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We are seeking an experienced Algorithm Team Lead - Optimization to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.
The Price Optimization (PO) team is where insights become decisions. We work with large-scale customer data and market predictions - like demand forecasts - to drive revenue management decisions that actually move the needle.
At our core, we build and maintain the decision-making engine. That means designing the data pipelines that bring customer data in, and running it through an optimization engine that simulates the market - weighing competition, pricing constraints, inventory availability, predictive models, and each client's unique business policies - to generate the best possible price recommendations. As the final step before recommendations reach the client, quality, reliability, and attention to detail aren't just nice to have. They're everything.
You will lead the team through architecture decisions, development, and deployment of mission-critical systems-while growing and mentoring a high-performing team.
Responsibilities:
Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure.
Design, build, and maintain distributed data processing workflows (batch & streaming).
Drive best practices for data quality, validation, testing, and observability.
Own and evolve our data architecture in alignment with business and product goals.
Manage sprint planning, task breakdown, code reviews, and performance feedback for your team.
Contribute hands-on to key development tasks and architecture decisions.
Recruit, mentor, and grow the data science engineering team.

We are seeking an Algorithm Team Manager to join the DMD Algorithm Group. In this role, you will lead a team of algorithm developers responsible for developing advanced modeling, signal-processing, optimization, and machine-learning solutions for our semiconductor metrology products. You will combine strong technical leadership with people leadership and delivery ownership, driving algorithmic solutions from early research and feasibility through productization, customer deployment, and continuous improvement.
Responsibilities
What will you be doing:
Manage, mentor, and develop a team of algorithm developers, building strong technical ownership, collaboration, and execution excellence.
Lead the delivery of high-impact algorithmic projects for DMD products and applications, from concept and feasibility through implementation, integration, validation, and release.
Define technical direction, priorities, milestones, and resource allocation across multiple parallel R&D activities.
Drive the development of advanced physical modeling, data-analysis, optimization, signal-processing, and machine-learning algorithms.
Work closely with Systems, Physics, Software, Applications, Product, and Program teams to translate product and customer needs into robust algorithmic solutions.
Ensure algorithm quality through clear requirements, sound architecture, code reviews, testing, performance analysis, documentation, and maintainable development practices.
Support product integration, customer evaluations, and escalations, including analysis of complex field and fab data.
Identify technological gaps and opportunities, initiate innovative solutions, and contribute to the DMD algorithm and product roadmaps.
Communicate project status, risks, trade-offs, and recommendations clearly to technical and management stakeholders.

We're looking for a Senior Algorithm Developer with a strong algorithmic background in both classical and deep learning methods.

What Youll Do
Develop, release and improve algorithms and models for recommending the best machining operations that balance customer valued KPIs such as machining time, machining tolerances and tool wear.
Dive deep into the CNC machining domain to cultivate intuition to inform your algorithm development decisions.
Collaborate with the Product team to discover and drive improvements in our human-AI interface.
Own your models in production. Validate your solutions against real-world machining scenarios and customer parts.
Research novel approaches to continuously improve our core technology.

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.

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.

We are looking for an experienced Senior Deep Learning Engineer with proven capabilities to lead the development of state-of-the-art computer vision products from concept to production. In this role, you will be a part of a highly talented R&D team driving the core of inspection portfolio, while researching and implementing diverse Machine and Deep Learning algorithmic solutions to solve complex, real-world visual challenges.
A day in the life and how youll make an impact:
Design and Development of novel, robust and efficient Machine Learning/ Deep Learning algorithms for major Vision challenges.
Create Proof of Concepts (PoC) for new products and technologies, transitioning research-grade ideas into scalable, production-ready systems.
Evaluate, benchmark, and profile different algorithms on unique, large-scale proprietary datasets, while driving data-centric AI methodologies (active learning, data curation).
Collaborate with infrastructure, MLOps, and hardware teams to define future technology, features, and optimize models for real-time inference constraints (on Edge/Cloud devices).

we are a leading manufacturer of medical imaging devices. our companys Point of Care Ultrasound Algorithm team is looking for an experienced AI Algorithm Developer to take ownership of challenging imaging and guidance problems.
You will develop algorithms that connect physical imaging processes, clinical needs, and product behavior. The role combines hands-on algorithm development with independent technical judgment, close collaboration across disciplines, and responsibility for delivering reliable results.
We are looking for someone who wants to understand why a solution works, recognize where it fails, and take responsibility for improving it.
Job Description
Responsibilities
Independently own algorithm workstreams, from understanding the problem and defining the technical approach through implementation, evaluation, and integration.
Translate clinical and product needs into clear algorithm requirements, measurable success criteria, and practical development plans.
Develop solutions combining deep learning, computer vision, image processing, and mathematical modeling, selecting methods appropriate to the problem.
Understand how imaging physics, acquisition geometry, artifacts, and system constraints affect the data and algorithm behavior.
Define data and annotation requirements, design reproducible experiments, investigate failure cases, and use findings to guide improvements.
Work with software, imaging, clinical, and product teams to resolve dependencies and balance accuracy, robustness, latency, and computational requirements.
Use generative AI tools thoughtfully to accelerate research, coding, testing, and analysis, while verifying outputs and retaining responsibility for technical decisions and results.
Deliver maintainable code and clear technical documentation supporting integration, verification, and regulatory activities.

We are looking for a Principal Algorithm Developer with experience in NLP and LLMs, who is a highly motivated, collaborative, and results-driven individual who can work both independently and as part of a multidisciplinary team. The ideal candidate has a strong can-do attitude, excellent problem-solving skills, leadership skills, and a passion for leveraging AI to solve meaningful challenges in text analysis in the medical domain.

As part of the AI team you will:

Design, develop, implement, and evaluate robust, scalable AI algorithms and agentic workflows & infrastructure, tailored to real-world challenges in clinical settings.

Prepare, process, and analyze complex medical data to support algorithm development and validation.

Ensure the reliability, performance, and accuracy of algorithms in production, including troubleshooting, testing, monitoring, and continuous improvement.

Collaborate closely with Product Managers and Clinical Specialists to translate clinical and business needs into data-driven solutions.

Research, develop and integrate Large Language Models (LLMs) to extract insights from medical texts and develop intelligent agents for optimized clinical decision support.

Lead development and drive technical decisions that impact your technical domain and related systems across the organization.

Mentor and develop algorithm developers through technical guidance & design reviews.

Stay up to date with cutting-edge advancements in GenAI, LLMs, and Deep Learning.

Organize and actively participate in seminars, book clubs, and conferences.

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.

Develop the optimization and computational-geometry algorithms at the core of us: for researchers who love hard, non-convex problems.

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 looking for a talented Algorithm Engineer to join our team and help shape the next generation of products.

In this role, you will develop and optimize algorithms for database operations running on our hardware accelerator, improve performance, and enable new capabilities.

You will gain a deep understanding of the entire stack from systems and applications to software and hardware and work across different parts of the codebase.

Responsibilities:

Researching state-of-the-art algorithms and techniques for data analytics and hardware acceleration

Implementing these algorithms in software, then simulating and optimizing their performance

Working closely with software and hardware engineers

Participating in design reviews and contributing to key design decisions

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.

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.