Machine learning

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.

The NLP team is working with Customer Success (CS) Speech & Text, to bring the voice of the customer to decision-makers, by listening to the Customer calls in order to identify what actions are needed to help our customers, and how to better run our business.

We are helping CS experts and experts’ managers by automating the call summarization process, as well as providing expert metrics and coaching insights to improve our CS service.

Our projects:

  1. Using NLP to categorize the content of the customer interactions, in order to understand which parts we can change and improve in our UI, documentation or more, in order to improve the customer experience
  2. Automatically summarize the contents of each customer interaction, in order to optimize note-taking by reps
  3. Developing models that grade different angles of rep customer interactions (professionalism, empathy levels), in order to enable better "Coaching" for their managers

What you'll bring

  • NLP Knowledge is an advantage, or affinity to textual data
  • 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 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
  • Strong project management and stakeholder management skills
  • Advantages:
    • 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

Leading the first project which is the flagship of the team. It has the highest data volume (100K calls/day, about 400GB). The project is in production.

The next stages in the roadmap:

  • Explainable AI
  • Trend Identification that goes uncategorized (e.g. COVID19)

How you’ll succeed

  • Own your projects. Lead ideas from conception to production
  • 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

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.
Looking for data science and machine learning expert freelancer.
Background and overview:
We have an early-stage system consisting of a mobile app for collecting voice samples and an algorithm for analyzing these samples for various indicators of the subject's underlying mental state. The algorithm was hand-crafted using general purpose tools and implemented in python.
These days we have completed a stage where we have collected recordings and analyzed them using our algorithm.
The need:
We now wish to validate the algorithm and assess its output and prediction capabilities.

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

Data scientist

Superwise.ai

We’re looking for an experienced data scientist with a strong background in modeling and model evaluation to help us develop and optimize our core algorithms for AI Assurance. Superwise’s solution offers practical capabilities to monitor ML models and gain insights into their behavior in a live production environment. Our mission is to help data science teams to scale their AI effectively. 

As a data scientist you’ll develop and optimize algorithmic solutions for complex, real-world problems in a wide variety of use cases like models performance management, optimization, anomaly detection, bias detection, explainability and more, across multiple industries (fintech, marketing, gaming, etc.). You will also take a critical part in our thought leadership efforts by initiating and collaborating on pieces of content and other articles to help educate the data science and MLOps community.

Requirements

  • M.Sc in a relevant (STEM or related) field with 3-5 years of hands-on experience, ideally in early stage startups or deep tech companies. 
  • Deep knowledge of algorithms, statistics and ML concepts
  • Experience in solving a wide variety of ML tasks (classification, regression, ranking, clustering, anomaly detection, etc.) 
  • Combination of strong research & engineering skills. Proficient with Python and MLDL related packages (pandas, scikit, keras, tensorflow, etc.). Experienced in SQL
  • Analytical, creative thinker with problem-solving skills
  • Ability to perform fast algorithmic poc’s to test future features feasibility.  
  • Good communication skills, ability to clearly explain complex concepts both in writing and orally
  • Writing skills to communicate, explain and share methodologies and thought leadership content

Nice to have:

  • Vast experience in time series anomaly detection – an advantage.
  • Experience with ML explainability methods and strategies.
  • Experience with docker and kubernetes environments.
  • Experience with maintaining  ML models in production and improving performance after deployment
  • Content writing

Machine Learning Engineer

Argus Cyber Security

Key Responsibilities:

  • Design and build high-availability, cloud-scale ML pipelines (ETLs)
  • Develop smart ML infrastructure in order to to build Agile ML processes (MLOps)
  • Develop and deploy real time/batch data processing infrastructure, using the latest technologies
  • Take part in all architecture and development stages – from design to deployment
  • Collaborate with Cyber experts and data scientists to productionize, improve and monitor ML models in various pipelines and stages

Required Skills and Experience:

  • 3+ years of experience in large scale, distributed server side development
  • 2+ years of experience writing ML training and serving pipelines (ETLs)
  • 2+ years of experience using Python
  • Passion for designing scalable, distributable and robust platforms and analytic tools
  • Good understanding of ML processes and concepts – training, serving, evaluation, model lifecycle, etc.
  • Experience with big data tech (Spark Kafka, Kubeflow, Seldon or similar)
  • Experience with Docker, Linux, CI/CD, Kubrenetes, etc
  • Experience working with cloud providers (AWS, GCP, etc)

Advantage:

  • BSc/MSc degree in Computer Science/ Engineering / Mathematics or Statistics
  • Experience creating reports and data visualizations
  • Experience with Java, or other JVM language
  • Experience in the Cybersecurity domain
  • Experience in the Automotive domain
  • Experience with unsupervised learning
  • Team player
  • Presentation skills
The Core Data Science team  at Facebook TLV is looking for a Research Scientist!

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.

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.
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