We are seeking a highly motivated Machine Learning Engineer with a strong background in machine learning and image processing. This role is ideal for a recent PhD graduate (or near completion) from a reputable university who is passionate about developing advanced algorithms and working on cutting‑edge research and applied solutions. University research experience will be considered valuable professional experience.
Key Responsibilities
- Develop, implement, and optimize machine learning models with a focus on image processing and computer vision applications.
- Design and conduct experiments, analyze results, and translate research findings into practical solutions.
- Work with large datasets for model training, validation, and performance improvements.
- Collaborate with cross‑functional teams to integrate models into production environments.
- Document methodologies, research findings, and technical approaches clearly and effectively.
Required Qualifications
- PhD in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related field from a reputable university.
- 1–2 years of experience in machine learning and image processing (academic research experience accepted).
- Strong understanding of computer vision techniques and deep learning architectures.
- Proficiency in Python and common ML frameworks such as TensorFlow or PyTorch.
- Solid foundation in statistics, linear algebra, and optimization techniques.
Preferred Qualifications
- Published research in machine learning, computer vision, or related domains.
- Experience deploying ML models in real‑world applications.
- Familiarity with GPU computing and performance optimization.