Senior

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.

Responsibilities:

    • Research, design and develop CV, ML and DL based algorithms to detect a wide variety of threats within X-ray and CT security images
    • Work with a multi-disciplinary team of security experts and engineers to deliver an end-to-end product: from the idea phase, through collecting and assessing the data, exploring algorithmic approaches, developing, testing, validating and integrating the algorithm in the production environment
    • Read and implement algorithms publications in the field of CV, ML and DL
    • Contribute to the team’s methodologies, best practices and toolset, share your work and give/receive feedback from peers in the team
    • Provide technical guidance to fellow team members
    • Show a strong understanding of software development (in Python & C++) and how to translate Algo ideas into bullet-proof software

Qualifications:

    • M.Sc. in computer science or electrical engineering (preferably in the field of ML/DL and CV)
    • 5+ years experience in CV and ML (ideally python based)
    • 2+ years experience in DL – advantage
    •  2+ years of python coding experience-  a must
    • Great problem-solving skills, and drive for creativity and innovation
    • High achiever, with determination and persistence
    • Strong communication and collaboration skills
    • Team player, positive and driven, fast learner
    • Ph.D. – advantage
    • Leadership experience – advantage

Deep Learning Expert

Upstream Security

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/DL Researcher

SafeRide

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.

Responsibilities:

  • Evangelize operational best practices and continuously look for opportunities to automate and build tools to lower operational barriers, improve clarity on problematic areas, and improve reliability.
  • Lead and grow a team of top-talent senior data engineers.
  • Transform our data architecture for massive scale and high performance.
  • Develop and automate large scale, high-performance data processing systems to drive Bigabid business growth and improve the product experience.
  • Design the architecture and schemas for the tables and be the technical lead for architecting it to be extendable, testable, maintainable and debuggable.
  • Design data models for optimal storage and retrieval, and optimize the data architecture to meet critical product and business requirements.
  • Understand logging and how it impacts the rest of our data flow, architect logging best practices where needed.
  • Develop research tools for our researchers from the Data Science and Data Analysis teams.
  • Preserve quality over the research teams’ code.

REQUIREMENTS

  • 8+ years of relevant industry experience.
  • People leader and a technical leader.
  • Passion for building and motivating teams to reach their potential.
  • You are a strong partner and can drive cross-functional projects forward.
  • Experience building internal infrastructure that is shared across teams.
  • Working with data on the TBs scale.
  • Experience designing, building and operating robust distributed systems.
  • Strong skills of relational databases and query authoring (SQL).
  • Experience with Python is preferred, deep knowledge of PySpark – a plus.
  • Experience designing and deploying high performance systems with reliable monitoring and logging practices – a plus
  • Experience with Machine Learning – a plus

Responsibilities

  • Be part of a data-science team where you will lead end-to-end ML projects. (from data extraction through model validation & A/B testing to model deploying)
  • Discovering and translating business challenges into data-pipelines and model framework
  • Manage and design Customer-specific analytical solutions using Machine Learning.
  • Work closely with Management, Data-Engineering and DevOps teams
  • Interface with R&D and data engineering to integrate data collection, data quality, and core model output into production systems.
  • Convey complex analysis results clearly and with conviction to all stakeholder levels

Be part of a startup company: Help setting priorities and making design decisions based on your experience and insights.

Requirements

  • Minimum 2 years of relevant hands-on experience as a Data scientist / Machine learning expert
  • BSc or equivalent experience in a quantitative field (Statistics, Mathematics, Engineering, Economics, etc.)
  • An all-around data scientist: strong statistics background, strong analytical mindset, experience in experimentation, data visualization, machine learning algorithms, optimization and big data.
  • Experience with R or Python.
  • Exposure to SQL and relational databases
  • Excellent communication & interpersonal skills
  • Willingness to travel.
  • Excellent English – both written & verbal

Advantages

  • MSc or equivalent experience in a quantitative discipline (Statistics, Mathematics, Engineering, etc.)
  • Prior practical experience in production with clustering and text analysis.
  • Strong statistics background, experience in data visualization.
  • Experience using SQL for data extraction and analysis.
  • Experience with web analytics: Defining user journeys, tracking, and attribution concepts, setting up and evaluating A/B-tests.
  • Prior consulting or customer-facing roles

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.

Requirements:

>Computer vision expert with strong 3D background
>Matlab experience
>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.

NLP Expert

Citi Innovation Lab Israel

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!

NLP/ML Researcher

Signals Analytics

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.)
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