Deep learning

Lead Data Scientist

ZipRecruiter

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.

Responsibilities:

  • 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

Qualifications:

  • 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

Description

Yandex’s mission is to revolutionize the way people and goods are moving around. With its best in class self-driving cars technology, Yandex lets people move from point A to B safely, conveniently, and most efficiently.  Our fully autonomous vehicles are built upon the blend of specialized hardware, sensors, and state of the art technologies like computer vision, advanced deep learning, sensor fusion, and human behavior prediction. All these developed in-house by our top-notch R&D teams comprised of people who face toughest technological challenges every day. If you are as enthusiastic about self-driving cars as we are and like working in an extremely agile, challenging, and rewarding environment, we shall talk.

Role

As an applied scientist, you will be responsible for the development of state-of-the-art ML/DL models for object detection, behavior prediction, and sensor fusion. You will invent and experiment daily building upon Yandex’s ML/DL and big data technologies as well as industry-leading tools and frameworks. In collaboration with our international team of scientists, engineers, and product managers, you will shape the future of autonomous vehicles.

Basic Qualifications

  • Ph.D. in Computer Science from a leading university
  • Fluent in ML/DL frameworks and methods
  • Proven record of applied research
  • Excellent writing and communication skills in English

Preferred Qualifications

  • Publications in top tier ML/CV conferences and/or journals
  • Industrial experience in  Machine Learning productization
  • Experience with Big Data technologies
  • Good coding skills in C++ and/or Python

Razor Labs is looking for a talented hands-on team leader with a strong background in Algorithmics.

Job qualifications

At least 3years of hands-on experience in Computer vision / Machine Learning / Deep Learning

Strong mathematical skills, deep understanding of linear algebra, deep learning, signal processing or image processing

Previous experience in leading teams

Proactive, can-do attitude

M.Sc. /Ph.D. in Computer Science / Electrical Engineering / Physics / Mathematic.

Data Engineer

Namogoo
We’re looking for a talented Data Engineer, with exceptional skill for solving problems and creating amazing data systems.
Our DB’s contain tens of billions of varied events, hiding the secrets for creating the perfect user experience.
We re-invent ourselves and our products on a daily basis, and we’re looking for someone who can keep pace and make our fast growth possible.
In this role, you will be responsible for the data processes, DB’s and Algorithms, and will have the opportunity to take these products to the next level.

Skills & Experience

  1. 2+ years of coding in Python
  2. Experience working with Big Data technologies and strong SQL skills
  3. B.Sc. or higher in Computer Science or elite military programming course
  4. Experience in ML technologies – advantage
  5. Creative, enthusiastic and self-motivated

Data Scientist

Linear B

Linear B is an analytics platform for software development teams. We are working with very interesting customers and help them to improve as teams and individuals by providing visibility and groundbreaking insights. We are looking to hire out lead data scientist that will be responsible for our theoretical framework, and applying them to our product and business model. This is a unique and a rare opportunity to be part of the product strategy and have a great influence on the company future.

Software Engineer Student for Mobileye Intel's Autonomous Driving group

Job Description
Looking for a Deep Learning software student for Mobileye Autonomous Driving SDK group in Haifa.
This is an exciting opportunity to work with highly talented engineers and be a part of product innovation on cutting edge technologies in Deep Learning optimization domain.
If you are excellent, bright, hands on person with passion to make a difference come to be part of the revolution!
What will you do?
As a Deep Learning software student, you will develop various tools that help to optimize Deep Learning networks. You will optimize the solutions by applying cutting edge network optimization techniques and will have the chance to influence future generations of Mobileye hardware and software stack.

Qualifications

Minimum Qualifications
Studies towards B.Sc. or M.Sc. in Computer ScienceEngineering
� With at least 2 semesters left until graduation
� Ability to work at least 20 hours a week in regular business hours
Advantage:
Background in Statistics/Machine Learning
Background in Neural Networks/Deep Learning
Experience in Python programming language is a plus

Inside this Business Group

Automated Driving Group : Zero accidents. Mobility for all. Intel is collaborating with the world's leaders in automotive design and technology to turn visionary concepts for automated driving into reality. The Automated Driving Group (ADG) is architecting transportation for a better life and a safer world. We accelerate innovation and adoption of smart, connected, transformative, market leading automated driving solutions by delivering high performance SOC’s, modules, software and reference designs.

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.

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

In this role, you will be exploring exciting research avenues in the intersection of DL and healthcare.
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 machine learning / 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 developer.
  • Strong problem-solving skills.

Bonus points for

  • 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.

Imubit is looking for a top-notch research engineer to help disrupt the manufacturing world with breakthrough deep learning algorithms!

About us:

Imubit is revolutionizing manufacturing paradigms with specialized deep learning algorithms developed by world-class machine learning scientists. At this very moment, facilities of multiple Fortune-500 customers across the world are being optimized by Imubit. The company was founded by award-winning scientists, elite IDF tech unit graduates, and serial entrepreneurs. It is backed by top Silicon Valley investors.

Our R&D center is located near Modi'in, easily accessible from a variety of locations (Gush Dan to Jerusalem).

We are looking for:

You, a top-notch research engineer, to join our core R&D team, and develop deep learning algorithms unlike anything that exists today. This is a one-of-a-kind chance to be on-board an extremely successful and fast growing startup at an early stage, get exposed to various technological and scientific disciplines, and work with world-renowned experts in machine learning. As part of our core team, you will have the opportunity to develop to executive positions.

Requirements:

  • BSc in CS/EE/Math/Physics from well-known university, with GPA > 90/100
  • Hands-on SW development experience, strong Python background
  • Education in machine learning at least at the level of advanced academic courses
  • Practical experience with deep learning on TensorFlow/PyTorch

Advantage:

  • MSc in machine learning or related area
  • Experience with deep learning on time series data (RNN/LSTM)
  • Experience with training neural networks in cloud environments (GCP/AWS) and distributed systems
  • Experience/education in signal processing

Deep learning project leader

Security Matters Limited

Security Matters is a startup company dealing with brand protection, authentication and supply chain integrity.

The goal of this  project is to assign a physical object to one (or none) of a few pre-defined classes based on some dataset obtained from a physical measurement. The employee will use deep learning for analysis and classification. We have a relatively small set of "training" objects (tens to hundreds) where the classes are known.

 The desired result is a classification method that would work with ca. 98% success probability

Qualifications

  • MSc/PhD in Computer science/ Software engineering/ Electrical engineering/ Statistics/Physics
  • At least 2 years of experience in 1D signal deep learning
  • Background in physics
  • Knowledge in statistics
  • Capability to handle complex and advanced problems, including problem definition

Freelance or part time work

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