Machine learning

About Nanit:

The team behind Nanit are experts in those first precious moments of your baby’s life. The company provides products and services that help parents stay informed on their baby’s health, safety and well-being through smarter and better use of technology. In 2016, the Nanit baby monitor revolutionized the industry with computer vision and machine learning capabilities that helped parents help their babies sleep better. Now, the company has become the leader in the connected nursery space, with an incredible customer base of highly-engaged new parents who look to Nanit as a source of information and expertise on their parenting journey.

What You’ll Do:

As a Tech Lead and an expert in computer vision and deep learning you will work as a part of a cutting edge algorithms team. You will be responsible for solving complex problems in the video analysis world that make an impact on the life of young parents. Accelerating and improving neural networks to support large scale at low cost. You will contribute to the team’s methodologies, best practices and toolset. You will Apply your scientific knowledge to analyze and collect data, identify problems, devise solutions and construct methodologies.

If this sounds like you, you probably have:

  • At least 5 years of experience in algorithms development
  • At least 4 years of experience in deep learning development for computer vision.
  • Excellent programming skills in Python
  • Great problem-solving skills, and drive for innovation
  • Experience and theoretic understanding of other deep learning architectures
  • Experience with classic computer vision tasks
  • Experienced in the following libraries: TensorFlow or PyTorch and OpenCV

Advantage:  

  • Experience working in a cloud environment.
  • Hands on experience with embedded systems
  • M.Sc. in Computer Science / Electronic Engineering / Math – a big advantage
  • Ph.D. – Advantage

Why Nanit?

  • Nanit products can actually change lives. We’re an integral part of the lives of new parents, making an exciting but stressful time a little more manageable.
  • We are international and believe our diversity makes our culture, products and brand even better.
  • We invest in our people. We consider each employee a long-term investment and we see value in continuously helping them to advance in their lives and careers
  • Nanit is a fun, collaborative group of hard workers! We believe in an appropriate work-life balance, and offer a flexible, open environment.
  • We are at the forefront of innovation, creating products and services that have never been seen before.

We are proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class.

The IBM Language and Retrieval research team is looking for  an enthusiastic AI researcher who majored in Deep Learning NLP to help us craft the future of IBM products and services, and push the boundaries on the state-of-the-art in language understanding, information retrieval and language generation.

Working as part of our team means you can bring your ideas to life through the full cycle of defining the research challenge, working with real data, performing the research, and innovating to solve and implement it. You will publish your research in top conferences, deliver it, and watch it come to life in the field.
If you love to create innovative algorithms, are passionate about applying technology to real-life problems, think out-of-the-box, and are interested in joining a group of top researchers solving challenging problems – your place is with us!

Job responsibilities

  • Conducting research in the area of language and information retrieval, advancing the state of the art, and publishing in top AI conferences
  • Initiating and leading new strategic research directions through a full lifecycle of inception, validation, experiments and implementation.
  • Efficiently implementing algorithms, defining data sets and benchmarks and running experiments on real data
  • Constantly reviewing relevant literature to identify emerging methods or technologies and current best practices
  • Following the market, products and understanding customer needs, to find innovative solutions to real customer problems.
  • Developing algorithms as software components and supporting their integration into IBM products

Why join us now?

Be a part of a large group of researchers, grow your research skills and keep in touch with the academic world. In parallel, gain practical experience in developing tools which will influence the next generation of IBM's products.

Requirements:

  • PhD or MSc in computer science or related fields 
  • Excellent academic record in the fields of Natural Language Processing and Deep Learning.
  • Solid background in machine learning methods as well as strong familiarity with NLP concepts such as Sequence-to-sequence (encoder-decoder networks, transformer, VAE and GANs), Language Modelling, and familiarity with tasks such as Machine Translation, Summarization or text classification.
  • Hands on experience in writing code in Java and Python
  • Innovative thinking, creativity, and self-learning

Extra points for:

  • Excellent academic publications
  • Hands on experience in machine learning platforms (e.g.TensorFlow, PyTorch, scikit-learn)
  • Excellent programming and engineering skills

We look for highly talented, creative and passionate individuals to join us. Growings is well funded startup which develop a large automatic Unmanned Aircraft System (UAS), which utilizes the most advanced avionics and aerodynamics technologies specifically optimized for use in the agriculture market, aiming for precision agriculture solutions in crop-treatment, and resolving the safety and environmental issues of current aerial application solutions.

Within your role you will be responsible to develop one of the most important system of the UAV platform that responsible for the autonomous functionality

Main Responsibilities

  • Own complete feature cycle – from research through solution design to implementation.
  • Design and implement classical and ML/DL algorithms to deliver advanced computer vision solutions.
  • Develop proof-of-concepts demonstrating technical plausibility towards a viable product.
  • Work closely with the engineering team to enhance and add new modules to the algorithm.
  • Lead and be part of an Agile scrum team, lead functional design reviews, testing and coding of automatic procedures.

EDUCATION & EXPERIENCE REQUIREMENTS

  • BSC / MSC in related field (mainly CS,EE) from leading academic institute
  • 3+ years programming experience in Python / C++.
  • Practical experience in Deep Learning with PyTorch of similar.
  • Experienced in classical computer vision.
  • Linux proficiency
  • Experienced in developing real-time software algorithm – an advantage
  • Familiarity with 3D Geometry, Stereo and depth sensing – an advantage

REQUIRED COMPETENCIES – KNOWLEDGE, SKILLS, ABILITIES

  • Innovator and independent in leading tasks
  • Excellent communication skills
  • Good technical document writing skills
  • Team player, who can perform a wide range of tasks as part of an effort to design, implement, and integrate a large-scale system
  • Fast learner and looking to be exposed to, and work with new technologies
  • Good English communication skills

At Alexa Shopping, we strive to enable shopping in everyday life.

We allow customers to instantly order whatever they need, by simply interacting with their Smart Devices such as Amazon Show, Spot, Echo or Dot. Our Services allow you to shop, no matter where you are or what you are doing, you can go from 'I want that' to 'that's on the way' in a matter of seconds. We are seeking the industry's best to help us create new ways to interact, search and shop. Join us, and you'll be taking part in changing the future of everyday life.

Alexa Shopping is looking for an experienced Data Scientist to be a part of a team solving complex natural language processing problems and customer demand insights (including segmentation analysis and personas building using big data, ML and potentially AI). This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build simulations and experimentation systems at scale, build optimization algorithms and leverage cutting-edge technologies across Amazon. This is an opportunity to think big about how to solve a challenging problem for the customers and understand their requirements for products.

The ideal candidate will have extensive experience in Science work, business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities in sourcing processes. Excellent business and communication skills are a must to develop and define key business questions and to build data sets that answer those questions. You should have a demonstrated ability to think strategically and analytically about business, product, and technical challenges. Further, you must have the ability to build and communicate compelling value propositions, and work across the organization to achieve consensus. This role requires a strong passion for customers, a high level of comfort navigating ambiguity, and a keen sense of ownership and drive to deliver results.

At Alexa Shopping, we strive to enable shopping in everyday life.

We allow customers to instantly order whatever they need, by simply interacting with their Smart Devices such as Echo or Fire TV. Our Services allow you to shop, no matter where you are or what you are doing, you can go from 'I want that' to 'that's on the way' in a matter of seconds. We are seeking the industry's best to help us create new ways to interact, search and shop. Join us, and you'll be taking part in changing the future of everyday life.

The Alexa Shopping group is seeking talented and experienced Machine Learning engineers to design and develop Natural User Interface (NUI) shopping experiences and algorithms.

You'll have the freedom (and encouragement) to experiment, improve, invent, and innovate on behalf of our customers. You will have an impact on Amazon's new devices and the way shopping is done in the area of IoT. And finally, you will have the satisfaction of being able to look back and say you were a key contributor to something special from its earliest stages.

Data Analyst

NSO Group

Description & Responsibilities

NSO is looking for a brilliant Data Analyst to join our Data Science team. We are looking for people who are passionate about creating knowledge out of a huge amount of data, like to understand the connections in the data and to explore, analyze and lead the solutions they envision.

This role offers the chance to make a significant contribution to the development of a brand-new solution, using cutting-edge technologies and dealing with a variety of fascinating challenges.

You will work closely with our data scientists and the development teams to help build and optimize scripts that find connection between entities, help validating and tuning ML models and solve data irregularities. In addition, you will work closely with our product managers as well as our customer services team to ensure business success. As a part of the role you will also create, support and maintain automatic reports generation processes and dashboards.

Required Experience/ Qualifications

  • Experienced Data Analyst – at least 3 years of experience in a data analysis role
  • Experience with data manipulations and visualization using Python and Pandas is a must
  • Strong SQL skills
  • BS in Statistics / Mathematics / Computer Science / Engineering or equivalent
  • Strong analytic skills and business understanding
  • Exceptional ability to understand data and to transform it into insights
  • Ability to translate analysis results into business recommendations
  • Excellent problem-solving
  • Excellent ability to communicate complex findings and ideas

Preferred/Nice to Have 

  • Experience working with PySpark and Elasticsearch
  • Working in production environment

We are looking for outstanding researchers in all levels in the field of computer vison and machine learning, preferably with strong background in deep learning.

You will join a team of researchers working on state-of-the-art solutions in few-shot learning, reinforcement learning, deep fake detection, image retrieval in large scale, multimodal modal learning and more.  We do open research and aim to publish our work in top AI conferences. We also have open Internship/student positions. Associating your research at OriginAI with MSc/PhD studies is an option.

Basic Qualifications

  • MSc or PhD in either computer vision, machine learning, or a related field
  • Knowledge of and experience with deep learning
  • Publication/s at top-tier peer-reviewed conference or journal are an advantage

Who are we?

OriginAI is a unique multi-disciplinary Innovation Center aiming to resolve the most complicated technological AI challenges. Our research center encapsulates Vision, Speech/Audio and NLP groups seeking to advance current AI exploiting all modalities.

We are located at Ramat-Gan near the Savidor train station. Working from Haifa can be considered.

Data Scientist

Voyantis

About Us
Voyantis offers growth and marketing teams to activate their data lake into becoming a growth-driving product, engineering free. Top global brands who already use Voyantis show double ROI uplift, acquiring and retaining the most valuable users, at scale.

Voyantis turns ‘rocket science’ tech into an off the shelf, engineering free product that any growth leader can easily onboard.

About the job
We are looking for the next Data Scientist to join our growing team, someone who thrives working in a dynamic and fast-moving Startup!
Our customers come from a wide range of industries, populating our datasets with extraordinary amounts of rich data. Your mission will be end-to-end, from understanding the structure and relationships in the data, through exploratory data analysis and feature engineering, to training machine learning models, deploying to production and monitoring their performance.
The ideal candidate has excellent hands-on experience and can pinpoint problems and solve them independently and professionally.

Requirements
● B.Sc. in Computer Science/Physics/Mathematics
● 3+ years of data science experience
● Excellent coding skills and strong knowledge of Python
● Data-oriented thinker
● Ability to work independently on large projects and get things done
● Experience working with marketing data – big advantage
● Being fun to work with is a massive advantage 🙂

About Enzymit

Enzymit is a cutting-edge computational protein design company developing a novel platform for enzyme design.

Traditional chemical production is expensive and environmentally destructive.

Living organisms have been producing many types of substances with close to zero pollution and with incredible efficiency.

Through the use of sophisticated computational tools, we are harnessing life’s molecular machines to transform traditional chemical production

Our enzymes enable the production of materials that were considered unattainable by traditional chemistry.

Our technology combines computational biophysical models with statistical and machine learning approaches enabling us to design novel enzymes. We build and deploy these computational modules using a scalable cloud computing infrastructure and complement their predictions with results from our proprietary high-throughput experimental screening platform. We utilize advanced computing architectures based on high-performance GPUs and investigate novel methodologies in biophysical modeling and deep neural networks.

We are a seed-stage company and have raised its seed round of USD $5M led by top-tier investors.

We’re looking for a Computational structural biologist to join our team in Ness-Ziona (Israel). You should join us if you want to learn and help develop state-of-the-art techniques for discovering structure-guided insights into enzymes. You will interface with Enzymit's core team of computer scientists and experimental biologists as well as our external partners.

Responsibilities

– Develop novel algorithms for protein design and prediction, leveraging the most advanced ML/DL algorithms
– Data analysis and visualization for reports/presentations, delivery to partners
– Work side-by-side with chemists, biologists, computer scientists, and software developers to develop new methods for protein design and execute existing ones.
– Assist in the collection/curation of biological datasets (sequence, structure, function data) for machine learning initiatives

Requirements

– Minimum of MSc/PhD in Computer Science or an equivalent field
– We train neural networks to work at scale. An ideal candidate is comfortable with cluster environments and understands the related computer systems concepts (CPU/GPU interactions/transfers, latency/throughput bottlenecks during training of neural networks, CUDA, pipelining/multiprocessing, etc).
– We are at the cutting edge of deep learning applications. The ideal candidate has a strong understanding of the “under the hood” fundamentals of deep learning (layer details, backpropagation, etc). Additional requirements include the ability to read and implement related academic literature and experience in applying state-of-the-art deep learning models to protein structure and protein sequence.
– Knowledge of classical ML
– Experience with Tensorflow, PyTorch or other Deep Learning Frameworks.
– Experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting and Linux environment.
– Passion for biology / physics – a must!

Description

Viber is a calling and messaging app that connects people–no matter who they are, or where they’re from. With a free and secure connection, hundreds of millions of users worldwide communicate with their loved ones through high-quality audio and video calls, messaging, and much more.

As a Senior Software Developer, you will be part of the Data Science team, taking care of the software engineering challenges associated with data science and machine learning. You will be serving and deploying models, putting research into production, and helping build real-time monitoring solutions for machine learning models at a high scale.

This is a unique opportunity to join a fast-growing team and work closely with Senior Data Scientists to design data pipelines, build scalable platforms, tackle challenges in the worlds of recommendations, spam prevention, NLP, computer vision, and more. We expect you to bring industry standards for software engineering practices both in terms of code and process and improve the quality of your team’s outcome.

*We’re implementing a hybrid work-model:)

Responsibilities

  • Study and transform data science prototypes, end-to-end production of cutting edge technologies in a high throughput environment
  • Implement solutions in a big data environment (half a million records/second) from top to bottom, by gathering requirements, specifying data schemes, and developing machine learning processes
  • Design and implement advanced algorithms in machine- and deep learning frameworks

Requirements

  • 3+ years of experience as a Software Developer with Python
  • Experience with big data / large scale software engineering
  • Experience working in a cloud environment, preferably AWS
  • Can work independently and lead projects
  • BSc. in computer science or equivalent

Advantages

  • A hands-on machine learning experience
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