Convizit’s AI technologies are revolutionizing how user behavior data is collected, structured and analyzed. Our ML-based tracker, the most advanced user behavior tracker in existence, processes millions of online user actions, worldwide, every day. The resulting structured datasets are the most comprehensive and granular ever generated for user behavior analysis and insight generation.

As Data Science Team Leader, you will lead an awesome multidisciplinary team of data scientists and machine learning engineers who are responsible for Convizit’s core technology.

We work on challenging problems in the fields of clustering, NLP, process mining and causality. We combine advanced machine learning techniques with simpler approaches and heuristics to solve problems that, until recently, were considered “unsolvable.” You will lead the research and development of data-driven approaches and products that are changing the face of user behavior analytics.

We would love to speak with you if you are a hands-on data scientist/ML researcher who is familiar with a variety of machine learning approaches/techniques. We are looking for someone who is passionate about problem-solving, has proven experience developing ML models in production at scale, a strong theoretical background, and proven experience leading data science teams.

What You’ll Do

• Translate challenging business problems into ML projects.
• Lead, mentor and grow the team, and build our data science culture.
• Collaborate and brainstorm with the team’s data scientists and consulting professors to identify the best approaches/solutions for “unsolvable” problems.
• Lead the research and development of ML models that run in production at scale.
• Collaborate with the product team to suggest future products/features, and work with engineering on product integration.
• Brainstorm and work closely with our management team to help guide the company’s journey and lead us to success!

What You Have

• Ph.D./M.Sc. in Computer Science, Data Science, Mathematics or related fields
• 5+ years of experience as a data scientist/machine learning engineer
• Previous experience managing a data science team or technically leading complex data science projects
• Strong theoretical and practical background in a variety of machine learning techniques, including unsupervised learning and preferably NLP
• Significant hands-on experience with the ability to mentor and grow teams
• Experience with big data frameworks (e.g., Kafka, Spark, Hadoop)
• Experience with cloud SaaS environments (e.g., AWS, Azure, GCP) – an advantage

Who You Are

• A natural leader, who loves to look at the big picture and lead teams to successful outcomes
• Passionate about problem solving, with a “can-do” mentality
• Innovative and creative, you love to find creative and elegant solutions to challenging problems
• A great partner for a long journey, you are a team player with excellent communication skills, who loves to collaborate with others
• Persistent, responsible and accountable
• Comfortable working in a fast-paced, dynamic and collaborative environment

We are a Tel Aviv based technology company developing a brilliant baby monitor for the parenting market. We use advanced computer vision, machine learning and deep learning algorithms to help us measure human behavior. We’re changing parenting forever, with a vision that holds the promise to reveal more about human development than ever imagined.

What You’ll Do

As an expert in computer vision and deep learning you will work as a part of a cutting edge algorithms team. You will be responsible for developing state of the art models to solve problems in the video analysis world. Accelerating and improving neural networks to support large scale at low cost. Working with large data and video streams. You will be in charge of the full process cycle: collect data, design network, train, test, analyze errors, improve performance and reduce computation cost

If this sounds like you, you probably have:

• 5 years at least of experience in algorithms development  
• 3 years at least of experience in deep learning development 
• Excellent programming skills in Python, C/C++   
• Experience and theoretic understanding of CNNs for vision tasks like classification, detection, segmentation
• Experience and theoretic understanding of RNNs for video analysis
• Experience with classic computer vision tasks such as feature tracking and signal processing
• Experienced in using Deep learning frameworks: TensorFlow, Keras, PyTorch
• M.Sc. in Computer Science / Electronic Engineering / Math – Mandatory 

Advantage:  

• Experience working with docker
• Hands on experience with embedded systems

• Ph.D. – Advantage 

Why Nanit:

• We have an awesome product, that makes life a little more manageable for new parents
• We work hard. We are constantly striving to discover new and innovative ways to improve our product and ourselves
• We invest in people. We consider each employee a long-term investment and we see value in continuously nurturing and training them
• We believe in creating a fun, ego-less, family friendly, flexible work environment

GKI Group 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.

So, if you’re an experienced Data Scientist/AI Researcher/Computer Vision Engineer, Join our team and help the creation of a life-changing technology that will assist millions of people worldwide.

What are we looking for:

• B.Sc. of higher degrees in exact sciences/computer science/Information systems engineering.
• 2+ years of coding experience with Python or similar language.
• 2+ of experience developing Computer Vision algorithms/image processing//NLP and similar algorithms – Must
• Experience with Deep Learning Frameworks (such as PyTorch, TensorFlow, etc.) – Advantage
• Good written and spoken communication skills in English.
• Strong communication and collaboration skills

It will also be great if you have:

• Experience with state-of-the-art computer vision techniques.
• Experience as a Data Scientist, especially for startup companies.
• Experience in engineering, especially working with CI, docker, Linux, AWS
• Practical experience with current NLP transformers paradigm.

The NLP team is working with Customer Success (CS) Speech & Text, to bring the voice of the customer to decision-makers, by listening to the Customer calls in order to identify what actions are needed to help our customers, and how to better run our business.

We are helping CS experts and experts’ managers by automating the call summarization process, as well as providing expert metrics and coaching insights to improve our CS service.

Our projects:

1. Using NLP to categorize the content of the customer interactions, in order to understand which parts we can change and improve in our UI, documentation or more, in order to improve the customer experience
2. Automatically summarize the contents of each customer interaction, in order to optimize note-taking by reps
3. Developing models that grade different angles of rep customer interactions (professionalism, empathy levels), in order to enable better "Coaching" for their managers

Come join Intuit’s Smart Products and Insights data science team as a Staff Data Scientist. The team is a data science team in a growing domain, focusing on one of Intuit’s strategic goals, designing and building a new and exciting customer-facing, data science-based AI+ML features to help small businesses to thrive.

For this growing domain within Intuit, we are looking for a fully hands-on Data Scientist; a true entrepreneurial spirit, and a team player; an individual with great business acumen and passion to explore, define, and solve important customer problems.

What you'll bring

• Deep connection to the product and the customers
• Deep interest in cutting-edge innovative technologies in NLP, AI, ML, or DL
• Deep technical understanding of underlying DS concepts (not just training models)
• Collaboration with partners across the globe, to deliver complex projects
• Maturity
• Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment
• Strong verbal and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users
• Advantages:

• • Economics and Behavioural Economics background
  • Experience with time series analysis, causal inference analysis, NLP, XAI
  • We welcome people who can deliver E2E AI projects (inception to production). We primarily use Python in all stages of development
  • Fluent in SQL enough to get the data you need from a warehouse (Vertica, Hive, SparkSQL)
  • Comfortable working in a Linux environment
  • Experience with building end-to-end reusable pipelines from data acquisition to model output delivery

How you will lead

• Be an active partner of the full cycle of iterative data-driven feature exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation, and visualization
• Writing and implementing efficient code
• Interact with a variety of data sources, working closely with peers and partners to refine the product needs, using the underlying data
• Work and collaborate with other teams across intuit in Israel and abroad
• Design and build systems that improve machine learning scalability, usability, and performance
• Work cross-functionally with product managers, data scientists, and engineers to understand, implement, refine, and design machine learning and other algorithms
• Effectively communicate results to peers and leaders
• Down the road – Explore the state-of-the-art technologies and apply them to deliver customer benefits

How you’ll succeed

• Own your projects. Lead ideas from conception to production
• Work with product managers to accurately define the product features, and build it accordingly
• Bring both new features to production by the course of the first 12 months
• Apply research to create high impact solutions
• Publish papers and/or patents of your work
• Represent your team’s innovation to the wider organization

DESCRIPTION

Nexar-powered dash cams enable new vision-based applications for better driving. When drivers pair Nexar-powered dash cams with the Nexar app, they join a network that powers new applications for driving and seeing the world. Using anonymous, aggregated data captured from this network, Nexar has developed a portfolio of vision-based data services for public and private sector partners to make roadways safer and more efficient. For automotive companies, dash cams are a gateway to a new era of connected services and new killer apps for drivers, from finding a parking spot to vision-based services.

That’s where you get into the picture. We are looking for smart, passionate, and mission-driven people to bring into our growing team, and help us meet the scale and opportunity in front of us.

We’re looking for a top notch deep learning researcher to help us shape the future of mobility and push the limits of AI.  

Main Responsibilities

• Research and development of cutting edge machine learning and computer vision algorithms. Research domain includes: visual localization, depth estimation, neural architecture search, self-supervised learning, active learning, action recognition, object detection, object tracking, semantic segmentation, etc.
• Leverage our massive large-scale datasets into impactful, life-saving products 
• Work closely with the engineering team on planning and integrating your research projects into production. 
• Work closely with product and BizDev teams to understand the user and business needs and to translate them into research requirements.

REQUIREMENTS

• Ph.D / M.Sc. (with thesis) in Computer Science / Physics / Mathematics or any relevant field (Ph.D. and thesis in machine learning/computer vision is a plus)

• Ph.D / M.Sc. (with thesis) in Computer Science / Physics / Mathematics or any relevant field (Ph.D. and thesis in machine learning/computer vision is a plus)
• Strong background in machine learning, computer vision and algorithms

• 3+ years of hands-on experience developing machine-learning/computer Vision algorithms
• Hands-on experience with at least one major deep learning frameworks (e.g., TensorFlow, PyTorch)
• Strong programming skills in Python

• Creative and innovative problem-solving skills with a passion for cutting edge technologies and product delivery 
• Strong team player and self-learner with excellent communication skills 
• Get things done attitude