Machine Learning EngineerThe Opportunity Join Adobe and be at the forefront of driving digital transformation. As a Machine Learning Engineer, you will play a key role in developing machine learning models and algorithms. Our team is dedicated to solving complex business challenges through innovative machine learning solutions, empowering companies to understand their operations better and make data-driven decisions to achieve key business objectives.
We work on advanced algorithms for attribution, measurement, forecasting, and planning that enable organizations to optimize their strategies and drive growth. Our solutions are designed to address real-world challenges across diverse industries, helping businesses improve performance metrics and increase efficiency.
You will work in a multi-functional capacity, collaborating closely with product, engineering, and business teams to operationalize advanced machine learning techniques. By joining us, you will directly contribute to the development of impactful solutions that drive measurable value for our business clients.
Our work increasingly intersects with the broader AI landscape, including generative and agentic AI, as we continue to expand what is possible for our clients.
If you are passionate about innovation, solving meaningful problems, and pushing the boundaries of technology, this is the place for you.
What You'll Do - Develop and implement machine learning models and algorithms to solve complex problems
- Work with multi-functional teams to build and deploy scalable machine learning solutions
- Conduct research and stay updated on the latest trends in machine learning and artificial intelligence
- Optimize machine learning models for performance and accuracy
- Analyze large datasets to extract meaningful insights and drive data-informed decisions
- Engage in code reviews and contribute to maintaining high-quality standards in software development
- Explore and apply emerging AI capabilities, including agentic systems and generative AI, as we extend the reach of our core analytical solutions
What You Need to Succeed Educational RequirementsPh.D. degree or equivalent experience in Statistics, Applied Mathematics, Computer Science, or a relevant field, OR Master's degree in these fields with 2+ years of relevant industry experience
Core Skills - Proficient in programming languages such as Python, R, or similar
- Strong foundation in probability, statistics, and mathematical modeling
- Knowledge of common machine learning algorithms and techniques
- Hands-on experience with machine learning frameworks and libraries, including TensorFlow, PyTorch, and Scikit-learn
- Strong analytical and problem-solving skills with a focus on data-driven decision-making
Additional Qualities - Experience contributing to the development and deployment of machine learning models, including in production environments
- Ability to thrive in collaborative, dynamic, and fast-paced settings
- A passion for knowing the latest advancements in machine learning and continuous self-improvement
- Strong communication skills to effectively convey complex technical concepts to diverse collaborators
- Exposure to or curiosity about generative AI and agentic AI frameworks, and how they complement and extend traditional ML workflows
