We are seeking a Senior Deep Learning Engineer for an excellent opportunity! This role provides an outstanding opportunity to engage in groundbreaking innovation and contribute to the advancement of generative vision technologies. You will work with pioneering methodologies and tools, crafting solutions that push the boundaries of AI capabilities.
Joining NVIDIA means being part of a phenomenal team renowned for its inventions, such as Vision-Language Alignment (VILA), and contributing to impactful work that influences various applications. We offer a collaborative environment that fosters professional growth. You will have the opportunity to collaborate with some of the brightest minds in the field, both within NVIDIA's global network and with leading companies worldwide, making this role perfect for those passionate about advancing AI technology and eager to make a significant impact on the future of the field.
What you'll be doing:
- Invent and build ground breaking techniques for efficient multi-modality model creation and publish the findings in leading journals.
- Contribute to NVIDIA's AI enterprise software to ensure robust and scalable solutions.
- Collaborate with internal and external teams worldwide to drive research and development in multi-modal learning, using different professions and resources across the company.
- Partner with leading scientific organizations and industry pioneers to remain at the forefront of technological advancements and integrate the latest innovations into practical applications.
What we need to see:
- PhD. in Computer Science, Electrical Engineering, or a closely related field or nearing completion of such a program or equivalent experience
- At least 5 years of experience
- Publications in prestigious conferences and journals like NeurIPS, ICLR, and CVPR
- In-depth understanding and active research experience in diffusion models, with a track record of contributing to advancements in this area
- Extensive experience in image and video understanding, generation, and reasoning.
Ways to stand out from the crowd :
- High proficiency in programming and coding
- Degree from a top-tier institution or equivalent experience in a world-class industrial research group
- Faculty membership in a top tier academic institution
- Substantial contributions to multi-modality forefront of research.
- Experience in integrating video-based representations with other models, such as LLMs
Candidates should apply with a detailed CV, publication list, and brief research statement.
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.