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.
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.
It will also be nice if:
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.
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.
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.
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
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.
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:
Core Data Science (https://research.fb.com/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.
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:
What we need to see:
Ways to stand out from the crowd:
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 it, Windows 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 Alerts, Smart Alerts, Smart 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 learning, time 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.
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.
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.
– 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
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.