SeeTrue is a leader in modern computer vision (CV) and machine learning (ML) practices.
The Algorithms team is in charge of creating cutting edge algorithmic solutions aimed to automatically detect a wide variety of threats within X-ray and CT security scans. These solutions will help the existing (manual) analysis/detection processes become faster and more accurate.
As a researcher on the team, you will get a chance to work alongside some of the best minds in the field and implement the latest ML and CV algorithms, in a multidisciplinary and dynamic environment.
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
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
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
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.
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
Bigabid is a data science company bent on revolutionizing the app marketing industry.
It is a 2nd-generation user acquisition and re-engagement DSP optimized for app developers.
We use a wide range of state-of-the-art ML techniques to analyze TBs of data and profile hundreds of millions of users through multiple proprietary data sources.
We process TBs of new data every day (PBs overall).
This data is used to power our Machine Learning predictions, business critical metrics and analytics used to power our decision making.
Bigabid is a fast-growing startup founded in 2015 by an experienced team of serial entrepreneurs and backed by some of the most prominent angel investors in Israel.
We are looking for a talented leader that can help us design the next generation data architecture and tools for the data powering our company.
We are looking for individuals who can bring software engineering best practices into building both business and technical critical data pipelines.
Having excellent reliability for such a large and distributed cloud infrastructure is paramount to a data-driven company like Bigabid.
Your team's goal is to create amazing ground breaking tools to make the data scientists more productive and agile.
If you love working on complicated network pipelines, you understand the importance of reliable data and have felt the pain of big data inconsistencies, and you're the type who thinks of great solutions and want to bring them to life, BigaBid is your best challenge.
Be part of a startup company: Help setting priorities and making design decisions based on your experience and insights.
TetaVi, a startup in the field of 3D video reconstruction, is looking for a Senior Algorithm Engineer to join our HQ and R&D center in Tel-Aviv.
>Computer vision expert with strong 3D background
>Deep Learning experience
Since its founding in 2016, the TetaVi team has been at the forefront of developing the leading portable volumetric video capture system that creates high fidelity holograms for immersive experiences. Using computer vision and machine learning, we are enabling the next generation of AR/VR/XR experiences.
TetaVi recently announced a successful series A round of $4 million led by private and returning investors.
Headquartered in Ramat Hachayal, Tel Aviv Israel, TetaVi retains a presence in Tel Aviv, New York, Los Angeles, and Tokyo through its partners and portable studios.
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
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: