דרושים » תוכנה » Applied Scientist

Overview
Come and be part of the team building one of our most exciting security products, our Defender for Endpoint (MDE). As cyber-attacks have become more sophisticated, MDE helps enterprises detect, investigate, and automatically disrupt advanced attacks and data breaches on their networks.  From detecting and disrupting nation state actors to huge ransomware actors in action, our research team brings deep knowledge of the attacker landscape and tradecraft to create the innovations necessary to uncover and protect against even the most well-funded attacker. 

Your job as a Principal AI Architect is to design and build AI solutions that help our customers with their security needs by using the team's security research skills. You will work with security research, applied science and engineering teams to make it easier to use AI in their work. You will keep track of the newest AI developments and use them to tackle hard security research issues.

Responsibilities:
Lead the long-term AI strategy of the team, in collaboration with the different leaders.
Collaborate with security experts to integrate their insights into the AI roadmap.
Stay up to date with the latest advancements in AI, including LLM, GNN and Anomaly Detection, and apply these to solve complex cybersecurity challenges.
Contribute actively and work together with applied scientists to test hypotheses and implement ML models.
Provide technical leadership and mentorship to the AI team.

We are looking for a Senior Applied Scientist to embark on our journey to build a Prime Video Sports tech team in Israel from ground up. Our team will focus on developing products to allow for personalizing the customers experience and providing them real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield, cutting-edge and large-scale engineering and science projects, and a rare opportunity to be one of the founders of the Israel Prime Video Sports tech team in Israel.

Key job responsibilities:
We are looking for a Senior Applied Scientist with domain expertise in Computer Vision or Recommendation Systems to lead development of new algorithms and E2E solutions. You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also drive publications of original work in top-tier conferences in Computer Vision and Machine Learning. You will be expected to deal with ambiguity! We're looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go.

We are looking for an Applied Scientist to embark on our journey to build a Prime Video Sports tech team in Israel from ground up. Our team will focus on developing products to allow for personalizing the customers experience and providing them real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield, cutting-edge and large-scale engineering and science projects, and a rare opportunity to be one of the founders of the Israel Prime Video Sports tech team in Israel.

Key job responsibilities:
We are looking for an Applied Scientist with domain expertise in Computer Vision or Recommendation Systems to lead development of new algorithms and E2E solutions. You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also drive publications of original work in top-tier conferences in Computer Vision and Machine Learning. You will be expected to deal with ambiguity! We're looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go.

Do you want to be a Data Engineer on an elite Data Science team? Do you want to build data solutions that power AI and Data Analytics of a global Security Product? Do you want your work to be impactful on millions of users?

Join us and become part of a winning Data Science team that builds the brain of one of our most exciting security products, our Defender for Endpoint (MDE). As cyber-attacks have become more sophisticated, MDE helps enterprises detect, investigate, and automatically disrupt advanced attacks and data breaches on their networks. Our team is responsible for developing and deploying Machine Learning (ML) models that protect organizations worldwide and owning Data Analytics systems that facilitate data-driven decisions and operational excellence.

If you are an excellent engineer with a background in Big Data, and are passionate about engineering for Data Science, we would like to talk to you!

Responsibilities:
Create and maintain robust Big Data pipelines for Analytics and ML systems.
Optimize performance of Big Data scripts and queries.
Create monitoring and reporting infrastructure.
Develop systems that facilitate Data Science activities such as Analytics and Feature Extraction.

Do you want to be a Data Scientist on an elite Data Science team? Do you want to build Data Analytics for a global Security Product? Do you want your work to be impactful on millions of users?

Join us and become part of a winning Data Science team that builds the brain of one of our most exciting security products, our Defender for Endpoint (MDE). As cyber-attacks have become more sophisticated, MDE helps enterprises detect, investigate, and automatically disrupt advanced attacks and data breaches on their networks. Our team is responsible for developing and deploying Machine Learning (ML) models that protect organizations worldwide and owning Data Analytics systems that facilitate data-driven decisions and operational excellence.

If you are a talented Data Scientist with excellent analytical, statistical, and data-visualization skills, who is passionate about applying Data Science to drive a revolutionary cyber-security product, we would like to talk to you!

Responsibilities:
Collaborate with Security experts and other stakeholders to define Business metrics.
Work with data engineers to implement these metrics over Big Data sources.
Create and maintain dashboards and visualizations.
Conduct data analysis and present insights to the leadership team and stakeholders.
Develop Anomaly Detection and monitoring solutions to ensure operation excellence of AI and other systems in MDE.

We are looking for a highly motivated and experienced Principal Data Scientist to join our team! The Education Insights team in our Education builds and operates experiences to empower and delight learners and educators for the betterment of education of millions of users worldwide.

The successful candidate will have strong engineering capabilities with high Python proficiency and a deep understanding and experience in machine learning and AI. You will work closely with cross-functional teams to create cutting edge LLM-based experiences, make decisions using data and be responsible for developing innovative solutions that drive towards the future of AI in education. We are looking for enthusiastic and creative thinkers and doers to join us in meeting the challenge of shipping AI products that meet the needs of learners in a changing world.

Responsibilities:
Adopt, contribute to, and improve the teams existing technical stack and infrastructure to build differentiated features in the Education space.
Stay up to date with AI technology, advise on how we can adapt and embrace new technologies methodologies and ideas.
Provide hands-on technical work: design, analytics/modeling and fine tuning, dataset development, code reviews, development, quality assurance.
Build relationships with partners within our company (applied) Research Teams to bring innovation to new and existing products.
Foster a culture of inclusivity and disciplined data and software engineering practices to deliver business value, guided by data.
Creating and sustaining an effective team culture is extremely important to us. We value and promote a high trust environment where we work closely and effectively with others.
We emphasize a culture of continuous learning and so having a growth mindset and passion for learning is important. You should expect that your teammates will be invested in helping make you successful and expect the same in return from you. We recognize and celebrate the uniqueness of each person on the team and leverage our diversity to create more inclusive products for our customers.

As a Data Scientist intern, you will formulate approaches to solve problems using well defined algorithms and data sources. You will incorporate an understanding of product functionality and customer perspective to provide context for those problems. You will use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data. Successful Data Scientists will interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve. You will engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers. As a Data Scientist, you will also engage in the peer review process and act on feedback while learning innovative met

Responsibilities:
Gain a basic understanding of a broad area of research and applicable research techniques, as well as a basic knowledge of industry trends and share your knowledge with immediate team members.
Apply strategies provided by Senior team members. Following guidance from team leaders, research relevant tools and technologies being used in the community.
Reinforce a positive environment by learning and adopting best practices. Maintain & develop ties with an external network of peers and identify prospective talent for our research pipelines.
Assist with documentation for senior team members. Learn and follow ethic and privacy policies while exeuctive research processes or collecting information.

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

Were looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Key job responsibilities:
* Collaborate with ML scientist and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges.
* Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production.
* Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder.
* Provide customer and market feedback to Product and Engineering teams to help define product direction.

Data organization is at the heart of the telecommunications industry, helping the largest Telco operators in the world to modernize their data platforms, Our teams use the latest cloud technologies to optimally organize the data and build AI analytics solutions to provide valuable insights, create exceptional customer experience and drive significant growth.

Telco operators deal with zettabytes of data and hundreds of billions of data connections. We are leading their transformation to data-driven decisions by providing solutions and applying advanced analytics, Generative AI & machine learning.
Are you passionate about data and want to create amazing Generative AI & ML solutions and apply your Data Science and Analytics knowledge on the largest scale and the most sophisticated problems?
This is a hands-on position for a motivated and talented innovator. The Data Scientist designs and develops sophisticated machine-learning solutions and algorithms that provide insight from data.
If you are up to the challenge, join our team!


What will your job look like?
You will be a leader and source of knowledge/ subject matter experts in the Data Scientists group to design Generative AI/ML use cases and solutions.
You will be building innovative AI/ML models and POCs with clients
You will be integrating deeply with business leadership as a trusted and influential contributor to ensure maximum impact of Data Science / Generative AI /Machine Learning outputs
You will be engaged with partners and clients to develop new business and future AI/ML Use case catalogs.
You will support and showcase a long-term research agenda aimed at generating innovations to solve critical business needs and challenges
You will be working closely with internal and external groups, understand the needs, and work with the team to identify the solution using AI/ML models and use cases, working with the Pre-sales/sale on prospecting opportunities and the overall pre-sale cycle.
You will present results, including the preparation of patents and white papers and facilitating presentations during conferences.
Collaborate with our customer's business and IT teams to implement business and IT requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL)
You will hands-on working with the team and support them during the work life cycle, end-to-end flow from data research to creating the AI/ML Models and algorithms supporting the need to provide the best outcomes.
This is a full-time position.

We are looking for a Data Science Researcher - Finance and Marketing.
What you will be doing:
As a data scientist in the Business Data Science team, you will be leading finance and marketing projects with focus on time series handling.
Lead machine learning based projects from business requirements, through research, evaluation, production implementation and monitoring.
Work on diverse problems and domains, and work with several stakeholders on a daily basis including finance and marketing managers, developers, BI analysts and more.
Build ML and statistical models based on historical revenue streams and usage data to predict different KPIs. For example, LTV, campaigns ROI, users attribution and more.