Deep Learning Expert Position

Upstream Security is looking for a Deep Learning Expert to participate in unique research related to the mobility domain.

Leveraging on top of troves of data from ongoing engagements with world's top vehicle manufacturers, we are working on a revolutionary data platform addressing high impact problems relating to predictive maintenance, car fleet management and more. All while, contributing to Upstream's innovative cybersecurity AI.

Working with data sources of various origins, we offer a great opportunity for professional growth, a genuine state-of-the-art problem domain and a high impact work environment.

As such, we are looking for a talented researcher, MSc (4+ years of industry experience) or PhD (2+ years), with a rich background in ML and (particularly) deep learning research, good communication skills and a demonstrable ability to translate real world problems to the mathematical domain.

Some of the subjects we're interested in:

* state-space embedding
* multivariate time series
* unsupervised / weakly supervised learning framework
* language models
* graph algorithms

Join our talented team and take a major role in one of today’s most interesting and sought-after industries.

About Upstream Security

Upstream Security is a cloud-based data platform purpose-built for connected vehicles and smart mobility services. Upstream’s platform fuses machine learning, data normalization and digital twin profiling technologies. The result is unparalleled cybersecurity, quality assurance, and predictive maintenance insights, readily available and seamlessly integrated into the customer cloud. Upstream is privately funded by Alliance Ventures (Renault, Nissan, Mitsubishi), Volvo Group, Hyundai, Nationwide Insurance, Salesforce Ventures, CRV, Glilot Capital Partners and Maniv Mobility.

Are you looking for an opportunity to challenge yourself?

At ZoomInfo our employees work hard to ‘define new possibles’, and they are driven by winning. ZoomInfo is a company that got to where it’s at today on the backs of heroic efforts, over the years, by our employees and we are looking for more people to contribute to those efforts. At our company you’ll see that collaboration is second nature, and you’ll be greeted by a team of incredibly smart, talented, and motivated individuals who will help you define your new best.

You’ll be presented with opportunities to both personally and professionally develop as you build your career. We believe that our employees love to work and love to work here, and that you will like coming to work because of the sense of accomplishment you get from being a part of what we’re building.  You are a fit for our team if you refuse to lose, you seek challenges, and you love to win.

We welcome you to join our team of difference makers who are people working with a passion to win together.

We are looking for motivated, enthusiastic individual to join our data science team. The role is a blend of hands-on data science work, an eye for innovation, and an understanding of the markets in which we work.

The new Sr. NLP Data Scientist will be part of the NLP Data Science Team.

What you will do:

Apply your NLP expertise to propose and develop models and solutions that improve our ML-driven products. Devise models and algorithms and guide engineering to develop scalable solutions that can work real-time with large amounts of data. Help us develop novel solutions, and unlock new directions. You’ll collaborate with product teams, mentor them on best practices for modern NLP, and keep the wider team informed on the state of the art. In addition, you will be in a strategic position to influence future roadmaps for NLP-driven products. You will engage with the research community via publications, workshops, and tutorials.

Who we are:

The data science group With access to countless data sources the group is the ultimate playground for the passionate data scientist. The group is focusing  mainly on text processing tasks such as information extraction, data parsing, text classification, named entity recognition, coreference etc.

The group is currently under rebuilding and is expecting to grow significantly

Requirements:

• Post-graduate or PhD in Computer Science, EE, or Machine Learning related degree with a focus on NLP; or equivalent work experience in the field

• 3+ years NLP applied research experience, preferably experience applying NLP research to real-world problems in the industry

• Experience in building production ML models and understanding of inference challenges at scale

• Good theoretical grounding in core machine learning concepts and techniques

• Ability to perform comprehensive literature reviews and provide critical feedback on state-of-the-art solutions and how they may fit to different operating constraints

• Experience with a number of ML techniques and frameworks, e.g., data discretization, normalization, sampling, linear regression, decision trees, SVMs, deep neural networks, etc.

• Familiarity with one or more deep learning software frameworks such as Tensorflow, PyTorch

• Strong communication skills, both oral and written.

• Excellent analytical, organizational, and time management skills.

Nice to haves:

• Experience with large-scale systems and data, e.g. Hadoop, distributed systems

• Publications in top conferences/journals such as EMNLP, ACL, COLING, TACL, CoNLL, NeurIPs, ICML, ICASSP, Interspeech

About us:

Built over 20 years ago, ZoomInfo Powered by DiscoverOrg has helped companies achieve their most important objective: profitable growth. Backed by the world's most comprehensive B2B database, our platform puts sales, marketing and recruiting professionals in a position to identify, connect, and engage with qualified prospects. ZoomInfo offers unrivaled data and accuracy with contacts, companies, direct dials and professional movement. For more information on our intelligence solution, visit us at zoominfo.com

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

ML researchers are wanted

1.  Application: Analysis of automotive signals for anomalies, fault detection and isolation

2. Responsibilities: Conduct end-to-end applied research including review of the prior art, establishing research plan, implementing PoCs and production-grade models

3. Hard (“must”) requirements:

A degree in exact science

Deep understanding of ML/DL concepts and models

Proficiency in: Python, PySpark, TensorFlow, PyTorch

At least 5 year of ML/DL model development experience

Soft (“nice-to-have”) requirements

D. In Computer Science

Experience in: GANs , VAEs and XAI methods

Experience with signals, time series, anomalies, RNN/LSTM models

Experience with big data (tools and models)- distributed ML

Requirements

Citi Innovation Lab in Tel Aviv is where dynamic projects are cultivated. The lab provides thoughtleadership, technological solutions, and innovation to Citi’s global banking business.

The Natural Language Processing and Machine Automation (NLP & MA) group is responsible for

researching NLP capabilities and implementing NLP products to increase the revenue of Citi. The group is

looking for a talented, creative and experienced NLP expert. This is a great opportunity to advance in your

career, work on projects throughout all stages of the life cycle, and use the state of the art technology.

In our team, we push the boundaries on the state-of-the-art in language understanding, intent

classification, and learning from human interactions. All this, using machine learning, NLP, and deep

learning methods.

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!

Signals Analytics and its next-gen, on-demand data platform takes trillions of unstructured and unconnected external data points and turns it into actionable insights. The platform's analytic engines connect disparate data with deep context to help brands in the Consumer Packaged Goods, Food & Beverage, and Pharma sectors better align with evolving trends. Clients include Procter & Gamble, e.l.f., Nestle, Johnson & Johnson, Bayer, Roche, Mars, and others. Backed by Sequoia Capital, Qumra Capital, Pitango Growth, and TPY Capital, Signals Analytics is redefining market research for the world's leading brands.

We are looking for hard-working, passionate people to help us advance the way organizations use data to be more successful. Using our cloud-based data platform, Signals Playbook™, our team works with executives at major companies worldwide to take unstructured and unconnected external data and turn it into actionable insights for smarter product decisions.

Signals Analytics is seeking an experienced researcher to join our Research team. Our team develops natural language processing algorithms and machine learning-based solutions, boosting our domain-expert Knowledge Bases. With our highly-motivated, top-notch engineering group, in a fun culture, fast-growing company you will:

• Be a major contributor in shaping our research road-map and infrastructures, to provide ontology-based NLP solutions in multiple knowledge domains. Be a mentor in your domain and work in collaboration with other team members, to develop innovative and practical, applied research solutions. You’re expected to demonstrate high quality, efficient, and scalable solutions while following software and data engineering best practices in an agile ecosystem.
• Work with our Knowledge Engineering and Product teams to define requirements and translate those into well designed algorithmic research and solid software solutions
• Work closely with our R&D teams to contribute ML/NLP capabilities to an end to end automated processing pipeline
• Keep up to date with trends and new technologies & processes
• Work in an agile environment – fast research, development, and deployment cycles enabling immediate feedback from our Knowledge Engineering teams.

Requirements:

• M.Sc. or higher in Computer Science / Statistics / Mathematics
• At least 5 years of experience in software design and development, implementing algorithm-based solution frameworks that are extensible, robust, scalable, and high-performance.
• At least 3 years’ experience in research and development of statistical NLP solutions in, from conception to full production code.
• Proven knowledge of statistical NLP / Machine Learning techniques for processing textual content to provide topic modeling, named entity recognition, sentiment analysis, clustering, classification.
• Hands-on experience with Semantic Modeling technologies (Taxonomies, Ontologies, Knowledge Graphs, RDF, OWL, SPARQL)
• Strong Python/Java/Scala development skills with experience in optimization and large scale solutions
• Experience with Python/Java ML/NLP packages and tools (Stanford CoreNLP, sklearn, SciPy, Spark ML/NLP, Spacy, etc.)