Senior Research Engineer/Scientist - On-Device Transformer Models

About the Role

Working in a hybrid model, with four days a week spent in the office, you will collaborate closely with cross-functional teams to push the frontier of what is possible with multimodal models. This role is not just about advancing the state-of-the-art in AI research; it's also about translating those advancements into tangible, real-world applications that can transform how humans interact with technology.

Given the cutting-edge nature of this role, it's essential to be in an environment that encourages open collaboration and the sharing of ideas. Openai's San Francisco office serves as a hub for these interactions, providing a unique opportunity for talented professionals to come together and shape the future of computing.

What You Will Do

• Train and evaluate state-of-the-art multimodal models along axes that are crucial for the future of devices.
• Develop novel architectures that can improve model performance, especially in scenarios where scaling the models themselves is not feasible.
• Collaborate with GPU kernel engineers to optimize model performance, though direct CUDA experience is not required.
• Conduct rigorous scientific experiments to ensure confidence in the research findings and the capabilities developed.
• Work closely with the design team to integrate model outputs into user-centric applications, ensuring a seamless user experience.
• Analyze existing models and propose enhancements to increase their efficiency and relevance to real-world problems.
• Participate in the development of best practices for model training, evaluation, and deployment in resource-constrained environments.
• Engage with the broader research community through publications and presentations, furthering Openai's mission and reputation.
• Contribute to the development of the team's research agenda, ensuring alignment with the company's overall goals and objectives.

What We Are Looking For

• A research background related to developing on-device transformer models, with a strong publication record in relevant conferences and journals.
• Experience in training and evaluating large-scale machine learning models, particularly in multimodal settings.
• Proficiency in one or more programming languages, with Python being a plus, and experience with deep learning frameworks such as TensorFlow or PyTorch.
• Strong understanding of performance optimization techniques, especially in the context of GPU-accelerated computing.
• Experience working in a collaborative environment, with the ability to communicate complex technical ideas effectively.
• A Ph.D. in Computer Science or a related field, with a focus on machine learning, artificial intelligence, or a closely related area.
• Familiarity with agile development methodologies and version control systems like Git.

Nice to Have

• Prior experience working on projects involving natural language processing, computer vision, or other areas of multimodal learning.
• Knowledge of containerization tools like Docker and experience with cloud platforms for large-scale model training.
• Participation in open-source projects or personal endeavors that demonstrate your passion for AI research and development.
• Experience in mentoring junior researchers or engineers, contributing to a culture of knowledge sharing and growth.

Benefits and Perks

• The opportunity to work on cutting-edge AI research with a talented team of researchers and engineers.
• A competitive compensation package, including salary, equity, and benefits, tailored to attract and retain top talent.
• A generous parental leave policy, ensuring that our employees can care for their loved ones without worrying about their job security.
• Comprehensive health insurance, including medical, dental, and vision coverage, to support the well-being of our team members and their families.
• Access to mental health resources and employee assistance programs, recognizing the importance of mental wellness in today's fast-paced work environment.
• A remote stipend to support your home office setup, acknowledging the importance of a comfortable and productive work environment, regardless of location.

• Highlight your research background: Emphasize your experience in developing on-device transformer models and your publication record in top-tier conferences and journals.
• Showcase your coding skills: Share examples of your proficiency in Python, TensorFlow, or PyTorch, and explain how you've applied these skills in previous projects.
• Prepare to talk about model optimization: Be ready to discuss your approaches to optimizing model performance, especially in resource-constrained environments.
• Discuss your experience with collaborative projects: Highlight any experience working in teams, especially in agile development environments, and how you contributed to those projects.
• Be prepared to discuss ethical considerations: Given Openai's focus on ensuring AI benefits humanity, be ready to discuss how you've considered ethical implications in your previous research or projects.
• Review Openai's mission and values: Understand the company's stance on AI development and deployment, and be prepared to discuss how your own values and goals align with those of the company.