Research Scientist - Computer Vision

United States·SunnyvaleFull-timemid

Data ScienceData ScientistResearch ScientistDataData & AI

2 views0 saves0 applied

Apply Now

Quick Summary

Overview

About the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

Key Responsibilities

As a Research Scientist specializing in Computer Vision your role will be crucial in advancing cutting-edge computer vision technologies and contributing to the development of intelligent systems.

Technical Tools

cpppythonpytorchcode-reviewdeep-learningmachine-learning

About the Institute of Foundation Models

We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

The Role

As a Research Scientist specializing in Computer Vision your role will be crucial in advancing cutting-edge computer vision technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of Computer Vision solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies.

Lead the research of technology for improving efficiency in Computer Vision models while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training.

Design and implement Computer Vision algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks.

Integrate and improve Computer Vision algorithms to work with other models such as LLMs

Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient Computer Vision technology.

Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies.

Write up results in design documents, technical reports, and papers for publication.

Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.

Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.

Minimum: Master’s in Computer Science, a related technical field, or equivalent practical experience.

Preferred: PhD or equivalent research experience in Computer Vision

Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision).

Knowledge of algorithms, including one or more of the following: imaging, computer vision, computer graphics, or parallel computation.

Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms.

Excellent problem-solving and troubleshooting skills to address complex technical challenges.

Effective communication and collaboration skills to work with cross functional teams.

Ability to effectively navigate ambiguity.

Knowledge of modern deep learning techniques and Generative AI for photography

Experience leading research efforts and influencing other researchers.

Experience with efficiency, modularity or related topics for LLMs.

Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile).

Experience in innovative research, contributing to research communities including publishing in forums (e.g., ACL, EMNLP, NAACL, EACL, COLING, ICLR, AAAI, NeurIPS).

Visa Sponsorship

This position is eligible for visa sponsorship.

Benefits Include

*Comprehensive medical, dental, and vision benefits

*Bonus

*401K Plan

*Generous paid time off, sick leave and holidays

*Paid Parental Leave

*Employee Assistance Program

*Life insurance and disability