We're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector. With over $200M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, we stand at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are looking for an experienced Deep Learning team leader with proven capabilities to lead the development of new products from concept to production. In this role, you will be leading a highly talented team, while creating diverse algorithms based on computer vision and deep learning.
A day in the life and how youll make an impact:
* Lead and manage a team of algorithm engineers while Defining and executing the algorithm development roadmap
* Design and develop novel robust and efficient computer vision and deep learning algorithms.
* Combine the proper algorithm method to the problem - computer vision & deep learning respectively.
* Evaluate and benchmark different algorithms on unique proprietary datasets.
* Collaborate with team members to define future technology and features.
* Stay abreast of the latest advancements in algorithmic research and implement best practices in algorithm development

We are looking for experienced, creative and impact-oriented Algorithm Developers to join our team!

As an Algorithm Developer you will be responsible for building the algorithms powering our platform and our consumer applications (Wordtune Suite). You will be part of a multi-disciplinary team that also includes engineers and product professionals, all working together to bring our products to life.

You will take part in the full life cycle of our development process, deeply understand the problem we are solving, come up with algorithmic approaches for solving these problems, devise strategies for collecting necessary training data, train and evaluate large language models and other machine learning models and also be in charge of deploying these solutions in production.

ROLE AND RESPONSIBILITIES
Build the algorithms that power our various products
Develop production-grade solutions to challenging product-driven NLP tasks by combining deep language models, classical ML/NLP and algorithms
Collaborate with product, sales and customer success teams to define success criteria and translate them into quantitative measures and objectives
Devise innovative strategies for collecting training and evaluation data
Train and evaluate models in realistic production scenarios
End-to-end ownership of the algorithmic components of our products, from design, through implementation and monitoring in production

As a senior computer vision engineer, you will be part of an elite group in the field of AI microscopy and hematology. Our computer vision team is responsible for solving the most challenging tasks in microscopy image analysis. You and your colleagues will research and develop new AI models to analyze thousands of cells, build new infrastructure for on-premise inference, and collect vast labeled data to provide a clinical-grade solution that runs in real time.

Your responsibilities will include:

Continually bringing new knowledge, experience, ideas, and best practices to the team
Implementing AI based on classic computer vision and deep learning, writing clear and efficient code in Python for smooth productization
Continually improving the teams internal research methods and tools
Supporting team members with their research
Take part in defining team data needs
Collaborating with physics, software, and data teams

We are looking for an experienced data scientist with deep data science skills to join our team.
Responsibilities:
Conduct algorithmic research, development and evaluation on various computational biology problems across our platform
Design the architecture and be highly involved in the implementation of our bioinformatics pipeline
Continuously keep up to date with the state of the art tools in bioinformatics and ML
Thoroughly evaluate dataset quality and biases
Help define the technological strategy of the company.

We are looking for a Machine Learning Engineer to join our Data Science group.
We are a fast-growing company that is building a multi-product platform for eCommerce brands, and the Data Science group is at the heart of our innovative solutions.
Our group works on fundamental challenges within the eCommerce space which span a variety of domains, such as Machine Learning, Deep Learning, NLP, Generative AI, Reinforcement Learning, Recommendation Systems, Computer Vision and more.
You will:
Build data pipelines & large scale solutions based on ML models.
Work with big data technologies (e.g., AWS, spark, airflow, k8s), ML technologies (e.g., pytorch, keras, mlflow) and software engineering technologies (e.g., git, docker, jenkins).
Collaborate with highly experienced developers and researchers.
Constantly learn new stuff.

On our journey, we have discovered that building AI that delivers value in the real world, requires much more than just an algorithm - it requires mastering the data layers the algorithms are trained and evaluated on. AI organization, the data development achievements of our group are at the heart of improvements in our AI accuracy and scalability. We are among the few companies paving the way for methodologies and architectural patterns (that don't exist in this field yet) as we go.

Our AI Data Development Group is the data analytics core in our AI algorithms development process, and has several main areas of responsibility:

Mining the optimal data for our datasets, based on a deep understanding of the nuances of medical data, medical workflows, and algorithms.
Evaluating our algorithms performances, in order to maximize their success in real-world environments.
Facilitating data-driven product decisions through in-depth analysis.
Technical project management of the dataset development process.
Responsibilities
End-to-end ownership and technical project management of dataset development projects, for training and evaluation of AI algorithms, from ideation to delivery. This responsibility includes:
The facilitation of the data across various teams.
Detecting errors and anomalies in the data, defining the most efficient and accurate tables and views per project, and researching these issues to verify the quality signature of the dataset, which will have a sound effect on the product outcome.
Developing the optimal data pipeline per project.
Facilitating data-driven product decisions, by deeply understanding the product questions and identifying whether there are cost-effective data analyses that could provide a valuable answer to this question, based on a deep understanding of the relevant clinical workflows and algorithms.
Mapping bottlenecks in existing processes, and leading development of tools, infrastructure, and mechanisms to enhance our efficiency and decision-making processes at all levels.
Continuously assessing the projects risks and successfully mitigating them.
Develop and execute control and review processes for improving the teams quality signature on deliverables.

Were seeking a future team member for the role of AI RESEARCHER to join our AI HUB team. This role is located in TEL AVIV, ISRAEL (hybrid).

In this role, youll make an impact in the following ways:
Algorithmic Development and Mathematical Analysis.
Engage in the in-depth study and modification of algorithms that power Large Language Models.
Deep mathematical understanding of natural language processing techniques, model architectures, and optimization strategies is essential for refining or creating more efficient and effective models.
Technology Review and Benchmarking.
Keep abreast of the latest advancements in the Large Language Model landscape by continuously reviewing state-of-the-art technologies and frameworks.
Identify performance bottlenecks and operational limitations in existing systems, offering technological insights that can steer the development of next-generation models.
Conceptual Innovation and Prototyping.
Dedicate efforts to crafting novel methods and algorithms aimed at pushing the boundaries of what Large Language Models can accomplish.
Translate theoretical breakthroughs into testable prototypes, collaborating with engineering teams to evaluate their real-world applicability and scalability.

We are looking for exceptional talent to join our algorithm team as a Tech lead.
As a Tech lead, you will be responsible for designing, planning, and leading the POC research in order to improve both our camera outputs - intensity and depth images.
Your Day to Day:
Participating in high-level algorithm pipeline architecture definition/planning
Participating in defining detailed requirements for each algorithmic module
Leading POC research end to end from kickoff, through planning, algo development (guiding researchers / hands-on), and reviewing reports.
Guide and develop various algorithmic blocks in ISP (image signal processing) and Computer Vision domains, based on SWIR images
Continuous tracking of POC through Jira against the plan timeline
Developing and implementing infrastructure in POC pipeline code in Python
Review GIT PR (pull request) of the POC pipeline
Support other teams in terms of performance analysis and algorithm pipeline debugging.

Our innovative platform is leading-edge with a strong product-market fit. As a result, we're seeing remarkable growth and close to zero customer churn. To support our hyper-growth and continue propelling the growth of some of the biggest names in the mobile industry, we offer a wide range of opportunities for different skill levels and experiences.
We are looking for a Senior ML Engineer who is passionate about bringing models from development to production. As a Senior Machine Learning Engineer, you will join a team that specializes in the development and deployment of machine learning models at scale. Your role will be pivotal in exploring and integrating new technologies related to machine learning, artificial intelligence, and large-scale data processing.
Responsibilities
Leading the development of machine learning pipelines that are scalable, ensuring they can accommodate future growth in data volume and diversity.
Actively participating in the selection and implementation of new technologies and architectural components to advance our machine learning capabilities.
Develop ML solutions using advanced DL techniques to a diverse set of problems.
Collaborating with cross-functional teams to integrate machine learning solutions into the broader system architecture

We are looking for a highly motivated, experienced Software Team Lead with strong backend roots to join our R&D team. You will lead and mentor a team of talented backend-oriented full stack engineers, and design and build a resilient system that manages our customers' funds, enabling top-notch consumer-facing applications for hundreds of thousands of users.

You will also work closely with the product and BI teams to constantly improve our service based on a data-driven approach along with direct feedback from our customers. The team is responsible for the core company features - building and maintaining highly available financial services, while taking into account high data integrity and security standards.

What you will get:

Scale and Challenge - Work on a highly available, complex and cloud-native application that is used by millions of customers globally, handling millions of transactions every month.
Getting into the Fintech industry - You will get the opportunity to gain deep knowledge in the Fintech industry including payments, banking systems, fraud, and much more.
Sharpen your management skills - Working with our strong leaders you will have the opportunity to sharpen your skills, such as developing, debugging, monitoring, planning, agile and cross-team collaboration.
Leading a team of A-players - The team you are going to lead consists of strong engineers, hence you will be able to leverage and improve your technical skills as well.
And most important: purpose - Get rewarded by developing a product for real people who brings them one step forward to financial inclusion.
Responsibilities:

Lead a team of skilled software engineers building complex flows and business logic in highly available financial services, while taking into account high data integrity and security standards.
Take responsibility over a widely used product, running initiatives from planning, execution, and monitoring in production, and continuously improve the process, in order to create value for our customers.
Take a hands-on approach, contributing to the code and the product.
Define and track the KPIs of the team.
Work closely with different stakeholders, such as product managers, BI, tech support, finance team, and operations.
Work closely with the product team in order to consistently improve our service based on a data-driven approach as well as direct feedback from our customers.
Drive and maintain high engineering standards, for execution, code quality, and customer satisfaction.
job id:R_100745