דרושים » מדעים מדוייקים » ML Algorithms

a leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our algorithmic scope and products. This is your chance to be part of a groundbreaking company at the forefront of automous driving, safety and intelligence.
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.

As an algorithms developer, you'll be at the forefront of creating and optimizing advanced algorithms for autonomous driving - creating a perception for the 3d world, and performing actions to make your way in this environment. This is a hads-on role, involving machine-learning, mathematical modeling, control-theory and algorithmic solutions to a varietly of problems, all to ensure our systems perform flawlessly in real-world conditions.

Youll collaborate with cross-functional teams to decide on the correct data, create algorithms, and act as a technical expert during developement and testing. Your contributions will directly impact the abilites of autonomous driving technologies.

Responsibilities
As an algorithms developer, you will be responsible for:
Write algorithms to improve our 3d perception of the environment, such as computational geometry, object detection, tracking and prediction
craft new evaluation methods to measure the effect of your models
Diagnosing and solving algorithmic issues that are affecting our performance.
work with large amounts of data, taking part in data-pipeline designs
take ownership of the developement life-cycle: defining the target kpi's, developement and testing, release and integration
extract insights from large amounts of data, contributing to the developement decision making process.
Integrating algorithms with existing frameworks in collaboration with cross-functional teams.

a leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our operations and innovation efforts. This is your chance to be part of a groundbreaking company at the forefront of automotive safety and intelligence.
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
As a Principal Deep Learning Engineer & Team Lead , you will be responsible for designing and implementing state-of-the-art deep learning algorithms that support our vision-based projects. You will collaborate with cross-functional teams to solve complex computer vision challenges and deliver high-quality solutions. Additionally, you will analyze and optimize neural network architectures for speed, accuracy, and robustness, and stay up-to-date with the latest research in the field to bring new ideas and techniques to the team. Your role will also include mentoring junior team members and contributing to the growth of the team's skills and capabilities.

The ideal candidate should have a strong background in deep learning, machine learning, and programming, with a proven track record of developing and deploying successful deep learning models.

Responsibilities
Develop and implement state-of-the-art deep learning algorithms for computer vision applications in the automotive industry.
Collaborate with cross-functional teams to solve complex computer vision challenges and deliver high-quality solutions.
Analyze and optimize neural network and SOC architectures for speed, accuracy, and robustness.
Stay up-to-date with the latest research in the field and bring new ideas and techniques to the team.
Mentor team members and contribute to the growth of the team's skills and capabilities.
Work with co-architect on creating new NN from scratch and leading the team technologically

A leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our operations and innovation efforts. This is your chance to be part of a groundbreaking company at the forefront of automotive safety and intelligence.
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
Responsibilities
As part of the algorithm team for the next generation of autonomous driving, you will:
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, including ground-view images and satellite/aerial images.
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.

Our Machine Learning team is at the forefront of enabling and optimizing high-performance deep learning applications on edge devices. We are looking for a versatile and highly motivated Machine Learning Engineer with a strong R&D background to join our team.
This role requires a solid mathematical foundation, a passion for AI research, and the ability to quickly adapt to new technologies. You should feel comfortable reading and implementing academic papers while also being deeply system-orientedable to dive into hardware architecture, software toolchains, and customer applications as needed.
At our company, developing and deploying deep learning models is software-intensive, and candidates are expected to have strong programming skills in scientific computing. As an AI chip company, we highly value software-hardware integration skills, as our ultimate goal is to ensure seamless optimization for our processors.
Beyond technical expertise, we are looking for candidates who demonstrate:
Ownership and accountability taking initiative and responsibility for driving projects to completion.
Professionalism delivering high-quality work while staying up to date with the latest advancements in AI.
Teamwork collaborating effectively across teams to integrate AI solutions into real-world applications.
We encourage intellectual curiosity and a keen interest in exploring AI trends, discussing future directions, and staying informed about market developments. Candidates should enjoy working in an open, well-documented manner and be eager to present their work to peers and stakeholders.
Responsibilities
Develop and optimize Transformer-based and Generative AI models for deployment on our edge AI processors.
Stay at the forefront of Generative AI and NN computer vision research, driving innovation in edge AI applications.
Benchmark and enhance vision and generative models, ensuring seamless integration with our AI toolchain, through our Model Zoo.
Collaborate with architecture and other software teams to co-optimize models for our unique processing architecture.
Support and engage with tier-1 customers, guiding them in deploying and optimizing their AI models on our platform.

Required Machine Learning Systems Engineer
About this position
You will be responsible for defining the system solution for NN-based image signal processing algorithms.
In your role, you will be tasked with designing an ISP solution that leverages NN to replace classic ISP algorithms and taking the solution from the POC stage to production. You will scope the existing landscape of literature and select solutions which are appropriate for running on our embedded HW, perform proof-of-concept, define system KPIs, and finally carry the solution to product grade level and deployment on our Vision-Processor.
Responsibilities
Domain expert in the field of neural network image enhancement for video cameras.
Work with the product team to translate high-level product functions to system building blocks and drive R&D efforts to implement them.
Implement proof-of-concept projects, taking ideas from papers and public reports and showing product fit.
Technological leadership in a multi-disciplinary environment. You will be working with both external partners and internal technical leadership. You will be expected to understand the various disciplines in a detailed manner and to be both a technical and project focal point for all aspects of the project.

At UVeye, 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 close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands 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 hiring a highly skilled and motivated Research Scientist - 3D Generative AI to join our talented algo team. As a Research scientist, you will be responsible for developing and implementing cutting-edge multi-modality LLMs to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy genAI-powered solutions that enhance our products and services.
A day in the life and how you’ll make an impact: Designing, developing, and implementing multi-modality generative AI models and algorithm s utilizing state-of-the-art techniques
* Collaborating with cross-functional teams to define genAI project requirements and objectives, ensuring alignment with overall business goals.
* Stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
* Publish in high-profile venues such as Nature, Science, CVPR, NeurIPS, ICML or similar
* Optimizing existing generative AI models for improved performance, scalability, and efficiency.
* Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
* Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
* Contributing to the establishment of best practices and standards for generative AI development within the organization
* Providing technical mentorship and guidance to junior team members

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 state of the art algorithms powering LLMs and agentic frameworks. 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 language models, RL and classical ML/NLP.
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

Fast-growing startup with a mission to use the power of Artificial Intelligence (AI) to get everyone access to higher quality healthcare at more affordable costs. Were looking for mission driven individuals to join our team and help us eliminate healthcare inequalities to build a better and healthier future.

Featured most recently in Forbes and Business Insider as a leading AI startup, a telehealth company that harnesses the power of technology to help provide the smartest digital healthcare platform to patients, hospital systems, and providers across the United States. Our AI powered application helps bring together the knowledge of thousands of doctors and anonymous medical data to provide the highest quality care to our patients. We offer a free symptom checker, 24/7 access to board-certified doctors, ability to refill prescriptions from your phone, and more. All within one application - no insurance or preauthorization required.
was founded in 2016, and has partnered with visionary and leading hospital systems and providers such as Cedars-Sinai, Mayo Clinic, and Elevance Health. Join us on our mission to help provide better healthcare for less.

About the role:
Our data science team is looking for a strong researcher with proficiency in modern AI methods (Computer Vision/ML/ Deep / Gen AI), a passion for innovation and ingenuity in defining and turning theoretical problems into products.
In this role, you will utilize our unique clinical data (tabular, visual and textual) to plan and build game-changing based solutions that will provide immediate medical benefit for millions of people around the world. You will have an end to end responsibility for your models - from ideation and research to full productization and monitoring.
Collaborating in research and production environments, you must have proven experience in researching and developing machine learning algorithms and good interpersonal skills. We highly appreciate independent thinkers and doers.

What you'll be doing:
Lead the research and development of new product features backed by state of the art clinical AI
Develop and advance our AI algorithms to drive our Ks clinics medical workflows - both on provider and patient side
Integrate AI algorithms with ML solutions tailored to a specific clinical need
Design and build scalable and efficient pipelines for data preprocessing, information extraction, and model training
Collaborate with our MLE and AI engineering teams to deploy scalable solutions
Stay up-to-date with the latest AI research and best practices, and integrate them into our products
Communicate technical concepts and solutions to non-technical stakeholder

We are looking for a highly experienced a hands-on Software Engineer. Algo/Compiler team has a broad view of the companys technologies, spanning from complicated optimization problems to the hardware components of our system.

If you are super talented, ready to learn new things, and a real team player your place is with us.



Responsibilities:

Design and develop compiler from a proprietary quantum language to a proprietary processor tailored to realize and accelerate quantum computing.
Take on complex optimization challenges at the core of our unique compiler, focusing on real-time applications, hybrid quantum/classical algorithms, and parallel processing.
Hands-on development and debugging of software to optimize the utilization of limited hardware resources, enabling the scaling of quantum computing systems and improving quantum algorithm performance on our cutting-edge quantum orchestration platform.
Collaborate closely with hardware, software and architecture teams to ensure seamless software-hardware integration, directly enhancing system capabilities and performance.

We are looking for a motivated Senior Algorithm Engineer who is experienced in guiding and monitoring, with a high level of professional and personal integrity. To join us you will need to work well under pressure and deliver high-quality code using the latest cloud frameworks and technologies.
As a Senior Algorithm Engineer you will
Algorithm Design and Development: Design and implement algorithms for data ingestion, transformation, and processing, ensuring efficiency and scalability to support various data needs.
Data Pipeline Integration: Collaborate on the design and development of data pipelines to ensure seamless integration of algorithms into the overall data architecture.
Database Optimization: Optimize and maintain both relational and NoSQL databases, focusing on performance and reliability to facilitate efficient data storage and access for algorithmic processes.