Senior Machine Learning Engineer, Data Platform

$284,400 - $284,400/Yr

Adobe - San Jose, CA

Full-time

San Jose, CA

Publishing Industries

About the position

Adobe is seeking a highly strategic and visible role to help evolve its Firefly family of creative generative AI models. This position focuses on designing, architecting, and building data insight dashboards and visualizations, providing reports on large-scale data metrics, and leading the operation of large-scale ETL pipelines. The role is crucial for improving the data platform's operation for machine learning and data science needs, ultimately helping millions of creatives reinvent their work processes.

Responsibilities

• Design, architect and build data insight dashboards and visualizations.
• Provide reports related to large-scale data metrics including data coverage, freshness, and quality.
• Collaborate with data platform engineers and architects to identify requirements for improving the data platform.
• Lead and operate large-scale ETL pipelines in collaboration with other teams.
• Write high quality, product level code that is easy to maintain and test following standard methodologies.

Requirements

• 7+ years of proficiency in Python and SQL.
• Expert in one or more data science tools such as Pandas, Numpy, Octave, R.
• 5+ years of experience building data processing machine learning models in a product environment.
• Experience with machine learning frameworks such as Scikit Learn, TensorFlow, Pytorch.
• Strong fundamentals in statistics and skills in data visualizations.
• Hands-on experience with high-dimensional, large datasets.
• Understanding of concepts in machine learning for data processing (e.g. Anomaly detection).
• Experience with A/B testing and sampling methods.
• B.S., M.S, or Ph.D. in Computer Science, Computer Engineering, Statistics, Mathematics, Physics or a related area.

Benefits

• Competitive salary range of $150,700 -- $284,400 annually based on location and experience.
• Short-term incentives in the form of the Annual Incentive Plan (AIP).
• Potential eligibility for long-term incentives in the form of a new hire equity award.