Machine learning
Data Science Lead
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
Machine Learning Engineer
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.
Developer Relations
NVIDIA is now looking for a Developer Relations – Intelligent Video Analytics (IVA) !
What You'll Be Doing
- Develop Israel developer IVA ecosystem with cross functional team: Product, Engineering, Applied Research, Marketing, and Sales
- Lead and develop strategic relationship with key IVA startups, ISV’s, and leading industries’ developers
- Know all NVIDIA GPU / AI computing platforms from datacenter to edge and effectively articulate the value proposition to the Israel developer community
- Drive adoption of NVIDIA SDK’s into developer products
- Funnel relevant startups to participate in NVIDIA Inception program
- Provide feedback of features requests into actionable engineering and product definition
- Be alert to the competitive landscape and communicate internally
- Strategic partnership and community building by attending research conferences and hosting technical meetups
- Engage industry events to speak, gather requirements, build relationships, showcase NVIDIA technology
What We Need To See
- BS/MS/PhD in Computer Science or Engineering
- 5+ years experience in Higher Education & Research or video analytics or IoT or healthcare industry
- 5+ years’ business development/strategic alliance experience for software/hardware products
- Excellent communication and liaison skills are essential, since candidate must work across all major internal functional areas (engineering, sales, and marketing) and with external partners, customers, and content developers
- Must be comfortable at C-level, as well as individual contributor engineers/marketers
- Working knowledge of with machine learning, deep learning, artificial intelligence platforms
- Working knowledge of the deep learning ecosystem – which markets are emerging most quickly, key players, competitors, etc.
We are widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous with a real passion for technology we want to hear from you.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Data Scientist
Flipkart Israel is the center of excellence and innovation of Flipkart, the fastest growing and the biggest promise in the online retail world, owned by Walmart.
You will be part of a new Fintech team responsible for creating a new solution at the core of the company’s business targets, and which is expected to contribute significantly to Flipkart’s revenues in a short time.
In your work as a data scientist, you will research and develop a new fintech solution from scratch, using statistical and machine learning methods. The solution that you will create will contribute directly and immediately to the performance and success of Flipkart in several new key areas.
Job responsibilities
Develop machine learning and statistical models.
Collaborate with the product and engineering teams to build an alternative credit scoring product in a cloud environment.
Skills and Qualifications
B.Sc/M.Sc in Computer Science, Mathematics, Statistics or related fields from a leading institute.
At least 2 years of data science experience.
Experience with machine learning and statistical modeling.
Good scripting and programming skills in Python and/or R.
Proficiency in using SQL.
Experience with a cloud environment.
Great communication skills.
Motivated, self learner.
Team player with a "Can-do" attitude.
Senior ML Engineer
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
Data scientist
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:
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Relevant prior experience in solving analytical problems using quantitative approaches
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BSc/MSc in computer science, mathematics, engineering or statistics.
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Passion for solving real world problems
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You share our values
Machine Learning Lead
Machine Learning Lead
Voice over IP calls are kind of OK, but not great. We at Vonage aim to change that and take voice quality to the next level. We will use Data Science and Machine Learning to make real time voice and video communication as great at is should be.
Come join us at the Vonage TLV R&D center to do breakthrough machine learning work and lead our drive to the future of Voice and Video communication.
Vonage’s R&D Center is building a new machine learning and data science team and is looking for an experienced leader for it.
As a Vonage Business Could Machine Learning and Data Science lead, you and your team will develop machine learning based solution to greatly improve customer delight. You will own the solution from collecting and analyzing the data, developing the models and delivering them into the product.
You and your team will be the researchers, architects and coders of your project and take part in developing next-generation technologies that change how people communicate. We challenge our engineers to be versatile and passionate to take projects from the idea through research and development and until deployment in our production environment.
What You’re Great At:
- Research orientation: You have a strong problem solving and critical thinking mindset.
- Software development: You have a strong interest in developing new software.
- Independently driving agendas and tackling challenges: You don’t need anyone to keep you on track.
What You’re Good At:
- Self-learner: You are a self-learner and you are passionate about learning and applying new technologies.
- Collaboration: You’re comfortable working with others, both inside and outside of your team.
What you Must Have Experience In:
- Experience in machine learning or data science research.
- Hands-on experience in writing code in at least one programming language.
- M.Sc. in Computer Science or a related field (Ph.D. highly desirable)
Qualities about You That Might Make our Decision Easier:
- Experience in leading data science / ML teams
- Experience in Python, Tensorflow, Scikit-learn – big advantage.
- A great recommendation from a previous employer.
- Experience in developing cloud based application.
- Experience in deep learning, time series analysis or signal processing.
Deep Learning Algorithm Researcher
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
Computer vision leader
Agromind is an Ag-tech startup, disrupting the way pests, diseases and nutrients deficiencies are being detected, analyzed and treated using advanced AI methodologies.
We are looking for a strong candidate who can join us and lead our technology.
Requirements:
The successful candidate must have:
* strong coding skills
* experience in Deep Learning and computer Vision.
* Great people skills
* Hands-on capabilities and mind set.
Research Scientist
Core Data Science is a research and development team, working to improve Facebook’s products, infrastructure, and processes. We generate real-world impact through a combination of scientific rigor and methodological innovation. We are an interdisciplinary team, with expertise in computer science, statistics, machine learning, economics, political science, operations research, and sociology, among many other fields. This diversity of perspectives enriches our research and expands the scope and scale of projects we can address.
We are looking for researchers and data scientists to join the team in Tel Aviv. We work closely with various product groups throughout Facebook, bringing expertise in modeling, machine learning, statistics, statistical computing, data analysis, algorithms, and social network analysis. By applying your knowledge of such topics you will be empowered to drive impact across all manner of strategic decisions, product, infrastructure and operational use cases at Facebook.
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Build pragmatic, scalable, and statistically rigorous solutions to mission critical inferential and decision problems by leveraging or developing state of the art statistical and machine learning methodologies on top of Facebook's unparalleled data infrastructure.
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Apply excellent communication skills in order to develop cross-functional partnerships throughout the company and spread scientific best practices.
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Be able to work both independently and collaboratively with other scientists, engineers, designers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value to Facebook's community of over 2 billion users.
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Think creatively, proactively, and futuristically to identify new opportunities within Facebook's long term roadmap for data-scientific contributions.
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Ph.D. degree in computer science, statistics, economics, sociology and related fields or MS degree with 4+ years of relevant experience.
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Experience in machine learning, statistical analysis or social network analysis.
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Experience with data analysis using tools such as R or Python, with packages such as NumPy, SciPy, pandas, scikit-learn, tidyverse (dplyr, ggplot2, etc.).
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Ability to initiate and drive research projects to completion with minimal guidance.
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The ability to communicate scientific work in a clear and effective manner.
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Experience in lower level languages such as C++, Java.
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Experience in scalable dataset assembly / data wrangling, such as Presto, Hive or Spark.
