דרושים » תוכנה » Computer Vision Research Scientist

We are looking for an experienced A Computer Vision Team Leader who will join our algo group and lead a team of two talented senior algo engineers.
In this role, you will lead the development of new products from concept to production while creating diverse algorithms based on computer vision and deep learning.
A day in the life and how youll make an impact:
Lead a team of algorithm Computer Vision engineers developing novel and efficient algorithms from concept to production
Development using 3D reconstruction, stereo, geometry, and SLAM
Combine the proper algorithm method to the problem computer vision & deep learning respectively.
Evaluate and benchmark different algorithms on unique proprietary datasets.
Collaborate with team members to define future technology and features.
Stay abreast of the latest advancements in algorithmic research and implement best practices in algorithm development


we are looking for a Data Scientist to join our team.

The ideal candidate is a highly motivated and self-driven individual with strong analytical and problem-solving skills. The Data Scientist will be responsible for analyzing data and developing models to help inform decisions and strategies for new products and business initiatives.



Responsibilities:

Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud.
Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment.
Perform exploratory data analysis and data visualization to gain insights and communicate findings.
Collaborate with cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production.
Implement advanced analytics tools and technologies to enhance reporting capabilities.

We seek an experienced Senior Computer Vision Engineer with proven capabilities to lead the development of new products from concept to production. In this role, you will join a highly talented team to drive inspection portfolio and create diverse Machine and Deep Learning algorithmic solutions.
A day in the life and how youll make an impact:
Design and Development of novel robust and efficient 3D reconstruction and clustering algorithms, combining classical and Deep Learning algorithms for major Vision challenges.Create Proof of concept for new products and technology.
Evaluate and benchmark different algorithms on unique proprietary datasets.
Collaborate with team members to define future technology and features.

We are seeking a talented and experienced team manager to head our Data Science team within the critical Risk domain. This role uniquely combines hands-on development of vital risk prevention models, team mentoring, defining the technological strategy, and driving innovation in the field of AI Agents.

Key Responsibilities
As the Data Science Team Lead for Risk, you will be responsible for:

Technological and Strategic Leadership: Defining and implementing the Data Science strategy for the Risk domain, while identifying critical business and technological opportunities.
Hands-on Development: Actively working on the development, building, and deployment of critical Machine Learning and Gen-AI models for identifying, classifying, and preventing risks and fraud.
Team Management and Mentoring: Managing and guiding a team of talented Data Scientists, including work planning, professional development, providing mentorship, and contributing to talent acquisition.
AI Agents Innovation: Leading the team's efforts in the field of AI Agents within Risk, including architectural design, developing complex Agent Workflows, advanced Prompt Engineering, and developing rigorous Evaluation methodologies to ensure reliability and accuracy in production.
Cross-Functional Collaboration: Managing strategic relationships and collaborations with Engineering, Product Managers, Analysts, and other stakeholders to ensure solutions meet critical business needs.
Production Deployment: Ensuring Data Science solutions transition reliably, scalably, and efficiently from concept to production and making significant impact.

We are looking for researchers and applied scientists to join the Central Applied Science team. Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations.
Individuals in this role are expected to have expertise and publications within research areas in the board field of machine learning. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems.
Research Scientist, Central Applied Science Responsibilities
Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products
Develop novel quantitative methods on top of Meta's unparalleled data infrastructure
Learn new tools, systems, and programming languages quickly as required by the particular project you are working on
Work towards long-term ambitious research goals, while identifying intermediate milestones
Communicate best practices in quantitative analysis to partners
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value
Publish research results in top-tier conferences and at leading journals
Actively identify new opportunities within Meta's long term roadmap for applied science contributions.

We are looking for an experienced Senior Deep Learning Engineer with proven capabilities to lead the development of new products from concept to production. In this role, you will be a part of a highly talented team to drive inspection portfolio, while creating diverse Machine and Deep Learning algorithmic solutions.
A day in the life and how youll make an impact:
Design and Development of novel robust and efficient Machine Learning/ Deep Learning algorithms for major Vision challenges.
Create Proof of concept for new products and technology.
Evaluate and benchmark different algorithms on unique proprietary datasets.
Collaborate with team members to define future technology and features.

As a data scientist you will work directly with engineers, sales, product and clients in order to translate business requirements to production level prediction models and algorithms.

What Youll do

Research and find creative solutions to a unique set of problems
Develop and maintain machine learning models and optimization algorithms from research to production
Develop data infrastructure and pipelines
Collaborate with engineers, sales, product and clients

As a Senior Machine Learning Engineer, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Senior Machine Learning Engineer, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a CPU Workload Analysis Researcher within our company Cloud's ML Systems and Cloud AI (MSCA) organization, you will be integral to developing silicon solutions powering our company's direct-to-consumer products. You will join a Research and Development team focused on analyzing and profiling workloads requirements within the xompany Cloud environment. Your role will involve conducting in-depth research on CPU optimization, feature development, and ML usages over compute platforms, contributing to identifying key areas of investment and future opportunities. This role offers a unique opportunity to perform groundbreaking research with a significant impact on both research methodologies and industry products, within the server chip architecture team. Your work will directly influence the next generation of hardware experiences for millions of our company users and Cloud customers.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Plan and execute detailed analysis of CPU workloads within the company Cloud infrastructure, analyze trends and map future requirements.
Collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to CPU performance and efficiency.
Develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on our company Cloud platforms.
Analyze the impact of machine learning applications on CPU usage, identifying opportunities for optimization and feature enhancements.
Lead the investigation and development of metrics to measure CPU performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a CPU Workload Analysis Researcher within our company Cloud's MSCA organization, you will be integral to developing silicon solutions powering our company's direct-to-consumer products. You will join a Research and Development team focused on analyzing and profiling workloads requirements within the company Cloud environment. Your role will involve conducting in-depth research on CPU optimization, feature development, and ML usages over compute platforms, contributing to identifying key areas of investment and future opportunities. This role offers a unique opportunity to perform groundbreaking research with a significant impact on both research methodologies and industry products, within the server chip architecture team. Your work will directly influence the next generation of hardware experiences for millions of our company users and Cloud customers.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Plan and execute detailed analysis of CPU workloads within the company Cloud infrastructure, analyze trends and map future requirements.
Collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to CPU performance and efficiency.
Develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on our company Cloud platforms.
Analyze the impact of machine learning applications on CPU usage, identifying opportunities for optimization and feature enhancements.
Lead the investigation and development of metrics to measure CPU performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.