Machine learning

Software Engineer: Distributed Data Systems

HyperCube is pioneering a Deep Learning platform for information retrieval. We provide customers with DL search, recommendation, and personalization capabilities that until now have been in the hands of a few large tech giants. Our team includes industry experts who are founders of multiple startups, CS professors, and world-class scientists and engineers formerly from Amazon, Google & Facebook.

We’re looking for a distributed systems engineer who is an expert on information retrieval and DB internals.

If you’re excited about hard problems at the intersection of AI/ML, search engines, and databases, you like moving fast, and feel restless when a day goes by without attaining something impactful, it’s a great opportunity to join an exciting early stage startup as one of its first employees.

You should have:

  • At least six years of experience as a Software Engineer
  • Vast experience in database internals and information retrieval 
  • Experience in building web-scale services and distributed systems
  • Proficiency in at least one scripting language, such as Python, Scala
  • Proficiency in at least one compiled language, such as C++, Go, Java

While not necessary, it would also help to have experience with either embeddings, nearest-neighbor search, productionizing ML models, or DL frameworks (such as TensorFlow, PyTorch). 

Natural Language Processing R&D Engineer

Alibaba DAMO Machine Intelligence Israel Lab

Alibaba's DAMO-Israel lab is super-charging innovative products by empowering them with Deep-AI. These products are targeting fascinating new markets, such as online education, intelligent workplace, photo sharing and storage services, and more.

As an example of one such market – online education is a huge and challenging market. It involves human interactions of various kinds such as video conferencing, gestures, action, voice, written messages, online assignments, and so on. This makes this field a prime candidate to fulfill our lab's mission to solve hard problems and drive user value with advanced computer vision, natural language processing, and data-analysis technologies.

As an algorithm engineer in our team, you will:

• Be part of a very strong and dedicated team, committed to making a difference.

• Research, develop and improve building boxes & components in natural language processing & related fields.

• Be responsible for end-to-end quality, from understanding the requirements, through suggesting solutions, defining your benchmarks, and making sure your solution is working in the wild.

• Be part of knowledge sharing and collaboration, making the team stronger together.

Requirements:

• At least 7 years of relevant industry experience, with proven success of delivering high-quality solutions.

• MSc in a relevant field in a leading institution. Ph.D. is an advantage.

• Proven experience in natural language. Deep learning experience is an advantage.

• Knowledge of additional data science fields is an advantage.

We are very proud of our culture and vision of Alibaba, which includes continuous learning, adaptivity, teamwork and commitment. Would you like to join us on this journey?

Responsibility:

As a machine learning engineer, you'll be part of our machine learning team who is responsible for designing and running experiments for versatile projects which bring the latest deep learning advances from theory to our products.

Requirements:

Passion is a must 🙂

MSc in Computer Sciences, Electrical Engineering or Mathematics
3+ years of experience as a Machine Learning Engineer, Data Scientist or a similar role.
Experience in building machine learning models deployed to production environments.
Experience with at least one of the following frameworks: Keras, PyTorch, TensorFlow
Python and Matlab – Must
Experience in neural networks optimization for embedded environments – Advantage

Machine learning Group Manager

Nova Measuring Instruments

Nova is looking for a senior, highly capable Machine Learning Manager for its dimensional metrology division. The ML manager is expected to play a key role in establishing Nova’s technical vision and roadmap in the domain of Algorithms in general and Machine Learning in particular, as it applies to metrology and advanced process control. The position requires excellent collaboration abilities with both in-house development partners and customers.

Role:
o Identification and prioritization of high-value algorithmic directions in Machine Learning and other areas, that can be used to address Nova’s main technical challenges
o Leading the feasibility and delivery of ML products while working closely with internal partners
o Managing customer interactions and field C&F projects
o Managing and training a highly skilled team of algo experts
o Serving as a domain expert and technical leader in Machine Learning
Requirements

o Ph.D./M.Sc in Physics, Electrical Engineering, Mathematics, Computer Science or equivalent

o At least 5 years of research and development experience in Algorithms
o Demonstrated innovation, leadership and ability to lead concept and feasibility investigations
o Managerial experience – leading of people and projects
o Strong analytical and algorithmic skills
o Python proficiency (advantage)
o Experience in the semiconductor industry (advantage)
Revuze develops a cloud-based, text-analyzing engine that scans and analyzes both online and offline data sources that mention a customer’s brand, products, and competitors.

The company employs a team of 40 people.

We are looking to hire an experienced Big Data developer / Data Scientist for the algorithm team.

The position will combine development from scratch in the field of big data , along with data science tasks in the field of NLP.

If you have passion for data, experience with Python, willing to be part of algorithm team – We can offer you great opportunity .

Requirements:

B.Sc/M.Sc in Computer Science, Mathematics, Engineering or related field

4+ years of programming experience with Python – must

Experience with building scalable, high-performance, data-oriented systems

Experience working with MongoDB and/or Cassandra

Experience working with Spark

Advantages:

Working with Data science libraries: Pandas, NumPy

Experience working with Scala

Experience in Data Science and Machine Learning techniques (NLP)

PhD research student

Tel-Aviv University

The new Robotics lab at the School of Mechanical Engineering at Tel-Aviv University aims to increase access to robots in domestic and industrial environments to improve the quality of life. The lab, led by Dr. Avishai Sintov, increase the capabilities of robots in various tasks while putting a strong emphasis on the simplicity of the hardware. Such approach enables the use of a low-cost hardware and minimal sensing while implementing advanced algorithms of motion planning and artificial intelligence.

For more information about the Robotic lab: robotics.eng.tau.ac.il

The Robotics lab invites applications for a PhD student position in the area of Human-Robot collaboration. The research will be multidisciplinary including motion planning under uncertainty, machine learning and wearable sensing.

Requirements:

1. Applicants should have M.Sc. in Mechanical Engineering, Electrical Engineering, Computer Science or other close enough field.

2. Experience in machine learning.

3. Python and c++ programming.

4. Passion for robotic research.

5. Experience working with ROS and robotic hardware is an advantage.

Interested applicants should send their CV, list of publications and grade transcripts to Dr. Sintov.

Team Lead Support Engineer

Solutions and technical support engineers, cnvrg.io is looking for you.
Do you want to build the future of data science? cnvrg.io is transforming AI and data science with a code-first platform helping the world’s largest companies scale their machine learning with an unparalleled end-to-end solution.

We’re a well funded, fast growing start up transforming AI and data science with a code-first platform helping the world’s largest companies scale their machine learning with an unparalleled end-to-end solution. We need hands-on technical Solutions Engineers to join our team.

We are looking for people who are:

Very technical and great at solving tech issues
Have excellent English
Can offer high quality customer service
Are available full time
Linux/Unix OS skills – A must (including installation, design, troubleshooting etc)
Experience working with Docker and Kubernetes and knowledge of GitHub and Jira
Understanding of Cloud technologies (AWS, Google Cloud, etc.) and Open-Source systems like docker and Kubernetes

Come and change the future of data science with us.

About us:

JoyTunes is reinventing the way we learn, play and experience music, making it possible for anyone to play a musical instrument. With our top grossing piano apps and the recently launched guitar learning app, JoyTunes is on the fast track to building a global consumer subscription company, becoming the music education center of every household worldwide across instruments and demographics. With over a million monthly downloads and hundreds of thousands of daily learners around the world, we are proud to be helping everyone achieve their musical dreams.

About the position:

The base of all JoyTunes products is our acoustic recognition engines, which allow us to give our users real-time feedback on their musical playing. In this role, you’ll be delivering an order of magnitude improvement in our current capabilities. You will have full, end-to-end responsibility for cutting edge algorithms, signal processing solutions, and machine learning systems. You will lead the way from idea, through research and development, to implementation in JoyTunes products, directly shaping the experience of millions of users.

About you:

  • Love to tinker with signals 🙂
  • BSc Electrical Engineering / Physics / Computer Science or other relevant degree
  • 3+ years’ experience applying algorithms / signal processing to real world problems
  • Good problem solving and analytical abilities
  • Fast learner, willing to try things out of your comfort zone
  • Team player, with strong verbal and written communication skills
  • Machine learning experience – Advantage
  • Love music (who doesn’t) – Advantage

PhD studentship in Explainable AI and Machine Learning

University of Edinburgh, AI institute

Applications Welcome for fully funded PhD position in Explainable AI and Machine Learning at the School of Informatics, University of Edinburgh. This is a Fully funded PhD position at a world leading research centre in AI. Israeli candidates should be stellar students with a BSc or a MSc in relevant fields. Student  can  divide time between Edinburgh and Israel. Further details at below link.

Chief Data Scientist

University of Haifa, Data Science Research Center

The Data Science Research Center in the university of Haifa is recruiting

In October 2019 the university opened a new Data Science Research Center, which has been very active in promoting data science (DS) at the university of Haifa (see https://dsrc.haifa.ac.il/).

The center is promoting two main goals, capitalizing on the unique advantages of the University of Haifa for DS research.

Goal 1: Promoting multidisciplinary research in DS

Researchers from the University of Haifa who are working in the DS area come from 14 different departments, emphasizing either core DS disciplines or application areas. The application areas present real-life challenges not yet addressed by DS that could also be the starting point for development of novel DS methods.

Goal 2: Promoting collaboration of academic researchers with industry and the public sector

The university of Haifa is going through major transformation with the planned opening of the new Namal campus in Haifa (the first campus in Israel to be in the center of a business, entrepreneurship, and entertainment district, and walking distance from a train station), and the opening of the Rakevel from the Lev Hamifratz train station to the Mountain Campus. The DS Center is planned to be part of a new School of Data Science located at the Namal campus.

The center is establishing a new DS Service Unit to broaden the support for researchers and strengthen connections with industry, and is looking to recruit people for the following positions:

1) Data Scientists – long-term (>= 5 years), part-time position possible too

Role:
– Advise researchers at the university on their data science projects
– Analyze data provided by researchers
– Consult/analyze on projects commissioned by companies or researchers outside the university
– Develop tutorials and workshops to advance data science knowledge across the university.

Requirements:
– Broad experience in data science

– Publications related to data science- PhD in Computer Science, Information System, Math or Statistics, or related areas (e.g., astrophysics, bioinformatics)
– Research experience in Machine Learning/AI research environment
– Teaching experience in data science is preferred
– Team player personality
– Good social skills

– Strong technical skills, good system and infrastructure understanding.
– Good organizational skills
– Ability to teach and convey concepts in data science to researchers in other disciplines

2) Chief Data Scientist – long-term (>= 5 years) position

Role:
– Support and advance data science research at the university of Haifa
– Promote activities to engage researchers in collaborative research in data science
– Advise researchers on their data science projects
– Supervise the data science service unit
– Help with planning and overseeing the education plans of the center
– Advise on data science grant programs

Requirement:
– Extensive experience in data science, and especially Machine Learning

– Publications related to data science- PhD in Computer Science (preferred), Math or Statistics
– Proven experience and record in a Machine Learning/AI research environment (for at least 5 years post the PhD diploma)
– Team player personality
– Good social skills
– Good organizational skills
– Ability to teach and convey  concepts in data science to researchers in other disciplines

Interviews will start in July 2020.

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