דרושים » תוכנה » Algorithm R D Engineer

BIRD Aerosystems is seeking a Radar Algorithm Engineer to join our team and contribute to the development of advanced radar systems. The ideal candidate will be responsible for designing, implementing, and optimizing radar algorithms to enhance detection and tracking capabilities.
Responsibilities:

* Design and develop radar signal processing algorithms.
* Optimize existing radar algorithms for performance and accuracy.
* Collaborate with cross-functional teams to integrate algorithms into radar systems.
* Conduct simulations and analyses to validate algorithm performance.
* Participate in field tests to evaluate and refine algorithms.
* Document algorithm designs and implementation details.

In this role, you will operate as a company-level expert in product analytics, partnering with Product, Engineering, and cross-functional leadership to translate complex, large-scale behavioral data into actionable insights that shape the experiences of billions of people worldwide. You will lead the design of rigorous analytical frameworks, advance forecasting and predictive modeling capabilities, and influence the highest-priority product investments through data-driven storytelling and strategic recommendations.
Data Scientist, Product Analytics Responsibilities
Lead the design and execution of complex analytical projects across product areas, applying advanced statistical methods, causal inference, and experimentation to evaluate product impact at scale
Develop and maintain sophisticated predictive models and forecasting frameworks to inform product roadmaps, goal setting, and resource prioritization
Define and evolve success metrics and measurement strategies for product initiatives, ensuring goals accurately reflect user and business value
Identify and size high-impact product opportunities by synthesizing behavioral data, qualitative signals, and business context across multiple data sources
Partner with Product and Engineering teams to design and analyze large-scale A/B tests and feature rollouts, translating results into clear recommendations for product direction
Build scalable, self-service data pipelines and visualization interfaces that enable cross-functional teams to explore and act on product performance data independently
Communicate complex analytical findings to diverse audiences including product leadership and executives through concise, compelling data narratives and presentations
Contribute to functional data science strategy by proactively identifying methodological gaps, championing analytical best practices, and setting goals across teams
Mentor other data scientists on analytical design, hypothesis formulation, and quantitative modeling, elevating the overall quality and rigor of the team's work
Collaborate with Data Engineering and Research partners to improve data infrastructure, eliminate bias in data collection, and ensure analytical outputs accurately represent the populations of interest

We are looking for a Staff Algorithm Engineer to join our core Algorithm team
What You'll Do



Research and implement novel computer vision and algorithmic solutions for challenging real-world problems - spanning perception, learning, optimization, and graph-based reasoning.
Own algorithm quality end-to-end: design experiments, evaluate results, and drive iterations until production reliability targets are met.
Work across disciplines - sharing models, methods, and insights with algorithm, data engineering, and product teams.
Monitor production model health proactively; identify degradation early and lead remediation efforts.
Integrate AI tools into your workflow and grow into the role of architect and team lead - designing the solution, then directing agents to build it.
Raise the bar on the team's technical culture through code reviews, knowledge-sharing, and rigorous algorithmic thinking.

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.

We are looking for a senior computer vision engineer: a hands on individual contributor whose work will be broad and touch many projects across the group, to lead long-term research initiatives and POCs that shape the technical direction of our technology.
What will your job look like:
Lead long-term applied research and POCs that determine the direction of our perception and autonomy technology.
Design and implement modern end-to-end perception and multi-modal learning systems across diverse vision tasks (e.g., detection and tracking, 3D reconstruction, multi-camera fusion, motion prediction).
Translate research innovations into high-quality, validated POCs designed for adoption by production teams and deployment within autonomous vehicle platforms.

Required Deep Learning Algorithm Engineer | Learned-Policy Group
About the team:
Build the intelligence behind the next driving decision.
Were developing learning-based driving policies for complex, real-world
scenarios. Were looking for an engineer who can turn model ideas into reliable
algorithms that run as part of our driving systems.
Youll work across model development, training, evaluation, and integration.
Youll analyze model behavior, improve the data and training process, and work
with other teams to validate performance in simulation and on real vehicles.
This is a high-impact role with direct influence on a core part of our
driving technology and its future products.
What will your job look like?
Develop and improve deep learning models for planning, decision making, and driving behavior.
Work across the full development cycle, from research papers and
prototyping models to building data and evaluation tools, debugging
infrastructure, and supporting deployment.
Design training and evaluation workflows, including metrics for safety,
progress, comfort, interaction quality, and robustness.
Analyze model behavior and failure modes, run experiments, and use the results to improve models and data.
Collaborate with control, simulation, data, and other algorithm
teams to integrate and validate new capabilities.

As an Agentic AI & Algorithms Team Lead, you will lead a high-caliber team of AI engineers while staying hands-on in the codebase (~50%). You will also act as the Solution Architect for the algorithmic product, working closely with the CTO and VP Product with core influence on the product roadmap.

The AI is the core of the product, and the AI itself is the decision-maker. It performs diagnosis and root-cause analysis on complex, multi-source data (spectral, time-series, tabular, and more) to produce the conclusions the product delivers.

Key Responsibilities
Lead and mentor a focused team of algorithm engineers and data scientists building AI Agents for production-grade, decision-making systems.
Own the Agentic AI solution architecture at the core of the company's flagship product: ensure the accuracy required for mission-critical decisions, design robust guardrails, and control token consumption and cost.
Act as Solution Architect: turn ambiguous customer or internal ideas into a concrete technical specification and a working implementation.
Spend ~50% of your time writing code, focused on high-risk, critical milestones such as researching and building POCs for novel algorithmic approaches.
Work directly with the CTO and VP Product to align the algorithmic strategy with the product roadmap and core capabilities, given the deep impact this role has on both.
Work directly with industrial domain experts to translate their specialized knowledge into the AI's decision logic.