NVIDIA is the world leader in multiple areas of Accelerated Computing and is supercharging computing for the most demanding users. We are well positioned as the ‘AI Computing Company’, and our software stack use GPUs to power all modern Deep Learning software frameworks, Machine Learning, Accelerated Analytics and workflows across a wide range of verticals as well as hosted in every major cloud provider and by every computer OEM.

We are looking for a Solution Architect who is passionate about growing our presence in Israel.

What You’ll Be Doing

  • You will partner with our Business Development team to secure design wins, and to lead the support of the product through customer proof-of-concept evaluations, gaps in collateral, and industry demo capability.
  • You will coordinate the setup of experiments, tests, equipment, and otherwise facilitate evaluations that help solve customer, partner, and ISV problems using GPU deep learning and other NVIDIA technologies
  • Be industry champion and contributor on integrating NVIDIA technology into Enterprise Computing architectures to support HPC/Machine Learning, Deep Learning, and Data Analytics
  • You will establish close technical ties to the client facing teams, establishing personal relationships to facilitate rapid resolution of issues and promote the highest levels of customer satisfaction
  • You will work closely and collaborate with the NVIDIA customer account team, other Solution Architects, and/or product engineering teams during.
  • Comfortable working across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers.

What We Need To See

  • Ability to engage multiple levels of organizations.
  • BSc and higher Degree in Engineering, Mathematics, Physics, or Computer Science
  • Extensive experience delivering Enterprise Accelerated Computing (HPC, Deep Learning, Machine Learning) computing infrastructure.
  • Modern Bi-Modal datacenters for enterprise computing architectures– Storage, Compute, and Software stacks.
  • Exposure to C, Python, Java, or C++ programming
  • Parallel programming expertise
  • Exposure to GPU technology and CUDA programming
  • Direct experience architecting, managing, and supporting shared compute infrastructure software
  • Experience working with enterprise developers and academic research community supporting computer vision, data analytics, or Deep Learning.
  • Strong verbal and written communication skills
  • Strong teamwork and interpersonal skills
  • Ability to multitask effectively in a dynamic environment
  • Dedicated with strong analytical skills
  • Desire to be involved in diverse and creative work

Ways To Stand Out From The Crowd

  • CUDA optimization experience
  • Specialty skills in large scale computing clusters, and use of Machine Learning (XGBoost, PCA, SVM, KNN) or Deep Learning (CNN, LSTM, VAE).
  • Experience with Devops tools including Docker containers and Data Scientists workflows
  • Experience with Kubernetes, OpenStack, or SLURM for workload orchestration.
  • Skills in analytical problem solving and using data analysis to support strategic decisions
  • You are a self-starter with mindset for growth and real passion for continuous learning.
  • Strong presentation skills

Dynamic Yield is looking for a Machine Learning Engineer to join our Predictors team.

We are an Israeli company, and were recently purchased by McDonald's(!). We develop a personalization engine, which basically allows a website to adapt and change itself to fit the person who views it. To do that, we use different ML solutions on a very large scale (hundreds of models, real time serving), and we need more engineers to help us grow.

Necessary skills:

  • Degree in Computer Science or a related discipline from a top university, or relevant army experience. Self-taught hackers are also welcome
  • A passion for clean, robust code and performance tuning
  • At least three years of professional software development experience
  • Excellent knowledge of an OO language
  • Being a Team player, and fun to work with!
  • Experience with BigData / NoSQL / Stream processing technologies (e.g Spark,Flink, Redis, Kafka)
  • Experience with building machine learning pipelines – a plus
  • Familiarity with and passion for machine learning algorithms – a plus.

About the Role:

We are looking for a top-notch experienced data scientist that will help us to discover the information hidden in vast amounts of data, and make smarter decisions to deliver better products. You will join a dynamic and fast-paced startup environment to design, build and roll-out prediction systems integrated with our products to deliver Curve’s vision and strategy.

Primary Responsibilities:

  • Build machine learning-based processes and algorithms, such as recommendations engines and automated prediction systems
  • Automate data collection procedures, and preprocessing of structured and unstructured data
  • Analyze large amounts of data to discover trends and patterns
  • Select features and leverage them to build and optimize classifiers using machine learning algorithms
  • Apply data mining techniques, perform statistical analysis, and build high quality prediction modeling
  • Create automated anomaly detection systems and constant tracking of its performance
  • Meet the business vision and strategy in accordance with the product innovation backlog
  • Collaborate with the product, engineering and UX/UI teams to deliver usable and informative analytical interfaces

Basic Requirements:

  • Proven experience as a Data Scientist working with B2C / B2B2C SaaS products
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
  • Experience in data mining and insight drawing from large manipulated data sets
  • Experience with common data science toolkits, such as Python, R, MatLab, Weka, etc. Excellence in at least one of these is highly desirable
  • Proficiency in using query languages such as SQL, Hive, Pig
  • Good applied statistics skills, such as distributions, statistical testing, etc.
  • Excellent scripting and programming skills. Familiarity with Scala, Java or C++ is an advantage
  • Experience with data visualization / BI tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
  • Data-oriented personality, analytical mind, and problem-solving aptitude
  • Team player with great communication and presentation skills to tech / non-tech people alike
  • Sc. in Computer Science, Engineering, Mathematics or relevant field; graduate degree in Data Science or other quantitative field is preferred
  • Fluent in English, both written and verbal

We are a start-up at a pre-seed stage in the area of the AI for the Pharma Drug development, aiming to discover new medication opportunities. The area of AI for the Pharma industry is rapidly evolving these days with special focus and significant investments from the Pharma companies, investors and governments, and opens great opportunities to get to the most complex Data Science challenges in parallel with contributing to the well-being of the humanity.

We are looking for a Senior Data Scientist to lead the Data Science and Machine Learning aspects of our endeavor. The relevant person will be part of the startup core team and will be key player in shaping our solution and roadmap.


  • Team player
  • At least 5 years industry experience as DS/ML team manager
  • Master’s degree/PhD in either Data science, statistics, bio-statistics, etc.
  • Experience in unsupervised learning and NLP
  • Hands on experience as a developer in python
  • Experience in leading end-to-end Machine Learning projects
  • Understanding of the medical or biological data can be a great advantage

We’ll be glad to meet with the relevant candidates to tell more about us and our vision and discuss engagement opportunities.

Lead Data Scientist


ZipRecruiter is changing the way job seekers get hired and how small businesses manage their HR. Our R&D center in Tel Aviv offer an empowering, fun and collaborative culture where talented individuals who think like business-owners and entrepreneurs are invited to join our growing team.

We use models and algorithms of machine-learning and deep-learning to find candidates for a job, and get the job information to reach the candidate as quickly as possible to allow the employer to reach the best candidates in the least possible time.

We're seeking an outstanding lead Data Scientist with a passion for problem-solving to bring his/her own take on finding a great match between job and employee, coming up with new models, developing high quality, high-performance code and constantly improving the solution and expanding its scope.

The ideal candidate can lead the algorithmic aspects of the projects and work hands-on with rest of the team on the implementation,

This means that you need to have good development skills in addition to experience with NLP/Machine Learning algorithms/Text analytics/Recommendation Engine.


  • You'll be joining a team of data scientists which initiate and build models and logic
  • Develop production-level code that runs and trains these models
  • Deliver algorithms that constantly improve the quality of our matching


  • Master's degree or higher in Computer Science / Mathematics / Statistics
  • At least 10 years experience in programming (Java / Python)
  • NLP / Machine Learning / Deep Learning experience
  • Experience in algorithm design and implementation
  • Experience with Linux environment, AWS an advantage
  • Team player with excellent communication skills
  • Fluent in English

Benefits & Perks:

  • A fun environment where work-life balance is valued
  • Opportunities for advancement as our young startup grows
  • Very competitive salary
  • Generous bonus plan
  • Competitive benefits package
  • Healthy snacks

Lead Data Scientist


As the lead data scientist at SecuredTouch, you’ll be working directly on our core technology. You’ll work with rich data to keep improving our products while also deriving new and innovative data-driven solutions to the problems of fraud detection and user authentication.


 – Designing and Implementing Machine Learning algorithms

 – Researching, identifying and analyzing new data sets and data sources

 – Overseeing all the data science related projects and managing the backlog

 – Working closely with the SDK developers and domain experts, improving the data collection

 – Working closely with engineers, integrating the algorithms into a real time production environment


 – Deep knowledge and experience with machine learning, algorithm development and data analysis

 – Hands on experience with Python and relevant data science packages

 – 3+ years of relevant hands on experience that includes developing and implementing machine learning algorithms

 – B.Sc degree in engineering / computer science / mathematics / statistics or other related field

 – M.Sc – Advantage


– Part time – 80%

Head of Data


Namogoo is looking for an experienced Head of Data to lead our data analytics activities. As the Head of Data reporting to the CTO, you will be at the core of all data-related activity, at a company that has taken data to the extreme. Namogoo runs on billions of page views and collects large amounts of data points, serving top global brands. As the leader of these activities, you will be working with all relevant teams in the company such as: Product, R&D, Operations, Customer Success, Finance and Sales. Your contribution will have a great impact on the company’s business. You will have the privilege to manage top talents and grow the team with your vision.

Skills & Experience

3 years of experience in managing data teams at highly-reputable companies

5+ years of data analysis with SQL

Strong ability to take a business challenge, transform it into a plan and lead execution

Proven collaboration skills and a proven track record of successfully building and nurturing multi-level relationships

Strong capabilities of building organized processes and structured formal documentation

B.Sc. or higher in Computer Science

Elite unit in the army – strong advantage

Our algorithmic research team is looking for a strong RL & random process researcher, with a passion for modeling, creative problem-solving, and excellence.

In this role, you will be exploring exciting research avenues in healthcare, with emphasis on a patient’s medical journey.
You will be building game-changing medical solutions, lead complicated projects and make a significant impact on people’s health.

You must have proven experience in researching and developing machine learning algorithms and good interpersonal skills.

Important attributes

  • M.Sc./PhD in data-science or related fields.
  • A positive attitude, willingness to learn and teach, and the ability to lead by example.
  • 3+ years of experience as a data scientist / algorithms research and development.
  • Strong problem-solving skills.

Bonus points for

  • Good familiarity with Deep Learning.
  • Math background.
  • Strong programming skills.
  • Experience with PyTorch.
  • Passion for medicine, health, wellbeing, and the desire to make a positive impact.

About Us

K Health is transforming the world of medicine as we know it and it will touch many people's lives. At K Health – doctors, mathematicians, data scientists, data architects, and engineers work together to create a complex, challenging, consumer-facing product and we need smart, forward-thinking people to take us to the next step.

We are looking for an Algorithm Developer to join our efforts. As an Algorithm Developer you will work tightly with the CTO to invent new approaches and technologies.

You will develop algorithms in the following areas:

  • Super high resolution beamforming schemes
  • Audio DSP
  • Acoustical array calibration
  • Acoustic propagation simulation


  • M.Sc / PhD in CS, EE, or similar
  • Mathematical skills – Linear Algebra, DSP and statistical analysis
  • Experience with data acquisition, analysis, and statistical methods
  • 2+ years of experience with algorithms development in Python, Matlab, R or similar.
  • Familiarity with C or C++
  • AI ,  Machine Learning – advantage

Working with InSoundz

The group handles multidisciplinary tasks starting from real time processing, algorithms development and all the way to providing backend infrastructure for integration with the customer. Each R&D team member is responsible for inventing, building, implementing and supporting InSoundz products for a diverse set of customers.

Our vision is to build innovative products that inspire and enable our customers to bring content never heard before.

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