Corporate

In this role you will be a part of eBay’s global Buyer Experience research team. You will Combine strong software engineering principles with machine learning to build scalable learning workflows. Our team explores and provides solutions for extremely complex problems presented to hundreds of millions of users every day, by conducting research in the fields of Recommendation Systems, Machine Learning, NLP and Information Retrieval.

The main goal of the team is to bring personalized machine learning models to all eBay experiences, fitting the best experience to each of the hundreds millions of buyers. As a machine learning engineer you will be responsible for building the data collection pipelines, building the learning, testing and inference infrastructure and bringing the machine learning models to production.

Requirements:

  • 5+ years of Java/Python/Scala development experience.
  • Practical skills in querying and processing Big Data using Apache Spark.
  • Experience with machine learning frameworks and libraries (SparkML, Tensorflow, Pytorch, Keras)
  • Experience integrating data pipelines for machine learning
  • Throughout understanding of ML and experience in deployment of ML models to production
  • Advantage: Experience with Kafka, Flink/Spark Streaming and other Big Data frameworks.
  • Advantage: Knowledge ML model management and deployment like MLeap , H2O , etc.
  • Advantage : Experience with Docker/Kubernetes
  • Advantage: Airflow

We are united in the belief that our very human desire to explore the planet’s beauty and discover more about other people and cultures will endure. The world is waiting for us. Together, we will be ready.

As a Senior Manager of Machine Learning & AI you will be managing the ML science and ML engineering function for Booking.com’s ML Development Center in Tel Aviv. You are a deep subject-matter expert in multiple areas of machine intelligence (e.g. recommenders, optimisation, NLP, Computer Vision) and its implementation as an end-to-end product that generates direct business impact. You define the strategy and vision for how to generate outsized impact through automated intelligence in a broad product area by driving a research agenda and development plan from ideation to prototyping to full productionisation.

B.Responsible

  • Translate broad areas of business problems into ML/AI challenges and develop a targeted research plan to identify the best approach within the constraints of the production environment.
  • Develop the strategy for machine intelligence on a broad area by designing innovative ML/AI models, algorithms, and approaches that deliver both short-term commercial impact and longer-term differentiated business value and customer experiences.
  • Independently define and build proof-of-concepts to test new ideas and demonstrate their potential value to relevant stakeholders.
  • Drive the end-to-end execution of the ML/AI development process on products, from understanding product requirements, data discovery, model development and evaluation, to implementation of a full production pipeline for both batch- and stream-based deployment.
  • Develop production-grade ML code for models, features, and pipelines, accounting for scalability, latency, realtime requirements, monitoring and retraining.
  • Build readable and reusable code, using the right technologies and coding methodologies applying knowledge of business area tools and product needs.
  • Create outsized impact for your work through carefully designed rapid prototyping coupled with strategic scale-up in production through the work of other teams.
  • Drive platform-based development and reuse by coaching teams in abstracting individual business problems to generalized ML/AI products, rather than point solutions, and in identifying horizontal opportunities across multiple business domains.
  • Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of ML/AI disciplines and related fields.
  • Mentor others through evidence and clear communication, explaining advanced technical concepts in simpler terms.
  • Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies and upskilling on these for yourself and others, as needed.

B.Skilled

  • Deep subject matter expertise in one or more areas of ML/AI (e.g. Recommender Systems, Deep Learning, Forecasting, Natural Language Processing, Computer Vision)
  • Ability to define a machine intelligence strategy on a product family by identifying short-term development steps that create immediate business value and build upon each other to create longer-term differentiation
  • Ability to design an applied research plan from scratch as evidenced by peer-review publication or similar track record
  • Ability to execute end-to-end research and development plans and generating impact through large-scale machine learning model development.
  • Deep Relevant work or academic experience (MSc + 9 years of working experience, or PhD + 5 years), involved in the development and application of Machine Learning.
  • Strong working knowledge of big data technologies
  • Strong working knowledge of Python, Hadoop, SQL, R, Spark or similar technologies.
  • Excellent English communication skills, both written and verbal.

B.Offered

We are a performance-based company that offers career advancement and lucrative compensation, including bonuses and stock potential. We also offer what we call the “Booking Deal” with unique perks and benefits. The Technology Department has regular hackathons, “innovation days”, training, and attends and speaks at global conferences.

This position is open to local candidates only.

Passionate about working with the latest trends in Machine Learning and Computer Vision?

Like to own a complex projects and yet be a part of a large team?

Does the combination of data driven solutions and problem-solving excite you?

Then this position is for you!

We are looking for Algorithm Developers for our team, developing and researching in the fields of Machine Learning, Computer Vision, and Detection theory. If you have a passion for one or all please indicate that.

You will:

  • Develop state-of-the-art algorithms
  • Collaborate with a cross-functional teams: physics, software, applications and build new products that impact the lives of billions
  • Provide software specifications and production code to meet project milestones
  • Drive state-of-the-art projects, teach, mentor, or advise the internal teams

Requirements:

  • Sc. graduate (or above) in Electrical Engineering / Physics / Computer Science / Mathematics
  • Have theoretical and hands on experience (3+ years)  in at least one of the following: Computer Vision, Image Processing, Machine Learning, Detection.
  • Strong understanding of probability and statistics
  • Able to work independently as well as part of a team

You will get to:

  • Work at one of the largest algorithm departments in Israel and join the silicon wafer fabrication equipment industry market leader.
  • Take advantage of our structured growth plan with opportunities for both technical and managerial career development
  • Enjoy a friendly and collaborative environment, with community relations, volunteering events and more

Web Intelligence team is looking for a Data Scientist to join the team and take an important role in the team’s current domains – Building PayPal’s Web based solutions leveraging websites crawl data, external APIs data etc. Work closely with cross functional teams on Web related products which would allow global data science teams to use Web data effectively for various business use cases such as fraud, credit, marketing etc.

About PayPal’s Data Science Team
As a Data Scientists in PayPal’s Global Data Science organization, you will have an impact on PayPal’s Merchant and Consumer products all around the world. Our data scientists work to better understand our end-users, identify opportunities and improve our products by creating personal and smart experiences. Making use of PayPal’s endless amount of data, you will leverage your data and machine learning skills, for research and delivery of end-to-end Data Science solutions.

If you are a Data Scientist with sharp analytical skills and a passion for deriving new insights from unimaginable amounts of data, solving unique challenges, leveraging machine learning algorithms, and working in a highly collaborative, values-driven environment – then PayPal’s Global Data Sciences (GDS) is looking for you.

What would you do?  

 

  • Independent research and innovation in new content and technological domains, while supporting existing projects
  • Data mining and extracting information in PayPal’s Big Data environment
  • Build data science products based on web data which allow other data science teams to use this data for various business use cases
  • Work independently and proficiently on multiple assignments simultaneously with speed and quality
  • Cooperating with our talented development team in a high paced tech environment and maintaining a customer oriented approach

About You  

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

  • Bachelor’s Degree in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
  • 2 years of experience as a data scientist OR 2 years experience as web developer and basic data science background
  • Good code writing capability in Python and familiarity with relevant ML packages.
  • Strong analytical skills
  • Hadoop experience (MapReduce, PIG, Hive, Spark) – an advantage
  • Familiarity with web development: JavaScripts, CSS etc – an advantage
  • Excellent spoken and written English
  • Team worker, responsible, delivery-oriented

Who Are We?

Emerging Growth Incubation (EGI) Group is responsible for creating an environment within Intel to generate new billion-dollar businesses leveraging Intel's competitive advantages. We focus on new business opportunities and identify, incubate and scale the next "big thing" for Intel. Many of these projects request state of the art AI capabilities.

What Will You Do?
The algorithm team is working on a diverse set of problems in the computer vision domain. responsible for developing CV algorithms, deep learning, data processing, and analysis. Your role involves:

Develop infrastructure for data extraction and processing from huge data sets.

Develop and train deep learning algorithms for end-to-end AI solutions in various projects.

Research and innovate new methods for improving the underlying algorithm.

Integrate our AI solution as a cloud service.

Come grow with us!

What Are We Looking for?

Student towards M.Sc. in Computer Science / Electrical Engineering or equivalent

Education in machine learning at least at the level of advanced academic courses

Excellent coding skills is a must. Practical experience with deep learning on TensorFlow/PyTorch – An advantage

Inside this Business Group

Emerging Growth Incubation (EGI) Group is responsible for creating an environment within Intel to generate new billion-dollar businesses leveraging Intel's competitive advantages. We focus on new business opportunities and identify, incubate and scale the next "big thing" for Intel.

AI Applied Researcher

General Motors

About GM

There’s never been a more exciting time to work for General Motors. To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we need people to join us who are passionate about creating safer, better and more sustainable ways for people to get around. This bold vision won’t happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future.

General Motors Israel (Herzelia) takes a significant part in shaping the autonomous vehicle. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies.

The Cognitive Car Group is developing the "brain" of fully autonomous vehicles through advanced AI capabilities and leading the development of artificial intelligence (AI) for autonomous driving in GM worldwide.

We are looking for object-oriented SW developer that will develop a highly capable autonomously driving agent, from inception to a fully working prototype, that is aimed to be productionized and integrated into GM’s vehicles all over the world.

About you –

  • You will Research and develop state of the art machine-learning and planning algorithms for autonomous vehicles
  • Keep track of latest state-of the- art machine-learning research and adopt where relevant
  • Write efficient code (python) that can run both on the vehicles and on our servers at scale
  • Interact with simulations, designing experiments and drawing conclusions to gain deep understanding of real-world problems and the best possible way to solve them

Qualifications

  • MSc/Phd in Computer Science / Electrical Engineering / Mathematics / Physics
  • Over 5 years of industry software development experience in at least one object-oriented language (such as C++/Java/C#) and at least one scripting language (such as Python/MATLAB)
  • Strong theoretical background in AI/Machine Learning/Statistics
  • Proven ability to perform research and implement methodologies
  • Excellent problem-solving skills.
  • Passion for learning new technologies

 It’s an advantage if you have:

  • Experience (academic or industry) in Robotics, Machine Learning, Planning, Decision Making, Neural Networks / Deep Learning, Foundations of Optimization.
  • Familiarity with deep learning frameworks (TensorFlow, PyTorch, etc.)
  • Experience in writing industry-level code in production systems.

We're looking for Applied Research Interns!

You will conduct world-class research in the area of Machine Learning, Recommendation Systems and Natural Language Processing as well as solving complex problems for eBay's core product.

Requirments:

•Student towards MSc or PhD in Computer Science or equivalent.

•Experience in the fields of Machine Learning, Recommendation Systems or NLP.

•Solid understanding of computer science fundamentals, data structures, and algorithms.

The Acute-Care team at GE Healthcare looking for a s with a good understanding of computer vision and deep learning for a part time research position.

Our main goal is to detect patients who are deteriorating.

At GE Healthcare you will experience with the most cutting edge technology and work with big medical data

Alibaba is one the largest and most advanced internet, cloud, e-commerce, retail, logistics and technology company in the world. Within Alibaba, DAMO Academy's mission is to build high-impact AI technologies that will empower the core business of Alibaba, and create new business opportunities that are otherwise impossible.

The Israeli Lab is spearheading research and development of core computer vision and machine learning technologies, collaborating with world-class global teams to deliver emerging products and technologies.

As part of the XR (eXtended Reality) group, you will work on innovative projects in the field of augmented and mixed reality, on multiple platforms. Your work will leverage the immense amount of visual data, computational power and infrastructure generated by the Alibaba ecosystem

You can expect to work on topics such as:

– Modern Image generation methods (GAN, style-transfer, image-image-translation)

– Scene Reconstruction (light estimation, inverse graphics)

– Rendering (3D modelling, OpenGL, Path-tracing, PBR, IBL)

Responsibilities:

– Develop robust algorithms for systems that will serve many millions of users

– Research innovative solutions that will make an impact on how people shop online

Job description

– Masters in CS or equivalent

– Experience in Deep Learning

– Past research/work in CG or CV

– Passion for Augmented Reality & VFX applications

Our work is where we spend most of our days, so as a person on the team, we also expect you to:

– Be nice and foster a positive working environment and relationships.

– Be open-minded. We work with other cultures all the time, make the most of it!

– Advanced: push the team to new fun & effective unexplored habits.

Alibaba is one the largest and most advanced internet, cloud, e-commerce, retail, logistics and technology company in the world. Within Alibaba, DAMO Academy's mission is to build high-impact AI technologies that will empower the core business of Alibaba, and create new business opportunities that are otherwise impossible.

The Israeli Lab is spearheading research and development of core computer vision and machine learning technologies, collaborating with world-class global teams to deliver emerging products and technologies.

As part of the XR (eXtended Reality) group, you will work on innovative projects in the field of augmented and mixed reality, on multiple platforms. Your work will leverage the immense amount of visual data, computational power and infrastructure generated by the Alibaba ecosystem.

As part of the team, you will be required to:

– Explore state-of-the-art technologies and academic papers

– Design and implement advanced machine vision and machine learning-based products.

– Participate in a team effort to deliver fast, reliable and scalable algorithms and solutions.

Job description:

– MSc or Ph.D. degree in CS, EE or a related field.

– Proven experience in the field of computer vision, specifically in one of the following: 3D reconstruction, SLAM, multiple view geometry.

– Excellent analytical and learning skills.

– Strong coding skills in Python.

– Deep theoretical knowledge in the fields of computer vision and image processing algorithms.

Advantages:

– Experience in designing and developing deep learning architectures.

– Academic experience in the domain of computer vision or machine learning.

– Experience in delivery and maintenance of an algorithm in production.

– Experience in deep learning platforms (TensorFlow, PyTorch, etc.)

Our work is where we spend most of our days, so as a person on the team, we also expect you to:

– Be nice and foster a positive working environment and relationships.

– Be open-minded. We work with other cultures all the time, make the most of it!

– Advanced: push the team to new fun &| effective unexplored habits.

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