Mid-Senior

Jobs Mid-Senior

Algorithm engineer with Machine learning knowledge

Jungo

From the official site:

Jungo is growing our in-cabin AI software team

At Jungo we provide leading edge software for driver monitoring and in-cabin sensing solution, all AI/Deep based – enabling auto makers to create safer cars today, and transition into autonomous vehicles of tomorrow.  Signed way too many customers, so we are growing.

  • Designing and testing of complex computer vision algorithm for state-of-the-art driver monitoring application
  • Maintaining, testing and analyzing existing components
  • Hands on development in C++ & Python

On a personal level:

Jungo is a growing startup in the area of DMS – Driver Monitoring Systems. (TL;DR like Mobileye, but for the driver and the passengers). If you're a student, recent graduate, or a "senior" with knowledge in machine learning and computer vision, and you're looking for a challenging and meaningful position, we can have a match.

What do we aim to achieve?

Insights on the driver and the passengers.

What if we could prevent car accidents which are caused by distracted drivers? What if we could assist new drivers gain safer driving habits? What if we could save lives by preventing kids being left behind in vehicles, or tell you that you forgot your phone/bag/etc' in the car. What if we could make the transition from autonomous-driving to manual-driving safer? and the list goes on…

Which team will you join?

R&D team.

How will you help?

General tasks:

– Develop new models

– Improve existing models

– Create and manipulate large and accurate data sets

– Create and improve the code that uses the model's prediction

– Participate in team and company meetings (Technical and non-technical nature).

Relevant skills:

Languages, tools, frameworks, etc':

Python, C++, OpenCv, Tensorflow, Linux, SQL, etc'….

Senior Data Scientist

Nvidia

NVIDIA Networking BU (formerly Mellanox) AI group is growing and looking for an outstanding data scientist to join the team. If you're looking to work on something new and exciting with top Deep Learning researchers from NVIDIA or if you are passionate about solving problems with real impact on billions of users, your place is with us.

What you'll be doing:

  • Researching and implementing state-of-the-art machine and deep learning algorithms.
  • Develop, prototype, and analyze DL/ML models in the fields of Reinforcement Learning, NLP, Anomaly Detection, Clustering, Genetic Algorithms, and more.
  • Work closely with different partners to define business needs, data and model deployments.
  • You will also have the responsibility of teaching and guiding the development team in the process of algorithm implementation and production.

What we need to see:

  • M.Sc/PhD in Electrical Engineering, Computer Engineering, Computer Science or other relevant fields
  • 3+ years experience as a data scientist
  • Experience with Deep Learning frameworks (TF/Pytorch)
  • Excellent programming, debugging and code optimization skills
  • Experience delivering AI product from research to production
  • Be able to work hands-on independently and at the same time be a team player
  • Excellent written and verbal communication skills
  • Background with Linux and Git

Ways to stand out from the crowd:

  • Ability to work independently with minimal direction
  • Background with working on unsupervised/semi-supervised tasks with complex structured data
  • Experience with Reinforcement learning – a big plus
  • Experience coding in C

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning and Artificial Intelligence. If you're a creative engineer with a real passion for robust and enjoyable user experiences, we want to hear from you.

NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Machine Learning Software Engineer

General Motors

General Motors Israel (Herzelia) takes a significant part in shaping the autonomous vehicle. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies.

About the Group and Position:

Autonomous vehicles are on the way of changing the way we view transportation: improving mobility, reducing car accidents and increasing productivity. One of the main challenges in autonomous vehicles is perceiving the environment around the host vehicle. This is a time critical, data intensive application, running complex algorithms.
Be a member of a strong ML group developing ML based algorithms from research to production.

We are looking for an experienced Software Engineers to join our group of autonomous vehicle!

  • Design and implement Perception infrastructures for autonomous vehicles
  • Design and implement machine learning and computer vision frameworks at scale
  • Develop and optimize latency sensitive pipelines and algorithms
  • Build vital tools and infrastructure for algorithm analysis
  • Gain deep understanding of real-world problems

Qualifications:

  • B.Sc/M.Sc in one of computer science, electrical/computer engineering or equivalent
  • Over 3 years of industry software development experience
  • Experience in working on large-scale systems
  • Experience in machine learning/ algorithms / computer vision systems

 It’s an advantage if you have:

  • Experience in algorithm profiling and optimization – advantage
  • Experience in python / c++ programming – advantage
  • Ambition and dedication to make a positive, global-scale impact on modern transportation

Image processing/computer vision expert

GV-Soft

For a new startup in the field of computer vision, a classical image processing/computer vision expert is needed for that will consult and take part in the research by incorporating classical image processing techniques.

Availability is required for about 100-150 hours in the next 4-5 months.

We are looking for a person experienced in research and implementation of hand-crafted features, including image correlation, feature detection, template matching and advanced image statistical features. Additionally, you will be expected to aid in designing image processing related aspects of the data pre-processing, augmentation and labeling processes.

Requirements:

  • Extensive hands-on experience in classical image processing techniques.
  • Working knowledge of a wide range of techniques, such as image correlation, template matching, feature extraction and selection and feature detection.
  • Experience with leading research and being part of a research team.
  • Advantage – familiarity with Python and related image processing libraries.
  • Advantage – experience with overseeing dataset generation and augmentation.
  • Advantage – experience in working alongside deep learning computer vision solutions, specifically with providing hand-crafted features, data augmentation and labeling objectives.
  • Advantage – BSc or higher degree in computer science / math / related subject.

Computer-vision deep-learning expert

GV-Soft

For a new startup in the field of computer vision and deep learning, a computer-vision deep-learning expert consultant is needed for that will consult and take part in the research and creation of a robust end-to-end deep learning computer vision product.

Availability is required for about 50% capacity in the next 3-4 months.

We are looking for a person experienced in research and delivery to production of SOTA computer vision deep-learning architectures, who will consult in designing the network architecture, training and evaluation, and provide guidance for incorporation of hand-crafted features. You will be expected to aid in creating the research and development roadmap and bringing the solution to convergence, overcoming domain-specific caveats on the way.

Customer Facing Data Scientist

Explorium

Explorium is a cutting-edge data science company that has recently closed a Series B round bringing their total funding to $50 million.

Explorium offers a first of its kind data science platform powered by augmented data discovery and feature engineering. By automatically connecting to thousands of external data sources and leveraging machine learning to distill the most impactful signals, the Explorium platform empowers data scientists and business leaders to drive decision-making by eliminating the barrier to acquire the right data and enabling superior predictive power.

Job Description:

We are looking for an experienced, passionate data scientist to join our Client Facing Data Science team. In this consultative role, you’ll be relied on to interface directly with our clients and prospects, and guide them through data science initiatives from end to end. You’ll develop predictive models, discover hidden connections between client and external data sources, and communicate the insights to our clients. You’ll be exposed to a wide variety of clients across multiple industries (fintech, marketing, real estate, and more), and will be solving tough, real-world business problems using the latest ML models, feature selection algorithms, and MLOps technologies.

Responsibilities:

  • Present and demonstrate Explorium’s product to prospective clients – both technical and non-technical executives.
  • Design use case objectives and success criteria, with an understanding of our capabilities and client needs.
  • Develop data enrichment solutions and predictive models to address the business objectives of our clients, both during the proof-of-concept phase and as part of ongoing engagements.
  • Find and create bespoke data sources, leveraging web-scraping, API automation, and other creative approaches, and integrate them into Explorium’s codebase.

Requirements:

  • At least 2 years of experience as a Data Scientist or similar academic background.
  • Working knowledge in Python/Pandas/Scikit-learn (TensorFlow/PyTorch – Advantage).
  • Ability to do online data research on your own.
  • Analytical with problem-solving skills.
  • Commando / Hacker / Get it done mentality.
  • Comfortable presenting (both remote and face to face), and leading technical discussions.
  • Experience working with customers in pre/post-sales environment – Advantage.

Applied Researcher

Nielsen

Description:

Come and join our growing Algo team and work in a fast paced startup-like environment.

In Aug. 2017 Nielsen acquired ‘vBrand’, an AI-powered sports marketing startup.

Acquisition leveraged lots of algorithmic challenges.

We are looking for an excel algo engineer, which is an independent thinker, a ‘can-do’ attitude and a team player to join our forces, motivated to drive technological and cultural change.

What will you do:

  • Research ML-CV related domains tackled by vBrand team and discover optimal solutions for applying world-class level products
  • Mentor team to advance toward their goals
  • Design and implement new ML based products
  • Contribute to current products and pipelines to overcome their obstacles
  • Elaborate with all team endpoints, including externals.

Requirements:

  • MSc in Math / Computer Science / Operational Research or other quantitative fields (a Ph.D. is a major plus)
  • 5+ years experience developing software and conducting research in computer vision and machine learning environments
  • Knowledge in machine learning, deep learning and video understanding
  • Experience developing deep learning algorithms, such as using convolutional neural networks or recurrent neural networks
  • Experience with deep learning production aspects development, such continual learning, model serving, ml apps distribution and orchestrating and proper ml apps tests performance
  • Great coding and software engineering skills

Preferred:

  • Experience with ML FW: scikit-learn, NumPy, pandas, Keras, TensorFlow, PyTorch
  • Experience with Cloud platforms (aws, Azure, etc.)
  • Distributed Systems knowledge
  • Docker/Kafka/Kubernetes/Jenkins/Kubelow experience – advantage
  • Experience with NoSQL database: mongoDB/etc.
  • Experience with SQL
  • Experience with big data applications such as Hadoop/Spark
  • Familiarity with CI/CD workflows

Our culture:

  • Sports enthusiast
  • Open vacation policy
  • Table tennis addiction

Senior Data Scientist – Time Series

Sparks AB

Sparks AB is looking for a Senior Data Scientist!

We specialize in predicting global macro-economic trends happening around the world using sophisticated and proprietary artificial intelligence and big data.

We are a well-funded company in the predictive analytics field working with top leading financial institutions.

The Data Science team at Sparks AB combines cutting-edge machine learning, deep learning and NLP techniques with the company’s unique data assets to build accurate and reliable economical predictions.

We are currently growing and looking for a Data Scientist with practical experience in Time Series analysis, to join our team.

You will take machine learning ideas all the way from early research to deployment up to production and implement a wide spectrum of approaches and algorithms for a wide range of use cases.

Come join us and experience a young and vibrant environment, challenge yourself on daily basis and be a part of a fascinating world.

Responsibilities

  • Joining a team of first-class data scientists in designing, building and maintaining ML and DL based solutions.
  • Working with colleagues from various disciplines – R&D, Analysts, Product, etc.
  • Working daily with some of the hottest trends in today’s job market: machine/deep learning, big data analytics and cloud.

 

Requirements

  • M.Sc. or Ph.D. in a quantitative field (Computer Science, Software Engineering, Statistics, Electrical Engineering or Information Systems Engineering, etc.) preferably with a focus on Artificial Intelligence or Machine Learning.
  • At least 4 years of hands-on experience with machine learning models or time series analysis and forecasting applied for solving real-world problems.
  • Solid programming experience with Python or R.
  • Strong background knowledge in linear algebra, multivariate calculus, information theory and machine learning concepts.
  • Demonstrated ability to work independently, as well as collaboratively in a team, with high impact results.

Deep Learning Engineer

Snap Inc.

Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together. 

Snapchat is the camera used by millions of people every day to Snap with family, watch Stories from friends, see events from around the world, and explore expertly-curated content from top publishers. In short, we are a passionate team working hard to build the best platform in the world for communication and storytelling.

We’re looking for an exceptional Deep Learning (DL) Engineer to help us improve our conversational technologies. This includes building deep learning speech and NLP models that will be used by millions of users throughout the world. Applicants need to demonstrate production proven experience together with exceptional skills in research and implementation of algorithms in DL, ML, NLP and signal processing.

Responsibilities

  • End-to-end responsibility of deep learning and machine learning models, from research, design and up to implementation.
  • Train, benchmark, deploy and monitor machine learning models throughout the production pipeline

Minimum Qualifications:

  • Master’s or PHD in Computer Science or another quantitative field
  • 5+ years of experience in research teams
  • 5+ years of experience using Python/Go/Java
  • Proven experience in manipulating data sets and building statistical models
  • Proven experience building ML/DL solutions in production (using TensorFlow/Pytorch)
  • Proven experience working within a cloud based environment

Preferred Qualifications:

  • Deep and broad understanding of foundation up to state-of-the-art machine learning deep learning, deep learning and advanced statistical techniques
  • Excellent written and verbal communication skills
  • A drive to learn new technologies and techniques
  • Advantage: proven production based experience in developing systems with deep learning networks for voice and/or NLP
  • Advantage: working in research for high scale consumer systems

Machine Learning Expert

Utilis

Utilis is a successful earth observation data startup company specializing in SAR (Synthetic Aperture Radar) data. Utilis has developed a cutting-edge unique technological solution for exploiting data out of radar satellites including an algorithm that is derived from techniques used to search for water on Mars.

We are looking for a computer vision expert to join our AI team. The team is responsible for the analysis and utilization of SAR data. By using advanced deep learning technologies, signal processing and image analysis our scientists are building cutting edge solutions for a variety of industries.

Essential Functions:

  • Developing image processing algorithms for remote sensing data processing (Synthetic-aperture radar (SAR))
  • Integrating image and/or signal processing algorithms into processing & analysis applications
  • Applying rigorous statistical methods and analysis to ensure findings are complete and accurate.
  • Implementing algorithms in high-level scientific computing languages in Python.
  • Integrating SAR data exploitation techniques into machine learning applications
  • Developing of solutions to complex technical problems where little or no precedent exists, and innovation is required.

Position requirements include:

  • One year experience in image processing, deep neural networks, and convolutional neural networks.
  • Ability to design and implement learning architectures and systems by combining standard Deep Learning (DL) processing components with modality-specific elements to produce novel solutions to hard problems.
  • Two years in algorithms and Deep Neural networks (CNN and GAN) implementation in Python and Keras/TensorFlow 2.0
  • Excellent problem-solving skills
  • Experience in statistics analysis in Python
  • Demonstrated ability to independently manage workload, time, and resources.
  • Experience in working with AWS remote environments (EC2(Ubuntu) and S3)

Additional differentiators:

  • Deep technical understanding of standards for geospatial data.
  • Familiarity with Synthetic-aperture radar (SAR) remote sensing/ultrasound processing or LIDAR sensor.
  • Experience in C and C++
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