Agilent Research Laboratories is seeking an enthusiastic, experienced and skilled scientist to work in Petach Tikvah, Israel, as part of an international, innovative multidisciplinary team developing next generation technologies for life science research and diagnostics. The focus of this position will be developing novel machine learning approaches and algorithms for accurate analysis and interpretation of high volume measurement data, including high resolution microscopy images.
Come join the Intuit Risk and Fraud Scrum Team as a Software Engineer. Innovative and passionate team of engineers using cutting edge technologies, like Docker, Kubernetes, AWS, Graph DB, Advanced queue solutions etc. You will be developing high volume transactional services that are part of Intuit’s Service Oriented Architecture strategy. Our risk engine is responsible of processing millions of transactions a day to prevent different risk and fraud scenarios. You will work closely with risk and fraud analysts, data and ML developers. You will utilize your skills to help develop and maintain critical back systems through asynchronous and synchronous processing.
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com
Next Insurance is a well-funded post-Series -B startup based in Palo Alto, California with offices in Kfar Saba, Israel. We are revolutionizing the insurance industry by providing small businesses with simple, affordable, tailored insurance coverage by optimizing innovative technology and data science for a superior customer experience.We are looking for a driven Data Scientist to help us bring machine learning to the insurance industry. You will enable us to make the best use of our proprietary data to optimize our growth operations. As a data scientist at Next Insurance, you will work on a wide range of projects, building predictive models of customer behavior and performance (LTV, churn, conversions, etc.). You will report directly to our Head of Data Science and will work closely with both the VP of growth and our product and BI teams.
Research, develop and evaluate predictive models
Iterate and pivot quickly to deliver MVP solutions
Understand the data and dig deep to extract actionable insights
Clearly communicate findings to team members and design A/B tests, and deployment strategies
Design and develop functional monitoring dashboards to improve growth operations
Think creatively and outside the box to answer desired experimental questions
Work cross-functionally with engineering, product, marketing, business intelligence, insurance operations, customer support, senior management, and external partners
3+ years of hands-on experience in machine learning/data science
Previous experience in a similar and relevant role, analyzing data in the following domains:
MS/PhD in Computer Science, Statistics, Applied Math, or related areas
Strong SQL querying skills
Experience in writing both agile exploratory analyses, as well as production-level code in a fast-paced environment
Ability to communicate the results of analyses clearly and effectively in English
Fluency with an analytical programming language (preferably python) and the standard numerical packages
Experience with BI development and technologies (relational / columnar / graph databases, visualization tools such as tableau, aws products, etc.) is a plus
Some flexibility with hours, as the role involves a lot of work with the US
You will take a critical role in our product’s data pipeline and prepare the data infrastructure to be analyzed by our excellent Data Scientists. You will build complex data structures and make sure it is easily accessible & works smoothly in order to optimize the performance of Actiview’s data ecosystem.
The founding team are Experienced Entrepreneurs, ex-navy that Specialized in operating unmanned naval surface vehicles.
Orca has strong connections with the maritime domain, with the help of strategic partnerships and great investors.
As a deep learning researcher, you will create, train and deploy novel deep learning algorithms, use computer vision skills for tackling hard "real world" weather conditions, perform hands-on rapid prototyping and have immense impact on the product.
B.sc / M.sc degree or equivalent practical experience.
At least 3 years of algorithm development experience [OpenCV and alike] in the fields of Deep Learning, Computer Vision, or Image Processing.
Ability to implement, train and deploy different types of DNN models with ease
Prior experience with python using a popular deep learning framework [TensorFlow / Pytorch / Keras / Caffe], with projects targeting vision / DSP
Knowledge with data pipelines, preferably oriented to vision projects
Automotive or drone industry experience
Research to Production code capability
AWS experience [sageMaker / Glue / S3 / EC2]
If you're looking for a real "Blue Ocean" domain to disrupt, perform experiments on ships, and have a great time, contact us!
RSIP Vision provides Computer Vision and Image Processing consulting and algorithms for the broadest range of activity sectors: from precision agriculture to medical applications (cardiology, pulmonology, ophthalmology); from robotics to self-driving cars; from microscopy image analysis to OCR, semiconductors, classification and all kind of machine learning projects.
We are looking for an experienced algorithm engineer to design and implement algorithms for the most challenging tasks in the fields of computer vision (object detection, recognition, tracking, 3D segmentation, etc.) and deep learning, in collaboration with a multi-disciplinary team.
• M.Sc. or PhD. in Computer Science, Physics, Mathematics, Engineering, or a related field from a known university
• At least 3 years of algorithm development experience in the fields of Deep Learning, Computer Vision, or Image Processing.
• At least 5 years of software development experience.
• Ability to manage multiple tasks and prioritize work accordingly.
• Strong mathematical skills.
• Ability to quickly grasp a large existing codebase in Matlab, Python, and C++.
• Experience in developing models using deep learning techniques and tools, such as TensorFlow, Keras, etc.
• Experience leading a software development team.
• Knowledge and experience with OpenCV, MKL, ITK, VTK.
• GPGPU, specifically CUDA.
• Strong understanding of OO design concepts with proven experience.
Be ready to make a difference and join us at RSIP Vision!
Please send your CV to jobs[at]rsip.co.il (with reference EAE)
What You Need:
BlueVoyant is looking for for an experienced Data Scientist who seeks an opportunity to take on new and exciting projects and champion them forward.
We're looking for a technically-strong, independent person, who's also a great team-player, to join a highly-skilled data-science team that works on very large transactional data in the Cyber domain.
Our team is a Cyber R&D team, and as such, we believe in doing our own research and developing our own solutions.
We're looking for people who know how to look at data and draw insights from it, before deciding on the solution to the problem.
Solutions can be as creative as needed, as long as they are practical and efficient, and the responsible team-member is expected to implement it and take it to production.
Problems we're currently working on range from graph-theory, to time-series, to NLP, and we've just recently started.
What We're Looking for:
– A Senior Data Scientist with proven experience in creating solutions that make a difference in an organization.
– Strong machine learning experience (must be "hands on")
– Engineering experience (production-grade designing and coding) – a big plus
– Experience with metadata-based intelligence – a big plus
– Strong statistical background – a big plus
About our Data:
BlueVoyant has unique datasets of Cyber-related traffic, which measure in the Petabytes.
Our data is very high on volume, variety and velocity, and keeps on growing as we gain even more data sources.
Challenges are abundant as we work to create more sophisticated ways of analyzing our data in order to protect our clients.
About the Company:
BlueVoyant is very rare company – Started in July of 2017, the company that was founded by Jim Rosenthal (former COO of Morgan Stanley) has raised 125 million USD and already has about 50 employees in Israel, and 190 worldwide (with offices in the US and Europe).
The company has a unique combination of outstanding data, exceptional people and interesting technology to support it all.
The Israeli branch is managed by Ron Feller – former deputy commander of 8200.
– 3+ years as a hands-on data scientist
– Experience with Hadoop & HDFS (preferably with Spark), ElasticSearch, Kafka
– Proficient in Python
– Additional plusses are: Understanding of micro-service architecture, experience with Docker/Vagrant, experience with additional NoSQL databases/frameworks
Please send CVs to: firstname.lastname@example.org
WSC is looking for a computer vision Algorithm Developer to join our team in developing our next-generation of automatic sports video highlights engine. If you are passionate about state-of-the-art machine learning methods, video analysis, problem solving – we are looking for you!
What you’ll do:
Develop end-to-end real-time solutions for sports content automation using state of the art technologies and architectures of video, audio and data analysis
Full R&D cycle, from problem definition and research to implementation with a high level of autonomy
What you’ll need:
MSc or PHD in Computer Science or Engineering degree with focus on AI/Computer Vision/ML
Hands-on experience and understanding of deep learning frameworks (TensorFlow – advantage)
Experience in Python programming – Advantage
Practical experience in Computer Vision – Must
Practical experience in audio analysis – Advantage