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Sr Machine Learning Engineer (Applied Researcher)

Adobe is a global technology company that provides digital experience solutions, changing the world through digital experiences from emerging artists to global brands.
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Sr Machine Learning Engineer (Applied Researcher)

Adobe is seeking a Senior Machine Learning Engineer (Applied Researcher) to join their AI Foundation Team at Adobe Express. This is an exciting opportunity to work at the intersection of creative technology and artificial intelligence, developing groundbreaking AI solutions that enhance Adobe's product ecosystem.

The role involves developing sophisticated machine learning models and platforms that power Adobe Express, working with cutting-edge technologies including Large Language Models (LLMs), computer vision, and NLP. You'll be part of a team that's pushing the boundaries of what's possible in creative AI applications.

As a Senior ML Engineer, you'll be responsible for researching, designing, and implementing advanced machine learning solutions that scale. You'll work on integrating state-of-the-art AI technologies, developing robust training pipelines, and creating efficient inference systems. The role requires both technical depth in machine learning and the ability to collaborate effectively with cross-functional teams.

The ideal candidate brings strong expertise in Python, Java, and modern ML frameworks like TensorFlow and PyTorch. You should have experience with large-scale distributed systems, microservices architecture, and MLOps practices. Knowledge of creative domains and imaging technology is highly valuable.

This position offers the opportunity to work on impactful projects at Adobe, a company known for its innovation in creative technology. You'll be part of shaping the future of creative AI tools while working with a talented team of engineers and researchers. The role provides excellent growth potential and the chance to work on challenging problems at the forefront of AI technology.

Last updated 3 days ago

Responsibilities For Sr Machine Learning Engineer (Applied Researcher)

  • Research, design, and implement advanced ML models and pipelines for training and inference at scale
  • Integrate Large Language Models (LLMs) and agent-based frameworks
  • Collaborate with multi-functional teams to translate product requirements into ML solutions
  • Develop robust platforms for continuous model training and experimentation
  • Leverage distributed computing technologies for large-scale data processing
  • Implement reliable APIs and microservices
  • Stay ahead of emerging ML research and tools

Requirements For Sr Machine Learning Engineer (Applied Researcher)

Python
Java
  • PhD or Master's or Bachelor's or equivalent experience in Computer Science, ML, Applied Mathematics, Data Science, or related field
  • Proficiency in Python and Java for ML model development
  • Hands-on experience with deep learning frameworks including TensorFlow and PyTorch
  • Demonstrated experience working with LLMs and agent frameworks
  • Proficiency in computer vision and NLP techniques
  • Work experience in Creative Domains, Imaging Domains
  • Experience in developing and deploying RESTful web services
  • Proficiency with UNIX environments, Git for version control, and Jenkins for CI/CD processes

Benefits For Sr Machine Learning Engineer (Applied Researcher)

Medical Insurance
Vision Insurance
Dental Insurance
  • Comprehensive health benefits including medical, vision, and dental insurance
  • Career growth opportunities
  • Work with cutting-edge AI technologies

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