Deep learning

Algorithm Engineer (Medical Device)

Medasense Biometrics Ltd.

The Algorithm Engineer will fulfill a significant role in the R&D group that steers the technological road map of the company. The candidate should have a strong mathematical background, analytic and algorithmic approach, experienced in developing and implementing machine learning based algorithms preferably for real time applications. System understanding and product-oriented approach is required.

  • R&D in the field of signal processing and machine learning algorithms supporting Medasense core technologies
  • The candidate will fulfill a significant role in the R&D group that steers the technological road map of the company.
  • Feasibility studies of sate of the art machine learning approaches for use in company projects
  • Data analysis – prepare and analyze historical data and identify patterns
  • Own and manage knowledge sharing within a community

Report to: SW engineering director


  • B.Sc/M.Sc. Degree in Exact Science (Physics/Computer Sciences/Mathematics) or Electrical/Computer/Biomedical Engineering.
  • At least 2 years of algorithms development proven experience in the field of machine learning and signal processing.
  • Strong programming capabilities (Matlab/C/C++/Python)
  • Experience in medical devices and physiological signal processing- advantage
  • Experienced in developing and implementing machine learning based algorithms preferably for real time signal processing applications
  • Strong mathematical background, analytic and algorithmic approach
  • Resourceful, independent, motivated, team player and thorough- impulsive mission completer, strives for excellence

Senior Data Scientist at (relocation)

Agoda Services Co., Ltd

Working Location: Bangkok, Thailand

Full visa sponsorship and relocation assistance available for eligible candidates.

About Agoda

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 Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, 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 150TB of memory.

 In This Role, You’ll Get to

  • Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
  • Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, 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

What You’ll Need to Succeed

  • 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.

It’s Great if You Have

  • 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

ML engineer

Starkey Hearing

Starkey Hearing Technologies is a medical devices company with more than 6,000 employees and operations in more than 100 countries worldwide. Starkey is looking to hire great talent to join our Advanced Development center in Tel-Aviv that will focus on redefining medical wearable devices with advanced sensors and artificial intelligence technologies.


The Machine Learning Engineer primary objective is to lead, participate in, and support development and integration to introduce new innovative capabilities and technologies to Starkey’s products and services. The Machine Learning Engineer will take on major initiatives that clearly impact Starkey’s business and collaborate with multiple groups as well as external companies and academia.

The Machine Learning Engineer must be a strong, hands-on, engineer who loves technology and enjoy working in a high-pace dynamic environment. She/He must possess high-level technical expertise, creativity and internal drive, and is capable of working on loosely-defined tasks.

Job Requirements


B.S + 4 years in Computer Science, Electrical Engineering or related fields, or M.S. + 2 years, or PhD years


At least 2 years of algorithms development and practical experience in the field of Machine Learning and Signal Processing development

Understanding of machine learning and deep learning models and data analysis.

Experience with Python is required

Experience in C/C++

Experience with TensorFlow / Pytorch frameworks

Knowledge in building and implementing algorithms for real-time applications.

Knowledge and experience in the following is a strong plus:

Experience with Big Data technologies – Hadoop / Firestore / BigQuery

Knowledge of audio signal processing

Experience in MATLAB.

Knowledge of embedded firmware development process

Knowledge of architecture of programming devices such as DSPs and Micro-controllers.

Keeping up with latest research and top industry standards and the ability to learn quickly new technics and tools is essential for this position


Playform is a revolutionary Sports Tech startup, disrupting the way youth soccer players are being measured and trained to improve their playing skills and maximize their potential. We develop a unique mobile-based technology that measures the players while they carry out a series of tests and training sessions, suggests real-time feedback, and produces stats and performance insights, based on deep learning and computer vision technologies.

Job Brief

We are looking for a highly motivated computer vision algorithms engineer who is not afraid of big challenges, who is self-driven and motivated to join us and be part of an exciting process of establishing Playform as the standard technology being used to train youth athletes. We are in the process of building our R&D core team and as such looking for an experienced yet hungry computer vision algorithms engineer. Both hands-on and macro-level perspectives are required, combined with top-notch communication skills and a passion to deliver an amazing product experience.

Like any professional sports team, seeking to win, we are looking for super talented players to join us and get on the field. If you like Sports, Deep-Tech, and delivering products to mass production, you should explore this opportunity.

The algorithms engineer will report to our CTO. The position is located in Rehovot Science Park.

Job Responsibilities

  • Design and develop state-of-the-art computer vision algorithms
  • Understand the task and resources and research for an optimal solution
  • Collaborate with cross-functional team members to define, design, explain and implement new features and abilities
  • Evaluate your results and improve your solution based on the team and product requirements
  • Drive continuous improvement of the development methods and infrastructure
  • Continuously discover, evaluate, and implement new technologies


Job Requirements

  • BS/MS degree in Computer Science, Engineering, or a related subject
  • At least 3 years of industry hands-on computer vision experience (image/video processing, detection, tracking, SLAM, etc.)
  • At least 2 years of industry hands-on experience in R&D of deep neural networks solutions for images/videos.
  • Experience with deep neural networks for edge devices – Advantage
  • Experience with cloud computing environments (e.g. Google Cloud, AWS, Azure) and relevant execution frameworks (Docker, Kubernetes, etc.)
  • Strong practical experience in Python
  • Ability to work in a dynamic, fast-paced environment
  • Experience working in an Agile/Scrum development process
  • Independent, hardworking, fast learner, focused and organized
  • Excellent communication skills in Hebrew and English – both written and verbal

Company Description
Do you care about impact on people?
Do you want to publish your work in top tier-1 conferences?
Bosch Center for Artificial Intelligence in Israel is a unique place that researches and implements cutting edge technologies for Manufacturing, Automotive, Robotics, and Industrial Applications. We are looking for Computer Vision experts for various projects. If such topics interest you, then Bosch Israel is looking forward to your application!

Example Projects:

  • Rider Assistance for Motorbike
  • Developing vision systems for robotics bin picking


  • Excellent PhD or MsC in Computer Vision
  • Strong academic records and numerous tier-1 publications.
  • Strong in Python and Deep Learning frameworks.
  • Self-confident and responsible team player with excellent communication skills across all hierarchy levels
  • Initiative, highly motivated and motivating character for the team and partners.
  • Ability and willingness to define a research agenda to solve real-world problems. 
  • Like to work in an interdisciplinary as well as international team.

Job Description

  • Create something new: As a leading research scientist, you define a research agenda for an AI research field and conduct excellent research on real-world projects. The results should be published at the leading AI venues (NeurIPS, ICML, ICLR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, etc.) and transferred for implementation in Bosch products.
  • Take responsibility: You are responsible for your research field and represent it internally and externally. In addition, you are of Entrepreneurial character and can push projects forward.
  • Integrated implementation: Take responsibility for providing strategic and technical competence in a Computer Vision. High proficiency in Python, Deep Learning frameworks, and CV methods in general.

It was just a short while ago…
We were just three, who decided to gang up and go on a journey.

Slowly but surely, we made steady progress:
1. We released our first MVP
2. We achieved our first customer pilot
3. We became funded

Then came 3 more founding family members!
We're now 6!
But the challenges are huge and the pace is high.
So we are growing!

About us in a nutshell:
1. We're an early stage InsurTech startup, employing Computer Vision
2. We are located in Herzliya Pituach right across the train station
3. We are rather stealthy so please reach out for more information

About the position:
1. As one of the first algorithm engineers in the team, you will have tremendous impact on our product, be part of a multidisciplinary and dynamic environment
2. From research to deployment, you will develop bleeding edge CV/ML/DL based algorithms

1. M.Sc. in CS/EE/Math/Physics
2. Five+ years experience in Computer Vision and Deep Learning
3. Execution oriented, with a strong passion to see things work
4. Strong communication and collaboration skills, positive and self-driven

Deep Learning Algorithm Researcher

Medtronic/Mazor Robotics

We at Mazor Advance Technologies Group are looking for a talented, dynamic, self-motivated and auto-didact Data Scientist to join our software & algorithm group.

A Day in the Life

As an AI scientist in Mazor Advance Technology group you will play a major role in developing the next generation Robotic Surgery platfom using latest technologies, working in a very multi-disciplinary environment which offers endless learning and growth opportunities.

You will take ownership on various deep learning/AI algorithms utilizing medical imaging data & medical textual data through exploration, development, optimization, validation & integration.

You will develop state of the art algorithms. You will review literature & public domain algorithms to identify best performance and relevant algorithms and implement those as well as implementing & publishing your own ideas.

You will contribute to company’s knowledge base, toolset, infrastructure, methodologies & best practice for building high performance team which strive for excellence.  

Must Haves
  • M.Sc. or PHD in computer science, preferably in the field of deep learning and/or computer vision.
  • 3+ years hands-on experience developing machine & deep learning models using latest frameworks (TensorFlow, PyTorch, etc.).
  • 3+ years hands-on experience with Python and MATLAB.
  •  Team player with excellent written and verbal communication skills as well as interpersonal skills.
  • Track record of excellence and drive for results & problem solving
Nice to Haves
  • Background in Medical Imaging and/or medical device companies – very strong advantage
  • Computer vision experience – very strong advantage
  • Experience as SW engineering – strong advantage

People’s relationship with food is complicated and we’ve built a platform that simplifies it. Creators of the FoodPrint™, Nutrino uncovers the invisible connections between people and food to empower better nutritional decisions for better health outcomes. Whether it’s finding the foods that love you back, or finding the foods that balance your blood glucose, Nutrino (acquired by Medtronic), is revolutionizing the world of diabetes management.

Passionate, curious and inquisitive about Data and eager to lead a team of professionals?

We are currently seeking a Data Scientist Lead for our team.

What does the job require?

· Ph.D./M.Sc. in math, physics, engineering, computer science or an equivalent science degree

· 4+ years of experience in data scientist / algorithm development positions

· Proficiency in Machine Learning, Deep Learning, NLP, Image Recognition, Statistical Models, Control Algorithms. Must have exceptional skills in at least one of them

· Experience in leading a complex data science problem from ideation to production (or complex and vast academic works)

· Ability to professionally direct a highly skilled team of data scientists, manage the Data Science roadmap and lead research for future products

· Strong interpersonal skills and ability to successfully collaborate with talented and opinionated peers (Product, Dev, Quality, etc.) as part of the Nutrino’s team leaders’ group


· Track record of leading high performing data science teams

· Hands on experience in working on a medical/biological related project

· Experience with time-series problems

· Strong technical and programming skills, specifically working with big data technologies (ideally Spark)

· Proven experience turning research models into production-grade models

What’s unique about us?

* We have a start-up vibe with a corporate backing

* Our office spaces are in the heart of Tel Aviv

* We have an innovative, hand-selected team of professionals

* We are defining the field of personalized nutrition technology and Diabetes

Sparks AB is looking for a Senior NLP Data Scientist!

We're a well-funded company in the predictive analytics field working with top leading financial institutions.

We specialize in predicting global events around the world prior to their happening, using Artificial Intelligence and statistical models along with internal tools.

The Data Science team at Sparks AB combines cutting edge machine learning, Deep learning and NLP techniques with the company’s unique data assets to build accurate and reliable economical predictions.

We are seeking an experienced AI Engineer to join our team and solve challenging technical problems of extracting insights from texts.

You will work with colleagues in engineering and product to devise and deploy natural language processing algorithms for various purposes.


  • Joining a team of first-class data scientists in designing, building and maintaining ML and DL based solutions.
  • Working with colleagues from various disciplines – R&D, Analysts, Product etc.
  • Working daily with some of the hottest trends in today’s job market: machine/deep learning, big data analytics and cloud computing.


  • At least 4 years of professional experience in AI development and research.
  • Passion for AI and specifically deep learning.
  • Experience with Neural networks, Deep learning and NLP tools such as Spacy, Theano, TensorFlow, Keras.
  • Strong machine learning background and familiar with latest statistical modeling techniques applied to text, including wordsentence embeddings, LSTMs, RNNs.
  • Experience implementing of machine learning models in common ML frameworks.
  • Fluency with data analysis and programming in Python.
  • Experience deploying training and evaluation tasks to cloud computing infrastructures (AWS, Azure, etc.) – an advantage.
  • Curiosity to try out new ideas and tenacity to solve challenging problems.
  • Comfortable working with real-world data that is oftentimes noisy, incomplete, or inconsistent.
  • MS.c from a top University- a must, PhD- an advantage.

Senior Data Scientist

We’re a leading performance marketing company owning and constantly developing our proprietary Ad Tech platform. We are always on the lookout for passionate and innovative individuals who are looking to help drive the best results.

We are looking for a senior data scientist to develop machine learning algorithmic solutions that improve outcomes for our internet ad campaigns.

Your responsibilities are:

• Understanding business goals of the company, campaigns, our advertisers and exploring solutions to achieve them

• Create, build and implement state-of-the-art machine learning models to maximize conversion and optimize performance.

• Analyze and engineer large and varied amounts of data.

• Work on machine learning projects from start to finish: data exploration, feature engineering/definition, model building, performance evaluation and help in implementation.

• Implement advanced analytical methods (machine learning, statistical/mathematical modeling) on large amounts of data – work with all areas of modeling workflow and clearly present and communicate the findings.

• Collaborate with cross-functional stakeholders to understand their business needs and have the ability to formulate those needs and complete and present end-to-end analysis.

What we are looking for:

• BSc or equivalent experience in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, etc.).

• Minimum 3 years of relevant hands-on experience as a Data Scientist / Machine Learning professional.

• Experience in machine learning and predictive modeling, statistical tools, applied mathematics, analyzing data.

• Experience with Python and SQL programming language.

• Quick learner, independent, methodical, and detail-oriented.

• Team player, positive attitude, collaborative, good communication skills.

• Flexible, capable of making decisions in an ambiguous and changing environment.

• High level of verbal and written English.

Nice to have, but certainly not necessary:

• M.Sc or Ph.D. in Math, Statistics, Computer Science, Physics, or an equivalent field.

• Strong experience in building and deploying ML algorithms in a production environment.

• Experience in the from AdTech, MarTech or online marketplaces

• Experience with one or more deep learning frameworks

What we offer:

• Competitive salary and great work/life balance.

• Option of working fully remote due to COVID in the foreseeable future.

• Potential of building and leading a team of data scientists

• Stay on top of applicative research in the field, visit conferences (online and on-site when they are back) and publish research

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