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As an AI Algorithm Engineer , youll design and implement advanced algorithmic workflows that power our data digestion pipelines and conversational AI agent experience. You will:
Architect and build workflows that turn raw, unstructured data (e.g., PDF documents and ultra high-resolution architectural drawings) into meaningful, structured context for downstream analysis.
Combine techniques from classical NLP, computer vision, unsupervised learning, and graph theory to build robust end-to-end pipelines - not just standard LLM API calls, but intelligent decomposition, structuring, and context engineering.
Develop AI agent workflows that let customers explore, query, and reason about their data naturally and reliably.
Build strong evaluation infrastructure to benchmark and continuously improve both classical algorithmic components and LLM-based workflows.
Work primarily in Python, and collaborate across systems and services in TypeScript when needed.
Move fast from prototype to production, while maintaining correctness, scalability, and measurable quality.

We are looking for highly motivated, experienced, and passionate wireless algorithm experts for the research and design of advanced cellular communication algorithms, leveraging neural networks and machine learning techniques, for our 5G and beyond products.
What you'll do:
Conduct algorithmic research, balancing performance, implementation cost, real-time constraints, and time-to-market, with a strong focus on ML-based approaches for PHY layer processing.
Design and train neural network models for PHY tasks such as channel estimation, signal detection, beamforming, and decoding, targeting real-time inference on embedded platforms.
Develop algorithms from initial research and simulation through to official customer releases, including literature reviews, ML model prototyping using Python, PyTorch, and TensorFlow, MATLAB modeling, specification writing, and support throughout implementation and end-to-end integration.
Evaluate and benchmark ML-based solutions against traditional DSP approaches, considering accuracy, latency, computational cost, and overall system performance.

We are looking for a highly motivated, experienced, and passionate PHY/RF algorithm expert to join our RU Architecture & Algorithms team. In this role you will research, study simulate, and invent new algorithms in the PHY and RF domains for our next-generation radio products - working on state-of-the-art problems alongside highly skilled multi-disciplinary teams.
A key part of our charter is bringing AI/ML-based methods into the RF/PHY domain, and you will help shape and realize that direction.
Job Responsibilities:
Research & invention - study the state of the art and conceive, develop, and prototype novel PHY/RF algorithms for advanced cellular radio products.
Modeling & simulation - build MATLAB/Python models and run simulations to validate concepts, quantify performance, and de-risk ideas before implementation.
Trade-off analysis - balance performance against implementation cost, real-time constraints, and time-to-market to converge on the right design.
AI/ML for RF/PHY - explore and apply machine-learning and data-driven techniques to RF/PHY problems (e.g., neural DPD, channel estimation, interference/PIM classification, beamforming, and related areas).
From research to release - drive algorithms from research and simulation through to an official release, including specification documents and hands-on support during implementation and integration toward high-quality deliveries.
Collaboration - work with highly skilled architecture, system, firmware, hardware, and validation teams to bring algorithms into real products.

We are looking for a highly skilled Computer Vision & Algorithms Engineer to take ownership of core perception and decision-making modules - bridging the gap between machine learning outputs and real-world robot behavior.

In this role, you will turn noisy, imperfect sensor data and incomplete computer vision outputs into robust, actionable decisions, ensuring reliable system performance in challenging outdoor conditions.

This is a hands-on, high-impact role in an early-stage startup, requiring strong ownership, fast iteration, and comfort working in ambiguous, real-world environments.

What You'll Do
Own the design, implementation, and validation of perception post-processing and decision-making modules
Transform ML and computer vision outputs (e.g., 3D point cloud segmentation, sensor data) into reliable, structured representations
Develop algorithms for noise filtering, tracking, and spatial reasoning under uncertainty
Design and implement decision logic for robot target selection and behavior
Develop and improve computer vision and 3D perception pipelines for real-world deployment
Work closely with ML engineers to define interfaces, handle uncertainty/confidence, and improve system robustness
Deploy and optimize algorithms on embedded edge platforms (NVIDIA Jetson)
Write production-grade C++ code and prototype in Python
Debug and iterate using real-world flight data and field tests
Lead the module validation within the integrated robot environment and field-test scenarios

the global innovator and leading solutions provider of 5G wireless transport, is looking for an Algorithms Engineer to join our team.
In this role you will:
Be a part of a leading Algorithm team responsible for developing Radio core technologies for innovative wireless communication products.
Develop algorithms and architectures for a high spectral efficiency modem in a challenging environment.
Simulate and test new HW & SW designs in Matlab and real-time, in a full modem and channel environment.
Collaborate with the VLSI, RF, SW and System groups.
Take end-to-end ownership, from the concept stages to the fully operational system.

the global innovator and leading solutions provider of 5G wireless transport, is looking for an Algorithm Engineer Team Lead.
In this role you will:
Lead our Algorithm team responsible for developing Radio core technologies for innovative wireless communication products.
Staying HO and develop algorithms and architectures for a high spectral efficiency modem in a challenging environment.
Simulate and test new HW & SW designs in Matlab and real-time, in a full modem and channel environment.
Collaborate with the VLSI, RF, SW and System groups.
Take end-to-end ownership, from the concept stages to the fully operational system.

We are looking for an Algorithms Engineer who will handle the design and implementation of the automotive imaging radar Algorithms stack.

What will you do?
Be part of the team that defines and scales up radar high performance algorithms and make them meet the ADAS and Autonomous Vehicles standards and beyond
Consistently improve radar performance
Design, develop and implement Radar data analysis methodology
Be a knowledge source for automotive radar KPIs
Work closely with different stakeholders that include external customers and internal interfaces like SW, HW, and others

We are looking for an Algorithms Manager who will lead the design and implementation of the automotive imaging radar Algorithms stack.

What will you do?
Lead the team which defines and scales up radar high performance algorithms and make them meet the ADAS and Autonomous Vehicles standards and beyond
Drive and consistently improve radar performance
Identify key areas of Next Generation improvements, recommend research directions and system solutions
Design, develop and implement Radar data analysis methodology
Be a knowledge source for automotive radar KPIs
Work closely with different stakeholders that include external customers and internal interfaces like SW, HW, and others

We are hiring a Senior Robotics Algorithm Engineer to own the algorithmic core of our unmanned surface vessel: everything between a world state and a safe navigation command. Localization, route and path generation, continuous replanning, encounter reasoning, collision avoidance, COLREG-aware behavior and the decision logic that ties them together are yours. The maritime environment is unforgiving and only partly observable. Other vessels do not declare their intent, tracks are noisy, the sea moves under you, and the rules of the road are written for humans exercising judgment.

You will own the algorithmic core end to end. From the moment a world model arrives to the moment the vessel commits to a maneuver, every navigation decision the system makes is one you designed.

What Will You Do?
Own the algorithmic path from world state to safe navigation commands, end to end.
Design and implement global and local planning: route generation, waypoint generation, path following, and continuous replanning as conditions change.
Build collision avoidance for dynamic maritime environments: encounter detection and classification, reasoning about other vessels' course, speed, intent and uncertainty, maneuver selection and timing, and return-to-route logic.
Design mission-level decision logic: continue, deviate, hold, abort, transition to safe state and define the behavior envelope.
Build the data pipeline and own performance in simulation and at sea.

Required Algorithm Engineer (RTB)
As an Algorithm Engineer on the Algorithms team in our Tel Aviv office, youll play a vital role in building machine learning models that power real-time bidding and optimize billions of daily auctions. Youll design and evolve large-scale ML solutions that drive bid optimization, price prediction, win-rate prediction, and auction strategy. Working at the intersection of machine learning, data, and engineering, youll take models from research and experimentation through production, creating solutions that directly impact advertiser performance, publisher revenue, and marketplace efficiency.
How youll make an impact:
Design, train, and deploy machine learning models for bid optimization, price prediction, win-rate prediction, CTR/CVR estimation, calibration, and auction optimization.
Own the full machine learning lifecycle, from research and prototyping through production deployment, A/B testing, monitoring, and optimization.
Build and evolve large-scale ML models serving low-latency, high-throughput production traffic.
Analyze auction and marketplace data to identify modeling opportunities and translate insights into measurable business impact.
Partner with Product, Engineering, and Business teams to translate marketplace goals into scalable machine learning solutions.
Mentor junior engineers and contribute to technical design reviews, code reviews, and deep technical investigations.

Required Senior Algorithm Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior ML Engineer on the Matchmaking and Marketplace R&D unit in our Tel Aviv office, youll play a vital role in building machine learning models that power our real-time auctioneer and optimize billions of daily auctions. Youll design and evolve large-scale ML solutions that drive advertiser bids and expected outcomes for advertisers, publishers and the company itself. Working at the intersection of machine learning, data, and engineering, youll take models from research and experimentation through production, creating solutions that directly impact advertiser performance, publisher revenue, and marketplace efficiency.
How youll make an impact:
Design, train, and deploy machine learning models for CTR/CVR/value prediction
Own the full machine learning lifecycle, from research and prototyping through production deployment, A/B testing, monitoring, and optimization.
Build and evolve large-scale ML models serving low-latency, high-throughput production traffic.
Analyze auction and marketplace data to identify modeling opportunities and translate insights into measurable business impact.
Partner with Product, Engineering, and Business teams to translate marketplace goals into scalable machine learning solutions.
Mentor junior engineers and contribute to technical design reviews, code reviews, and deep technical investigations.

Required Senior Algorithm Engineer (RTB)
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algorithm Engineer on the Algorithms team in our Tel Aviv office, youll play a vital role in building machine learning models that power real-time bidding and optimize billions of daily auctions. Youll design and evolve large-scale ML solutions that drive bid optimization, price prediction, win-rate prediction, and auction strategy. Working at the intersection of machine learning, data, and engineering, youll take models from research and experimentation through production, creating solutions that directly impact advertiser performance, publisher revenue, and marketplace efficiency.
How youll make an impact:
Design, train, and deploy machine learning models for bid optimization, price prediction, win-rate prediction, CTR/CVR estimation, calibration, and auction optimization.
Own the full machine learning lifecycle, from research and prototyping through production deployment, A/B testing, monitoring, and optimization.
Build and evolve large-scale ML models serving low-latency, high-throughput production traffic.
Analyze auction and marketplace data to identify modeling opportunities and translate insights into measurable business impact.
Partner with Product, Engineering, and Business teams to translate marketplace goals into scalable machine learning solutions.
Mentor junior engineers and contribute to technical design reviews, code reviews, and deep technical investigations.