Machine Learning Engineer
Description For Machine Learning Engineer
Adobe is seeking a Machine Learning Engineer to enhance their Digital Experience customers' experience. This role involves collaborating with Adobe Research and other business units to build products that revolutionize how companies approach audience creation, journey optimization, and personalization at scale.
The position offers an opportunity to work with a diverse, collaborative team of engineers and scientists in a dynamic, fast-paced environment. Key responsibilities include developing innovative models with Adobe Research, designing and deploying applications powered by predictive and generative models, implementing ML-Ops best practices, and engaging in the full product lifecycle.
The ideal candidate should have an MS in Computer Science, Data Science or Statistics with 3+ years of applied AI/ML experience or a PhD in a related field. Strong understanding of statistical modeling, machine learning concepts, and experience with building large-scale data pipelines is essential. The role requires proficiency in programming languages like Python, Scala, Java, or SQL, and familiarity with ML frameworks such as scikit-learn, SparkML, TensorFlow, or PyTorch.
Adobe offers a competitive compensation package ranging from $120,700 to $228,600 annually, varying by location and experience. The company provides a supportive, innovative environment where you'll work on cutting-edge ML solutions while collaborating with both research and product teams to shape the future of digital experiences.
Responsibilities For Machine Learning Engineer
- Develop innovative models in collaboration with Adobe Research
- Design, develop, and deploy applications powered by predictive and generative models
- Implement ML-Ops best practices for scalable machine learning workflows
- Engage in product lifecycle including architecture, design, deployment, and production operations
- Analyze data to make recommendations for predictive models, quality metrics, and governance approaches
Requirements For Machine Learning Engineer
- MS in Computer Science, Data Science or Statistics with 3+ years of applied AI/ML experience or PhD degree in related field
- Deep understanding of statistical modeling, machine learning, or analytics concepts
- Experience in building large-scale data pipelines
- Proficiency in Python, Scala, Java, or SQL
- Proficiency in ML frameworks (scikit-learn, SparkML, TensorFlow, or PyTorch)
- Experience working with both research and product teams
- Excellent problem-solving and analytical skills
- Excellent communication and relationship-building skills
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