Assistant Machine Learning Engineer

Staff Machine Learning Engineer (Customer Identity) Location Remote : 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. 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

Our modern approach to identity enables this Tier-Ø global service to deliver convenience, privacy, and security so customers can focus on innovation.

Machine Learning Engineer

The Machine Learning team is responsible for building machine learning models, and developing various infrastructure and platform components to scale up machine learning operations.

The Staff Machine Learning Engineer will help lead, build, scale and maintain the development and production platforms. The ideal candidate will have a deep technical background and hands-on experience in building and deploying Machine Learning systems, as well as promoting a data-driven culture across the organization. They would not hesitate to wrangle data, if necessary, and are acutely familiar with what makes an effective and efficient machine learning team. They will also show passion generally for the field of applied machine learning. Additionally, the candidate will have interest in learning about and potentially contributing toward cutting edge open source Machine Learning and Data Science technologies.

Design and implement infrastructure and platform components for training, deploying, and monitoring machine learning models in production.

Build pipelines to ingest data from myriad sources into a centralized data lake for various use cases.

Collaborate with production engineering teams to ensure that machine learning models integrate successfully into production environments while adhering to performance and availability SLOs.

Participate in project planning, design, development, and code reviews.

Communicate verbally and in writing to business customers and leadership teams with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations.

Partnership across Engineering, Product Management, Security and Design teams to solve technical and non-technical challenges.

Bachelor's degree in Computer Science, Engineering, Statistics or a related quantitative field.

Fluency in a computing language, e.g. Python, Scala, C++, Java, etc.

Experience with building production systems and platforms at scale.

Familiar with full AI/ML lifecycle from model development, training, testing, deployment, monitoring, and refining and iterating.

Knowledge in handling large datasets using SQL and databases in a business environment.

Knowledge of AWS Redshift, Snowflake or similar databases.

Experience with data workflow platforms such as Airflow, and container technologies such as Docker and Kubernetes.

Familiar with Python and machine learning/data science libraries such as Scikit-learn and Pandas for analyzing and modeling data.

Familiar with multiple machine learning algorithmic methodologies, such as decision trees, logistic regression, Bayesian analysis, and others.

Superior verbal and written communication skills with the ability to advocate technical solutions effectively to data scientists, engineering teams and business audiences.

Combination of deep technical skills and business savvy to interface with all levels and disciplines within our and our customer's organizations.

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Fostering Diversity, Equity, Inclusion and Belonging at Okta

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. 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. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at