Machine Learning Research Engineer

What you'll do

• Develop and adapt AI/ML models for multimodal perception and reasoning.
• Design robust algorithms that integrate visual and language data for comprehensive understanding.
• Conduct hands-on experimentation, model training, and performance analysis.
• Translate product requirements into effective machine learning solutions.
• Communicate research outcomes and actionable insights to technical and non-technical stakeholders.
• Stay current with emerging methods in Vision-Language Models and Multimodal Large Language Models.

What we're looking for

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or relevant industry experience.
• Proficiency in Python and deep learning frameworks such as PyTorch or equivalent.
• Practical experience with training and evaluating neural networks.
• Familiarity with multimodal learning, vision-language models, or large language models.
• Strong problem-solving skills and the ability to work in a collaborative, product-focused environment.
• Ability to communicate technical results clearly and concisely.
• Proven track record of research contributions demonstrated through publications in top-tier conferences and journals (preferred).
• Background in multi-modal reasoning, VLM, and MLLM research with impactful software projects (preferred).