Machine Learning Engineer designing and deploying production - grade ML models for Adobe's Video APIs. Collaborating with research and product teams to implement innovative AI solutions.
About the role
- Machine Learning Engineer designing and deploying ML models for Video APIs at Adobe. Collaborating with teams to translate research into scalable systems.
Responsibilities
- Lead the design, development, and deployment of production-grade ML models
- Translate research and prototypes into scalable, reliable ML systems
- Collaborate with product, research, and infrastructure teams
- Build and optimize pipelines for feature engineering, model training, and real-time inference
- Ensure model scalability, reliability, and performance through continuous monitoring
- Implement model testing, validation, and automated QA pipelines
- Contribute to MLOps practices including CI/CD, model versioning, and automated retraining workflows
- Stay ahead of advancements in ML/AI
Requirements
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or equivalent experience
- 6+ years of professional experience building and deploying ML solutions at scale
- Strong programming expertise in Python
- Hands-on experience in PyTorch, TensorFlow, or similar frameworks
- Deep understanding of the end-to-end ML lifecycle
- Strong grasp of model optimization, inference efficiency, and production system integration
- Proven experience with cloud environments (AWS, Azure, or GCP)
- Proficient in data structures and algorithms
Benefits
- Excellent health insurance
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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