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.

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 Dr. 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. PyTorch or TensorFlow)

* 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.

We are seeking a researcher for a key position in our data science and algorithms team, with a significant opportunity to drive the next-generation technology of our company. Activities include rapid prototyping of solutions to data-driven problems using the most advanced deep learning techniques in both the domains of images and text and transferring the work to our live cloud-compute system. We have a direct-to-deploy mindset and the CI backend to support it and also publish articles and patents. Join our fast-paced team, including established research scientists, to build the next revolution in computational document processing.

Requirements

• B.sc. in Computer Science, Math, related fields, or relevant coursework – Must.
• A least 2 years of experience in a similar role – Must.
• Programming: Python – Must, C++ – nice to have.
• Experience with Deep Learning, NLP, or Computer Vision – Must.

•  Linux fluency (scripting, command line), containerized deployment, AWS – preferred.
• Experience with collaborative coding, source control techniques, software project management – required. Git, CI/CD – preferred.
• Datastore and management: SQL – nice to have.

This is us

Artlist is a leading Creative Technology company for video creators. With original, high-quality music, SFX and footage, Artlist is helping creators produce quality content worldwide.

Since being founded in 2016, Artlist has managed to revolutionize the Filmmaking industry by offering subscription-based products with a license that covers every video project from personal use to commercials with high quality curated content

Today, Artlist is the go-to licensing provider for content creators in over 160 countries.

Our company continues to grow in search of new solutions that will simplify the workflow of filmmakers and creators, so they can focus on creating quality content.

We are looking for a Senior Data Scientist to join our data science team in Tel Aviv.

As a data scientist you’ll define, research, develop and deploy models – impacting artists and creators all over the world!

Working with us means training your model on diverse data created by the top filmmaker and musicians worldwide (you’ll love it!)

Wake up for this:

• Understand the business and product needs and transform them into successful scientific and production ready solutions.
• Build cutting edge models and data pipelines to develop valuable features for our users like:
• Recommendation systems empowering creators all over the world.
• Optimizing user journeys on our platform.
• Analyzing top quality labelled data.
• Creative algorithms to empower our creators.
• Write production grade code, served to our user audience.
• Guide junior DS and be a source of knowledge.

Requirements:

• Minimum of 5 years of hand-on data science, at least 3 years in the industry.
• Extensive knowledge of ML disciplines and algorithms in various fields.
• Expertise in one of the fields – CV, audio, recommendations .
• Excellent programming skills in python, knowledge in SQL.
• Software engineering background – Plus.
• Passionate about music & art – Plus.

Post-doc position in Computational MRI

The lab of Prof. Jon (Jonathan) Tamir is seeking a postdoctoral fellow to develop and implement computational MRI methods. The research combining MRI physics, signal processing, optimization, deep learning, and high performance computing. Jon is young, funny, innovative and hands-on – it's a wonderful opportunity for postdoc studies!

Company Description
Do you care about impact on people?
Do you want to publish your work in top tier-1 conferences?
Bosch Center for Artificial Intelligence in Israel is a unique place that researches and implements cutting edge technologies for Manufacturing, Automotive, Robotics, and Industrial Applications. We are looking for Computer Vision experts for various projects. If such topics interest you, then Bosch Israel is looking forward to your application!

Example Projects:

• Rider Assistance for Motorbike
• Developing vision systems for robotics bin picking

Qualifications

• Excellent PhD or MsC in Computer Vision
• Strong academic records and numerous tier-1 publications.
• Strong in Python and Deep Learning frameworks.
• Self-confident and responsible team player with excellent communication skills across all hierarchy levels
• Initiative, highly motivated and motivating character for the team and partners.
• Ability and willingness to define a research agenda to solve real-world problems. 
• Like to work in an interdisciplinary as well as international team.

Job Description

• Create something new: As a leading research scientist, you define a research agenda for an AI research field and conduct excellent research on real-world projects. The results should be published at the leading AI venues (NeurIPS, ICML, ICLR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, etc.) and transferred for implementation in Bosch products.
• Take responsibility: You are responsible for your research field and represent it internally and externally. In addition, you are of Entrepreneurial character and can push projects forward.
• Integrated implementation: Take responsibility for providing strategic and technical competence in a Computer Vision. High proficiency in Python, Deep Learning frameworks, and CV methods in general.

About us:

Intel Labs is Intel’s world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The AI Lab develops breakthrough technologies that will lead the next evolution of compute by offering end-to-end AI solutions that broadly span from the data center to the edge. Our team is focusing on Deep-Learning software and hardware technologies dedicated for state-of-the-art inference and training techniques. We have open sourced NLP Architect, are avid open source supporters and actively publish papers at leading conferences.

About You

We are looking for a talented research student to help our efforts in the field of neural network algorithmic optimizations (e.g. compression, neural architecture search, computation optimization) for existing and next generation hardware products in areas such as natural language processing, speech, and vision.

The job responsibilities may include but are not limited to:

• Working with leading architects on analysis of large-scale deep learning topologies and map the bottlenecks
• Research and implement innovative neural networks optimization ideas to optimize neural networks
• Publish papers in top tier deep learning conferences
• Contribute to Intel’s open source deep learning projects

Qualifications

What are we looking for?

• BSc/MSc/Phd student in Computer Science, Computer Engineering, or related fields
• Strong software engineering background
• Familiarity with DL theory and algorithms
• Proven experience in Python and in one of the popular DL frameworks such as PyTorch or TensorFlow
• Track record of creativity and innovation
• Understanding of system architecture and hardware design
• Good written and verbal communication skills for expressing technical ideas and initiatives

Nice To Have

• Familiarity with state-of-art NLP and DL models
• Experience working with NLP models and developing NLP algorithms and pipelines
• Experience in maintaining or contributing to open source projects
• Familiarity with data analysis tools

Inside this Business Group

Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

We are united in the belief that our very human desire to explore the planet’s beauty and discover more about other people and cultures will endure. The world is waiting for us. Together, we will be ready.

As a Senior Manager of Machine Learning & AI you will be managing the ML science and ML engineering function for Booking.com’s ML Development Center in Tel Aviv. You are a deep subject-matter expert in multiple areas of machine intelligence (e.g. recommenders, optimisation, NLP, Computer Vision) and its implementation as an end-to-end product that generates direct business impact. You define the strategy and vision for how to generate outsized impact through automated intelligence in a broad product area by driving a research agenda and development plan from ideation to prototyping to full productionisation.

B.Responsible

• Translate broad areas of business problems into ML/AI challenges and develop a targeted research plan to identify the best approach within the constraints of the production environment.
• Develop the strategy for machine intelligence on a broad area by designing innovative ML/AI models, algorithms, and approaches that deliver both short-term commercial impact and longer-term differentiated business value and customer experiences.
• Independently define and build proof-of-concepts to test new ideas and demonstrate their potential value to relevant stakeholders.
• Drive the end-to-end execution of the ML/AI development process on products, from understanding product requirements, data discovery, model development and evaluation, to implementation of a full production pipeline for both batch- and stream-based deployment.
• Develop production-grade ML code for models, features, and pipelines, accounting for scalability, latency, realtime requirements, monitoring and retraining.
• Build readable and reusable code, using the right technologies and coding methodologies applying knowledge of business area tools and product needs.
• Create outsized impact for your work through carefully designed rapid prototyping coupled with strategic scale-up in production through the work of other teams.
• Drive platform-based development and reuse by coaching teams in abstracting individual business problems to generalized ML/AI products, rather than point solutions, and in identifying horizontal opportunities across multiple business domains.
• Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of ML/AI disciplines and related fields.
• Mentor others through evidence and clear communication, explaining advanced technical concepts in simpler terms.
• Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies and upskilling on these for yourself and others, as needed.

B.Skilled

• Deep subject matter expertise in one or more areas of ML/AI (e.g. Recommender Systems, Deep Learning, Forecasting, Natural Language Processing, Computer Vision)
• Ability to define a machine intelligence strategy on a product family by identifying short-term development steps that create immediate business value and build upon each other to create longer-term differentiation
• Ability to design an applied research plan from scratch as evidenced by peer-review publication or similar track record
• Ability to execute end-to-end research and development plans and generating impact through large-scale machine learning model development.
• Deep Relevant work or academic experience (MSc + 9 years of working experience, or PhD + 5 years), involved in the development and application of Machine Learning.
• Strong working knowledge of big data technologies
• Strong working knowledge of Python, Hadoop, SQL, R, Spark or similar technologies.
• Excellent English communication skills, both written and verbal.

B.Offered

We are a performance-based company that offers career advancement and lucrative compensation, including bonuses and stock potential. We also offer what we call the “Booking Deal” with unique perks and benefits. The Technology Department has regular hackathons, “innovation days”, training, and attends and speaks at global conferences.

This position is open to local candidates only.