Deep learning

Loora is reinventing the way we learn languages, making it possible for anyone to have their own personal fun and engaging AI English tutor.

Our innovative and unique consumer experience relies heavily on the state-of-the-art in domains such as text generation, dialog, question answering, grammar correction and knowledge-grounded LMs.

We are looking for an applied Deep Learning Researcher to join our growing core team. You will lead projects from research to production, solving real-world problems while pushing the limits of conversational AI. Join us now to truly impact the product we're building!

Requirements:

  • MSc / PhD in deep learning or a related field (NLP, CV, Speech).
  • 2+ years of work experience building production ML systems.
  • 2+ years experience with PyTorch, Tensorflow, or similar.
  • Strong coding skills.

Even better if you have:

  • Experience with bringing academic research to industry applications.
  • Publications at workshops or conferences such as ACL, EMNLP, NAACL, ICML, ICLR, NeurIPS, CVPR.
  • A passion for learning languages.

Deep Learning Research Student

Foundations of Deep Learning Lab, Tel Aviv University

TL;DR:

The Foundations of Deep Learning Lab at Tel Aviv University's School of Computer Science is looking for excellent research students to help develop a mathematical theory behind deep learning.

About us:

Deep learning is experiencing unprecedented success in recent years, delivering state of the art performance in a multitude of application domains.  However, despite its extreme popularity and the vast attention it is receiving, our formal understanding of deep learning is limited.  Its application in practice is based primarily on conventional wisdom, trial-and-error, and intuition, often leading to suboptimal results (compromising not only effectiveness, but also safety, privacy and/or fairness).

The Foundations of Deep Learning Lab at Tel Aviv University's School of Computer Science is developing a mathematical theory behind deep learning, with the aim of shedding light on existing empirical findings, and more importantly, leading to principled methods that bring forth improved performance and new capabilities.  The lab is headed by Dr. Nadav Cohen, and regularly publishes in top tier machine learning venues (e.g. NeurIPS, ICML, ICLR).  Its research is highly mathematical, but also includes extensive empirical evaluations that support theory.  For more information please visit: https://www.cohennadav.com/.

We are looking for:

You, an excellent mathematically inclined research student, to join us, and help crack open the black box of deep learning.  Typical entry to the lab is at MSc level, with the option of pursuing a subsequent PhD if there is mutual interest.  Entry at PhD level is also possible, but only in exceptional cases.  If interested in applying, please verify that you meet the criteria below, and if so, include in your application CV and grade transcripts.

Prospective MSc students:

Requirements

* BSc from a well-known university, with GPA of at least 95.0/100 (or equivalent), in one of the following disciplines: (i) Mathematics; (ii) Mathematics & Computer Science; (iii) Mathematics & Electrical Engineering; or (iv) Mathematics & Physics.

* Successful completion of introductory course in machine learning (Tel Aviv University's course #0368323501 or equivalent)

* Solid Python programming skills

* Willingness and ability to devote full-time to research

* High degree of independence, work ethic and creativity

Advantage

* Experience with deep learning frameworks (e.g. PyTorch or TensorFlow)

* Professional (industry) experience in machine learning

Prospective PhD students:

In addition to the requirements above, applicants interested in joining at PhD level are expected to meet at least one of the following:

* Proven track record in machine learning research (with publication in top-tier venues)

* Advanced coursework and research in either of the following: Statistics, Optimization, Dynamical Systems, Numerical Analysis, Quantum Physics or Quantum Computing.

About Us

Riskified empowers merchants and shoppers to realize the full potential of eCommerce by making it safe, accessible, and frictionless. Our global team helps the world’s most-innovative eCommerce merchants eliminate risk and uncertainty from their business. Merchants integrate Riskified’s machine learning platform to create trusted customer relationships, driving higher sales while reducing costs. Riskified has reviewed hundreds of millions of transactions and approved billions of dollars of revenue for global brands and fast-growing businesses across industries, including Wayfair, Wish, Peloton, Gucci, and many more. As of July 29th, 2021, Riskified has begun trading on NYSE under the ticker RSKD.

Our Research Team

  • We are focused on bringing value to Riskified through the development of models and analytical solutions across domains. We use a wide variety of advanced techniques and algorithms to provide maximum value from data in all shapes and sizes: classic ML and deep learning, supervised and unsupervised, NLP, anomaly detection, graph theory, and more.
  • We use the most cutting-edge solutions – from event driven (Kafka), to big data solutions (Spark), Cloud operations (Docker & Kubernetes), Workflow orchestration (Airflow & Argo) and Machine Learning Platforms (Databricks & Kubeflow), working in Python and R.
  • We’re a friendly, fun and diverse team. We’re passionate about making data-driven decisions, being open-minded and creative, while communicating openly and honestly. We thrive in a continuous learning culture to promote growth and remain at the forefront of technological innovation.

About the Role

The Data Sources team is responsible for exploring and leveraging the various data sources that make Riskified’s models and products possible. The team proactively explores data sources that can contribute new information and value to our models, feature engineer the raw data, and evaluates the expected value from these sources by augmenting our production models and testing for performance lift. These data sources include 3rd party vendors, open source data, our internally developed beacon and any additional information that may be provided by our customers.

The team's data scientists are experts at exploratory analysis, can quickly dig into new noisy unstructured big data that has barely been touched before, and creatively manipulate it for model improvements.

What You'll Be Doing

  • Be part of a team responsible for research, analysis, model training and validations aiming to improve our products through exploiting diverse data sources
  • Develop and own DS products and novel algorithms based on our beacon’s data
  • Explore and analyze new and noisy data, optimize it through feature engineering methods, and evaluate its potential
  • Master the online fraud prevention domain

Qualifications

  • At least 3 years experience as a Data Scientist in the industry
  • B.Sc / M.Sc in exact sciences
  • Experienced with data science best-practices and machine learning algorithms
  • Proficient in R or Python – functions creation, data wrangling, modelling
  • Solid understanding of statistics and applied mathematics
  • Experience with analyzing unstructured, big-data – advantage
  • Creative thinker with a proven ability to innovate through data exploration and application of non-trivial solutions
  • Good communication skills, ability to clearly explain complex concepts

WalkMe is looking for an Algorithm Developer , which is both hands-on and an ace problem solver to join our amazing DeepUI team.

We are developing WalkMe’s revolutionary runtime engine and transforming the online experience for hundreds of millions of users. Our proprietary AI-based technology is bringing the world's leading digital adoption platform to the next level by understanding and interacting in real time with graphical user interfaces at a human level. We are looking for people who are passionate about leading technology to the extreme. If you are striving to develop an innovative product, make an impact, and work with the industry’s brightest talent as part of one of the fastest-growing and successful startups around – WalkMe is where you want to be

What will you actually be doing?

    • Develop and apply advanced algorithms to the exciting and rapidly evolving domain of GUI perception.
    • Be responsible for full R&D cycle: from problem definition and research, to design, implementation and deployment of new algorithmic solutions and models, both client and server side.
    • Analyze large amounts of structuredunstructured data and develop data driven algorithms and models.
    • Participate in fast-paced research while running in production.

What should you bring to the table?

    • BSc / MSc in Computer Sciences / Engineering / Mathematics from a leading academic institute.
    • Programming experience in JavaScript/ Node.js and Python.
    • Great communication, interpersonal and problem solving skills.
    • Hands-on experience with web technologies and cloud architectures (an advantage).
    • Deep understanding of javascript runtime core concepts (an advantage).
    • Familiarity with algorithms in the following fields: machine learning, natural language processing, graphs and networks (an advantage).

WalkMe, the leader in Digital Adoption, provides the world's first Digital Adoption Platform (DAP), designed to help enterprises guide and engage end-users through an array of websites and applications.

Why WalkMe?

WalkMe was recently ranked by Dun & Bradstreet as 1 of the TOP 20 companies to work for in Israel We were recognized by Deloitte as the 6th fastest growing Software company in the world, which means our employees have the opportunity to grow with us.

We raise our own leaders and encourage employees in all ranks to take initiative and own their work. You will get the chance to work with Israel's top talent.

Our warm startup environment offers the best supplies, food, fruits and swag to keep you happy and comfortable.

You can join our soccer team, band, weekly card nights, FIFA tournaments, karaoke nights and other various fun and spontaneous activities.

That’s just the beginning. We can go on and on, but.. apply to find out more

Data Science Student

XACT Robotics

About Us

XACT Robotics® is a privately held, early-stage company focused on the advancing the field of radiology by developing the world’s first and only hands-free robotic solutions that can significantly improve targeting accuracy, efficiency, and consistency in percutaneous radiology procedures.

At XACT, we embrace the philosophy of collaboration, tenacity, and extreme ownership. Our family culture empowers and inspires as we partner, develop, and execute meaningful technologies to make a difference in the lives of patients.  A career at XACT Robotics is more than a job, it’s personal.  Employees have passion, drive, and a winning spirit that allows for a fast-paced environment that is effective, empowering and fun.

Main Responsibilities

  • Research, design, and implementation of Machine/Deep Learning models for Computer-Vision, Image-Processing, Time-Series and Medical data analysis.
  • Design and implementation of data engineering pipelines and tools.
  • Taking a leading part in deployment and integration of complex algorithms into working products.
  • Become an active member of a multi-disciplinary R&D team and participate in cross-teams projects and activities.

Qualifications & Requirements

  • BSc or MSc student in Exact Sciences (Focusing on Machine/Deep Learning)
  • Hands-On experience with Python and its popular libraries (NumPy, Pandas, SciPy, Matplotlib)
  • Familiarity with ML/DL frameworks (Scikit-Learn, TensorFlow, Keras, Pytorch)
  • Collaborative and a Team player
  • Willingness to improve peoples’ lives

Advantage:

  • Experience with working on end-to-end DS projects
  • Experience in Deep Learning
  • Experience in Computer Vision / Image Processing
  • Experience with working in the cloud (AWS/Azure/GCP)

Image Processing and CV Algorithm Engineer

SIRC - Samsung Israel R&D Center

About The Position

Samsung R&D Center is looking for Image Processing and Computer Vision Algorithm Engineer to join us.

The Team

Time of Flight (ToF) team is responsible for designing algorithms for depth sensors.

By solving real world problems and researching advanced 3D data enhancement, we are able to provide high quality 3D images that are required for many

applications including AR/VR.

What will you do?

  • Develop and implement 3D algorithms for mobile sensors
  • Explore and solve real world problems
  • Follow your design through the full development stage from idea to product including research, implementation, testing and fine-tuning in the final product.

Requirements

  • MSc or PhD in EE/CS/Physics/Mathematics– Must
  • 5 years of experience in Algorithm development- Must
  • Python experience – Must
  • Experience in Computer Vision and/or Image Processing – Advantage
  • C/C++ experience – Advantage
  • Practical experience in Deep Learning – Advantage
  • “Can do” attitude and hunger to push one’s boundaries
  • Fluent in English

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.

Requirements

  • 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.

Seeking Alpha is the market leader for crowdsourced equity research in the USA. The company is the premier website for actionable stock market opinion and analysis, and vibrant, intelligent finance discussion. Each month our crowdsource investment analysis draws an audience of 5.2MM+ monthly visitors to our real-time alerts products on email and mobile. We employ 290+ people across our operations in New York, Israel and India.

We handpick articles from the world’s top market blogs, money managers, financial experts and investment newsletters, publishing 500 unique articles and news updates daily. The company gives a voice to over 5.5MM registered users, including 12,000+ contributors and individuals averaging 130,000+ comments a month, providing access to the nation’s savviest and inquisitive investors.

Our site is the only free, online source for over 5,000 public companies’ quarterly earnings call transcripts, including the S&P 500. The company was named the Most Informative Website by Kiplinger’s Magazine and has received Forbes ‘Best of the Web’ Award.

Responsibilities: 

  • Be part of a new data-science team where you will lead end-to-end ML projects. (from business understanding through data extraction, research, algorithm development, evaluation, optimization & A/B testing to model deployment).
  • Take part in developing new cutting edge algorithms based on various ML techniques.
  • Improve our ML pipeline.
  • Work in a short life-cycle research and development environment, while continually adjusting algorithms according to A/B testing feedback.
  • Work closely with the Product, Marketing, Data Analysts and Development teams.
  • Convey complex analysis results clearly and with conviction to stakeholders.

Requirements: 

  • MSc in Computer Science. Statistics, SoftwareInformation System Engineering, or similar from a known academic institute, specializing in Machine Learning. (PhD is an advantage).
  • 3+ years of experience in researching and implementing machine learning algorithms in an online production environment.
  • Excellent programming skills and deep knowledge of machine learning. Not knowledge of packages, but rather knowledge of how things work.
  • Fluent in SQL.
  • Strong analytical skills and creative thinking.
  • Independent and fast learner that can work alone and in teams.
  • Great communication and interpersonal skills.
  • Hands-on experience with implementing Recommender System models in scale.
  • Experience with Deep Learning frameworks (PyTorch, Keras).
  • Experience with cloud SaaS environments (e.g., AWS, Azure, GCP).
  • Experience with Natural Language Processing (NLP) or Reinforcement learning-based algorithms is an advantage.
  • Experience with Big Data framework is an advantage (e.g., Kafka, Spark, Hadoop).

Zone7 is a cloud-based platform delivering AI algorithms that analyze athlete data to reduce the risk of injury and improve athlete performance. By analyzing data from thousands of athletes, we find patterns that lead to injury or peak performance and apply these learnings to create optimal recovery and workload plans.

Zone7 is based in SF and Tel Aviv and she is looking for an experienced Data Scientist that can bring a substantial added value to their data science team.

Position Overview

We’re looking for an experienced Data Scientist that can bring a substantial added value to our data science team. This position will include analysis of match stats, performance data, physiological tracking, biomechanical screening, and health biomarkers, to upgrade existing algorithms and develop new algorithms, alongside the delivery of algorithm outputs to a non-tech environment. This position will also enable you to take a key role in further building the company, alongside having a decisive influence on our product, data science stack, and infrastructure.

What You’ll Do

• Build our ML & DL models and recommendations engine.

• Bring in new methods to upgrade our platform's performance and quality of insights.

• Develop the infrastructure we use to import and integrate the different data types we analyze.

• Design and implement data science stack upgrades that will enable scaling the solutions we currently offer.

• Tailor our solutions for elite organizations’ specific requirements

Skills and Requirements

• Be able to successfully work in a team and communicate opinions and insights to help develop the company.

• significant experience in problem-solving using ML and DL methods.

• Experience with Cloud Big Data computing design, provisioning, and tuning.

• Experience with Big Data technologies (e.g., Spark, Hadoop, NoSQL engines, different data file formats).

• Knowledge of scripting and programming languages such as Python is mandatory.

• Experience with data from sensors and time series data is an advantage.

• Passion for sports is an advantage. A background in competitive sports even more so.

• Knowledge in life science, especially exercise physiology or biomechanics is an advantage as well.

 

ML Tech Lead

Perceive Brain Health

Perceive is an early-stage digital health startup focused on voice-based medical screening.

We’re looking for a collaborative and highly motivated Machine Learning Tech Lead to help us extract value from our data and develop potentially life-saving algorithms.

In particular, we need a Machine Learning expert able to develop data-driven algorithms combining Deep Learning methods with classic speech analysis techniques.

Qualifications:

– B.Sc. in Computer Science, Electrical Engineering or Mathematics. M.Sc. a plus.

– 4+ years of experience in coding, at least 3 years of practical experience in Data Science techniques and algorithm development.

– Strong coding skills.

– Able to adjust and implement state of the art ML algorithms.

– Experience in Deep Learning, and specifically for speech problems.

– Proficiency with Python and basic libraries for ML.

– Deep knowledge of math techniques, probability, statistics and algorithms.

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