2025 University Graduate - Machine Learning Engineer
Description For 2025 University Graduate - Machine Learning Engineer
Adobe is seeking a Machine Learning Engineer to join their team and help shape the future of digital experiences. This role presents an exciting opportunity for recent graduates to apply AI and machine learning techniques to big-data problems, helping Adobe better understand and optimize customer experiences.
The position involves working on cutting-edge projects including attribution, media mix modeling, budget optimization, personalization, causal analysis, and time series analysis. You'll be partnering directly with business units to build products that address challenging business problems throughout the customer lifecycle.
As a Machine Learning Engineer at Adobe, you'll be working in a collaborative environment where you'll develop and implement scalable modeling algorithms for large-scale data in production systems. The role combines theoretical knowledge with practical application, requiring both strong technical skills and the ability to work effectively with cross-functional teams.
The ideal candidate will bring a strong academic background in computer science, statistics, or related fields, along with practical experience in applied statistics, machine learning, and software development. You'll have the opportunity to work with state-of-the-art tools and technologies while solving complex problems that directly impact Adobe's products and customers.
Adobe offers a competitive compensation package ranging from $120,700 to $228,600 annually, along with comprehensive benefits including equity awards and an Annual Incentive Plan. The company is committed to fostering an inclusive environment where innovation thrives and new ideas can come from anywhere in the organization.
This role is perfect for someone who is passionate about machine learning, enjoys working with large-scale datasets, and wants to make a meaningful impact at a company that's at the forefront of digital innovation. You'll be joining a team that values both technical excellence and collaborative spirit, with opportunities for growth and development in your career.
Responsibilities For 2025 University Graduate - Machine Learning Engineer
- Develop predictive models on large-scale datasets to address various business problems with advanced statistical modeling, machine learning, and analytics techniques
- Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems
- Collaborate with product management and engineering groups to develop new products and features
Requirements For 2025 University Graduate - Machine Learning Engineer
- PhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required
- Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts
- Proficient in one or more programming languages such as Python, Scala, Java and C
- Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn
- Knowledge and experience of working with relational databases and SQL
- Strong analytical and quantitative problem-solving ability
- Excellent communication, relationship skills and a strong team player
Benefits For 2025 University Graduate - Machine Learning Engineer
- Annual Incentive Plan (AIP)
- Long-term incentives in the form of a new hire equity award
- Comprehensive benefits package
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