דרושים » הנדסה » Senior ML Algorithm Engineer

Required Senior Algorithm Engineer
Description
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.

we are seeking an experienced and visionary Head of Research to lead, shape, and advance the future of AI innovation across the organization. In this role, you will own the research strategy end-to-end - from long-term roadmap design to hands-on exploration, and guide a multidisciplinary team of NLP research engineers and linguists toward breakthroughs that elevate our core medical coding engine.

You will play a key role in the company, balancing exploratory research with high-impact product delivery. You will partner with Product, Engineering, and executive stakeholders to identify strategic opportunities, drive prioritization, and translate research capabilities into real-world outcomes at scale.

Responsibilities:

Manage and mentor a multidisciplinary research team while driving both technical excellence and personal growth.
Define the long-term research roadmap aligned with product and business objectives.
Lead the full research lifecycle, from ideation and feasibility studies to experimentation, evaluation methods, and production-ready delivery.
Evaluate and introduce new research capabilities and emerging trends such as LLM-based reasoning, semantic/graph modeling, hybrid rule-learning, and other frontier techniques.
Continuously track scientific trends to maintain a state-of-the-art research practice.
Collaborate closely with Product and Engineering teams to translate domain challenges into algorithmic solutions with measurable product impact.
Represent the Research function at leadership forums, communicate priorities and outcomes, and align stakeholders around research strategies and milestones.

Required Deep Learning Algorithm Developer - ADAS group
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.

Required Senior Deep Learning Algorithm Researcher - Air2Road Localization
Description
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.

Were looking for an Applied Data Scientist to join one of our product squads. Youll design, build, and deploy data-driven solutions that combine machine learning, statistical methods, and SQL/rules-based decision logic to power autonomous supply chain intelligence platform. Youll work closely with data science, engineering, product, and supply chain experts and own solutions end-to-end-from problem definition to production monitoring and iteration.
Responsibilities:
Deliver data science solutions end-to-end within a product squad: problem framing → data prep/labeling → modeling → deployment support → monitoring → iteration
Build, train, and improve ML models for supply chain use cases (e.g., inventory risk prediction, demand anomalies, root-cause analysis)
Define success metrics and evaluation plans with support from senior DS/PM; run error analysis and document learnings
Work with stakeholders to create and maintain ground truth (label definitions, labeling workflows, QA checks, feedback loops)
Implement hybrid decision logic by combining ML outputs with statistical methods and SQL/rules-based logic for robustness and explainability
Analyze large, multi-source operational datasets to identify trends, anomalies, and drivers of performance
Collaborate with software engineers to productionize solutions (batch and/or real-time), including testing, logging, and basic monitoring
Monitor deployed models/rules, investigate performance issues (data quality, drift, edge cases), and iterate based on outcomes
Contribute to team practices: reproducible notebooks/code, documentation, and experiment tracking

Required Accelerator - Application Engineer
Description
A leading high-tech company, developing top-performing AI processors for edge devices in various industries. We combine an extensive understanding of the way neural networks operate, with our teams expertise in SW and HW architecture, to develop products that transform the way we use machines to perceive and analyze the world around us.
Our company is led by a group of experts from a wide range of disciplines, combining experience from elite intelligence units as well as leading tech companies in Israel and abroad, with a track record of executing complex projects from the ground up. As an AI chip company, we believe that AI can help us create a better, safer, more productive, and more convenient world. For this to happen, AI needs to be available at scale and on the edge.
To this end, our team of hardware and software leaders is developing top-performing AI processors, dedicated to AI tasks on edge devices in a wide variety of applications and industries including smart cities, automotive, manufacturing, agriculture, retail, and many more. With hundreds of customer programs around the world, and a wide ecosystem of software and hardware partners, we are leading the edge AI revolution.
In this position
In this role, you would work very closely with both customers and internal teams. On the technical side, you would build demos and reference applications in C++, Python, and GStreamer, helping showcase and enable different AI use cases, including vision AI and generative AI.
You would also support customers as they evaluate and deploy our technology, helping them optimize models, integrate with our accelerator stack, and troubleshoot issues. Internally, the role acts as a bridge between customers, R&D, product, and business teams to make sure technical requirements and feedback are clearly communicated.
Responsibilities
Design and develop end-to-end demo and reference applications in C++, Python, and GStreamer for Vision AI and GenAI use cases.
Own deep technical expertise across the accelerator stack, including Dataflow Compiler, runtime, model quantization, performance optimization, and roadmap direction.
Support deployment and optimization of deep learning models, including transformer-based and generative models.
Lead technical alignment processes with customers from evaluation through deployment.
Act as primary technical focal point for selected strategic accounts.
Provide structured and high-quality pre-sales and post-sales technical support.
Drive issue resolution across Customer Success and R&D, ensuring clear ownership and follow-up.
Translate business needs into technical requirements and collaborate with Product to influence roadmap decisions.
Ensure excellent response time and support quality for customer escalations.
Define best practices, documentation, and internal workflows for application engineering.

We are seeking PHY Algorithm Engineer, Silicon One Israel
Meet the Team:
You will join the SerDes System Algorithm team within Silicon One in Israel, part of our silicon development organization. The team works across modem technology, system modeling, and signal processing for high-speed SerDes devices.
We are at the center of our ASIC group, building next-generation network devices for AI networks, the 5G era, and the future of routing. Our design center brings silicon hardware and software disciplines together in one site, combining a small-team startup atmosphere with the scale and stability.
Your Impact:
As a PHY Algorithm Engineer, you will develop, model, configure, and optimize algorithms for advanced SerDes modem systems. You will work with the latest silicon technologies and processes to help build large-scale, complex devices at the edge of feasibility.
Your work will contribute to Silicon One, a unified and programmable silicon architecture designed for service provider and web-scale markets. The role requires technical depth in digital signal processing, modem behavior, using MATLAB for algorithm development from the idea to advanced SerDes systems.
Research, design and develop PHY and modem algorithms for high-speed SerDes devices.
Build and use system models to analyze modem behavior, signal-processing performance, and algorithm tradeoffs.
Configure, tune, and optimize modem behavior to improve performance, robustness, and implementation feasibility.
Use MATLAB for algorithm development, simulation, testing, and data analysis.
Collaborate with silicon hardware and software teams to move algorithms from modeling into practical implementation.
Support lab-based validation and debug activities when required.

We are seeking PHY Algorithm Technical Leader, Silicon One Israel
Meet the Team
You will join the SerDes System Algorithm team within Silicon One High Speed in Israel, part of our silicon development organization. The team works across modem technology, system modeling, and signal processing for high-speed SerDes devices.
Silicon One is at the center of our ASIC group, building next-generation network devices for AI networks, the 5G era, and the future of routing. Our design center brings silicon hardware and software disciplines together in one site, combining a small-team startup atmosphere with the scale and stability.
Your Impact
As a PHY Algorithm Technical Leader, you will provide technical leadership for the development, modeling, configuration, and optimization of algorithms for advanced SerDes modem systems. You will work with the latest silicon technologies and processes to help build large-scale, complex devices at the edge of feasibility.
Your work will contribute to Silicon One, a unified and programmable silicon architecture designed for service provider and web-scale markets. The role requires technical depth in digital signal processing, modem behavior, and using MATLAB for algorithm development, with the ability to guide algorithm work from initial concept through advanced SerDes system implementation.
Provide technical leadership for research, design, and development of PHY and modem algorithms for high-speed SerDes devices.
Define and use system models to analyze modem behavior, signal-processing performance, architecture constraints, and algorithm tradeoffs.
Guide modem configuration, tuning, and optimization to improve performance, robustness, and implementation feasibility.
Use MATLAB for algorithm development, simulation, testing, and data analysis.
Guide technical decisions, review algorithm tradeoffs, and mentor engineers on complex PHY and modem development tasks.
Lead cross-functional technical collaboration with system, silicon hardware, and software teams to move algorithms from modeling into practical implementation.
Support lab-based validation and debug activities when required.

Required Machine Learning Engineer - AI Coding Agents & LLM Infrastructure
Tel Aviv
Full-time
A bit about us:
We are redefining how software gets built. Trusted by over 1M+ developers, we build AI-first developer experiences powered by state-of-the-art coding agents and code reasoning models. With support for 30+ programming languages and 15+ IDEs, our platform is pushing the limits of LLM-based software engineering - enabling teams to design, write, review, and ship code faster than ever. Were committed to advancing code-native AI models, multi-agent systems, agent orchestration frameworks, memory, and autonomous dev tooling to empower developers at every step of the software lifecycle.
Were growing fast, and our team is passionate about pushing AI engineering to new heights - solving complex problems in LLM training, inference optimization, reasoning, and agent orchestration at scale.
About the Role:
As a Machine Learning Engineer, youll work on cutting-edge
code-focused LLMs and AI agent systems
that power our next-generation developer platform. Youll be at the center of research, model training, and productionization of intelligent systems that understand software deeply, collaborate with developers, and help automate engineering workflows end-to-end. Your work will immediately impact millions of engineers worldwide.
Responsibilities:
Push LLM Innovation: Research, design, and fine-tune domain-specific LLMs for code generation, refactoring, debugging, and multi-turn reasoning.
Agent-Oriented Development: Build multi-agent coding systems that integrate retrieval-augmented generation (RAG), code execution, testing, and tool use to create autonomous, context-aware coding workflows.
Production-Grade AI: Own the training-to-inference pipeline for large code models-optimize inference with quantization, distillation, and caching techniques.
Rapid Experimentation: Prototype and validate ideas quickly; leverage reinforcement learning, human feedback, and synthetic data generation to push accuracy and reasoning.
Cross-Functional Collaboration: Partner with product, engineering, and design teams to ship AI-powered features that help developers focus on high-impact work.
Scale the Platform: Contribute to distributed training, scalable serving systems, and GPU/TPU-efficient architectures for ultra-low-latency developer tools.