Machine Learning Engineer [Computer Vision]

Join our team of passionate researchers and engineers from CMU, IITs and IIITs specialized in generative AI modeling and deep learning. We work on exciting deep learning, computer vision and multi-modal technologies that power incredibly engaging user experiences. We are looking to hire smart machine learning engineers and applied research scientists to build high-quality Computer Vision and Image Generation systems.

Responsibilities

• Build vision-language models, image/video generation networks, and multimodal machine learning pipelines.
• Own both research-driven experiment pipelines as well as in-production model quality and capabilities.
• Continuously research and experiment with new approaches, methodologies, and staying up-to-date with the latest advancements in the field.
• Optimize and scale models to meet real-world demands, balancing accuracy and efficiency.

Requirements

• Bachelor's or higher degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience).
• 2+ Years Experience as a Machine Learning Engineer, Data Scientist, Researcher or a similar role with a focus on implementing and training deep neural networks.
• Strong mathematical foundation in computer vision and optimisation approaches.
• Strong programming skills, with proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience working with 2D / 3D computer vision data and designing ground truth benchmarks.
• Passion for startups and the ability to thrive in a fast-paced, dynamic environment.

Bonus

• Extensive knowledge in generative machine learning techniques, including but not limited to diffusion models, GANs, VAEs, and transformer architectures.
• Familiarity with large-scale distributed computing frameworks and cloud-based ML platforms (e.g., AWS SageMaker, Google Cloud AI Platform).