Machine Learning Engineer
Description For Machine Learning Engineer
Adobe is seeking a Machine Learning Engineer to join their Digital Experience team, focusing on transforming customer experience through innovative AI solutions. This role combines cutting-edge ML research with practical implementation, working alongside Adobe Research and various business units to build products that revolutionize audience creation, journey optimization, and personalization at scale.
The position offers an opportunity to work with a diverse, collaborative team of engineers and scientists who are established leaders in the ML space. You'll be responsible for developing and deploying innovative ML models, designing scalable applications, and implementing ML-Ops best practices. The role requires expertise in statistical modeling, machine learning, and large-scale data pipeline development.
As a Machine Learning Engineer at Adobe, you'll contribute to products that impact millions of users worldwide, working at the intersection of research and practical application. The company offers competitive compensation ranging from $120,700 to $228,600 annually, varying by location and experience. Adobe's commitment to innovation, coupled with their mission to change the world through digital experiences, makes this an exciting opportunity for ML professionals looking to make a significant impact.
The ideal candidate should possess an advanced degree in Computer Science or related field, 3-5 years of applied AI/ML experience, and strong programming skills in languages like Python, Java, and SQL. You'll need to demonstrate proficiency with ML frameworks and have experience deploying models in production environments. The role combines technical expertise with collaborative skills, as you'll work closely with both research and product teams to deliver innovative solutions.
Responsibilities For Machine Learning Engineer
- Develop innovative models in partnership with Adobe Research
- Design and build applications powered by predictive models
- Understand data to make recommendation for the right predictive models, quality metrics and governance approaches
- Engage in product lifecycle – architecture, design, deployment, and production operations
Requirements For Machine Learning Engineer
- MS or PhD degree in Computer Science, Data Science or related field required
- 3 to 5 years of applied AI/ML experience - developing, evaluating ML models, and deploying models into production
- Deep understanding of statistical modeling, machine learning, or analytics concepts
- Experience in or knowledge of building large scale data pipeline
- Proficient in one or more programming languages such as Python, Scala, Java, SQL
- Proficient in ML frameworks such as 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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