We’re looking for an experienced data scientist with a strong background in modeling and model evaluation to help us develop and optimize our core algorithms for AI Assurance. Superwise’s solution offers practical capabilities to monitor ML models and gain insights into their behavior in a live production environment. Our mission is to help data science teams to scale their AI effectively. 

As a data scientist you’ll develop and optimize algorithmic solutions for complex, real-world problems in a wide variety of use cases like models performance management, optimization, anomaly detection, bias detection, explainability and more, across multiple industries (fintech, marketing, gaming, etc.). You will also take a critical part in our thought leadership efforts by initiating and collaborating on pieces of content and other articles to help educate the data science and MLOps community.

Requirements

• M.Sc in a relevant (STEM or related) field with 3-5 years of hands-on experience, ideally in early stage startups or deep tech companies. 
• Deep knowledge of algorithms, statistics and ML concepts
• Experience in solving a wide variety of ML tasks (classification, regression, ranking, clustering, anomaly detection, etc.) 
• Combination of strong research & engineering skills. Proficient with Python and MLDL related packages (pandas, scikit, keras, tensorflow, etc.). Experienced in SQL
• Analytical, creative thinker with problem-solving skills
• Ability to perform fast algorithmic poc’s to test future features feasibility.  
• Good communication skills, ability to clearly explain complex concepts both in writing and orally
• Writing skills to communicate, explain and share methodologies and thought leadership content

Nice to have:

• Vast experience in time series anomaly detection – an advantage.
• Experience with ML explainability methods and strategies.
• Experience with docker and kubernetes environments.
• Experience with maintaining  ML models in production and improving performance after deployment
• Content writing

The Opportunity

Vianai is hiring a data scientist to join our team and take part in the design and development of a business action optimization platform based on causal ML and reinforcement learning.
This is a unique opportunity to play an early, significant role in building an impactful product, in a positive and challenging environment.

You will join an exceptionally strong team from the industry and the DS community including access to most F500 companies and ample funding.

What you’ll do:

• Research cutting-edge ML and causal inference methods and collaborate with leaders from academia.
• Design platform components to solve real world action-taking problems.
• Prototype new concepts.
• Work with the world's largest enterprises on building action-taking policies.
• Collaborate with product management to define new product features.
• Collaborate with SW engineers to transform concepts into a product.

About you:

You’re perpetually curious. You’re excited about new ideas and research and about applying them to make an impact. You have excellent hands-on data exploration and coding skills.

You’re independent as well as a team player and you’re looking forward to collaborating with customers and colleagues.

Qualifications:

• PhD in CS, stats, physics or similar field, or MSc with 2+ years of experience. More extensive experience – an advantage.
• Programming skills.
• Background in causal inference or reinforcement learning – an advantage.

UVeye is looking for a Computer Vision Algorithms Engineer. As a Computer Vision Algorithms Engineer you will take part in the development and implementation of new Computer Vision and Machine Learning technologies.

Responsibilities:

• Develop and implement Computer Vision algorithms in one or more of the following fields: Multi view stereo and 3D reconstruction, camera calibration, structure from motion, 3D and 2D registration, anomaly detection, classification
• Create Proof of concept for new products and technology.
• Lead and accompany new products and features, prototype to production
• Collaborate with team members to define future technology and features.Requirements:
  
• At least 3 years of experience with Computer Vision algorithms and frameworks.
• Solid C++ and Python coding skills, experience in development for Linux systems.
• Strong hands-on experience in one or more of the following computer vision fields: Stereo Vision, Augmented Reality, SLAM, Registration, Pose Estimation, Tracking.
• Experience with OpenCV, Open3D, PCL, VTK, CGAL, MVE libraries and frameworks – Advantage
• Experience in Anomaly Detection/ Classifications/ Semantic Segmentation- Advantage
• Experience with Deep Learning Frameworks (such as PyTorch, TensorFlow, etc.) – Advantage
• Good linear algebra and calculus knowledge.
• Good communication skills, organized, independent and self-motivated.
• Excellent English.
• Relevant degree. M.Sc. with thesis in field of CV – Advantage

UVeye is looking for a Machine Learning Software Engineer to join our ML Team. In this role, you will develop efficient and scalable code to create and operate ML systems for our production and Infra environments

 Responsibilities:

• Productization of algorithms in the following fields: Anomaly detection, 3D from 2D, generative models, semantic segmentation, object detection and classification, tracking.
• Evaluate and benchmark different algorithms on unique proprietary datasets.
• Collaborate with team members to define future technology and features.
• Code ML Infrastructure & Framework for Agile ML Lifecycle, MLOps, and CI/CD.
• Integrate ML models into Data Processing products.Requirements :
• At least 3 years of experience as a Software Engineer, proficient with Python.
• Experience working on products that were successfully released to production, in a ML environment.
• Industry experience working on major Vision problems in the fields of Detection, Classification and Segmentation.
• Experience with Major Deep Learning Frameworks (such as PyTorch, TensorFlow, etc.). Comfortable in unexplored territory.
• Experience with Jenkins/Dockers.
• Experience with C++ – Big advantage
• Experience with Tensor RT productization – Advantage.
• BSc. in Computer Science, EE, Mathematics etc. (M.Sc. – Advantage).
• Organized, good communication skills, independent and self-motivated.
• Excellent English.

Description

We are making the future of Mobility come to life starting today.

Our vision at Autofleet is to create the first, truly sustainable, Vehicle as a Service layer,

providing an elastic supply of vehicles serving any source of demand.

We are a startup funded by industry leading investors and are looking for the best people to partner with and shape the company, product and technology moving forward.

Autofleet’s data scientists are responsible for researching, developing and maintaining machine learning models and optimization algorithms as well as data infrastructure and pipelines that power autofleet’s Vehicle as a Service platform for optimizing large scale fleets.

As a data scientist in autofleet you will work directly with engineers, sales, product and clients in order to translate business requirements to production level prediction models and algorithms.

Position based in Tel Aviv.

What You’ll do

• Research and find creative solutions to a unique set of problems
• Develop and maintain machine learning models and optimization algorithms from research to production
• Develop data infrastructure and pipelines
• Collaborate with engineers, sales, product and clients

Requirements

• Master’s/Ph.D. in Computer Science, Electrical Engineering, Machine Learning, information systems engineering, or related field.
• Strong knowledge in Python – a must.
• 2+ years of hands-on experience with developing & maintaining production class Machine Learning projects aimed towards solving business problems – a must.
• Self-starter, fast-learner, self-motivated, able to think big and move fast.
• Familiarity with statistical modeling techniques.
• Experience in data analysis and visualization and strong knowledge in SQL.
• Possess strong problem solving and critical thinking skills.
• Experience working with GCP – an advantage.
• Experience with A/B testing and simulations – an advantage.
• Experience with spatial temporal data / time series – an advantage.
• Experience with operations research problems – an advantage.

At Sight Diagnostics, we aim to improve health through fast and accurate diagnostic testing. We have successfully built our Sight OLO device which performs complete blood count (CBC) based on our own scanning hardware, computer vision and machine learning algorithms. We are now building on our vast experience to extend our capabilities to new and exciting sample types and clinical conditions.

The Data-Scientist role will be part of the Algorithm R&D team.

This role requires a combination of strong R&D capabilities, hands-on approach and good coding skills.

We are looking for someone who is interested in a real challenge, inclined to constant innovation, and excited about contributing to the forefront of medical diagnostic technology.

In your role as Data-Scientist, you will:

• Design algorithm test and benchmarks of existing and new algorithms across large and diverse data sets.
• Design data collections, protocols, and experiments to deliver data whose statistical analysis can serve for clear hypothesis testing and algorithm benchmark, algorithm development and algorithm validation.
• Use, optimize, and develop machine learning models for classification and regression tasks, to create advanced applications for disease and blood cells diagnosis.
• Perform thorough statistical analysis of clinical data and of algorithm performance and write summary reports

About You (skills, experience, potential)

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

• MSc/PhD in Math or Physics (any STEM Degree also possible)
• Minimum 2 years of relevant work experience
• Code writing experience in programming language  (e.g. Python, Matlab or C), and familiarity with relevant ML packages
• Experience with development, validation, and optimization of algorithms.
• Excellent spoken and written English
• Proven ability to analyse, model, and interpret data
• Ability to communicate research results (written and spoken).
• Self-disciplined, self-motivated and proactive with distinctive organizational skills
• Ability to handle multiple projects and changing priorities independently with minimal supervision
• Excellent self learning skills.
• Team player, responsible, delivery-oriented

About Sight:

Our Work : Founded in 2011, Sight DiagnosticsⓇ aims to transform health systems and patient outcomes through accurate and convenient blood diagnostic testing. Sight’s technology, developed over almost a decade of research, represents breakthrough innovations in diagnostic methodology. Sight’s latest blood analyzer, Sight OLOⓇ, performs a Complete Blood Count, the most commonly ordered blood test, with only 2 drops of blood from a fingerprick or venous sample in minutes.

Our Culture: We are a team of passionate problem solvers who are committed to the social impact our technology represents. We enjoy tackling big, complicated and important technological, clinical and behavioral-change challenges as a team, and we succeed through cross-disciplinary collaboration across a non-hierarchical structure. Sight is where everyone’s ideas are valued, considered and debated. We insist on a healthy work-life balance and support working parents with flexible working hours.

Our People: Sight is a rapidly growing team of over 100 individuals, working together on a common mission. We value diversity and are proud of the different professions, backgrounds, expertise and beliefs that make up Sight’s unique ways of thinking. Our people are united by two shared qualities: being exceptional at what they do and caring deeply about making positive changes in the world.

Brodmann17 is a provider of software-only perception technology for vision-based automated driving. Brodmann17’s patent-pending deep learning architecture delivers state-of-the-art accuracy while consuming only a fraction of the compute power, expanding the benefits of artificial intelligence found in premium vehicles to the mass market. Brodmann17’s solution is built from the ground up and designed to meet the industry’s toughest standards for the world’s largest automakers and Tier-1 automotive suppliers. Three years into the research and the technology has its first design wins with automotive companies whose products are expected to hit the market as early as this year.

If you want to work in one of the most interesting AI companies led by top technologists  and researchers in this field – join us!

About the Job:

We are seeking an experienced and sharp algorithm manager with a solid understanding in Deep Learning and Computer Vision that will help shape the future of computer vision solutions and lead our research team.

Main Responsibilities:

• You will plan, design, and carry through short-term applicative challenges as well as long-term research projects.
• Investigate, identify, and implement novel research ideas 
• Provide input for future planning based on area of expertise 
• Be involved in algorithmic challenges as well as visionary project leading, mentoring and advising senior algorithm developers, and training junior developers.

Required

• MUST Experience in leading a long-term data research projects from vision to implementation.
• Deep learning for Computer Vision in depth knowledge

• Familiarity with toolkits for deep learning such as TensorFlow/PyTorch
• More than 3 years of experience required as an Applied Machine-Learning / Algorithms Engineer / Computer Vision Engineer

• MSc  (with thesis) in Computer Science or equivalent is a MUST. A Ph.D. degree is an advantage

• A team player with good communication skills, both written and verbal
• Gets things done attitude

Big Advantage:

• In depth familiarity with deep-learning algorithms for  object detection, segmentation , tracking etc

This is us

Artlist is a leading Creative Technology company for video creators. With original, high-quality music, SFX and footage, Artlist is helping creators produce quality content worldwide.

Since being founded in 2016, Artlist has managed to revolutionize the Filmmaking industry by offering subscription-based products with a license that covers every video project from personal use to commercials with high quality curated content

Today, Artlist is the go-to licensing provider for content creators in over 160 countries.

Our company continues to grow in search of new solutions that will simplify the workflow of filmmakers and creators, so they can focus on creating quality content.

We are looking for a Senior Data Scientist to join our data science team in Tel Aviv.

As a data scientist you’ll define, research, develop and deploy models – impacting artists and creators all over the world!

Working with us means training your model on diverse data created by the top filmmaker and musicians worldwide (you’ll love it!)

Wake up for this:

• Understand the business and product needs and transform them into successful scientific and production ready solutions.
• Build cutting edge models and data pipelines to develop valuable features for our users like:
• Recommendation systems empowering creators all over the world.
• Optimizing user journeys on our platform.
• Analyzing top quality labelled data.
• Creative algorithms to empower our creators.
• Write production grade code, served to our user audience.
• Guide junior DS and be a source of knowledge.

Requirements:

• Minimum of 5 years of hand-on data science, at least 3 years in the industry.
• Extensive knowledge of ML disciplines and algorithms in various fields.
• Expertise in one of the fields – CV, audio, recommendations .
• Excellent programming skills in python, knowledge in SQL.
• Software engineering background – Plus.
• Passionate about music & art – Plus.