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

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 an experienced software & algorithm engineer to join our computational drug hunting team.
Responsibilities:
Design and build a scalable, complex backend infrastructure for our computational cloud platform
Advocate lean and mean solutions, aesthetic design, and architecture
Implement and improve algorithms in our bioinformatic pipelines
Conduct literature reviews for algorithms, bioinformatics methods and big data solutions, and continuously keep up to date with the state of the art
Help define the technological strategy of the company

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 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.

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.

Deep Instinct, the first cyber security company to apply Deep Learning to cyber security is looking for a Senior DevOps Cloud Engineer. Deep instinct is an innovative start-up that has a unique and game-changing software solution to protect Fortune 500 End-Point users against Zero Day & APT cyber-attacks. This is an incredible opportunity to get in early at a Pre-IPO Cyber Security company that is poised to do huge things! We're on a mission to disrupt the cyber security market and the time is NOW! You will take part in Developing, maintaining, and optimizing our products and their production environments. Play a key role in designing our transformation from a single tenant service to a high scale multi-tenant HA cloud native solution. Influence and optimize our software delivery lifecycle, Infrastructure as code, container orchestration, artifact managers, monitoring, and more while working closely with development and research teams.

Office Location:
TLV Office

Region:
Israel

Responsibilities::
What kind of things we do? Streamline the software development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them. Collaborate closely with development teams to understand their current build and release processes and make recommendations for improvement. Partner with cross-functional stakeholders, including development, research, operations, quality assurance and security, to streamline processes. Provide guidance to development teams to improve performance and operability of the solutions they develop. Build and maintain the CI/CD pipelines to improve developer productivity, agility, and code quality. Develop and continuously improve automation solutions to enable teams to build, deploy and test code efficiently and consistently. Ensure that systems meet business and customer needs for reliability and availability. Monitor and manage application performance and service quality, including initial troubleshooting, identification of root cases and issue resolution. Work closely with cross-functional stakeholders to analyze and troubleshoot complex production issues.


Why Work With Us::
Deep Instinct , is the first cyber security company to apply Deep Learning as a platform. We are the only cyber security company harnessing the power of deep learning to prevent 99% of known and unknown attacks from malware and zero-day threats. Deep Instinct Prevention for Endpoints . Prevention of malicious files at the endpoint is critical. Deep Instinct prevents known, unknown, zero-day, and ransomware from executing on the endpoint Deep Instinct Prevention for Applications. is an agentless, on-demand, anti-malware solution for the enterprise that is device and system agnostic. With our unique, industry-leading deep learning ap

We are looking for exceptional hands-on data science, machine learning, and algorithms researchers. Our data science group builds well-crafted machine learning systems which are at the core of unique position to prevent online fraud. you will have the opportunity to analyze complex non-stationary data, innovate, acquire, and demonstrate a wide range of skills and expertise in machine learning while maintaining a focus on delivering systems to production and making an impact. If you possess strong analytical ability and the know-how to translate your ideas into reality, we would like to have the chance to talk to you.

What you'll be doing:
Research and develop innovative machine learning projects up to deployment in production.
Lead projects, initiatives, and multidisciplinary task forces in a dynamic business environment.
Mentor other data scientists, influence your teammates' projects, advise colleagues from other disciplines.
Solve complex, unique data science problems that do not have an off-the-shelf solution. Dive deep into complex and multi-dimensional data sets to identify patterns, anomalies, and potential fraud indicators.
Work closely with domain experts and researchers to integrate domain-specific knowledge into our fraud detection models. Collaborate on research projects to explore new approaches and technologies.
Employ a wide range of techniques from data science, machine learning, statistics, probability, algorithms, and whatever is necessary to solve the most crucial problems is facing.

We are looking for a talented Data Practitioner to join our team and revolutionize the world of external data! In this role, you will be in charge of designing, implementing, testing, deploying, and maintaining our data products, which include data pipelines and ETL processes.
Additionally, you'll harness cutting-edge data science and engineering technologies, such as DBT, Databricks, and Large Language Models (LLMs), to create novel solutions that address complex business challenges.
This role demands strong technical skills alongside a deep understanding of various business contexts, making it ideal for someone passionate about employing the latest technologies to produce meaningful and impactful business outcomes.
Responsibilities:
Lead the development of data products, effectively translating business needs into actionable technical specifications.
Employ cutting-edge technologies including DBT, LLMs, and GenAI to push forward our data science and engineering practices.
Take charge of the entire data product lifecycle, from the creation to the maintenance of ETLs and real-time data pipelines.
Use data science tools to extract actionable insights and valuable business indicators from large datasets.
Ensure high reliability and performance of production systems through robust testing, monitoring, and alerting procedures.
Conduct data analysis across various sources, bringing valuable insights to products and catering to sectors like manufacturing, CPG, and SaaS.