Sr. Machine Learning Engineer

Master’s degree with 10+ years of experience or PhD with 5+ years of experience in developing, evaluating ML models, and deploying models into production.
Deep expertise in machine learning, statistical modeling, and data analysis techniques.
Proven track record of developing and deploying ML models in production environments.
Strong programming skills in languages such as Python, Java, or C++, and experience with ML frameworks like scikit-learn, SparkML, TensorFlow, PyTorch, or similar.
Excellent problem-solving skills and the ability to tackle complex technical challenges.
Strong communication and collaboration skills, with the ability to influence and inspire cross-functional teams.
Experience in mentoring and guiding junior engineers, fostering a collaborative and innovative team environment.
A passion for continuous learning and staying current with the latest advancements in machine learning and related technologies.
Experience working with both research and product teams.

Lead the design, development, and implementation of machine learning models and systems that address complex business challenges.
Architect and optimize end-to-end ML pipelines, ensuring scalability, efficiency, and robustness.
Facilitate alignment among senior leadership on innovative ideas and strategic initiatives.
Engage with different teams to incorporate ML algorithms into Adobe products, influencing product strategy and architecture.
Conduct thorough testing, debugging, and performance tuning of ML models and systems.
Mentor and guide junior team members, sharing knowledge and best practices to foster a culture of continuous learning and innovation.
Publish technical papers, contribute to open-source projects, and represent Adobe at industry conferences and forums.
Provide technical leadership and expertise, driving the adoption of new technologies and standards within the organization.

No preferred qualifications provided.