דרושים » אלגוריתמים » Algorithm Developer : Multi-Modal Sensor Calibration /Algorithm team lead

The Reality Labs (RL) organization at Meta is helping people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more, RL is committed to driving the state of the art forward through relentless innovation. The potential to change the world is immense - and were just getting started.

Augmented and Virtual reality will transform the way people come together to work and play. By developing new hardware and software products capable of understanding human appearance, movement and expression, we aim to make it possible for people to feel like they are directly in front of each other, despite being separated by vast distances. By developing new products capable of understanding the human environments, we will enable a metaverse where people can share virtual experiences which interact seamlessly with the real world.

Our XR Tech organization in Zurich is focused on research and development of machine perception technologies from early concepts to production level across all of Metas RL products and surfaces including AR/VR products and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capabilities across a range of product domains including mixed reality, scene and object understanding, world-scale mapping, avatars, AR/VR remote presence / calling, digital fashion, AR Sharing, and more.

Your job will be to both manage and partner with groups working across the full spectrum from research to product development, managing our technical investment portfolio supporting Tracking and SLAM for AR/VR products across different timelines. You will oversee and be responsible for a broad array of state-of-the-art technology areas and product integrations. Prospective candidates should have sufficient technical depth and breadth in the associated set of technologies to make portfolio management, resourcing and roadmap decisions.
Engineering Manager, Computer Vision Responsibilities
Leading an organization comprised of applied scientists and engineers from prototyping across development and integration of advanced systems relying heavily on Computer Vision and Machine Learning technologies.
Owning the development of system requirements, and collaborating with respective teams to mature and integrate technologies necessary to create product architectures that can deliver these requirements.
Engaging cross-functionally with other researchers and engineers to develop concepts that advance the entire product pipeline across hardware, software, integration, infrastructure, and applications.
Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.
Recruit world-class talent and provide technical leadership and guidance to both your team members and your project peers.
Set clear expectations and create a positive work environment based on accountability, in collaboration with the engineering and management teams.
Coordinating with research, user research, art, partnership and legal to both define and execute technology development with key partners & suppliers.
Operate strategically and tactically. Working closely with various organizations to define and execute the long-term strategies and roadmaps and help set direction while staying on top of the day to day software development.
Provide technical leadership and guidance to both your team members and your project peers.

Come join us as we make photorealistic telepresence in VR happen!

Available projects may include, but are not limited to:
* Neural Rendering and relighting of digital humans
* Generative AI models for image and video synthesis
* Motion and behavior synthesis for digital humans
* VR/AR encoding of social signals
* Face model reconstruction and tracking
* Hand model reconstruction and tracking
* Body model reconstruction and tracking
* Hair model reconstruction and tracking
* Cloth model reconstruction and tracking
* Neural Architecture Search and Optimization

Our internships are twelve (12) to sixteen (16) to twenty four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Photorealistic Telepresence (PhD) Responsibilities
Solve research problems in enabling Photorealistic Telepresence.
Collaboration with and support of other researchers across various disciplines.
Communication of research agenda, progress, and results.

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Our team focuses on developing foundation models for remote sensing (i.e., satellite, aerial) imagery. We aim to simplify and enhance various remote sensing tasks including land use/land cover segmentation, object detection, and change detection for use by Google teams and external partners. We also investigate natural language interfaces for remote sensing imagery through vision-language models and tasks such as captioning and visual question answering.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities
Explore research directions, generate hypotheses and perform rigorous experimentation in several sub-domains (e.g., pre-training recipes, multi-modality, temporal sequences).
Contribute to shaping the team's roadmap, help prioritize research directions, with focus on innovation and usability.
Work with other researchers across Google to connect multiple geospatial efforts.
Help teams use foundation models and optimize its use on their tasks.
Advise and mentor team members.