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Senior Machine Learning Engineer, Generative AI (Customer Identity)

Okta

Bellevue (WA)

Remote

USD 150,000 - 226,000

Full time

3 days ago
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Job summary

An established industry player is seeking a Machine Learning Engineer to join their innovative team. This role focuses on building and scaling Generative AI use cases, integrating Large Language Models, and developing robust platform components. The ideal candidate will have a strong technical background in AI/ML systems and a passion for applied technologies. Join a forward-thinking company that values diverse perspectives and fosters a flexible work environment, where your contributions will drive significant impact in the realm of digital identity and security.

Benefits

Health insurance
Dental insurance
Vision insurance
401(k)
Flexible spending
Paid leave
Flexible work arrangements

Qualifications

  • Proficiency in programming languages such as Python, Scala, C++, or Java.
  • Experience with Generative AI platforms and scalable production AI/ML systems.

Responsibilities

  • Design and implement infrastructure for leveraging LLMs in production.
  • Collaborate with engineering teams to integrate AI/ML systems.

Skills

Python
Scala
C++
Java
Generative AI platforms
LLMOps
CI/CD
Infrastructure as Code (IaC)
Prompt engineering
Problem-solving

Education

Bachelor's degree in Computer Science
Engineering degree

Tools

AWS Bedrock
OpenAI
TensorFlow
PyTorch
Airflow
Docker
Kubernetes
LangChain
FastAPI

Job description

Get to know Okta

Okta is The World's Identity Company. We enable everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds provide secure yet flexible access, authentication, and automation, transforming how people navigate the digital world. We place Identity at the core of business security and growth.

At Okta, we celebrate diverse perspectives and experiences. We are not seeking someone who checks every box but are looking for lifelong learners who can contribute their unique experiences to make us better.

Join our team! We are building a world where Identity truly belongs to you.

The Auth0 Engineering Team

Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We facilitate safe, secure, and seamless access to applications for over 100 million daily logins worldwide. Our modern identity approach enables this Tier-0 global service to deliver convenience, privacy, and security, allowing our customers to focus on innovation.

Machine Learning Engineer

The Machine Learning team is responsible for building ML models, leveraging Generative AI, and developing infrastructure and platform components to scale AI/ML operations.

This role involves building and scaling Generative AI use cases, including integrating Large Language Models (LLMs) and developing reusable platform components. The ideal candidate will have a strong technical background, hands-on experience in deploying AI/ML systems, and a passion for applied AI/ML. They should be comfortable managing data and promoting a data-driven culture within the organization. An interest in cutting-edge open source AI/ML technologies is also desirable.

Responsibilities
  1. Design and implement infrastructure for leveraging LLMs in production.
  2. Optimize LLMs for response quality and performance.
  3. Create workflows to process data from various sources into knowledge bases for different use cases.
  4. Collaborate with platform engineering teams to ensure successful integration of AI/ML systems into production environments, meeting performance and availability standards.
  5. Participate in project planning, design, development, and code reviews.
  6. Communicate effectively with business stakeholders and leadership, sharing insights and educating them about our systems.
  7. Partner with Engineering, Product Management, Security, and Design teams to address technical and non-technical challenges.
Basic Qualifications
  1. Proficiency in a programming language such as Python, Scala, C++, or Java.
  2. Experience with Generative AI platforms like AWS Bedrock or OpenAI.
  3. Experience developing scalable production AI/ML systems, including RAG and embedding workflows.
  4. Knowledge of LLMOps, CI/CD, and Infrastructure as Code (IaC).
  5. Understanding of the full AI/ML lifecycle from development to deployment and monitoring.
  6. Skills in prompt engineering and setting guardrails.
  7. Excellent communication skills, both verbal and written.
  8. Strong troubleshooting and problem-solving skills in a fast-paced environment.
Preferred Qualifications
  1. Bachelor's degree in Computer Science, Engineering, or a related field.
  2. Experience with training and fine-tuning models at scale, including LLM evaluation.
  3. Familiarity with ML frameworks like TensorFlow, PyTorch, data platforms like Airflow, and containerization technologies such as Docker and Kubernetes.
  4. Experience with Python and libraries like LangChain and FastAPI.
  5. Ability to work with ambiguity, self-motivate, prioritize, and deliver results in a dynamic environment.
  6. Ability to bridge deep technical skills with business acumen to collaborate across organizational levels.

#LI-Remote

#LI-SH1

The annual base salary range for candidates in the San Francisco Bay Area is $169,000—$253,000 USD. For candidates in California (excluding SF Bay Area), Colorado, New York, and Washington, the range is $150,000—$226,000 USD. Actual salary depends on skills, experience, and location. We also offer equity, bonuses, and benefits including health, dental, vision, 401(k), flexible spending, and paid leave. For more details, visit https://rewards.okta.com/us.

What you can look forward to as a Full-Time Okta employee!
  • Amazing Benefits
  • Making Social Impact
  • Developing Talent and Fostering Connection & Community

Okta fosters a flexible, empowering work environment with top tools, technology, and benefits. We support diverse work arrangements to help employees thrive. Learn more and find your place at Okta Careers. Some roles may require travel for onboarding.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, or other protected status. We accommodate applicants with disabilities upon request. For privacy details, see our Privacy Policy.

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