Machine Learning Engineer Intern, Customer Identity Cloud (Summer 2024)

United States; Canada

Applications have closed

Okta

Okta's Workforce and Customer Identity Clouds enable secure access, authentication, and automation—putting identity at the heart of business security and growth.

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Get to know Okta


Okta 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.

The CIC Engineering Team

Okta’s Customer Identity Cloud (CIC), powered by Auth0 technology, is an easy-to-implement authentication and authorization platform designed by developers for developers.  We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-Ø global service to deliver convenience, privacy, and security so customers can focus on innovation.

The Software Engineering Internship Opportunity

We are looking for University students pursuing a Computer Science, Engineering, Statistics or related degree who are interested in a 12-week Summer 2024 Internship and that 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. You are a problem solver who cares about making a meaningful impact and enjoys working as part of a collaborative, high growth, distributed team. 

You will join our Machine Learning team. Our team is responsible for building machine learning models, and developing various infrastructure and platform components to scale up machine learning operations.

We Offer

High priority projects, great mentors, professional development opportunities and access to Okta leaders in an inclusive and collaborative environment. 

As an intern on the team, you will be embedded in one of our core teams and will have opportunities to learn about the broader organization. You will have the ability to be a part of supercharging our next phase of growth. You will gain meaningful experience working directly with global team members to address real-world challenges and create innovative value for our customers.

What you’ll be doing

  • Design and implement machine learning models, platform components, and data pipelines. 
  • Participate in project planning, design, development, and code reviews.  
  • Contribute to iterative improvements to our systems.
  • Communicate verbally and in writing to business customers and leadership teams with various levels of technical knowledge, information about our systems, and data insights and recommendations. 
  • Collaborate across Engineering, Product Management, Security and Design teams to solve technical and non-technical challenges.

Qualifications

  • Interest in machine learning, security, software development, and production systems at scale. 
  • Fluency in a programming language such as Python, Java, C++, Scala, etc. 
  • Familiarity with version control systems such as Git. 
  • Understanding of concepts like Web Services, REST APIs, and MLOps
  • Ability to apply knowledge gained in computer science and statistics courses to real world problems.
  • Excellent verbal and written communication. 

And extra credit if you have experience in any of the following! 

  • Working knowledge of Python.
  • Experience with database technologies and SQL.
  • Knowledge of data analytics and data science. 
  • Past summer internship experience, ideally in enterprise software companies

Education and Training: 

  • Graduation date between Dec. 2024- May/June 2025
  • BS, MS, or PhD in Computer Science, Engineering, Statistics or related field.

Okta is committed to building an inclusive work environment where all Oktanauts feel welcomed as their authentic selves—inclusive of all genders, sexual orientations, ethnicities, races, education, ages, or other personal characteristics.

#LI-Remote

What you can look forward to as an Okta employee!

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.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/

Tags: Agile APIs Computer Science Data Analytics Data pipelines Engineering Git Java Machine Learning ML models MLOps PhD Pipelines Privacy Python Scala Security SQL Statistics

Perks/benefits: Career development Equity Flex hours Startup environment

Regions: Remote/Anywhere North America
Countries: Canada United States
Job stats:  314  132  2

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