Deep Learning Modelling Engineer – PhD Program
24 hours ago
At Optiver, we're committed to accelerating your growth in the most dynamic and fascinating industry. As a Machine Learning Engineer, you'll have the opportunity to leverage AI and deep learning to thrive in a fast-paced, cutting-edge environment.
What You'll Work On:- Leverage AI and deep learning to drive innovation and growth in a collaborative environment.
- Design and implement improvements to optimize researcher productivity and quality.
- Blend your development expertise with the best open-source frameworks and tools.
- Leverage cloud infrastructure to solve substantial challenges in computational and data scale.
- Drive experimental rigour through repeatable processes on assured data.
- PhD degree in Computer Science, Mathematics, Statistics, or a related field, with a strong focus on machine learning or deep learning.
- Proven experience with deep learning frameworks such as TensorFlow, PyTorch, Keras, etc.
- Deep understanding of the principles, theories, and concepts underlying machine learning and deep learning technologies.
- Strong programming skills in Python, familiar with data engineering tools and principles.
- Experience with GPUs and other hardware accelerators for deep learning.
- Excellent problem-solving skills, and the ability to work independently and in teams.
- Outstanding communication skills.
We're passionate about empowering individuals and creating diverse teams that thrive. Every person at Optiver should feel included, valued, and respected, because we believe our best work is done together.
Our commitment to diversity and inclusion is hardwired through every stage of our hiring process. We encourage applications from candidates from any and all backgrounds, and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities.
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