Machine Learning Engineer - Generative AI

Qubit Analytics; Greater London; Remote; GBP 40,000 - 80,000

Job description

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We are seeking a Machine Learning Engineer to join our team in Liège, Belgium. We are open to candidates from any location and support remote work arrangements.

You will design, implement, and optimize advanced generative AI models, enabling real-time performance. The role offers a unique opportunity to work on challenging technical problems while contributing to the advancement of generative AI.

Key Responsibilities

1. Develop and optimize generative models (GANs, diffusion models) for real-time image-to-image tasks.
2. Discuss and implement strategies for model optimization, such as custom CUDA kernels, pruning, quantization, and ONNX optimization.
3. Collaborate on integrating advanced models into production pipelines while maintaining performance at scale.
4. Research and experiment with cutting-edge techniques to push the boundaries of real-time generative AI.
5. Work closely with a multidisciplinary team to align research objectives with business needs.

Qualifications

1. Strong expertise in machine learning, and machine learning frameworks (e.g., PyTorch, TensorFlow).
2. Solid foundation in statistics and experience designing scalable algorithms.
3. Master’s or Ph.D. in Computer Science, Mathematics, or a related field.
4. A passion for experimentation, innovation, and tackling complex challenges.

What We Offer

1. A dynamic, research-driven environment where you can shape the future of generative AI.
2. Opportunities to work on cutting-edge projects with real-world impact.
3. A culture that values autonomy, creativity, and collaboration.
4. Flexible hybrid working arrangements with competitive compensation and benefits.

Seniority level

Entry level

Employment type

Full-time

Job function

Engineering and Information Technology