Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
Leading a team from a technical perspective to develop ML best practices and influence engineering culture
Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team

Check Point is looking for a talented Data Scientist to join the Policy & IoT Research team in the R&D group.

Come and join a dynamic cyber security internal start-up group in Check Point developing solutions based on Machine Learning to protect our customers.

We seek a strong, motivated, and highly technical researcher who can be part of the research team.

With an R&D mindset, the research outcome will be integrated into our product.

The position allows gaining extensive knowledge about security related based on Machine Learning algorithms that would help to secure organization networks, including IoT devices.

You will be able to directly impact protections against major vulnerabilities.

Key Responsibilities
Be part of the data & research team that is responsible for Check Points Autonomous firewall and IoT security solution.
Working in a development group who is in charge of releasing security solutions for Check Points customers.
Work with data throughout all the pipeline from Data Engineering and Data Analytics to ML/AI models.
Collaborate with all the data & research-related groups within Check Point.
Writing protections to various attacks, and investigating IoT devices and understand their network footprints and integration with other systems.
Build ML/AI solutions together with a strong partnership with our engineering team.
Productization & development of technologies from the POC stage into an enterprise-scale security solution.
Work closely with other development teams, QA, product management, and customers.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product developments biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their products ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You wont simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Product Analytics STE 18 Month Contract Responsibilities
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

The Reality Labs team at Meta is looking for Senior/Lead Computer Vision Engineers to support our engineering teams as we build towards our goal of helping more people around the world come together and connect through world-class Augmented, Mixed and Virtual Reality hardware and software. With global departments dedicated to AR/VR research, computer vision, haptics, social interaction, and more, we are committed to driving the state-of-the-art forward through relentless innovation. AR and VR potential to change the world is immense -- and we're just getting started.

Meta is building the Metaverse, the "spatial internet" where immersive virtual worlds will coexist with the real world. Augmented and Mixed reality will transform the way people come together to interact, work and play. By developing new hardware and software products capable of understanding the real world and the user within their environment, we aim to make it possible for people to interact with content in their environment and share it with others.

Our Reality Labs division explores, develops and delivers cutting-edge technologies that serve as the foundations for the Metaverse and other future Reality Labs products, such as Oculus headsets, future AR glasses and our FB Family of Apps (Messenger, Instagram, WhatsApp). From Visual Localization, SLAM, 3D reconstruction, Context/Semantic Understanding, Mapping, Tracking, and Sensor Fusion, our team is focused on taking new technologies from early concept to the product level while iterating, prototyping, and realizing the human value and new experiences they open up.
Computer Vision Engineer (Leadership) - Reality Labs Responsibilities
Lead the design and development of novel computer vision and/or, machine learning algorithms in areas such as: real-time scene and object tracking, reconstruction and understanding, as well as, segmentation, face tracking, body tracking, key point estimation, depth sensing, generative approaches such as GANs, 3D stereo and volumetric reconstruction, avatars, reconstructions and virtual try-ons
Play a critical role in the definition and execution of long-term roadmaps in partnership and cross functional organizations in computer vision, machine learning, graphics, sensors, optics, and silicon
Lead and collaborate with multidisciplinary engineering and research teams to develop technologies from early exploration and incubation to production
Be a go-to person to escalate the most complex online / production performance and evaluation issues that require an in depth knowledge
Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into products
Participate in cutting edge research in computer vision that can be applied to AR/VR product development
Define projects for other engineers to possibly solve and achieve impact based on your direction

Meta is seeking a Research Scientist to join Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI, on the Flow World Models team. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, generative modeling, and applied mathematics. The World Flow Models teams overarching research goal is to develop generic and performant algorithms and theory for generative models based on the concept of mathematical flows, with applications in image / video, text / code, sets / graphs, and multimodal data generation.
Fundamental AI Research Scientist - FAIR Responsibilities
Perform research to advance the science and technology of intelligent machines.
Perform theoretical and empirical research to develop new methods and capabilities of flow generative models.
Perform research involving "real-life" data such as images, video, text, 3D data, and graphs.
Work towards long-term ambitious research goals, while identifying immediate milestones.
Influence progress of relevant research communities by producing publications.
Open source high quality code and produce reproducible research.

Unity is looking for an experienced BI Developer with high analytical and engineering capabilities and high motivation to join our team.

We seek a candidate with the ability to independently lead end-to-end data processes, a team player with good communication skills, and the ability to work with cross-functional teams.

We are searching for a curious and initiative-taking candidate who delves deep into matters and can perform in-depth analyses on data with millions of records per day, extracting significant insights that lead to data-driven decisions for rapidly growing operations.

What you'll be doing

Analyze complex datasets and extract meaningful insights. Identify trends, patterns, and correlations within the data to inform strategic decision-making
Create clear and visually compelling reports and dashboards to present analytical findings to key stakeholders. Collaborate with cross-functional teams to develop customized reporting solutions that address specific business needs
Work closely with multiple teams (R&D, Product, Monetization and more) to understand business objectives and provide analytical support for strategic initiatives. Translate business requirements into actionable analytical tasks and deliverables
Proactively identify opportunities for process improvement and optimization based on data-driven insights

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimisation problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Leading projects or small teams of people to help them unblock, advocating for ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmaps
Code deliverables in tandem with the engineering team

Aura by Unity is a platform which provides mobile network carriers with a smart, native and seamless way to deliver optimized device experiences for increased customer engagement.

We are looking for a skilled Product Manager to lead our Data products. As a Data Product Manager at Aura, youll work closely with the data engineering & data analytics teams to design and deliver excellent data products that meet the advanced requirements of the data consumers. You will have the opportunity to lead a data driven culture by making data and analytics accessible and facilitate the conversations between all relevant stakeholders (executives, product managers and business teams).

What you'll be doing

Have complete ownership of your products and oversee the entire lifecycle, from ideation to implementation.
Shape the vision and roadmap for the products under your responsibility.
Leverage data analytics to drive product decisions and improvements.
Work closely with cross-functional teams to ensure successful product launches and adoption.
Communicate product updates and progress to stakeholders, gathering feedback and iterating on product features.

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)