Researcher

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

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.

Machine Learning Applied Researcher

The Diagnostic Neuroimaging Lab

Job description:

  • Performing Neuroimaging analysis using MATLAB, Python,

  • Developing Machine Learning algorithms in neuroimaging and medical data

  • Integrating all data received from various aspects of the different studies- structural and functional MRI scans, CRF's, clinical questionnaires, neuropsychological tasks, and patient's clinical background

  • Writing manuscripts and grant proposals

  • Applying Machine Learning algorithms in neuroimaging data

Job requirements:

  • Industrious candidates with B.A/M.A./M.Sc or PhD in neuroscience, computational science or psychology

  • Programming skills, especially in MATLAB or Python

  • Excellent interpersonal abilities and ability to work in a team

A full/part time position and a two year commitment is required!

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!

Our talented AI team is growing and we are looking for a strong candidate who can join us and help us develop life-saving algorithms!

Job Description:

As part of the Al team, you will:

* Develop AI products capable of running at scale (500+ hospitals) and handling real world production variability
*  Translate product and clinical requirements to data driven metrics
* Develop data driven algorithms combining deep learning methods with classic computer vision/medical imaging techniques

 If you're excited about:

Making an impact on a growing real world user base of 600+ hospitals

In depth understanding of clinical aspects and data characteristics of the problem at hand

Working in an exponentially growing startup environment

Requirements:

  • People person, team player and strong can do mentality
  • The successful candidate must have:
  •  2+ years experience with Python
  • Strong coding skills
  • Experience in Deep Learning, and specifically DL for computer Vision problems
  • Owner/Doer mentality
  • Motivation to work on a product that makes a real positive impact
  • Experience in delivery and maintenance of an algorithm in production

The following are a big plus:

  • Additional experience as a software developer
  • Experience with medical imaging
  • MsC/PhD in a scientific field

Location:

We are located in San Francisco and Tel Aviv. This position is based in Tel Aviv.

Our office in Tel-Aviv is located in Menachem Begin 150, within walking distance of Arlozorov and Ha'Shalom train stations.

Data Scientist

Israeli Ministry Of Defense

About

Classified, more details will be given upon request.

Responsibilities:

We’re looking for an experienced Data Scientist to join our DS and ML team and play a major role in solving challenging intelligence problems. The ideal candidate is a true data science passionate, with a strong background and excellent capabilities in the full machine learning spectrum: business understanding, research, data discovery and exploration, feature engineering, modeling, testing, deployment, and monitoring and maintenance. This person will have access to enormous amounts of classified data and will be responsible for researching and developing the next generation technologies. This person will try to solve some the most challenging problems for the intelligence community, and if succeeded – will make an unforgettable impact.

Requirements:

  • 3+ years experience working as a Data Scientist
  • BSc in Statistics, Computer Science, Mathematics, or equivalent quantitative field
  • Hands-on experience in model development, production-grade implementation, and performance monitoring.
  • Data analysis background
  • Excellent Python and SQL skills
  • The ability to understand, utilize and innovate on state-of-the-art machine learning algorithms and statistical modeling
  • Experienced with evaluating, testing, and implementing internal and external data sources
  • Engineering background and ability to deploy ML solutions in production
  • Advantage- MSc/PhD in Statistics, Computer Science, Mathematics, or equivalent quantitative field
  • Advantage- Experience in solving classification tasks using ML/DL
  • Advantage- Tier 2 security clearance

AI Research Intern Position – Microsoft AI Research Team

The Microsoft’s Commerce AI Research team in Israel develop cutting edge machine / deep learning algorithms in the domains of computer vision, natural language processing, audio analytics, recommender systems and more. Our algorithms are implemented in a wide array of Microsoft products (Dynamics365, Xbox, Windows Store, and more) that serve millions of users around the globe. Our research is regularly patented and published in top-tier machine learning and data mining conferences. The position offers a unique opportunity to join one of the best AI research teams in the country.

Responsibilities:

  • Working with world class machine learning researchers, academics, and data scientists.
  • Developing real-world machine learning algorithms in the domains of computer vision, natural language processing, recommender systems, and more.
  • Increasing productivity of ongoing research projects and help to productize them.
  • Working with big data.
  • Statistical analysis of data.
  • Extracting insights from data.
  • Publishing research papers in top-tier machine learning venues.
  • Issuing patents.

Minimum Qualifications:

  • D. / M.Sc. student pursuing research on machine / deep learning with applications for computer vision / natural language processing.
  • Sc. GPA of 90+ from a leading university only.
  • Ability to work at least 3 days a week.
  • Hands on experience in development of deep / machine learning algorithms in PyTorch / TensorFlow for computer vision / natural language processing applications.
  • Excellent coding skills in Python (C#, C++, Java is a plus).
  • Independent, committed to deliver results and make an impact.

Preferred Qualifications:

  • Publications in top-tier machine learning / vision / NLP / data mining conferences.
  • Hands on experience with big data processing.
  • Experience in building industrial machine / deep learning systems.

The Analytics organization at Earnix is charged with developing state of the art analytical and AI/ML solutions & algorithms that are embedded into Earnix suite of products. We are looking for an experienced, innovative & business savvy Analytics leader to join us and help us seek the next big analytical thing.

Requirements

  • Advanced degree (MA/MS.C. or higher) in Computer Science/ Data Science/Statistics/ Engineering/ Economics or any related quantitative field with focus on Data analysis, applied statistics, machine learning/ deep learning
  • At least 8 years of practical experience as a researcher with significant business experience
  • Expertise in a wide range of machine learning/ statistical/ data-analysis and state of the art algorithms & applications
  • Experience in working with external data sources, real time data & processing big data covering both structured and unstructured data
  • Practical experience in addressing real world business problems. (e.g. pricing, product personalization, event detection, etc…)
  • Experience in building end to end analytical solutions in financial services or other relevant industries (e.g. retail, web marketing, cyber etc)
  • At least 5 years of experience managing highly qualified Data Scientists/Analytics professionals
  • Proficiency in Python is a must
  • Strong technical and technological background with good familiarity of a wide range of ML/AI&Big data tools/ solutions/platforms with particular interest in open source solutions/tools (e.g. AWS Sagemaker, MLOps tools, etc…)
  • Sufficient mathematical background for reading applied academic papers
  • Strong verbal & written English communication skills (including presentation skills
  • Leadership & managerial skills- ability to initiate and lead projects, development of people, collaboration with other departments, assertiveness
  • Creative and innovative mind
  • Fast learner & self-motivated
  • Thinking outside of the box
  • Ability to see the big picture and think broadly
  • Track record of successful innovation and its implementation
  • knowledge of Java/ Scala or other programming languages is an advantage
  • Insurance and/or banking knowledge & experience is an advantage

About the company:

Brodmann17 is developing game-changing Deep Learning and Computer Vision  algorithms for ADAS and Automated Driving. We’re pioneering state of the art software products that achieve the best performance and accuracy, making it an ideal solution for the most demanding challenges of the fast growing automotive market. Come and join us in one of the most interesting AI companies, contributing to a life-saving product!

About the job:

We are looking for a Deep Learning engineer to join the Brodmann17 Chief Scientist’s team. In this position, you will build best in class infrastructure and tools for developing deep learning based ADAS and Autonomous Driving products. You’ll be a key member of designing, implementing and extending this platform that enables fast, continuous and flexible Deep Learning algorithms development. You will work closely with excellent researchers to understand the needs and requirements of the research as well as keep up to date with latest developments in the field.

Main responsibilities:

  • Design, build and maintain software platform for end-to-end development of Deep Learning computer vision algorithms.
  • Improve the platform capabilities by keeping up to date with product requirements and academic publications.
  • Work closely with the research team to understand their requirements and integrate new capabilities.

Required: 

  • MSc or above in Computer Science or a related field
  • Relevant projects in Deep Learning / Computer Vision
  • Basic experience with Machine Learning or Deep Learning
  • 2+ years of excellence in Python coding capabilities
  • Experience with Object Oriented Programming and code design
  • Ability to understand and implement complex algorithms
  • Strong execution and ownership orientation, through design, development, and deployment 
  • A team player with good communication skills, both written and verbal
  • Ability to work as a strong contributing member of a small R&D team.

Advantage:

  • Knowledge of Computer Vision, Object Detection
  • Familiarity with toolkits for Deep Learning such as TensorFlow/PyTorch.
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