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Machine Learning Engineer
| Company | Adobe |
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| Location | San Jose, CA, USA |
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| Salary | $102400 – $196300 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Junior, Mid Level |
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Requirements
- Bachelors in Computer Science, Data Science or Statistics with 2+ years of applied AI/ML experience, including developing, evaluating ML models, and deploying models into production or MS in Computer Science, Data Science, or a related field.
- Deep understanding of statistical modeling, machine learning, or analytics concepts, with a proven track record of solving problems using these methods.
- Experience in building large-scale data pipelines.
- Ability to quickly learn new skills and work in a fast-paced team.
- 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.
- Experience working with both research and product teams.
- Excellent problem-solving and analytical skills.
- Excellent communication and relationship-building skills.
Responsibilities
- Develop innovative models in collaboration with Adobe Research.
- Design, develop, and deploy applications powered by predictive and generative models, with a focus on building autonomous agents and using agentic frameworks for adaptive decision-making.
- Implement ML-Ops best practices to ensure scalable, reliable, and efficient machine learning workflows.
- Engage in the product lifecycle, including architecture, design, deployment, and production operations.
- Understand data to make recommendations for the right predictive models, quality metrics, and governance approaches.
Preferred Qualifications
No preferred qualifications provided.
