The worlds largest content recommendation platform, is hiring a Senior Machine Learning Engineer.
What are some of the things you do on a day-to-day basis?
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
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

The worlds largest content recommendation platform, is hiring a Staff Machine Learning Engineer.
What are some of the things you do on a day-to-day basis?
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
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, you will play a pivotal role in our Data Engineering team, driving a multitude of responsibilities essential to fueling our groundbreaking R&D endeavors. Youll have the autonomy to explore and implement cutting-edge technologies and data solutions, collaborating with diverse team of data scientists, developers, analysts, and stakeholders. Every day will present new learning opportunities and challenges as we strive together to reshape the future of work.
Responsibilities:
Design, develop, and maintain scalable data pipelines and infrastructure to support the collection, processing, and analysis of large volumes of data.
Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand data requirements and develop solutions that meet business needs.
Implement best practices for data governance, security, and quality assurance to ensure the integrity and reliability of our data assets.
Optimize and tune existing data pipelines and processes for improved performance and efficiency.
Stay up to date with current best practices in the big data field.
Mentor and coach other members of the data engineering team, providing guidance and support to help them grow their skills and expertise.

We are looking for a Machine Learning Engineer to join our Data Science group.
We are a fast-growing company that is building a multi-product platform for eCommerce brands, and the Data Science group is at the heart of our innovative solutions.
Our group works on fundamental challenges within the eCommerce space which span a variety of domains, such as Machine Learning, Deep Learning, NLP, Generative AI, Reinforcement Learning, Recommendation Systems, Computer Vision and more.
You will:
Build data pipelines & large scale solutions based on ML models.
Work with big data technologies (e.g., AWS, spark, airflow, k8s), ML technologies (e.g., pytorch, keras, mlflow) and software engineering technologies (e.g., git, docker, jenkins).
Collaborate with highly experienced developers and researchers.
Constantly learn new stuff.

We are is looking for experienced technologists with a combination of technical depth and excellent interpersonal skills to join the EMEA Prototyping team as Prototype Architect (PA). The PA will join a newly created group of hands-on developers focusing on the Israel market.

The PA will work on multi-week customer prototypes through collaborative projects with developers and solution architects from customers, partners and other stakeholders. A prototype brings technology and business concepts together and is a real technical implementation of a solution to a customer's business challenge. As a PA, you would focus on co-developing solutions on us with customers and enable them to ramp up as builders and take forward the implementation to production.

The ideal candidate for this role should combine hands-on development with solution architecture skills, and demonstrate a good understanding of the company`s services portfolio with experience building solutions following cloud architecture, security and operational best practices. Interest and experience with Generative AI is a plus for this role. The PA is expected to ideate and implement technical architectures addressing customer needs while working closely with specialist resources for domains requiring deep expertise

Key job responsibilities:
- Support the Prototype Engagement Manager in Israel and other local stakeholders in the technical qualification and scoping of new prototype opportunities.
- Lead the design and implementation of prototype architectures addressing customer needs working together with prototyping architects, solution architects and other stakeholders, with focus on Generative AI technologies.
- Deliver 3 to 8 weeks hands-on prototype projects with customers and partners, in agile and collaborative development engagements.
- Drive continuous technical enablement and knowledge transfer to customers and partners involved in prototype engagements.
- Develop and present technical demonstrations to Senior Business and Technical leaders, and document projects as appropriate.
- Proactively collaborate with the wider community such as Solutions Architect, Service and Solution teams to ensure optimal customer outcomes during engagements.
- Proactively develop reusable technical assets from customer engagements and promote within the EMEA and worldwide company`s SA community.

We are looking for exceptional hands-on data science, machine learning, and algorithms researchers. Our data science group builds well-crafted machine learning systems which are at the core of unique position to prevent online fraud. you will have the opportunity to analyze complex non-stationary data, innovate, acquire, and demonstrate a wide range of skills and expertise in machine learning while maintaining a focus on delivering systems to production and making an impact. If you possess strong analytical ability and the know-how to translate your ideas into reality, we would like to have the chance to talk to you.

What you'll be doing:
Research and develop innovative machine learning projects up to deployment in production.
Lead projects, initiatives, and multidisciplinary task forces in a dynamic business environment.
Mentor other data scientists, influence your teammates' projects, advise colleagues from other disciplines.
Solve complex, unique data science problems that do not have an off-the-shelf solution. Dive deep into complex and multi-dimensional data sets to identify patterns, anomalies, and potential fraud indicators.
Work closely with domain experts and researchers to integrate domain-specific knowledge into our fraud detection models. Collaborate on research projects to explore new approaches and technologies.
Employ a wide range of techniques from data science, machine learning, statistics, probability, algorithms, and whatever is necessary to solve the most crucial problems is facing.

As a Senior Backend Engineer, youll join our R&D center in TLV. The position is to be part of a backend team, to design, implement, maintain and troubleshoot in a cutting-edge environment.

As a senior engineer its expected from you to build an optimized, scalable and innovative design.

What Youll Do:

Be responsible for implementing micro-services from design to production.
Take ownership of development, maintenance, testing strategy, design discussions, and operations.
Participate in all aspects of agile software development including design, implementation, and deployment.
Responsible for the end-to-end lifecycle of new product features / components
Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design
Work with a small, cross-functional team on products and features to drive growth.
Learning new tools, languages, workflows, and philosophies to grow
Research and suggest new technologies for boosting the product.
Have an impact on product development by making important technical decisions, influencing the system architecture, development practices and more.

The PA will work on multi-week customer prototypes through collaborative projects with developers and solution architects from customers, partners and other company`s stakeholders. A prototype brings technology and business concepts together and is a real technical implementation of a solution to a customer's business challenge. As a PA, you would focus on co-developing solutions on us with customers and enable them to ramp up as builders and take forward the implementation to production.

The ideal candidate for this role should combine hands-on development with solution architecture skills, and demonstrate a good understanding of the our services portfolio with experience building solutions following cloud architecture, security and operational best practices. Interest and experience with Generative AI is a plus for this role. The PA is expected to ideate and implement technical architectures addressing customer needs while working closely with specialist resources for domains requiring deep expertise.

Key job responsibilities
- Support the Prototype Engagement Manager in Israel and other local stakeholders in the technical qualification and scoping of new prototype opportunities.
- Lead the design and implementation of prototype architectures addressing customer needs working together with prototyping architects, solution architects and other stakeholders, with focus on Generative AI technologies.
- Deliver 3 to 8 weeks hands-on prototype projects with customers and partners, in agile and collaborative development engagements.
- Drive continuous technical enablement and knowledge transfer to customers and partners involved in prototype engagements.
- Develop and present technical demonstrations to Senior Business and Technical leaders, and document projects as appropriate.
- Proactively collaborate with the wider community such as Solutions Architect, Service and Solution teams to ensure optimal customer outcomes during engagements
- Proactively develop reusable technical assets from customer engagements and promote within the EMEA and worldwide our SA community.

On our journey, we have discovered that building AI that delivers value in the real world, requires much more than just an algorithm - it requires mastering the data layers the algorithms are trained and evaluated on. AI organization, the data development achievements of our group are at the heart of improvements in our AI accuracy and scalability. We are among the few companies paving the way for methodologies and architectural patterns (that don't exist in this field yet) as we go.

Our AI Data Development Group is the data analytics core in our AI algorithms development process, and has several main areas of responsibility:

Mining the optimal data for our datasets, based on a deep understanding of the nuances of medical data, medical workflows, and algorithms.
Evaluating our algorithms performances, in order to maximize their success in real-world environments.
Facilitating data-driven product decisions through in-depth analysis.
Technical project management of the dataset development process.
Responsibilities
End-to-end ownership and technical project management of dataset development projects, for training and evaluation of AI algorithms, from ideation to delivery. This responsibility includes:
The facilitation of the data across various teams.
Detecting errors and anomalies in the data, defining the most efficient and accurate tables and views per project, and researching these issues to verify the quality signature of the dataset, which will have a sound effect on the product outcome.
Developing the optimal data pipeline per project.
Facilitating data-driven product decisions, by deeply understanding the product questions and identifying whether there are cost-effective data analyses that could provide a valuable answer to this question, based on a deep understanding of the relevant clinical workflows and algorithms.
Mapping bottlenecks in existing processes, and leading development of tools, infrastructure, and mechanisms to enhance our efficiency and decision-making processes at all levels.
Continuously assessing the projects risks and successfully mitigating them.
Develop and execute control and review processes for improving the teams quality signature on deliverables.

We are looking for a Director of Innovation to establish and lead our Innovation team. This is an exciting opportunity to build an innovation team within a dynamic and cutting-edge environment! This pivotal role involves managing the Innovation department, nurturing a culture of innovation across the company, and spearheading the development of state-of-the-art cybersecurity solutions. As part of our advanced technology group, you will lead the identification, selection, prototyping and specification of innovative solutions. We expect those solutions to be predominantly driven by but not limited to Artificial Intelligence (ML/LLM).



Main Responsibilities

Developing and executing innovation strategy, in alignment with the company strategy.
Fostering a culture of innovation and developing appropriate innovation processes, including a supporting Innovation Funnel based process.
Building and leading a high-performing Innovation team.
Conducting technology market and industry analysis to identify opportunities and threats.
Leading innovation initiatives by identifying new ideas, trends (specifically in technology), products, and services that could improve performance.
Managing related intellectual property including patents and proprietary tools, and develop the IP-base as a key asset.
Identifying and managing risks to innovation operations, including legal and regulatory risks, reputational risks, and financial risks.
Collaborating with other departments , specifically Services, R&D and Marketing to ensure that their activities are aligned with innovation strategy.
Communicating innovation strategy to internal and external stakeholders.
Identifying and, if applicable, partnering with external sources of innovation, such as other innovative companies, research institutions and academia, to bring in new ideas and technologies and to stay abreast of the relevant tech innovation ecosystem.