Senior Machine Learning Engineer - Personalization & Recommendation
$172.5k/y-$306.625k/y
Adobe2 days ago
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OnsiteFull-timeSenior
Summary
Adobe is seeking a Senior Machine Learning Engineer - Personalization & Recommendation to join their team in San Jose, CA. The role involves optimizing the experience of Adobe's Document Cloud customers through innovative machine learning models and applications.
About the Role
As a Senior Machine Learning Engineer, you will collaborate with Adobe Research and other business units to develop and deploy applications powered by predictive and generative models. Your responsibilities will include implementing ML-Ops best practices, engaging in the product lifecycle, and making data-driven recommendations for predictive models and quality metrics.
About You
Required:
- MS in Computer Science, Data Science or Statistics with 8+ years of applied AI/ML experience, or PhD in a related field.
- Deep understanding of statistical modeling, machine learning, or analytics concepts.
- Experience in building large-scale data pipelines.
- Proficiency in one or more programming languages such as Python, Scala, Java, or SQL.
- Proficiency in ML frameworks such as scikit-learn, SparkML, TensorFlow, or PyTorch.
Preferred:
- Experience working with both research and product teams.
- Excellent problem-solving and analytical skills.
- Excellent communication and relationship-building skills.
Benefits
- Competitive salary range of $172,500 - $306,625 annually, depending on location and experience.
- Potential for long-term incentives in the form of a new hire equity award.
- Comprehensive benefits package including health, dental, and vision coverage.
Adobe
Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.
San Jose, CA