דרושים » מדעים מדוייקים » Optimization Algorithm Developer (IC Role)

As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.

our Search team is at the heart of how millions of users discover and connect with the right talent every day. Were looking for an Algorithm engineer who combines strong software engineering skills with a deep understanding of search and ranking algorithms. Youll design, implement, and optimize search logic, signals, and ranking systems that power our core discovery experience.
What am I going to do?:

* Develop and optimize the core retrieval systems that form the backbone of our search architecture, focusing on enhancing the recall and precision of search results.
* Utilize technologies like Elasticsearch, Lucene, Vespa, and Machine Learning models to build scalable search retrieval systems solutions that form the primary source for our search platform.
* Work closely with data scientists, product managers, and fellow engineers to integrate Machine Learning models and algorithms.
* Use search evaluation metrics, and user behavior analysis to pinpoint improvements, and conduct rigorous A/B testing and online experiments to validate changes and assess their impact.
* Address complex business challenges related to retrieval by breaking them down into manageable components, conducting in-depth research, and pioneering innovative features for search retrieval.
Equal opportunities:
At our company, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. we are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, we will provide accommodation to individuals with disabilities or a special need.

we are looking for an Algorithm Developer to join AI research team on a mission to solve one of Retails biggest problems. This is your chance to join an elite team, working on cutting edge technologies and solving real-world problems. Your mission will be to develop novel algorithms and modeling techniques alongside a team of other top-talent engineers and researches. The ideal candidate will be independent and highly motivated. He or she is expected to be a self-learner that continuously seeks to push the envelope, following new and emerging trends in technology while working in a complex setting.

our mission is to enable brands and retailers to harness the power of digital technologies to produce the best shopping experiences imaginable. our retail platform allows customers to understand what is happening on shelf, in every store, all the time so they can focus on what they do best delighting shoppers. Many of the worlds top CPG companies and retailers use our dynamic merchandising, in-store execution, shopper engagement, market measurement, analytics, and shelf monitoring solutions at scale to drive positive shopper experiences and unlock revenue opportunities at all points of sale. As pioneers in computer vision, we continue to lead the industry in innovation and excellence through development of advanced technologies and autonomous data collection methods. we are a global company with hubs in the United States, Singapore and Israel, serving customers in more than 90 countries worldwide.
Responsibilities

Develop state-of-the-art AI systems
Develop highly scalable solutions capable of processing a very large amount of data
Own services end-to-end including design, code, test, documentation. Taking ownership of their productization process. Integrate and deploy these within the Trax environment
Contribute to the solution as a whole, through working together collaboratively. We all review pull requests, mentor each other, and give technical talks.

We are looking for a skilled developer with significant experience in creating algorithm-based systems, especially in complex environments. You will lead the technical development of a robust routing and scheduling service, working closely with US-based teams.

Responsibilities:

Lead Development: Take charge of the development process for the routing and scheduling services, ensuring it meets performance and efficiency requirements.

Algorithm Optimization: Apply your deep knowledge of C++ to optimize algorithms and data structures for efficient routing and scheduling.

AWS Cloud Integration: Utilize your expertise in AWS cloud services to design, deploy, and manage cloud-based components of the routing scheduling service.

Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and data scientists, to gather requirements, provide technical insights, and drive project success.

Code Quality: Maintain and improve the codebase by implementing best practices, code reviews, and refactoring when necessary.

Troubleshooting: Identify and resolve complex technical issues, ensuring the service's reliability and performance.

Documentation: Create and maintain documentation for code, design, and processes.

JR314436

We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, signal processing, information retrieval, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, AI Core Machine Learning (PhD) Responsibilities
Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques.
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Contribute to research that can be applied to our company product development.

We seek a passionate Robotics Autonomy Team Lead to join our team and drive the development of cutting-edge autonomous robotic systems.

Responsibilities - what you will be doing:

Design, implement, test, and deploy motion planning and navigation algorithms that drive vehicles safely and efficiently in unpredictable terrains, generating collision-free paths and dynamic maneuvers
Shape top-level autonomy algorithms, balancing performance, safety, and scalability, while employing modern software engineering practices to produce clean, robust, and well-tested code
Leverage real-world data and simulation to continuously refine and optimize algorithms, ensuring stability and resilience in harsh conditions
Work closely with perception, hardware, product, integration, and testing teams to build, maintain, and rigorously evaluate a full autonomy stack in both simulation and real-world environments

Backed by over 250 patents and trusted by global industry leaders including Toyota and BMW, we are redefining AI for the future of autonomous driving.
Our breakthrough Air2Road Localization technology fuses aerial imagery with real-time ground view data to achieve accurate vehicle localization, even in areas where GPS fails. Join our Air2Road team to shape the next generation of AI-driven localization, tackle cutting-edge research challenges, and turn state-of-the-art deep learning into real-world impact!
Responsibilities
As a senior member of the Air2Road algorithm team, you will:
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Use classical computer vision algorithms together with deep learning to build robust solutions.
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.

As part of the algorithm team for the next generation of autonomous driving, you will:
Responsibilities
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks, and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.