TL;DR
Research Engineer (AI): Researching and developing cutting-edge machine learning models for video understanding and generation, contributing to Veo and Gemini. Focus on applying research ideas to high-impact real-world problems, including prototyping, dataset curation, model training, performance optimization, and deployment.
Location: Onsite in Mountain View, California, US or New York City, New York, US
Company
hirify.global is a team of scientists, engineers, and machine learning experts advancing the state of the art in artificial intelligence for widespread public benefit and scientific discovery.
What you will do
- Apply research ideas to high-impact real-world problems.
- Prototype, curate datasets, train models, optimize performance, and deploy solutions.
- Work on Generative Media (video and audio-visual), Multimodal Understanding, and Multimodal evaluations.
- Focus on efficient inference and model optimization.
- Contribute to projects involving Reinforcement Learning.
Requirements
- BSc, MSc or PhD degree in computer science, mathematics, applied stats, machine learning or similar industry experience.
- Knowledge of machine learning, statistics, computer vision, and diffusion model theories.
- Proven experience with Tensorflow or similar ML frameworks (e.g., JAX or PyTorch).
- Recent experience conducting applied research.
- Work onsite in Mountain View, California, US or New York City, New York, US.
Nice to have
- Hands-on experience with training diffusion models.
- Proven industry experience working on projects from proof-of-concept through to implementation.
- Experience in video understanding models and Multimodal LMs.
- Experience in controlled media generation.
- Cross-functional collaboration experience.
Culture & Benefits
- Enhanced maternity, paternity, adoption, and shared parental leave.
- Private medical and dental insurance for employees and dependents.
- Flexible working options.
- Excellent facilities including healthy food, on-site gym, and faith rooms.
- Commitment to diversity, equality, and inclusion.
Hiring process
- Background check required upon successful application and offer.
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