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We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
Job Title: Senior Machine Learning Engineer
Location: Adobe India, Bangalore
JD:
Adobe is seeking an experienced and innovative Senior Machine Learning Engineer to join our team in Bangalore. The ideal candidate will contribute to cutting-edge AI/ML projects, with a focus on diffusion models and computer vision applications.
Key Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms
- Lead research initiatives in diffusion models and other state-of-the-art ML techniques
- Collaborate with cross-functional teams to integrate ML solutions into Adobe products
- Mentor junior engineers and contribute to the team's technical growth
- Stay current with the latest advancements in ML/AI and propose new areas of research
Requirements:
- MS or PhD in Computer Science, Machine Learning, or a related field
- 5+ years of experience in machine learning, with a strong focus on deep learning
- Proven experience with diffusion models
- Strong background in computer vision (CV)
- Proficiency in Python and deep learning frameworks, particularly PyTorch
- Familiarity with PyTorch Lightning is a significant advantage
- Excellent problem-solving and analytical skills
- Strong communication skills and ability to work in a collaborative environment
Preferred Qualifications:
- Publications in top-tier ML/CV conferences or journals
- Experience with large-scale ML systems and distributed computing
- Familiarity with Adobe's product ecosystem
- Contributions to open-source ML projects
What We Offer:
- Opportunity to work on impactful projects at a global scale
- Competitive salary and benefits package
- Professional development and growth opportunities
- Collaborative and innovative work environment
Adobe is an equal opportunity employer. We welcome applications from candidates of all backgrounds.
To apply, please submit your resume, relevant publications, and a brief description of your most impactful ML projects.
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