Machine Learning Engineer 4
Description For Machine Learning Engineer 4
Adobe's Search, Discovery, and Content AI (SDC) team is seeking a Machine Learning Engineer 4 to join their innovative division. This role sits at the heart of Adobe's ecosystem, working on cutting-edge solutions that enable creative professionals and users to access, discover, and interact with digital assets across Adobe's product suite including Express, Lightroom, and Adobe Stock.
The position offers an exciting opportunity to work with extensive datasets and pioneering technologies in generative AI, helping to redefine how users interact with content. As a Machine Learning Engineer, you'll be responsible for developing and optimizing ML models for search, recommendation, and content understanding across diverse content types. You'll work on building scalable generative AI solutions and integrating them into production systems.
Adobe is a global leader in digital experiences, known for empowering creativity worldwide. The company offers a collaborative environment with their unique Check-In approach for continuous feedback and growth. You'll be working with state-of-the-art technologies including TensorFlow, PyTorch, and various deep learning frameworks for computer vision and natural language understanding.
The role requires 6-9 years of experience in building and deploying machine learning systems at scale, along with strong expertise in Python, Java, and distributed systems. You'll be part of a team that values innovation, technical excellence, and the ability to translate complex technical solutions into user-friendly features that impact millions of users daily.
This is an excellent opportunity for someone passionate about machine learning, generative AI, and real-time systems, offering the chance to work on challenging problems while enjoying the benefits and resources of a leading global company with the agility of a startup environment.
Responsibilities For Machine Learning Engineer 4
- Develop and optimize machine learning models for search, recommendation, and content understanding
- Build and deploy scalable generative AI solutions
- Integrate ML models into production systems
- Research and implement techniques in natural language understanding, computer vision, and multimodal learning
- Manage end-to-end ML pipeline including data preprocessing, model training, evaluation, deployment, and monitoring
- Partner with product teams to identify customer needs
- Mentor and provide technical guidance to junior engineers
Requirements For Machine Learning Engineer 4
- Bachelor's or equivalent experience, advanced degree such as a Ph.D. in Computer Science, Machine Learning, Data Science, or related field
- 6-9 years of industry experience building and deploying machine learning systems at scale
- Proficiency in Python and Java
- Strong expertise in machine learning frameworks (TensorFlow, PyTorch)
- Solid understanding of mathematics and ML fundamentals
- Experience with deep learning techniques for computer vision and natural language understanding
- Knowledge of large-scale distributed systems and frameworks
- Strong problem-solving skills
- Excellent communication and collaboration skills
Benefits For Machine Learning Engineer 4
- Work on impactful, large-scale projects
- Benefits and resources of a leading global company
- Startup-like environment
- Career growth opportunities
- Collaborative work culture
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