Machine Learning R&D Engineer
We’re seeking an ML R&D Engineer to play a key role in building and deploying cutting-edge AI solutions. You’ll contribute to the full lifecycle of generative AI model development. This includes brainstorming new applications, creating prototypes, rigorously evaluating performance, making improvements, and working closely with a team of researchers and engineers to bring your creations to production. This is a hands-on role requiring strong technical skills and a passion for innovation.
Play a key role in developing and deploying generative AI models.
Ideate, prototype, and evaluate new applications.
Improve model performance to meet production standards.
Collaborate with researchers and engineers.
- M.Sc. or Ph.D. in Deep Learning, Computer Vision, or a related field.
- Experience in at least one of the following:
- Publishing generative AI papers in top-tier conferences.
- Developing deep learning models for production.
- Knowledge of classical computer vision techniques and how to integrate deep learning models into a single feature.
- Proficiency in Python and PyTorch.
- Strong communication and teamwork skills.
- Prototyping experience (e.g., computer vision / LLM ) – quickly implementing ideas for features from scratch.
- Knowledge and experience with existing off-the-shelf and open-source models and frameworks (e.g., Hugging Face).
- Keeping up to date with recent trends and papers in the Computer Vision community.
- Experience with distributed training and large model optimization.
- Experience with model efficiency techniques (quantization, pruning, etc.).