Deep learning

Job Description

Do you want to kick your career by working on brand new technologies and standards with global customers?
To be part of a small team with huge personal impact?

The Vision Business Unit (VBU) is a small and dedicated group in CEVA. We offer our customers the most specialized cores and algorithms to run any Computer Vision based application, including Machine Learning and Neural Networks. Areas such as Artificial Intelligence, Virtual Reality and Augmented Reality push us to deal with cutting edge technologies that our customers’ near future products require. The solutions are related to variety of markets such as Automotive, Smartphones, Drones, Surveillance and more.

The Machine Learning group at CEVA are developing algorithms that incorporate to the training stage so that Neural Networks will run better and more efficiently on CEVA’s AI cores. 
Our advantage is that we hold both HW and SW development in-house. This allows us to generate amazing products and see the full lifecycle from NN inception to real world applications.
Join us to create amazing products that bring AI to everyday products. 
We are looking for a talented deep learning algorithms researcher to join our Machine Learning group.

In this role, you will:

  • Take ownership for studying and implementing algorithms for training neural networks.
  • Design, test, and integrate new algorithms
  • Contribute to the team’s methodologies, share your work, and give/receive feedback from peers in the team
The best match…
  • B.Sc in Computer Science/Electrical engineering (MSc – an advantage)
  • 3-5 years experience in training neural networks (PyTorch – an advantage)
  • Experience in Computer Vision – advantage
  • Read and implement algorithmic publications in the field of deep learning, deduce product requirements, write a design sheet, and implement the algorithm
  • Develop new solutions for model compression and quantization – advantage
  • Hands-on experience in Python and C++
  • A Team player with good interpersonal skills

GKI Group is looking for a Computer Vision Algorithms Engineer. As a Computer Vision Algorithms Engineer, you will take part in the development and implementation of new Computer Vision and Machine Learning technologies.

So, if you’re an experienced Data Scientist/AI Researcher/Computer Vision Engineer, Join our team and help the creation of a life-changing technology that will assist millions of people worldwide.

What are we looking for:

  • B.Sc. of higher degrees in exact sciences/computer science/Information systems engineering.
  • 2+ years of coding experience with Python or similar language.
  • 2+ of experience developing Computer Vision algorithms/image processing//NLP and similar algorithms – Must
  • Experience with Deep Learning Frameworks (such as PyTorch, TensorFlow, etc.) – Advantage
  • Good written and spoken communication skills in English.
  • Strong communication and collaboration skills

It will also be great if you have:

  • Experience with state-of-the-art computer vision techniques.
  • Experience as a Data Scientist, especially for startup companies.
  • Experience in engineering, especially working with CI, docker, Linux, AWS
  • Practical experience with current NLP transformers paradigm.

Come join Intuit’s Smart Products and Insights data science team as a Staff Data Scientist. The team is a data science team in a growing domain, focusing on one of Intuit’s strategic goals, designing and building a new and exciting customer-facing, data science-based AI+ML features to help small businesses to thrive.

For this growing domain within Intuit, we are looking for a fully hands-on Data Scientist; a true entrepreneurial spirit, and a team player; an individual with great business acumen and passion to explore, define, and solve important customer problems.

What you'll bring

  • Deep connection to the product and the customers
  • Deep interest in cutting-edge innovative technologies in NLP, AI, ML, or DL
  • Deep technical understanding of underlying DS concepts (not just training models)
  • Collaboration with partners across the globe, to deliver complex projects
  • Maturity
  • Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment
  • Strong verbal and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users
  • Advantages:
    • Economics and Behavioural Economics background
    • Experience with time series analysis, causal inference analysis, NLP, XAI
    • We welcome people who can deliver E2E AI projects (inception to production). We primarily use Python in all stages of development
    • Fluent in SQL enough to get the data you need from a warehouse (Vertica, Hive, SparkSQL)
    • Comfortable working in a Linux environment
    • Experience with building end-to-end reusable pipelines from data acquisition to model output delivery

How you will lead

  • Be an active partner of the full cycle of iterative data-driven feature exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation, and visualization
  • Writing and implementing efficient code
  • Interact with a variety of data sources, working closely with peers and partners to refine the product needs, using the underlying data
  • Work and collaborate with other teams across intuit in Israel and abroad
  • Design and build systems that improve machine learning scalability, usability, and performance
  • Work cross-functionally with product managers, data scientists, and engineers to understand, implement, refine, and design machine learning and other algorithms
  • Effectively communicate results to peers and leaders
  • Down the road – Explore the state-of-the-art technologies and apply them to deliver customer benefits

How you’ll succeed

  • Own your projects. Lead ideas from conception to production
  • Work with product managers to accurately define the product features, and build it accordingly
  • Bring both new features to production by the course of the first 12 months
  • Apply research to create high impact solutions
  • Publish papers and/or patents of your work
  • Represent your team’s innovation to the wider organization

WSC Sports is the world’s fastest-growing sports-tech company, the developer of AI-based automation solutions for sports content creation and distribution, automatically and in real-time.

Why WSC-Sports:

Working with Great people in an awesome environment, using cutting edge technologies (video editing, AI, data, and sports- altogether!) with the opportunity to influence innovative products for NBA, Bundesliga, FIBA, Fox Sports, and other sports giants – are only part of the things WSC Sports has to offer!

What you’ll do:

  • Research and develop end-to-end real-time solutions for sports content automation using state-of-the-art deep learning algorithms for video, audio, and data analysis.
  • Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy

What you’ll need:

  • MSc or Ph.D. in Computer Science, Electrical Engineering, Applied Math or related field with a focus on AI/Computer Vision/ML.
  • Theoretical and Hands-on experience with machine and deep learning solutions.
  • Experience in Computer Vision.
  • Strong analytical and problem-solving skills.
  • Excellent self-learning abilities.

DESCRIPTION

Nexar-powered dash cams enable new vision-based applications for better driving. When drivers pair Nexar-powered dash cams with the Nexar app, they join a network that powers new applications for driving and seeing the world. Using anonymous, aggregated data captured from this network, Nexar has developed a portfolio of vision-based data services for public and private sector partners to make roadways safer and more efficient. For automotive companies, dash cams are a gateway to a new era of connected services and new killer apps for drivers, from finding a parking spot to vision-based services.

That’s where you get into the picture. We are looking for smart, passionate, and mission-driven people to bring into our growing team, and help us meet the scale and opportunity in front of us.

We’re looking for a top notch deep learning researcher to help us shape the future of mobility and push the limits of AI.  

Main Responsibilities

  • Research and development of cutting edge machine learning and computer vision algorithms. Research domain includes: visual localization, depth estimation, neural architecture search, self-supervised learning, active learning, action recognition, object detection, object tracking, semantic segmentation, etc.
  • Leverage our massive large-scale datasets into impactful, life-saving products 
  • Work closely with the engineering team on planning and integrating your research projects into production. 
  • Work closely with product and BizDev teams to understand the user and business needs and to translate them into research requirements.

REQUIREMENTS

  • Ph.D / M.Sc. (with thesis) in Computer Science / Physics / Mathematics or any relevant field (Ph.D. and thesis in machine learning/computer vision is a plus)
  • Ph.D / M.Sc. (with thesis) in Computer Science / Physics / Mathematics or any relevant field (Ph.D. and thesis in machine learning/computer vision is a plus)
  • Strong background in machine learning, computer vision and algorithms
  • 3+ years of hands-on experience developing machine-learning/computer Vision algorithms
  • Hands-on experience with at least one major deep learning frameworks (e.g., TensorFlow, PyTorch)
  • Strong programming skills in Python
  • Creative and innovative problem-solving skills with a passion for cutting edge technologies and product delivery 
  • Strong team player and self-learner with excellent communication skills 
  • Get things done attitude

Head of AI

Nanit

We are a Tel Aviv based* technology company developing a brilliant baby monitor for the parenting market. We use advanced computer vision, machine learning and deep learning algorithms to help us measure human behavior. We’re changing parenting forever, with a vision that holds the promise to reveal more about human development than ever imagined.

You will join as the Head of the AI group to join our mission to make parenting easier and safer!

The job:

As the Head of AI, you will be responsible for leading our growing AI team and overseeing the research activities to deliver new AI capabilities, from early stages to production of new and existing products. Your work will be translated into a meaningful impact on parents’ life while delivering mission-critical, real-world systems.

You will lead the full AI product development life cycle, including:

  • Take part in building the AI strategy that will meet the business goals.
  • Manage, grow, and mentor the team, methodologies, technology, and maintaining high standards of execution within the team.
  • Work closely with product management and engineering, to design and implement our products to lead the market.
  • Be an enabler for the company’s growth

Requirements:

  • 5+ years of experience in growing and leading AI teams.
  • 5+ years of hands-on experience in Deep Learning and Computer Vision.
  • Great SW engineering skills (experience with Python, C++, and Matlab is a plus).
  • Experience building and maintaining ML pipeline in cloud environments.
  • Extensive experience in leading the build, deployment, and improvement of Machine Learning systems and algorithms in a growing startup developing real-world products.
  • Up to date knowledge of AI development and research methodologies and processes.
  • Strong understanding of probability, statistics, and information retrieval.
  • Experience with NLP, optimization, and/or HW is a plus.
  • Experience with predictive analytics and human behavior analytics is a plus.
  • Strong ability in taking a business challenge, transforming it into a plan, and leading its execution.
  • Great people and leadership skills.
  • M.Sc./PhD in Computer Science / Electrical Engineering / Physics / Mathematics or similar.

BriefCam® is the industry’s leading provider of Video Synopsis® solutions for rapid video review and search, real-time alerting, and quantitative research insights.

We’re growing and looking for a talented and versatile Algorithm Developer to join our Algorithm Researchers Team, the driving force behind our Deep Learning.

Responsibilities

  • Develop Deep Neural Networks and Computer Vision algorithms to address video understanding and summarization.
  • Programming in Python and C++ and uses GPUs to accelerate neural network training.
  • We are looking for talented people with strong technical and innovative skills, who can learn quickly, solve complex problems and introduce new capabilities.
  • Acting as a key member of the algorithm development team, while reporting to the team leader
  • Researching and implementing state-of-the-art Computer Vision and Deep Learning algorithms
  • Leading projects and feature development
  • Working closely with the data and infrastructure team and the performance and optimization team

Requirements

  • M.Sc. in Computer Science or similar (or B.Sc. with several years of experience).
  • Experience of at least 2 years in Deep Learning.
  • Solid Python and C++ programming skills.
  • Very good interpersonal skills.
  • Experience in Computer Vision – advantage.

BriefCam® is the industry’s leading provider of Video Synopsis® solutions for rapid video review and search, real-time alerting, and quantitative research insights.

We’re growing and looking for a talented and versatile Senior Algorithm Developer to join our Algorithm Researchers Team, the driving force behind our Deep Learning based AI.

Responsibilities

  • We are looking for talented people with lots of experience, strong technical and innovative skills, who can learn quickly, solve complex problems and introduce new capabilities.
  • Developing Deep Neural Networks and Computer Vision algorithms to address video understanding and summarization.
  • Researching and implementing state-of-the-art Computer Vision and Deep Learning algorithms
  • Leading projects and feature development
  • Working closely with the data and infrastructure team and the performance and optimization team
  • Acting as a leading member of the algorithm development team and as a source of knowledge, while reporting to the team leader

Requirements

  • Ph.D. /M.Sc. in Computer Science or similar
  • At least 8 years of professional experience in the fields of Machine and Deep Learning
  • Vast theoretical knowledge in the above fields
  • Solid Python programming skills
  • Ability to lead projects and develop features from research to implementation
  • Very good interpersonal skills combined with an ability and will to mentor and guide other team members
  • Experience in Computer Vision – advantage.
  • Experience in C/C++ – advantage

Machine Learning Engineer

Shutterfly Inc.

At Shutterfly, our purpose is to share life’s joy by connecting people to what matters as the leading platform for personalized products.
Shutterfly’s Machine Learning engineers develop the next-generation technologies that change how millions of users will purchase personalized products. We're looking for engineers who bring fresh ideas from all areas.
Job Description
Are you passionate about machine learning? Does the prospect of solving high impact business problems excite you? Do you want to be part of a team building a new machine learning platform that processes petabytes of data a day in a scalable fashion using AWS technologies?
Shutterfly's Algorithmic Product Creation (APC) is seeking a passionate, talented, and inventive machine learning R&D engineer with a specialization in deep learning to join their team in Haifa. The APC team performs both exploratory and targeted algorithms research and development in a dynamic small team environment.
Responsibilities
The position involves core and applied machine learning research focused on both algorithm development and integration. As a researcher and software R&D engineer, you will be working with millions of records to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of solving complex and ambiguous problems
Skills And Qualifications
A Master's in Computer Science (Machine Learning, AI, Statistics, or equivalent)
2+ years of hands-on experience in machine learning and large data analysis
Good skills with Spark/Python/Perl
Experience working with one or more deep learning frameworks such as TensorFlow, PyTorch
Algorithm and model development experience for large-scale applications
Problem solving ability
Communication and data presentation skills
Bonus points for:
Experience integrating machine learning algorithms into applications
Good skills with SQL
Strong Python development skills

Data Scientist

pecan.ai

Description

With Pecan, organizations can obtain and deploy AI models in days, without relying on data scientists. Pecan is an automated AI-based predictive analytics platform that simplifies and speeds the process of building and deploying predictive models in various customer-related and operational use-cases, such as LTV, Churn, NBO, Risk, and Segmentation. Pecan does not require from its customers any data preparation, engineering or prepossessing – it connects directly to raw data, and uses neural networks to automate the entire predictive process.

As a data scientists team member, you will work at the forefront of the data world, optimizing predictive models and assisting our clients to use those predictions to affect their business. In addition to data analysts and scientists you will work closely with the following levels in our client’s organizations:

  1. C – level executives and VPs
  2. Data analysts
  3. DBA’s
  4. DevOps engineers

Together with the team, you will be continuously helping our clients achieve their business goals, reinforce the value of Pecan’s modules, and the ease of use of our platform. Together, we create and implement predictive analytics’ actions and plans that help several types of businesses that are heavily dependent on data predictions.

Requirements

– 3 years of experience as a data scientist.
– bsc in a relevant field
– experience with python, sql, and spark.

– experience with aws / databricks – advantage

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