ML engineer


VATBox has successfully digitised the VAT/GST recovery workflow with its cloud-based enterprise recovery solution. Using intelligent automation, VATBox helps large corporations – including Fortune 500 companies – gain actionable insight into their transactional data, empowering finance and tax professionals with full data integrity, tight compliance and maximum savings. Fusing AI and Computer Vision with human expertise, VATBox provides a full spectrum of VAT/GST audit and recovery services. Benchmarks for tax, finance and procurement – aimed to encourage process improvements and compliance – are all collected in one easy-to-use portal with drill-down capabilities into every single transaction, no matter how small.

Join us to support our mission to empower tax professionals to make strategic business decisions based on transactional data.

About the position:
You will work on designing and implementing high performance infrastructure for training and deploying machine learning models to provide fast, robust, highly scalable services in production. This will include working with data scientists to facilitate their work whilst ensuring software engineering best-practice.

Key Responsibilities:
Design and implement infrastructure to train, deploy, and monitor machine learning models.
Work with distributed computing technologies for processing big-data to train-models and make features available in production.
Write production-ready Python code for model training and deployment.

About You:
Practical understanding of Machine Learning
Able to write high quality, production-ready, Python code
Experience with SQL databases and key-value stores (NoSQL)
Understanding of HTTP and RESTful design
Experience working with containerization and orchestration technologies – docker, kubernetes.
Experience working with AWS or at least another common cloud platform (GCP/Azure)
Familiar with distributed general-purpose cluster-computing (e.g. Spark, Dask, Ray)
Comfortable with unix-based systems
Familiar with testing methodologies and TDD best practices
BSc in Computer Science or equivalent (advanced courses or a MSc in a related field are a major plus)

Not a must, but great to have:
Experience partaking machine learning research and model building from scratch
Basic familiarity with ETL/BI tools & methodologies
Experience with using tools in the MLOps domain (Kubeflow, Apache Airflow)
Familiar with Scala

What we offer:
Competitive salary.
Generous compensation package.
The best tools and equipment to ensure smooth working (personal laptop, headphones, ergonomic bag and a secret surprise…)
Ongoing training and mentoring by industry leaders to empower you to be at your best and achieve the most.
Innovative & fun working environment where your express your creative ideas and execute your professional goals.

VATBox is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, colour, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or other applicable legally protected characteristics.

Are you a talented data scientist with industry experience? Are you thrilled by the opportunity to engineer robust solutions that eat real world constraints for breakfast? NetApp’s growing data science team is looking for you!

NetApp’s R&D center in Tel-Aviv is now recruiting a senior data-scientist for multiple projects: You will join a small and growing team of data scientists responsible for the entire cycle of proprietary machine & deep learning solutions.

Our solutions process huge amounts of texts in many different languages, comprehend the essence and context and provide information to the enterprise regarding sensitive information assets found in the data. We identify the most secret and secure information in the pile of millions of textual fragments, regardless of language, culture and domain.

You will research, develop and deploy machine learning pipelines that empower organizations to map and protect their most sensitive information effortlessly. The solutions you will build will be deployed into a finalized product serving thousands of companies, and protecting personal information of millions of people.


  • 3+ years of hands-on machine learning experience in the industry
  • M.Sc in CS / EE / exact science fields from leading universities (or B.Sc with outstanding ML engineering experience)
  • Hands-on experience in back-end development (server side) / strong software engineering background, coding in python/Java/C++
  • Can-do attitude and desire to become a technological focal point in the company
  • Familiarity with TensorFlow / Keras / PyTorch, as well as sklearn, Jupyter and pandas
  • Experience in leading large projects at the component level
  • Ability to quickly prototype ideas / solutions, perform critical analysis and using creative research approaches for solving complex problems

Preferred requirements:

  • Experience in developing and deploying deep learning architectures at scale
  • Expertise in NLP, time series and/or anomaly detection problems
  • Proven experience in real world problem solving, ideally from NLP domain (e.g. encountering unexpected data, monitoring models performance after deployment and production challenges)
  • Inquisitive and problem solver mentality
  • Methodological with ability to break-down complex problems
  • You will work as part of one of the strongest teams in Israel. The A.I. team is coming from elite technology units. (e.g. Talpiot)
  • Our people are by far our most important asset. We see it as the most important aspect of our job to make sure our team members feel we truly care for them as humans, feel highly appreciated for their accomplishments and efforts and constantly develop their careers
  • You will receive end-to-end ownership for the engineering of cutting edge A.I. algorithms and services in the domains of Deep Learning, Computer Vision, NLP and big data
  • You will work in a unique professional culture championing thorough software engineering as a core part of the algorithmic work and ownership. We are literally writing the methodology for engineering and design in the world of A.I.
  • It is a critical role for the company’s growth and velocity
  • Ownership of tasks and doing whatever it takes for the company to succeed
  • Engineers who will look for the simplest A.I. solution that answers the business problem
  • High standards, thoroughness and attention to detail
  • Passion for clean software engineering, with at least two years of experience in writing production code or modules in large software repositories
  • Independent learning capability and curiosity without boundaries
  • Strong background in algorithms and A.I.
  • An advantage for people with experience in the following domains:

    • Computer Vision, NLP
    • Algorithmic R&D infrastructure
    • Writing clean code
    • Service-based architecture

L1ght is looking to hire a Chief Scientist – a scientific person that's both theoretical & practical. Join our team!

About Us

Our DNA is rooted in cybersecurity and white hat hacking. It’s with this that we're building technology to protect children & adults from toxic online behavior.

Job Overview

Manage a team of data scientists and the IP portfolio of the company. Stay on top of developments in the field of algorithms, emphasis on NLP. You will report to the CTO.

Responsibilities and Duties

– Manage data science & data analysis teams: Vision, planning, execution – Manage IP portfolio: Writing, filing, maintenance


– Ph.D. in Computer Science or relevant engineering degree

– 8+ years of experience leading & managing data science projects

– 5+ years of experience managing 10+ member teams directly

– Proven track record in patent writing & IP generation (took part in generating & filing 10+ patents that can be tracked)

– Extensive, hands-on experience developing ML algorithms in the field of NLP

– Proven track record pushing ML to production

– Must have experience building a strong algorithm team

– Coding skills are a must

– People person & team player

About Us

Our DNA is rooted in cybersecurity and white hat hacking. It’s with this that we're building technology to protect children & adults from toxic online behavior.

Job Overview

Crunch texts, images, videos, audio files, etc. to try and identify human behavior in them that poses risks/endangers kids. You'll report to the Data Science Team Leader.

Responsibilities and Duties

– End-to-end research, development, and productization of machine learning and AI algorithms in the field of NLP and computer vision

– Develop algorithms designed to detect malicious human behavior, verbal abuse, and other undesirable activities.


– B.Sc. Computer Science or relevant engineering degree

-Minimum 3-year experience in the field

– The job requires hands-on experience in developing ML algorithms in the field of NLP

– A proven track record in pushing ML to production

– Candidate must have concrete experience in bringing an algorithmic system from early research and POC to production-grade

– Coding skills are a must

– People’s person & team player

Senior Data Scientist (relocation)

Agoda Services Co., Ltd


Part of Booking Holdings (BKNG), Agoda is part of largest Online Travel Agency (OTA) worldwide and the largest and fastest growing OTA in Asia

We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.

As part of the front-end and personalization team you will be exposed to real-world challenges such as: predicting customer intents in real time, ranking search results to maximize lifetime value, personalizing supplier and user generated content, classifying unstructured data such as images and text, making personalized recommendations, discovering insights from big data and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world’s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150T of memory.

Agodans come from over 70 countries: It’s an incredible technical creative melting pot of talents pin picked from all corners of the planet, and it happens from one of the most exciting and vibrant places in the world today – Bangkok Thailand.

Your voice will be heard, you career will make a leap, and you will be able to make a difference in a business that touches many millions in every hour of the day!


  • Design, code, experiment and implement models and algorithms to maximize customer engagement and business outcomes.
  • Mine a big data of hundreds of millions of customers and more than 600M daily user generated events and discover actionable insights to drive improvements and innovation.
  • Work with developers and a variety of business owners to deliver daily results with the best quality.
  • Research discover and harness new ideas that can make a difference.


The Musts

  • 3+ years hands-on data science experience.
  • Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
  • Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
  • Can lead, work independently as well as play a key role in a team.
  • Good communication and interpersonal skills for working in a multicultural work environment.

Great if you have them

  • PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
  • Experience in NLP, image processing and/or recommendation systems.
  • Hands on experience in data engineering, working with big data framework like Spark/Hadoop.

Experience in data science for e-commerce and/or OTA.

Data Scientist

Clalit Research Institute

CRI is a world-leading innovation center for data science in healthcare. Leveraging one of the world's largest and most diverse medical databases, our team provides tools and insights to change people's lives.

• Our work directly saves lives, on a national (and sometimes international) scale.
• Our top-notch team includes professor clinicians, PhD statisticians, machine and deep learning experts, and even people with both MD and CS backgrounds.
• We work with one of the world's largest medical databases, including diverse, life-long data on most of Israel's population.
• We regularly collaborate with the best – Stanford, Harvard, Columbia and many other well-known healthcare and industry leaders.

• We're a subsidiary of Clalit, located in Ramat Gan next to the Arlozorov train station

Required qualifications:

BSc or above with academic excellence in CS, statistics, physics or similar field

Programming skills in python or R (industry experience – a plus)

Ability to independently acquire in-depth expertise in new, complex mathematical topics

Ability to work both independently and in a team

Preferred qualifications:

MSc or above with academic excellence in CS, statistics, physics or similar field

2+ years of experience in applied machine learning

Experience in conducting quantitative research

Experience with deep learning, ML for causal inference, RL or NLP

Background in healthcare or life sciences

Background in statistics

At BIyond, we utilize algorithms to process massive amounts of data in order to deliver the product’s core features. We are currently expanding our team of Data Engineering and AI in order to handle the significant challenges of our customers.

We are looking for a Text Mining expert to join our team.
One that truly loves data and is eager to use it to develop AI/ML products.

What you will be dealing with:

1. Implementing complex Text Mining algorithms on data stored in a variety of unstructured formats.

2. Handle free text and text extraction.

3. Parse and extract data from large text documents with complex formats.

4. Create templates for automatic extraction of data from similar formats.


  • 3+ years of experience in Text Mining.
  • Hands-on experience developing applications using Python.
  • Autodidact and self-motivated.
  • A true team player with strong communication skills and a can-do approach.

Experience with Implementing Machine Learning algorithms using Python – a major advantage

4Girls, a social-tech initiative to promote the healthy development of teenagers is a start-up in the wellness and health domain.

We are looking for ML & NLP engineer to join our team.
If you want to help improve mental health solutions, we offer you a position in young start-up. While collaborating with top Israeli & foreign academic institutions, we offer a flexible position, where you have a say and you can work on your own projects.
What do we do? We are developing solutions to detect & diagnose mental distress, depression, suicidal. Our algorithms design for early detection of mental deterioration. All that is done via ML & DL analysis of texts from social networks.
We are looking for someone with relevant education and/or hands-on experience in NLP/ML. Someone who is willing to work with both academic researches and non-technical staff (phycologist, social workers, teenagers). Also working under the guidance of our CTO & CSO.

You may work from your home part of the week if you wish.
Beginning work: Jan. 2020

This is a unique opportunity to join Intel Technologies & IP Strategic Planning (TIP) group. The Context & Cognition Strategic Planning team is responsible for the strategy and technology planning of Intel sensing, audio, voice and speech technologies.

You will be responsible for the synthesis of signal processing research in Audio, Speech and Sensing domains with a focus on Deep learning modules.

In addition you will explore advancement in these areas, including Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU) and in particular as it relates to Deep Neural Network implementations.This involves research reports on these areas as well as bench-marking relevant technologies. It also involves running meetings with stakeholders across Intel from finance, engineering, architecture and business and with partners outside of Intel.
In your role you will focus on partnering and influencing strategic deliverables throughout the organization in order to implement new technologies within Intel IPs and SoCs.

This position requires a combination of business acumen, organization savvy, networking capabilities and expertise in these technical areas as well as with Machine Learning and Deep Neural Network. Activities include competitive analysis and market analysis.

Who are we looking for?

 MS.c student for Electrical/Computer engineering, Computer Science or similar

– Experience in sensing, audio or speech
– Experience in Machine Learning and Deep Neural Network
– Experience working in a matrix organization is a plus
– Knowledge of market trends.

Additional qualifications:
1. A self-starter with good networking ability, time management, stakeholder management and creative thinking skills.
2. Ability to interact with individuals at both technical and non-technical levels.
3. Excellent verbal, written, and presentation skills in English.
4. Curious, open-minded with the ability to see the big picture.
5. Strong personal motivation and will to succeed

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