2025 University Graduate - Machine Learning Engineer
On-site
Job Description
Adobe is looking for a Machine Learning Engineer who will participate in various stages of the machine learning pipeline, including data collection, cleaning, preparation, model training and fine-tuning, and evaluation. You will have the opportunity to learn, grow, and apply your knowledge in ML projects. This entry-level role is ideal for those eager to develop their skills and contribute to exciting projects while being mentored by senior ML and Research engineers. We are committed to your professional growth and development. Through ongoing mentorship and access to resources, you’ll have the chance to expand your knowledge of advanced machine learning techniques and be encouraged to contribute ideas, explore new approaches, and continuously improve the processes and models you work on.
Responsibilities
- Contribute to the design and development of Machine Learning technologies for text, image, audio, and video, with a focus on Generative AI.
- Work closely with engineers, researchers, and product managers to implement ML solutions for our Adobe products.
- Collaborate with cross-functional teams, including machine learning engineers, research engineers, and product management, to contribute to new ML features.
- Be comfortable building models leveraging large data
- Preprocess, clean, organize, and evaluate datasets as needed for model training and evaluation.
- Evaluate model performance and improve accuracy.
- Maintain detailed documentation of data processing, model development, testing, and integration.
Job Requirements
- BS degree in Computer Science or equivalent experience required
- Proficient in one or more programming languages such as Python, Java, C++
- Experience with ML frameworks such as SparkML, TensorFlow, PyTorch
- Knowledge and experience with the entire ML training pipeline (data collection, training and evaluation)
- Experience in Large Language Models (LLM), Transformer Models, Natural Language Processing (NLP), Computer Vision, Data Science
- Good verbal and written communication skills
- Good time management and organizational skills
- Self-motivated, self-starter, quick learner, independent, love of learning
