Machine Learning Engineer

We are looking for a Machine Learning Engineer to join our growing engineering team, building and scaling next-generation Machine Learning (ML) platforms. In this role, you will be a key contributor to designing, implementing, and optimising complex distributed systems that power large-scale ML workloads. You will work in a multicultural, hybrid environment, collaborating with cross-functional teams across engineering, data science, and platform operations.

As a senior engineer, you are expected to take technical ownership of components, mentor peers, and contribute to setting engineering standards and practices.

• →Design, build, and maintain components of ML platforms with a focus on scalability, reliability, and performance.
• →Develop high-quality, production-grade software using Python.
• →Containerise and orchestrate applications with Docker and Kubernetes.
• →Apply advanced software development patterns to ensure clean, maintainable, and reusable code.
• →Work with relational and non-relational databases, ensuring data integrity and efficient queries.
• →Optimize algorithms and workflows for performance and cost efficiency.
• →Collaborate with global teams, contributing to technical design reviews, architecture discussions, and code reviews.
• →Prepare architecture documents and proposals concerning various features that need to be implemented onto the incumbent ML platforms
• →Mentor junior engineers and help shape engineering culture and best practices.

• Python: Proficient, with extensive experience in production environments.
• Docker: Advanced knowledge of containerization, image optimization, and best practices.
• Kubernetes (K8s): Advanced experience in deploying, scaling, and managing workloads.
• Development Patterns: Advanced understanding of design patterns, clean architecture, and software engineering principles.
• Databases: Advanced experience with SQL/NoSQL databases, schema design, and optimization.
• Algorithms: Advanced knowledge of core algorithms (sorting, searching, traversal etc)  and ability to apply them to practical problems.
• Machine Learning: Advanced knowledge and working experience with machine learning services, model pipelines and their optimization

• Strong problem-solving abilities with a focus on delivering scalable solutions.
• Experience working in multicultural teams and hybrid work environments.
• Ability to communicate complex technical ideas clearly to both technical and non-technical audiences.
• A proactive mindset, ownership of work, and willingness to mentor peers.

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. 

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.

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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.