דרושים Meta

Product Manager, Product Intelligence and Recognition will develop and drive new technologies to drive product recognition and help users seamlessly understand products across Metas family of apps.

The Product Recognition teams vision is to build a state-of-the art product recognition platform which identifies products in images or videos. It is used across our family of apps in ads, organic content, and device-captured content (e.g. images perceived through Meta hardware devices like Ray Ban). This allows us to enable a set of use cases which solve significant problems for buyers, advertisers/creators, and Meta.
Product Manager, Product Intelligence & Recognition Responsibilities
The Product Manager will work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for Product Managers who value moving with urgency, are metrics oriented and can initiate and lead cross organization engagement across timezones effectively
Is the primary driver for identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals
Incorporate data, research, and market analysis to inform product strategies and roadmaps
Drive product development with teams of engineers and designers, while maintaining team health
Define and analyze metrics that inform the success of products. Identify and track key performance metrics

Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models.
AI Research Scientist - Generative AI Responsibilities
Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
Work with a large team.
Contribute to publications and open-sourcing efforts.
Mentor other team members. Play a significant role in healthy cross-functional collaboration.
Prioritize research that can be applied to Meta's product development.