Machine learning

A top-notch data-driven company. Our Data Science group consists of ~50 people, of which there are 20+ data scientists and others (engineering, curation, and labeling) that help us make our projects successful and impactful for Wix.

We’re looking for a Data Science team leader to lead our Forecasting team. The team plays an essential part by providing revenue predictions for a fast growing business of over $1B in revenue. The forecasting team develops time series and other statistical models which predict many of wix’s revenue streams.

The ideal candidate should have at least 5 years of experience in data science, machine learning, and/or deep learning. You also have a deep understanding of classical ML & DL algos for a wide spectrum of problems and domains and are familiar with time-series projects

You have the technical know-how to advise team members, the managerial skills to prioritize and advance projects, and the interpersonal skills to communicate data science to non-technical management. You also have a practical machine learning experience with Python. You’re willing to work hands-on, potentially working on your own projects while managing the team.

You have profound business acumen and are able to communicate model’s internals and externals to management, while also incorporating external feedback into the models.

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.

At Quris Technologies Ltd. (TLV) we are developing the most advanced technology that will shape the future of drug discovery and clinical trials success prediction. In short, given a drug, we collect data from human cells and use it to predict clinical trial success. This is an opportunity to work closely with the top biologists at the edge of today's bio-tech.

Job Brief

We are seeking a sharp lead data scientist that will help us gain valuable insights from our proprietary data and shape with us the future of drug discovery and clinical trials success prediction.

You should have a strong statistical analysis capability as well as a solid understanding in Machine learning and Deep Learning.

This is a magnificent chance to join a leading technological company from an early stage and make a true impact.

Main Responsibilities

  • Interpret and analyze data problems
  • Build analytic systems and predictive models
  • Experiment with new models and techniques
  • Take part in building our AI infrastructure
  • Test performance of data-driven products
  • Visualize data and create reports
  • Help define our product’s data collection procedures

Requirements

  • Proven experience as a Data Scientist or similar role (5 years min)
  • Solid understanding of machine learning and deep learning
  • Solid understanding and experience in statistical analysis and predictive modeling
  • Excellent Coding skills in Python
  • Knowledge of R (advantage)
  • Excellent communication skills
  • MSc/PhD in Physics, Mathematics, Computer Science or similar field
  • Ability to work as a strong contributing member of a small R&D team
  • Gets things done attitude
  • Ability to take it from research to production
  • Fun to work with!

Big Advantage

  • Experience working with sequential data
  • Experience working with multi-modal data

About NCR

Helping retailers and consumers interact is what we do – and what we’ve done for 130 years. NCR’s portfolio of retail solutions enables seamless consumer interactions, whether in the store, on the go or at home. Our innovative solutions address retailer needs in multiple industries from grocery to general merchandise to convenience stores and specialty retail including POS software, hardware, kiosks, digital signage, self-checkout, services and more.

What are we looking for?
We are looking for an experienced Senior Data Scientist to join our fresh R&D team. If data and statistics are your breakfast, algorithms are your dinner, and you’re passionate about solving complicated real-world challenges, deliver impact, and investigating human phenomena – please reach out!

Responsibilities

  • Derive insights from unique and challenging big retail datasets.
  • Research, develop and integrate data science and machine learning algorithms in customer workflows.
  • Conduct end-to-end applied research, from business understanding, through EDA to models designing, construction and deployment.
  • Communicate outcomes intelligibly to stakeholders.
  • Boost our evolving team with creativity, motivation and innovation.

Must have

  • BSc in Computer Science / Mathematics / Electrical Engineering or equivalent quantitative academic field.
  • 4+ years of programming experience in Python programming and SQL.
  • 4+ years of machine learning hands-on experience.
  • English fluency.

Nice to have

  • Experience with the retail business – problems, needs and opportunities.
  • Experience with software – algorithms, distributed computing (Spark/dask), open source projects experience, Docker, GIT.
  • Experience with developing AI models on cloud environments (GCP / AWS / Azure).

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

We are looking for a team lead to join our Applied Research group in Tel-Aviv.

The applied research group is responsible for algorithmic and machine learning solutions at the heart of Fabric’s product. Examples include task time estimation, resource allocation optimization, demand prediction, and pathfinding algorithms for a multi-robot system. The group is growing and is now looking for a team lead to join.

Job Overview

As a team lead, you will define the roadmap for a team of applied researchers, and lead its implementation. The team will consist of 2-6 researchers (depending on the candidate's managerial experience), delivering both analyses (projects whose outcome is an insight) and working software services in production. The team lead role is expected to be ~50% hands-on (but may vary, depending on managerial experience and the size of the team).

Responsibilities

● Define a roadmap for the team (working closely with the Product organization).

● Lead the team in executing its roadmap, delivering analysis results and working software services in production.

● Own the team’s working processes: sync with stakeholders, design reviews, code reviews, deployments, retrospectives.

● Mentor, guide, and motivate the team.

Requirements

● MSc or higher in CS, industrial engineering, or other relevant quantitative fields.

● At least 7 years of relevant experience in research, data science and algorithms development, and familiarity with a variety of tools within these disciplines.

● Experience as a team lead or a tech lead.

● Good software engineering skills and proficiency in Python.

● Excellent collaboration and communication skills, and ability to take part in diverse cross-functional teams.

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)

About The Position

Iguazio is looking for a Data Science and Engineering Team Leader to be part of our all-star CTO innovation team and play a critical role in our mission to help our enterprise customers bring their data science to life.

The CTO innovation team is responsible for bringing into play their data science, scientific knowledge and engineering skills contribute to the development and delivery of our machine learning automation solution.

As Data Science and Engineering Team Leader you will be heading data-science implementations and feature engineering modules in a variety of fields (ML, DL, NLP, etc.) for Iguazio open-source ML automation framework (MLRun); lead all data science aspects of our customers’ engagements: complex problem solving, building demos and major customer POC projects.

What You’ll Do

  • Develop data-science and feature engineering modules on top of Iguazio and other open-source frameworks (MLRun, Kubeflow, SKlearn, TensorFlow, PyTorch, Dask, Nuclio etc.)
  • Build end to end demos, POCs and ML pipelines to support new and existing customers who are trying to productize their ML/AI initiatives
  • Participate in research and technology innovation to develop more efficient and automated ways to handle ML/DL workloads at scale
  • Participate in new product/feature definitions
  • Work mostly with Python on Kubernetes environment
  • Lead a team of Data Scientists

Essential Skills

You must be passionate about data science, versatile and flexible, team player, with a strong can-do mentality. Be a people person with great communication, and ability to work in a fast-paced and dynamic working environment.

Does This Describe You?

  • At least 5 years of experience as a data scientist
  • Experience writing code in Python and using Python data-science frameworks
  • Proficiency with a deep learning framework such as TensorFlow or Keras
  • Experience with building solutions with the Big Data tools and frameworks such as Jupyter Notebook, Spark, Hadoop, Cassandra, NoSQL, etc. – an advantage
  • Design and develop NLP applications and products- an advantage
  • Ability to work with external clients together with great communication skills; ability to talk in webinars, conferences, etc.
  • Ability to mentor and develop your talented team members
  • Ability to quickly learn new technologies, frameworks, and algorithms
  • BSc in Mathematics, Physics, Computer Science, or another related field
  • Very good English, written and verbal

About the Company

Data science is too important to today’s enterprise to be held back by delays and inefficiencies.

We’re building a faster, easier, and smarter way for data science to flow seamlessly from raw idea to real-world impact. This is data science brought to life.

פרסם משרה
X