Machine Learning Engineer 4
Description For Machine Learning Engineer 4
Adobe is seeking an experienced Machine Learning Engineer to join their Applied Research organization, focusing on bringing innovative AI and Generative AI capabilities to Adobe's flagship products. This role represents an exciting opportunity to work at the intersection of creative technology and artificial intelligence.
The position involves developing and optimizing cloud-based ML services that power features across Adobe's creative suite, including Photoshop, Lightroom, Illustrator, and Express. You'll be working with cutting-edge technologies in computer vision and generative AI, while ensuring these services are scalable and production-ready.
As a Machine Learning Engineer 4, you'll be responsible for designing and implementing GPU-optimized ML pipelines, working with state-of-the-art models, and ensuring their efficient deployment in cloud environments. The role requires a strong background in both machine learning and distributed systems, with expertise in technologies like PyTorch, Kubernetes, and AWS.
The ideal candidate will have extensive experience (5+ years) in building and optimizing GPU-intensive ML workloads, along with a deep understanding of model serving, conversion, and optimization techniques. You'll be working in a collaborative environment, partnering with Adobe Research and business units to transform innovative research into production-ready features.
This role offers the opportunity to impact millions of users worldwide through Adobe's creative products, while working with some of the most advanced AI technologies in the industry. You'll be part of a team that's pushing the boundaries of what's possible in creative software, with competitive compensation ranging from $142,700 to $257,600 annually.
Adobe offers a collaborative and innovative work environment, with the chance to work on cutting-edge AI applications in creative technology. The company's commitment to digital experience innovation and its global reach make this an excellent opportunity for someone looking to make a significant impact in the field of applied machine learning.
Responsibilities For Machine Learning Engineer 4
- Contribute to backend services powering ML and Generative AI features across Adobe products
- Design and architect GPU optimized ML pipelines for cloud deployment
- Analyze and improve efficiency, accuracy, scalability of AI workflows
- Design and implement model integration testing and regression testing
- Build and maintain CI/CD pipeline for microservices
- Collaborate with product management and engineering teams
- Ensure scalable, reliable cloud service with observability
Requirements For Machine Learning Engineer 4
- 5+ years of demonstrated ability building and optimizing GPU intensive ML workloads
- Experience architecting cloud services for large scale use
- Experience with Computer Vision models and GenAI technology
- Proficiency in Python, ML, PyTorch, TensorFlow, NVIDIA Triton, ONNX
- Deep understanding of model serving, conversion, and optimization techniques
- Proficient in AWS, Kubernetes, Docker
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