of our Okta offices, or virtually. We give our interns the opportunity to choose the option that best suits their needs. We offer 12 week internships in the U.S. in the Summer and 16 week co-ops in Canada.
#LI-Remote #LI-Onsite
What you can look forward to as an Full-Time Okta employee!
- Amazing Benefits
- Making Social Impact
- Fostering Diversity, Equity, Inclusion and Belonging at Okta
Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.
Okta is 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, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.
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