AI Research Intern Position – Microsoft AI Research Team

The Microsoft’s Commerce AI Research team in Israel develop cutting edge machine / deep learning algorithms in the domains of computer vision, natural language processing, audio analytics, recommender systems and more. Our algorithms are implemented in a wide array of Microsoft products (Dynamics365, Xbox, Windows Store, and more) that serve millions of users around the globe. Our research is regularly patented and published in top-tier machine learning and data mining conferences. The position offers a unique opportunity to join one of the best AI research teams in the country.


  • Working with world class machine learning researchers, academics, and data scientists.
  • Developing real-world machine learning algorithms in the domains of computer vision, natural language processing, recommender systems, and more.
  • Increasing productivity of ongoing research projects and help to productize them.
  • Working with big data.
  • Statistical analysis of data.
  • Extracting insights from data.
  • Publishing research papers in top-tier machine learning venues.
  • Issuing patents.

Minimum Qualifications:

  • D. / M.Sc. student pursuing research on machine / deep learning with applications for computer vision / natural language processing.
  • Sc. GPA of 90+ from a leading university only.
  • Ability to work at least 3 days a week.
  • Hands on experience in development of deep / machine learning algorithms in PyTorch / TensorFlow for computer vision / natural language processing applications.
  • Excellent coding skills in Python (C#, C++, Java is a plus).
  • Independent, committed to deliver results and make an impact.

Preferred Qualifications:

  • Publications in top-tier machine learning / vision / NLP / data mining conferences.
  • Hands on experience with big data processing.
  • Experience in building industrial machine / deep learning systems.

About The Position

DSP Group, Inc. (NASDAQ: DSPG) is a global leader in wireless communications and voice processing chipsets and algorithms for a wide range of smart-enabled devices. We seek to consistently deliver next-generation solutions in the areas of voice, audio, video, and data connectivity. We are looking for a talented and experienced person to join our challenging and revolutionary journey.

You are:

  • People person with Good interpersonal skills.
  • Methodological & Organized with strong self-learning ability
  • Desire to explore and reach new territories and goals

You will:

  • Work in a team that seeks, studies, and develops state-of-the-art DL algorithms oriented mainly on voice and sound, but not limited to that.
  • Rely on classical signal processing algorithms where needed.
  • Escort the developed algorithms for their implementation in software.
  • Assist in defining the implementation of generic or dedicated hardware solutions, from an algorithmic point of view.


  • You hold a master's degree in Electrical Engineering, Computer Engineering, or similar
  • You hold knowledge in Deep Learning.
  • You hold knowledge in signal processing (e.g., audio/speech, vision, sensor arrays, etc.).
  • You are familiar with Python.

It will also be nice if:

  • You have experience in the development of deep learning models.
  • You hold a Ph.D. degree.
  • You have general knowledge of Machine Learning.
  • You are experienced with a deep learning framework such as TensorFlow / PyTorch / Keras.
  • You hold knowledge in audio/speech signal processing.
  • You hold strong object-oriented design and coding skills.
  • You are experienced in the development of Android.
  • You are familiar with Unix / Linux systems.

We are looking for a Sr. Software Engineer to help our Machine Learning (ML) efforts to scale.

The Machine Learning Research team at Vimeo is focused on unlocking opportunities for ML to make an impact,

both to existing teams and products, as well as novel opportunities. We work with a wide selection of algorithms,

to understand Users and Videos, based on various signals such as text, video and analytics.

In this role, you will be a key contributor in building our ML frameworks, Design our production architecture, and

allow ML models to impact millions of video clips on a daily basis.


What you’ll do:

● Design and build MLOps systems, including data pipelines and production-level machine learning (ML)

infrastructure, using tools such as Kubeflow Pipelines, Apache Beam, Kubernetes, etc.

● Leverage your experience to drive best software development practices in ML systems.

● Bring ML research from to production. Deploy ML models under the constraints of scalability,

correctness, and maintainability, with hardware acceleration techniques. Optimize and give feedback to

research-level models to bring them to production level.

● Collaborate with cross functional agile teams of machine learning engineers, video engineers, data

engineers, and others, in building machine learning infrastructure that best supports the ML needs at



Skills and knowledge you should possess:

● Passionate about Data science and Machine learning products.

● B.S. or M.S. degree in Computer Science or a related quantitative field.

● Proficient in working with cloud platforms, dockers, and Kuberneetes.

● Highly proficient in python, with ability to build APIs.

● 4+ years of machine learning product development experience, using state-of-the-art tooling and have a

deep understanding of the best practices for ML systems.

● Experience in building high performance distributed systems at scale.

● Skilled communication and a proven record of leading work across disciplines.


Bonus Points (Nice Skills to Have, but Not Needed):

● Experience in working with Video processing.

● Familiarity with MLOps tools and experiment management platforms, KubeFlow, ClearML, etc.

● Experience with Deep Learning Frameworks such as TensorFlow, Pytorch

● Experience with data processing and storage frameworks like Google Cloud Dataflow, Hadoop, Scalding,

Spark, Storm, Cassandra, Kafka, etc.

● Ability to architect data pipelines using tools like Apache Beam or Spark with experience in setting best

practices for data.

About us:

Vimeo is the world’s leading all-in-one video software solution. Our platform enables any professional, team, and

organization to unlock the power of video to create, collaborate and communicate. We proudly serve our growing

community of over 200 million users — from creatives to entrepreneurs to the world’s largest companies.

Vimeo is headquartered in New York City with offices around the world. At Vimeo, we believe our impact is

greatest when our workforce of passionate, dedicated people, represents our diverse and global community.

We’re proud to be an equal opportunity employer where diversity, equity and inclusion is championed in how we

build our products, develop our leaders, and strengthen our culture.

The Algorithm group at GE Healthcare Point of Care Ultrasound is expanding!

We are looking for exceptional juniors to participate in diverse R&D activities to make our scanners smarter and develop technologies that make a real difference on how critical patients are managed. In this position, you will have the opportunity to take part in the development of clinically focused algorithms, image quality evaluation, testing and improvement and general automation tasks.


  • Defining and developing the next generation of Machine Learning and Computer Vision algorithms
  • Developing tools for data collection and annotation optimization
  • Testing, fine tuning and improvement of scanner parameters and Image Processing algorithms


  • Sc. or Ph.D. in Electrical Engineering, Computer Science or Biomedical Engineering from a leading university


  • Advanced courses/project in the field of Image Processing, Computer Vision, Machine Learning or algorithm optimization.
  • Programming knowledge: Good Matlab or Python proficiency, C/C++ – an advantage.
  • Medical imaging experience – a strong advantage.
  • Industry experience – a strong advantage.
  • Deep Learning algorithms experience – a strong advantage.

Soft skills:

  • Clear thinker
  • Team player
  • Well organized
  • Persistent

Innovative algorithmic research and hands-on PoC (proof of concept) developments of Huawei’s unique cutting-edge autonomous driving technologies. Focus on sensing and low level vision sides. Such as video ISP, fusion of multi-modality detectors & self – supervised methods. Including collaborations with universities / Israeli-startups.

Job requirements:
o PHD, MSc in Computer Science / Electrical Engineer or similar fields from a leading institution.
o 2 years of experience with deep learning algorithms. Experience with Python and deep learning frameworks such as PyTorch, TensorFlow
o Capable of understanding current research articles in the fields of: Computer Vision, Machine Learning, Image and Video Processing & Autonomous Driving
o Experience with Advanced Driver Assistance Systems (ADAS), Self-Driving or other automotive algorithms
o Experience with cameras technologies such as Image or Video Processing / Real Time 3A algorithms / camera’s ISP (Video / Image) algorithms
o Experience with Computer Vision algorithms such as Image Classification, Object Detection, Object Tracking, Semantic Segmentation etc.
o Background in depth sensors technologies such as LiDAR and / or unique imaging cameras such as non-RGB cameras and / or other detectors used in the automotive industry
o Background in 3D geometry-based / navigation algorithms
o Experience with C++, Matlab, Java, JavaScript, R.

Samsung R&D Center is looking for Computer Vision and Deep Learning Algorithm Engineer to join our team.

Samsung (SIRC), shaping the world of tomorrow, Today. Focusing beyond the horizon and pushing exciting developments in many key areas of technology. Samsung is creating a new era of continuous innovation, bringing value and contribution to society and creating a workplace where our employees can enjoy making the most of their talent, creativity and passion.

The Team

You will join a team of talented and experienced researchers that work together to develop cutting-edge, Deep Learning-based computer vision algorithms for Samsung’s next-generation flagship products. We introduce AI to Samsung’s mobile phone’s cameras, improving the photos and user experience for millions of users around the world. We also leverage Deep Optimization algorithms to enable such computationally intensive solutions run in real time. Neural network optimization and Auto-ML receive paramount attention these days, with both industrial and academic focus on quantization, pruning and Neural Architecture Search (NAS).

What will you do?

You will be responsible for developing state-of-the-art deep learning and computer vision algorithms. This includes:

  • Keep on top of the latest advances in the fields of computer vision and deep learning
  • Develop algorithms that optimize both accuracy and run-time
  • Encounter and solve real-life problems of product-grade algorithms
  • Collaborate with software and hardware teams, bringing your algorithms into products


  • MSc/ Ph.D. in CS/EE or related
  • At least 2 years of experience as computer vision algorithm engineer
  • Proficient in python
  • Experience with TensorFlow or PyTorch



  • Familiarity with DL deployment to edge HW and its constraints
The Core Data Science team  at Facebook TLV is looking for a Research Scientist!

Core Data Science ( is a research and development team, working to improve Facebook’s products, infrastructure, and processes. We generate real-world impact through a combination of scientific rigor and methodological innovation. We are an interdisciplinary team, with expertise in computer science, statistics, machine learning, economics, political science, operations research, and computational social sciences, among other fields. This diversity of perspectives enriches our research and expands the scope and scale of projects we can address.

We are looking for researchers and data scientists to join the team in Tel Aviv. We work closely with various product groups throughout Facebook, bringing expertise in machine learning, statistics, causal inference, data analysis, and other quantitative methods. By applying your expertise in such topics you will be empowered to drive impact across a range of products, infrastructure and company operations. The ideal candidate will have a passion for building products and applying research expertise and the latest methods to solve challenging, real-world problems.

Research Scientist, Core Data Science Responsibilities
  • Build data driven solutions to mission critical inferential and decision problems by developing state of the art statistical and machine learning methods on top of Facebook's unparalleled data infrastructure.
  • Communicate best practices in quantitative analysis and develop cross-functional partnerships throughout the company.
  • Work both independently and collaboratively with other scientists, engineers, designers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.
  • Actively identify new opportunities within Facebook's long term roadmap for data science contributions.
Minimum Qualifications
  • PhD in computer science, statistics, economics, or related quantitative field, or MS degree with 4+ years of relevant experience.
  • Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research.
  • Experience in programming and data analysis using languages such as R or Python, with packages such as NumPy, SciPy, pandas, scikit-learn, tidyverse (dplyr, ggplot2, etc.).
  • Ability to initiate and drive research projects to completion with minimal guidance.
  • The ability to communicate scientific work in a clear and effective manner.
Preferred Qualifications
  • Publications in Machine Learning, statistics, data science, AI, computer science, or related technical fields
  • Experience in production level software development in Python or lower level languages such as C++, Java.
  • Experience in scalable dataset assembly / data wrangling, such as Presto, Hive or Spark.

NVIDIA Networking BU (formerly Mellanox) AI group is growing and looking for an outstanding data scientist to join the team. If you're looking to work on something new and exciting with top Deep Learning researchers from NVIDIA or if you are passionate about solving problems with real impact on billions of users, your place is with us.

What you'll be doing:

  • Researching and implementing state-of-the-art machine and deep learning algorithms.
  • Develop, prototype, and analyze DL/ML models in the fields of Reinforcement Learning, NLP, Anomaly Detection, Clustering, Genetic Algorithms, and more.
  • Work closely with different partners to define business needs, data and model deployments.
  • You will also have the responsibility of teaching and guiding the development team in the process of algorithm implementation and production.

What we need to see:

  • M.Sc/PhD in Electrical Engineering, Computer Engineering, Computer Science or other relevant fields
  • 3+ years experience as a data scientist
  • Experience with Deep Learning frameworks (TF/Pytorch)
  • Excellent programming, debugging and code optimization skills
  • Experience delivering AI product from research to production
  • Be able to work hands-on independently and at the same time be a team player
  • Excellent written and verbal communication skills
  • Background with Linux and Git

Ways to stand out from the crowd:

  • Ability to work independently with minimal direction
  • Background with working on unsupervised/semi-supervised tasks with complex structured data
  • Experience with Reinforcement learning – a big plus
  • Experience coding in C

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning and Artificial Intelligence. If you're a creative engineer with a real passion for robust and enjoyable user experiences, we want to hear from you.

NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Observability is the convergence of the massive telemetry and analytics platforms powering Azure and everything on itWindows and Xbox. Observability offers a portfolio of massive scale platforms and solutions to monitor the health and performance of your systems and applications across the stack (IaaS, K8s, PaaS, SaaS and all types of clients) and surface actionable insights 

Our team in the Israel R&D center, drives AIOps into all layers of the Observability portfolio by harnessing data science, ML paradigms and statistical inference deep into the technology and customer facing experiences.  A few examples are Dynamic AlertsSmart AlertsSmart Detection and Smart Grouping of alerts. And there are many more internally facing magics. 

Observability ingests and processes ~225 PB of data daily with a +100% growth YoY. We’re inviting you to come help us innovate and make the most out of this data. 


We are looking for a passionate Senior to Principal applied researcher with a strong technical background and diverse approach to solving problems. You will be working closely with Product Management and Engineering disciplines to create and deliver unique and competitive value to our customers. You will be challenged to select and apply the right paradigm for a solution out of many options at hand (machine learningtime series analysis, statistical inference, and other data science toolkits). To be successful you will need to demonstrate passion for data mining and to making happy customers at equal levels. Coding will be done in a variety of languages and mainly C# and Python. 



  • Ph.D. in Computer Sciences / Mathematics / Physics 
  • Programming experience (C#/Python) 
  • Fundamental knowledge of Machine Learning & Data Mining theory and algorithms 
  • Demonstrated experience in solving difficult problems connecting theory with real world impact. 
  • Advantage: Relevant publications in machine learning / vision / NLP / data mining conferences 
  • Advantage: knowledge of statistical inference theory and applications 
  • Team player – strong interpersonal and communications skills 

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.

Why Work for Us

Our culture is focused on building inclusive teams, where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career. Our locations feature a variety of work environments, including open work spaces and virtual connection platforms to inspire productivity and flexible collaboration. And we are proud to support our employees volunteer interests, and make it a priority to join together in efforts that give back to our communities.

Job Description

– Leads and generates technical solutions including specifying of requirements, functional decomposition, analysis, development and testing for current, new and major programs

– Lead development of software system team design content and software anomaly corrections.

– Performs complex design analysis

– Specifies and balances system requirements

– Provide, communicate, and support common best practices among software community

– Performs as Subject Matter Expert (SME) for at least one platform or application component

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.   We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

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