About the Role
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.
Responsibilities
- 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.
Requirements
Technical Skills
- 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
Professional Skills
- 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.
What We Offer
- Opportunity to work on cutting-edge ML platform technologies.
- Hybrid work model with flexibility to collaborate both remotely and on-site.
- Exposure to a diverse, multicultural environment.
- Growth opportunities toward Principal Engineer (Level 6) and leadership tracks.
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**
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