Machine learning

Who we are

Machines Talk, We Listen. Augury is disrupting the billion dollar Industrial Internet of Things market. The combination of vibration and ultrasonic sensors with powerful machine learning algorithms enables our technology to detect malfunctions before they occur. Our solution impacts the bottom line for industrial and commercial customers by reducing maintenance costs, energy consumption, and environmental impact.

As a Machine Learning Tech Lead, you will solve real-world problems and have a direct impact on innovating Augury’s core technology.  You will be a main point of contact for ML algorithm technical aspects within the company and will teach, guide, and mentor the algo developers to implement state of the art ML algorithm.

A day in your life here:

You will research, develop, and deploy solutions for the multifaceted automatic machine health diagnostics problem.

  • Completely own the entire algorithmic life-cycle including problem learning, discovery, data analytics, prototyping of new ideas, and implementing algorithms in a production environment.
  • You will mentor and lead the algo developers in the area of ML diagnostics algorithms
  • You will be a technological point of contact for ML algorithms group and the company
  • You will apply your scientific knowledge and creativity to solve complex problems. You will use industry-leading cloud technologies in big data storage, distributed processing, stream processing, and time series analysis (such as Apache Spark, Cassandra, Apache Beam).
  • You will improve Augury’s capabilities in detecting and classifying changes to machine health by applying your knowledge in data analysis, signal processing, supervised and unsupervised machine learning and deep learning methods, and time-series anomaly detection.
  • You will work with unique big data. Bv applying research, you will achieve real-world impact – improvement of machine health, industrial process performance, customer insights and efficiency improvement suggestions.
  • You will work on patented state-of-the-art technology, and contribute to new and ongoing patent applications.

What you bring:

  • Education: M.Sc./Ph.D. degree in electrical engineering, computer science, physics, mathematics, statistics or relevant engineering discipline.
  • Your playground: You design algorithms, train predictive models, deploy them (Python is preferred) and track their performance.  You research and implement machine learning methods – clustering, dimensionality reduction, classification, anomaly detection. You are familiar with signal processing methods and challenges. You find software as part of your technology stack. You are  familiar with Agile and seek challenges. You enjoy the fast feedback loop.
  • Own it: You are passionate about creating impact as part of an innovative environment. You like to share your experience and coach other team members to have a direct impact on the team and the core technology of the product.

About us

We love creating stuff. We are passionate about building meaningful products that can change the world. Our team is a diverse group of people that breed creative thinking and are not afraid of having fun. We treat each other with respect, dignity, and humility- we are only as good as the relationships we build. We don’t pursue the mythical work-life balance – there is only life, and Augury is a part of it.

Other Perks

  • Stock options
  • Paid parental leave
  • Flex PTO

ML engineer

VATbox

VATBox has successfully digitised the VAT/GST recovery workflow with its cloud-based enterprise recovery solution. Using intelligent automation, VATBox helps large corporations – including Fortune 500 companies – gain actionable insight into their transactional data, empowering finance and tax professionals with full data integrity, tight compliance and maximum savings. Fusing AI and Computer Vision with human expertise, VATBox provides a full spectrum of VAT/GST audit and recovery services. Benchmarks for tax, finance and procurement – aimed to encourage process improvements and compliance – are all collected in one easy-to-use portal with drill-down capabilities into every single transaction, no matter how small.

Join us to support our mission to empower tax professionals to make strategic business decisions based on transactional data.

About the position:
You will work on designing and implementing high performance infrastructure for training and deploying machine learning models to provide fast, robust, highly scalable services in production. This will include working with data scientists to facilitate their work whilst ensuring software engineering best-practice.

Key Responsibilities:
Design and implement infrastructure to train, deploy, and monitor machine learning models.
Work with distributed computing technologies for processing big-data to train-models and make features available in production.
Write production-ready Python code for model training and deployment.

About You:
Practical understanding of Machine Learning
Able to write high quality, production-ready, Python code
Experience with SQL databases and key-value stores (NoSQL)
Understanding of HTTP and RESTful design
Experience working with containerization and orchestration technologies – docker, kubernetes.
Experience working with AWS or at least another common cloud platform (GCP/Azure)
Familiar with distributed general-purpose cluster-computing (e.g. Spark, Dask, Ray)
Comfortable with unix-based systems
Familiar with testing methodologies and TDD best practices
BSc in Computer Science or equivalent (advanced courses or a MSc in a related field are a major plus)

Not a must, but great to have:
Experience partaking machine learning research and model building from scratch
Basic familiarity with ETL/BI tools & methodologies
Experience with using tools in the MLOps domain (Kubeflow, Apache Airflow)
Familiar with Scala

What we offer:
Competitive salary.
Generous compensation package.
The best tools and equipment to ensure smooth working (personal laptop, headphones, ergonomic bag and a secret surprise…)
Ongoing training and mentoring by industry leaders to empower you to be at your best and achieve the most.
Innovative & fun working environment where your express your creative ideas and execute your professional goals.

EEO
VATBox is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, colour, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or other applicable legally protected characteristics.

Vonage AI Applications group is looking for a data scientist specializing in domains of text, audio and video to improve existing and develop new machine learning algorithms that will enhance the communication experience.

What will you do?

  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rule based models
  • Research and implement new audio or text machine learning algorithms

What do you have?

  • MSc degree in Computer Science or related field
  • 3+ years hands on software development (python in specific)
  • Proven experience working and understanding the domains of audio, text or video (features and preprocessing of data).
  • Experience with frameworks and tools such as: Scikit-learn, numpy, Keras, PyTorch, Tensorflow, spaCy, nltk, word2vec, pandas, numpy
  • Stay up to date with recent advances in machine learning community
  • Contribute to our existing tool sets for advanced research and development
  • Advantage: Knowledge in: C++, Kaldi, Spark and LSTM, RNN, GRU networks

Utilis R&D department seeks for a highly motivated, responsible, curious individual who is willing to solve complex problem for the Data Scientist position. The selected applicant will be a part of Utilis innovation team leading the company data flows and analysis.

Responsibilities:

Responsible for R&D machine learning algorithm development and execution.

Develop complex computer vision algorithms to be applied on satellite imagery and geospatial datasets.

Perform ongoing data analytics and statistical studies.

Qualifications:

Minimum qualifications

Master degree (or applicable experience) in a scientific relevant field is required (Computer Science, Engineering, Bioinformatics, Geoinformation or Geo sciences); PhD is preferred.

Proved experience with creating and leading machine learning processes and computer visions solutions.

Strong background in statistics and statistical programming skills.

Programming: Python (high proficiency), SQL (high proficiency).

Familiarity with deep learning frameworks (e.g. Tensorflow, PyTorch, Keras).

High English proficiency (writing, speaking & reading).

A “can do” mindset with strong communication skills.

Preferred qualifications

Programming: R, Java, MATLAB.

Experience with computer vision and image processing.

Experience with geospatial & numerical python packages (e.g. Numpy, GDAL, Geopandas, Rasterio).

Experience with AWS environment.

Experience with remote sensing, geospatial analytics and GIS development.

Experience in Geospatial DB (PostGIS).

Full time position (100%).

Start date: Immediate (January 2020)

Location: Afeq Industrial Park, Rosh Ha'ayin.

We are looking for a senior algorithm engineer that wants to lead a small team working on a platform that involves cameras, radars, distributed computing, and airports.

You will be working on a dynamic robot style system that detects very small objects from hundreds of meters using both camera and radar technologies.

The algorithms needed range from CNN’s, RNN’s, SVM’s and other machine learning algorithms to camera projections, image processing, and tracking.

We are a "hands on" company, so we like our algorithm team to be able to do software implementation of the algorithms.

Requirements:

Proficient in either C#, or C++ – Minimum 5 years of experience – Must

 C++ experience with NN library – a big plus (Tensorflow, Pytorch, etc.)

Python is a plus

Matlab is a plus

If you have a deep passion for security, love handling massive data sets, and get excited from solving hard problems, Akamai is the place for you. We are seeking a highly motivated Data Scientist who will work on developing the next generation of Akamai's security products to protect our global customer base from APT attacks, cybercrime, and other malware threats. The Data Scientist will be a member of Akamai’s enterprise security team, and will focus on researching, designing and developing the Machine Learning algorithms for our security products, and on publishing and presenting security papers and blogs.

 

Responsibilities:

● Research our ever growing network traffic data set to detect malicious threats, C&C communications, compromised clients and domains, and other malicious anomalies

● Design Machine Learning algorithms identify and overcome threats using Akamai's big-data platform

● Contribute to the security community by producing and publishing blogs, security papers, and conference presentations discussing our methods and findings

● Stay up-to-date with the ML community and the security community

● Work closely with our engineers to deliver detection and prevention mechanisms

Major Qualifications:

 

● BA/MA in Computer Science or similar field, or equivalent experience

● Strong Machine Learning / Data Science or equivalent experience

● Strong coding and scripting capabilities in Python, Scala or other languages, and in SQL

● Creative, innovative, versatile individual, willing and able to explore new territories and solve hard problems

● Highly responsible, self-disciplined, self-managed, self-motivated, able to work in a fast paced, results oriented environment

● Excellent written and verbal communications skills.

 

Deisred Qualifications:

● Strong understanding of malware communications, botnet architectures, malware ecosystem etc – highly desired

● Experience with big data systems and Spark & Hadoop in particular — major advantage

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 to various projects. If such things interest you, then Bosch Israel is looking forward to your application!

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 occurring at Bosch. 
  • Like to work in an interdisciplinary as well as international team.

Wis2Biz, an innovative growing startup, is seeking for a passionate Data Scientist to join our growing Data team on a part-time position.

In this this role you will:

  • Use your analytical skills to extract valuable insights from our fascinating data
  • Identify opportunities for ML application
  • Initiate, research and develop ML algorithms to solve business challenges
  • Work with the product team to integrate the ML models into production

Requirements:

  • Passion for creative problem solving with Machine Learning and Data Analytics
  • Relevant Bachelor degree – preferably Computer Science / Engineering/ Information Systems / Statistics or similar
  • 2-5 years of related work experience
  • Strong Python skills implementing ML and analyzing large data sets 
  • Proven experience with time-series/temporal data clustering and classification, customer behavior analytics
  • Strong SQL skills
  • Big Data experience is an advantage

Researcher

Spotinst

DESCRIPTION

Spotinst is one the largest and most advanced company for cloud work-load automation. We aim to improve performance, reduce complexity and lower compute infrastructure costs.

As a major participant in the cloud optimization field, Spotinst faces many challenges. Our new research team provides solutions for complex core problems, such as usage prediction and resource allocation, handling large amounts of data.  We work closely with the product teams in order to bring state of the art technology to production.

What you’ll do:

  • Find and apply suitable neural network architectures, and evaluate them against current state-of-the-art models
  • Devise better data-driven models for resource-allocation and usage-prediction under constraints
  • Explore existing approaches for time-series prediction, e.g., ARIMA, Prophet
  • Make models that can be applied to Spotinst product development
  • Lay the foundations for research in a fast growing company

REQUIREMENTS

Basic Qualifications:

  • MSc, or Ph.D. degree in CS, EE or a related field (e.g., machine learning, signal processing, data mining and statistics)
  • Publication record in machine learning or related conferences (e.g., NIPS, ICML, ICLR, CVPR,  ICCV, ECCV, ACL, NAACL, EMNLP, and others)
  • Proven experience in the field of machine learning and deep learning
  • Excellent analytical skills
  • Strong coding skills in Python
  • Familiarity with frameworks for deep learning, e.g., Pytorch, Keras
  • Theoretical knowledge in the field of time-series analysis

L1ght is looking to hire a Chief Scientist – a scientific person that's both theoretical & practical. Join our team!

About Us

Our DNA is rooted in cybersecurity and white hat hacking. It’s with this that we're building technology to protect children & adults from toxic online behavior.

Job Overview

Manage a team of data scientists and the IP portfolio of the company. Stay on top of developments in the field of algorithms, emphasis on NLP. You will report to the CTO.

Responsibilities and Duties

– Manage data science & data analysis teams: Vision, planning, execution – Manage IP portfolio: Writing, filing, maintenance

Qualifications

– Ph.D. in Computer Science or relevant engineering degree

– 8+ years of experience leading & managing data science projects

– 5+ years of experience managing 10+ member teams directly

– Proven track record in patent writing & IP generation (took part in generating & filing 10+ patents that can be tracked)

– Extensive, hands-on experience developing ML algorithms in the field of NLP

– Proven track record pushing ML to production

– Must have experience building a strong algorithm team

– Coding skills are a must

– People person & team player

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