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.

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.

We are currently seeking a skilled Algorithm/Signal Processing Engineer to join our R&D team and drive the development of advanced algorithms, perform in-depth signal analysis, and contribute to cutting-edge defense technologies.

Job Description:
The CTO team is tasked with promoting innovative next gen algorithms and sub-systems to meet current and future challenges.

In this role, you will lead R&D initiatives focused on RF Spectrum Detection and Jamming of Drones and communication devices.

Activities include Research, python/matlab simulations, fixed point modeling, Interaction with HW group and RF testing, Proof of concept, field-testing.

We are looking for a Senior Machine Learning Algorithm Engineer who is passionate about solving complex, real-world problems at the intersection of hardware and software.

Location: Tel-Aviv in hybrid model.

Responsibilities
Develop advanced ML algorithms using data from our Agents embedded in silicon. Example domains include:
Lifetime predictions.
Clustering and dimensionality reduction.
Parametric modeling and screening.
Time-series forecasting.
Lead end-to-end algorithm lifecycle: ideation → research → POC → design → implementation → validation → deployment.
Collaborate closely with cross-functional teams and directly with customers to continuously refine and enhance deployed solutions.
Drive integration of AI-enhanced tools and intelligent pipelines into ML workflows.

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.

we are looking for a we are looking for a
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.