Startup

Who we are?

BrainQ, a well-funded start-up located in Jerusalem, develops a therapeutic medical device to help paralyzed patients following neuro-disorders, like spinal cord injury or stroke, ‘back on their feet’ using Data Science tools.

The technology is now being tested in clinical trials across the globe, with promising results. We were selected by Google as 1 of 4 companies expected to transform healthcare using AI, and recently named by Calcalist & Microsoft Israel as Israel’s 2nd most promising startup in the field of AI & Big data.

What are we looking for?

Data Science Lead

As a team lead, you'll be responsible for managing the research and development of the company's core technology

Full time position in the High-Tech Village, Givat-Ram, Jerusalem.

MSc/PhD in a related field (math/CS/physics/EE)

4+ years of hands-on experience with data analysis / signal processing / machine learning

2+ years experience as a team leader

Python and Linux knowledge

EEG / neuroscience experience – advantage

Biology background – advantage

Data Engineer

Minute Media

MinuteMedia is looking for an experienced Data Engineer to join our data passionate BI and performance team.

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Responsibilities

Manage Minute Media data warehouse and analytics products

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Own, design and build existing and new data ETL processes and integrations

Data infrastructure service level and optimization

Work with stakeholders including the Executive, Product, Data and Commercial teams to assist with data-related technical issues and support their data infrastructure needs

Requirements​

3+ years of experience as a Data/ BI engineer/ developer

Experience with complex SQL and Google Analytics

Experience managing DWH and/or building complex ETL processes

Good statistical skills

Passion for data and ability to transform numbers to story

Fluent in English and good communication skills

Ability to learn fast and be multitasking

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.

We've developed an engine that can literally discern a good song from a brilliant one for specific needs defined by a benchmark of reference songs. Our engine conducts granular analysis of lyrics, harmony, melody and song structure (using DSP, NLP and other 3 letter combinations) and runs them through supervised ML models predicting the likelihood of relevance of songs to any musical benchmark.

World famous record labels and artist managers have on boarded MyPart. We're searching for songs for over 70 top-tier performing artists such as Aersomith, Bruno Mars, Dua Lipa , Kelly Clarkson, Why don’t we, etc. Our platform is in POCs with major music companies, integrating their catalogs with MyPart's platform.

We're looking for a Senior ML Engineer:

Role:

– Join the journey of applying ML to linguistic and compositional analysis to get songs out of drawers and into the hands of famous performing artists!

Character:

– Highly experienced software developer who's really a tormented artist

– A team-player who’s fun and interesting to hang out with

– Independent & purpose-driven, with end-to-end task completion mentality

– Belief in our mission to help songwriters live up to their potential

– Technology, music and art enthusiast

– CS or Electrical Engineering degree or equivalent industry experience

Skillset:

– 3+ years of experience in ML powered projects

– Significant experience with Scikit Learn / Tensorflow

– Deep understanding of DSP concepts, best practices and software packages

– Proficiency in Java, Python, C/C++

– 3+ years of algorithmic R&D experience

– Solid grasp of statistics, probability theory, data modeling and ML algorithms

Big Plus:

– Expertise in classification models and NLP in general

– Music theory (Harmony, Counterpoint)

– Cloud-based infrastructures know-how (AWS, GCP)

– Linux and open source enthusiasm

We are seeking a sharp algorithm developer with a solid understanding in machine learning, deep learning and statistics. This is a magnificent chance to join a leading technological company from an early stage and make an impact.

Ideal candidates will have:

  • Relevant prior experience in solving analytical problems using quantitative approaches

  • BSc/MSc in computer science, mathematics, engineering or statistics.

  • Passion for solving real world problems

  • You share our values

Hello,

I am Tal, Vitalacy's CTO, a company based in LA with Israeli co-founders / engineers is looking for a computer vision / deep learning engineer to build a solution for object / patient detection in medical facilities.

We are installed in 5 major hospital in Southern California and NY and are looking to expand our set of technology products.

We are looking for talented, results driven engineers that want to contribute to an important task (we call it a mission).

We are looking for Israeli engineers (because they are the best), the work is remote and we will be able to evaluate results in real hospitals.

AI Developer

NFT inc.

AI Developer – Autonomous VTOL
NFT is creating a future where people spend less time in traffic and more time with their loved ones. We are developing autonomous VTOL (vertical takeoff and landing) vehicle for future transportation. If you want to work with cutting edge technologies and expert in future mobility, we are the right place.

Our team’s mission statement:
The Autonomous capability team is responsible for bringing Artificial Intelligence to ASKA VTOL.
We perform unique research, Design and implement edge AI technologies that bring our product to life.

What will you do?
Make an impact and leave your mark on future urban mobility.
Use your superb analytical skills and curiosity and apply cutting edge artificial intelligence techniques for implementing autonomous capability for ASKA.
What will you need?
BSc in Mathematics, Physics, Computer Science, Electrical Engineering, etc.
Three years of experience using c++.
Algorithm development in one of the fields (advantage all ) of perception, Localization, Planning, control for UGV/UAV
Hands on experience with sensors (LiDAR, RADAR, VISION, etc.).
Linux internals

JOMI.CO, is a Swiss Israeli startup using a lot of AI / ML and…
The founders would like to enlarge the founders team with an Israeli CTO.
You will build and lead a developers team in Israel (an abroad, if necessary) and be part of the decision makers at JOMI.

What is JOMI? JOMI is looking to revolutionize how companies leverage empirical data to understand the dynamics of a business critical team, identify the gaps needed to fulfill business objectives, and recruit accordingly. With years of research in Psychological Motivational Theory, we’ve built an AI platform that with high confidence can measure individual team members and build the necessary model for its recruiting engine to optimize job descriptions through a psychometric lens, match applying candidates to reduce workload on recruiting teams, and achieve the ideal team composition. This in return reduces the negative impact of unconscious bias while promoting diversity and inclusion.

Deep Learning Algorithm Researcher

Zebra Medical Vision

Zebra medical vision is a leader in modern computer vision and deep learning practices.

The Algorithms team is in charge of creating cutting edge algorithmic products which detect and diagnose a wide variety of medical conditions from medical images.

These solutions help make medical diagnosis faster, more accurate and more accessible to millions of patients around the world.

As a researcher on the team, you will get a chance to work alongside some of the best minds in the field and implement the latest Deep learning and computer vision algorithms, in a multidisciplinary and dynamic environment.

Responsibilities:

  • Research, design and develop deep learning and computer vision algorithms to detect a wide variety of medical conditions from image and textual data.
  • Work with a multi-disciplinary team of medical doctors, engineers, and designers to deliver an end-to-end product: from the idea phase, through collecting and assessing the data, exploring algorithmic approaches, developing, testing, validating and integrating the algorithm in the production environment.
  • Read and implement algorithms publications in the field of deep learning and computer vision, as well as publish your own work, and contribute to the community via conferences/meetups etc.
  • Participate in long term research efforts, and build excellence in the field of deep learning for imaging data
  • Contribute to the team’s methodologies, best practices and toolset, share your work and give/receive feedback from peers in the team

Requirements:

  • MSC. in computer science, preferably in the field of machine learning/computer vision
  • 3+ years of hands on development of complex machine learning models using modern frameworks and tools (ideally python based)
  • 1+ year of hands on experience with Deep learning using common open source frameworks and tools (Keras, TensorFlow, Theano, Caffe etc.)
  • Strong communication and collaboration skills
  • Team player, positive and driven, fast learner

We believe that for Financial Institutions, personalization is key to increased customer satisfaction and loyalty as well as to improved business results. ​

Recognizing the complexities of financial products, Earnix provides an end-to-end Pricing and Product Personalization Software Suite, driven by world-class data science, analytical modeling tools, and integrated machine learning.

The Earnix 3D Personalization Suite empowers Financial Institutions to offer the RIGHT PRODUCT, at the RIGHT PRICE, at the RIGHT TIME, while maximizing business KPIs, ensuring governance & compliance, and improving the enterprise-wide end-to-end product personalization and pricing process.

Earnix has been consistently innovating for Banks and Insurers around the globe for over 18 years. We have offices in the Americas, Europe, Asia Pacific, and Israel.

Job Description:

We are looking for a Machine Learning Research Scientist who will be responsible for exploring, testing and adopting novel Machine Learning methods to enhance Earnix’s products

Requirements:

  • MSc in Computer Science/Statistics/Engineering or any related field with focus on applied statistics, machine learning, deep learning
  • At least 2 years’ practical experience as a researcher, preferable business experience in applying these concepts to business related problems
  • Expertise in machine learning/statistical/data-analysis algorithms: GLM, decision trees, GBM, clustering
  • Proficiency in R/Python
  • Programming experience in Java

Advantages:

  • Experience in NLP
  • Experience in deep learning
  • Prior experience in the FinTech industry
  • Programming experience in Java

Additional skills:

  • Fast learner & self-motivated
  • Strong analytical capabilities
  • Out of the box thinking
  • Sufficient mathematical background for reading applied statistical/data-analysis papers
  • English proficiency – both verbal & written
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