Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role At Okta, identity is at the heart of everything we build. As an Associate Solutions Engineer for Okta, you are a builder, owner, and collaborator who serves as a key technical and business advisor to developer personas across the Australian commercial customers/businesses and the APJ timezone (mostly ANZ). Anchored by Okta’s core values— Love our customers , Build and own it , Always secure. Always on. , and Drive what’s next —you will craft, position, and demonstrate how Auth0 solves critical security challenges throughout the sales cycle. Key Responsibilities Love Our Customers: Partner closely with sales teams as the go-to identity authority, aligning Auth0 solutions directly with developer pain points and business goals through tailored, value-driven product demonstrations. Build and Own It: Architect and execute hands-on Proof of Concepts (POCs) for complex customer use cases, taking full accountability for technical validation alongside cross-functional engineering teams. Always Secure. Always On.: Confidently address in-depth technical, application security, and identity infrastructure inquiries from developers, architects, and CTOs to ensure reliable, high-trust deployments. Drive What’s Next: Serve as the strategic voice of the customer, bringing critical market insights and developer feedback back to Product Management to continuously evolve our platform. Innovate & Share Knowledge: Champion scalable best practices, build reusab
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Role overview
Job description
About the Role
Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide.
In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring.
The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones.
Key Responsibilities
Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences.
Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning.
Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent).
Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs.
Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization.
Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and production monitoring.
Collaborate cross-functionally with data science, product, and platform teams; mentor junior engineers on experimentation rigor, deployment process, and responsible AI.
Stay current with advances in ML/AI and bring relevant innovations into Adobe's products.
Minimum Qualifications
Bachelor’s degree or Master’s degree or equivalent experience in Computer Science, Machine Learning, Data Science, or related field.
5+ years of professional experience building and deploying ML solutions at scale.
Strong programming expertise in Python, with hands-on experience in PyTorch, TensorFlow, or similar frameworks.
Deep understanding of the end-to-end ML lifecycle—from data collection to deployment and monitoring.
Strong grasp of model optimization, inference efficiency, and production system integration.
Preferred Qualifications
Experience in fraud detection, anomaly detection, or behavioral modeling.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
What they are looking for
Skills & requirements
Qualification
Minimum Qualifications Bachelor’s degree or Master’s degree or equivalent experience in Computer Science, Machine Learning, Data Science, or related field
Hiring company
Adobe
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