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Machine Learning Services Engineer

Adobe creates digital experience software, empowering artists and brands with tools for designing and delivering exceptional digital experiences.
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Machine Learning Services Engineer

Adobe is seeking a Machine Learning Services Engineer to join their Firefly GenAI engineering team. This role focuses on enabling and accelerating Adobe's GenAI creative flows powered by state-of-the-art machine learning models. The position involves working with cutting-edge generative AI technologies to transform creative intent into success across Adobe's suite of applications including Firefly, Express, and Photoshop.

The ideal candidate will be responsible for developing backend services for Firefly, creating optimized model pipelines, and working with large-scale distributed systems. They will collaborate closely with ML researchers and data scientists to bring AI experiences to users through cloud-based services. The role requires expertise in Python, C++, and machine learning frameworks like PyTorch and TensorFlow.

Adobe offers a unique opportunity to work with revolutionary content creation applications and be at the forefront of generative AI technology. The company is known for its exceptional work environment and commitment to employee growth through their unique Check-In approach. As part of Adobe's mission to change the world through digital experiences, this role will contribute to empowering creators and brands with cutting-edge AI tools.

The position is based in Bucharest and requires a strong background in cloud computing, container technologies, and AI/ML frameworks. Adobe values diversity and innovation, making it an ideal workplace for those passionate about pushing the boundaries of technology and creativity.

Last updated 2 days ago

Responsibilities For Machine Learning Services Engineer

  • Design and develop GenAI backend services for Firefly
  • Create GPU optimized, efficient model pipelines
  • Work on large-scale distributed systems
  • Collaborate with data scientists and engineers
  • Ensure scalable and reliable cloud services with observability
  • Research new ML and MLOps technologies

Requirements For Machine Learning Services Engineer

Python
Kubernetes
  • Excellent programming skills (Python, C++)
  • Experience with PyTorch and TensorFlow
  • Track record of delivering cloud-scale products
  • Experience with container runtime environments
  • Experience with public clouds (AWS, Azure)
  • Advanced understanding of AI/ML
  • Experience with CI/CD tools
  • Bachelor's / Masters degree in engineering

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