Machine Learning Engineer

Key Skills

Algorithms, C++, Computer Vision (CV), Deep Learning, Image processing, Java Programming, Machine learning techniques, Natural Language Processing (NLP), Python Programming, Software Development

Job Description

Role:

• Develop algorithms that use deep learning and traditional methods in NLP & computer vision, combined with traditional large complex solutions/codebases.
• Build experiments, algorithms and prototypes that not only yield high accuracy but are also crafted and engineered to scale.
• Collaborate across multiple research and engineering subject areas, making the trade-offs required to rapidly deliver solutions for complex problems.

To be successful in this role, we need someone who has:

• Tech in Computer Science. MS/PhD preferred.
• 3+ years of Industry experience.
• Ability to write efficient, clean, and reusable code in Python and C++.
• Strong fundamentals in Data Structures and sound knowledge of Algorithms.
• Exposure to Document content analysis and/or structure recognition work is preferred.
• Experience working and shipping products/services in Machine Learning, Image processing, Vision and/or NLP is preferred.
• Exposure in building prototypes from scratch and writing maintainable code inside large existing codebases.
• Strong software development skills that encourage code reuse among engineers and researchers.

Why Adobe?

At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.

If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status.