Machine learning
PhD research student
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.
Machine Learning Software Engineer
About the Role:
We're seeking a Software Engineer to help our data science team scale. Here are some examples of the challenges you'll be facing:
- Build frameworks for BigPanda's ML efforts and be a key contributor in the discussion around which ML technologies will be used in production environment
- Design and implement the best production architecture for integrating models into our production pipelines
- Automate repeatable routines for most machine learning tasks
- Bring the best software development practices to the data science team and help them boost their work
- Ensure that data science code is maintainable and scalable
What would make you a good fit?
- You’re passionate about data, data science and ML
- You're excited about building high performance distributed systems that scale
- You're excited to build a product that solves real customer problems.
Requirements:
- Highly proficient in Python language with at least 4 years of production experience
- At least 3 years experience writing in Java/Scala/C# code for distributed systems that were used in production.
- Experience working with any of these technologies: Kafka, ElasticSearch, MongoDB.
Nice to have:
- Hands-on experience with stream processing for near real-time systems. (BigData, Kafka, Distributed systems)
- Production level experience in Scala
- Hands-on experience with Akka framework.
- Experienced working with cloud platforms, preferably AWS.
- Experience with Seldon, Kubeflow and AWS Sagemaker
Research Student
TL;DR:
The Foundations of Deep Learning Lab at Tel Aviv University's School of Computer Science is looking for excellent research students to help develop a mathematical theory behind deep learning.
About us:
Deep learning is experiencing unprecedented success in recent years, delivering state of the art performance in a multitude of application domains. However, despite its extreme popularity and the vast attention it is receiving, our formal understanding of deep learning is limited. Its application in practice is based primarily on conventional wisdom, trial-and-error, and intuition, often leading to suboptimal results (compromising not only effectiveness, but also safety, privacy and/or fairness).
The Foundations of Deep Learning Lab at Tel Aviv University's School of Computer Science is developing a mathematical theory behind deep learning, with the aim of shedding light on existing empirical findings, and more importantly, leading to principled methods that bring forth improved performance and new capabilities. The lab is headed by Prof. Nadav Cohen, and regularly publishes in top tier machine learning venues (e.g. NeurIPS, ICML, ICLR). Its research is highly mathematical, but also includes extensive empirical evaluations that support theory. For more information please visit: https://www.cohennadav.com/.
We are looking for:
You, an excellent mathematically inclined research student, to join us, and help crack open the black box of deep learning. Typical entry to the lab is at MSc level, with the option of pursuing a subsequent PhD if there is mutual interest. Entry at PhD level is also possible, but only in exceptional cases. If interested in applying, please verify that you meet the criteria below, and if so, include in your application CV and grade transcripts.
Prospective MSc students:
Requirements
* BSc from a well-known university, with GPA of at least 95.0/100 (or equivalent), in one of the following disciplines: (i) Mathematics; (ii) Mathematics & Computer Science; (iii) Mathematics & Electrical Engineering; or (iv) Mathematics & Physics.
* Successful completion of introductory course in machine learning (Tel Aviv University's course #0368323501 or equivalent)
* Solid Python programming skills
* Willingness and ability to devote full-time to research
* High degree of independence, work ethic and creativity
Advantage
* Experience with deep learning frameworks (e.g. TensorFlow or PyTorch)
* Professional (industry) experience in machine learning
Prospective PhD students:
In addition to the requirements above, applicants interested in joining at PhD level are expected to meet at least one of the following:
* Proven track record in machine learning research (with publication in top-tier venues)
* Advanced coursework and research in either of the following: Statistics, Optimization, Dynamical Systems, Numerical Analysis, Quantum Physics or Quantum Computing.
Lead Data Scientist
Convizit’s advanced AI technologies are revolutionizing how user behavior data is collected, structured and analyzed.
As a Lead Data Scientist, you’ll be leading an awesome multidisciplinary team of engineers and data scientists who are responsible for the most advanced visitor activity tracker in existence. Our tracker processes millions of online user actions, worldwide, every day. The resulting structured datasets are the most comprehensive ever generated for user behavior analysis and insight extraction. You will develop data-driven approaches and products that are changing the face of user behavior analytics.
What You’ll Do
Lead a team of top-notch data scientists and ML engineers
Collaborate with product management to understand company needs and devise possible solutions and models
Research, plan and implement custom data models and algorithms to apply to our unique data sets
Develop processes and tools to monitor and analyze model performance and data accuracy
What You Have
Ph.D. or MSc in Computer Science, Statistics, Mathematics or other related field
5+ years of experience as a data scientist or similar role with a proven track record of implementing data science algorithms in commercial products
Experience leading data science teams or projects – a must
Experience with time-series data – an advantage
Experience with unsupervised and semi-supervised clustering algorithms – an advantage
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.), the theories behind them and their real-world advantages/drawbacks
Great knowledge of, and hands-on experience with, Python and R
Practical experience with big data processing engines (such as Spark or Hadoop)
Experience with structured and unstructured data
Practical experience with relational and NoSQL databases
Excellent business understanding, problem-solving abilities, and organizational skills
Experience working with web behavior analytics, process mining or NLP – an advantage
Who You Are
Innovative and creative, you love to learn new things and find creative solutions to challenging problems
A natural leader, you are charismatic, responsible and accountable
You love to look at the big picture and help lead teams to successful outcomes
A great teammate, with excellent communication skills, who loves to collaborate with others
Agile, you adapt quickly to changes and thrive in a fast-paced environment
Machine Learning Engineer
Convizit’s advanced AI technologies are revolutionizing how user behavior data is collected, structured and analyzed.
As a Machine Learning Engineer, you will be part of an awesome multidisciplinary team of engineers and data scientists who are responsible for the most advanced visitor activity tracker in existence. Our tracker processes millions of online user actions, worldwide, every day. The resulting structured datasets are the most comprehensive ever generated for user behavior analysis and insight extraction. You will develop data-driven approaches and products that are changing the face of user behavior analytics.
What You’ll Do
- Work closely with other ML engineers, software engineers and top-notch data scientists
- Collaborate with product management to understand company needs and devise models and solutions
- Research and implement machine learning algorithms for our unique data sets
- Develop highly scalable, distributed systems as part of our data pipeline
What You Have
- A degree in Computer Science or related field
- An advanced degree in Computer Science or related field with machine learning experience – significant advantage
- 6+ years of engineering experience, out of which at least 3 years of experience implementing machine learning algorithms into production code
- Significant hands-on experience in Python
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
- Experience with ML frameworks, such as Pandas, Keras, TensorFlow or PyTorch
- Experience with big data frameworks, such as Kafka, Spark, or Hadoop
- Experience with SQL and NoSQL databases
- Experience with cloud SaaS environments (e.g., AWS, Azure, GCP)
Who You Are
- Innovative and creative, you love to learn new things and find creative solutions to challenging problems
- A great teammate, with excellent communication skills, who loves to collaborate with others
- Agile, you adapt quickly to changes and thrive in a fast-paced environment
- A natural leader, you are charismatic, responsible and accountable
- You love to look at the big picture and lead the team to success
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.
DSP/ML Algorithms Engineer
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
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
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.
Post-Doctoral Researcher: Deep Learning for Inverse Problems
We seek a highly motivated postdoctoral researcher for a cutting-edge deep learning (DL) research sponsored by Total Exploration & Production Research & Technology, USA. The research is held at Israel and includes visiting periods at Total (Houston, USA). The postdoctoral researcher will develop novel DL algorithms for solving complex inverse imaging problems. Topics of interest include: DL for 3D seismic inversion, joint Compressed Sensing and DL for seismic imaging, Physics and PDE guided DL architectures, Neural Architecture Search (NAS). We offer a highly competitive salary, and utilization of world-class High-Performance Computing (HPC) resources. For more details contact Dr. Amir Adler, E-mail: adleram@mit.edu, Homepage: https://amiradler.mit.edu
