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

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.

About Us

Riskified is the AI platform powering the eCommerce revolution. We use cutting-edge technology, machine-learning algorithms, and behavioral analytics to identify legitimate customers and keep them moving toward checkout. Merchants use Riskified to increase revenue, prevent fraud, and eliminate customer friction. Riskified has reviewed hundreds of millions of transactions and approved billions of dollars of revenue for merchants across virtually all industries, including Wish, Prada, Aldo, Finish Line, and many more. We're privately funded and VC backed, and our recent Series E round raised $165 million with a valuation in excess of $1 billion. Check out the Riskified Technology Blog for a deeper dive into our R&D work.

About the Role

The Research and Data Science department is focused on bringing value to Riskified through the development of algorithms and analytical solutions. As a data scientist in the research department, you will be a valuable member of an innovative and technical data science team working on various problems. The department uses a wide variety of advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more).

The Chargeback Algorithm team is responsible for the Research behind Riskified’s core product. The team uses versatile methods (such as classification, clustering, ensembles) to optimize the performance of our models, and develops flows to support operational model training / validation processes and monitoring. We work in big-data settings (e.g. spark, kafka, etc.) using state-of-the-art environments (databricks). We are responsible for the design, research and development of these tools, hence part of our work includes writing production code.

What You'll Be Doing

• Work to improve Riskified’s core product algorithm’s accuracy by implementing improvements to the ML flow
• Research & implement improvements in our our decision engine algorithms
• Work with Product & Dev teams to enhance processes and expedite model development life-cycles
• Mentor team members in a variety of Data Science projects

Qualifications

• 5+ years experience as a data scientist, applied researcher or similar in the industry
• M.Sc/Ph.D in exact sciences
• Experience in ML techniques & DS best practices
• Deep theoretical knowledge in ML algorithms, solid understanding of statistics and applied mathematics
• Extensive knowledge in classification problems of imbalanced data sets, including experience with boosting trees & ensembles
• Ability to write clean and concise code, ideally in R or Python
• Excellent communication skills with the ability to clearly explain complex concepts to business stakeholders
• Creative thinker with a proven ability to innovate through data exploration and application of non-trivial solutions
• Experience using Spark/Docker/Kubernetes and CI/CD – Advantage
• Experience with Bayesian Optimization / Control systems – Advantage

Life at Riskified

We are a fast-growing and dynamic startup with 600+ team members globally. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us.

COVID-19 Update:

• Our Tel Aviv team is currently working remotely. If anyone prefers to work in our office, we’re happy to offer an option to do so safely.
• When the situation improves, we’re looking forward to adapting a hybrid of remote and in-office work for all our team members. We’ll be moving to a new space in TLV – check it out here!
• We’re growing at a rapid rate and have transitioned our interviews to Zoom.

Some of our Tel Aviv Benefits & Perks:

• Stock options for all employees, Keren Hishtalmut, pension
• Private medical insurance, extra time off for parents and caregivers
• Commuter and parking benefits
• Team events, fully-stocked kitchen, lunch stipend, happy hours, birthday celebrations, yoga, pilates, basketball, soccer
• Wide-ranging opportunities to volunteer and make an impact
• Commitament to your professional development with global onboarding, skills-based courses, full access to Udemy, lunch & learns
• Awesome Riskified gifts and swag!