AI Algorithm Engineer - Localization Team

חברה בתחום הייטק / חומרה / תוכנה / סייבר

04/05/2026

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AI Algorithm Engineer - Localization Team

מיקום המשרה: רמת גן

סוג משרה: משרה מלאה

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6 ימים

Computer Vision Algorithms Developer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

we are a global leader in autonomous driving technologies and advanced driver-assistance systems (ADAS). Our cutting-edge solutions, including the EyeQ chip, our company SuperVision, our company Drive, and our company Chauffeur, leverage computer vision and machine learning to enhance vehicle safety and enable self-driving capabilities. Integrated into millions of vehicles worldwide, our technology is redefining the automotive industry and driving the evolution towards smarter, safer, and more autonomous mobility.
In our group, we research, develop, and deploy state-of-the-art lidar based techniques to achieve world-class results, enabling the safe development of Autonomous Driving features and Advanced Driver Assistance Systems.
This role requires working at our Jerusalem offices 2 days per week.
What will your job look like:
Research, design, develop, and implement lidar based algorithms in both Python and C++ for solving complex problems
Evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
Examine your algorithms on large-scale real-world data from our data collection vehicles across the globe
Collaborate with cross-functional teams to understand requirements and develop solutions
Optimize existing algorithms to improve performance and scalability.

Requirements:
M.Sc. in Computer Science, Electrical Engineering or a related field
3+ years of experience in developing Computer Vision algorithms
Strong statistical analysis, mathematical, and problem-solving skills
Ability to learn new technologies and techniques
Independence, creativity and a proactive approach
Experience with the automotive industry is an advantage.

This position is open to all candidates.

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7 ימים

Senior Deep Learning Algorithm Developer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

we are a global leader in autonomous vehicle (AV) technology, pioneering advanced driver-assistance systems (ADAS) and self-driving solutions.
Across the company, Senior Deep Learning Algorithm Developers work at the forefront of AV/ADAS innovation - designing, training, and optimizing deep neural networks for tasks such as perception, mapping, and scene understanding. This includes working with large-scale datasets, leveraging frameworks like PyTorch or TensorFlow, and applying state-of-the-art techniques to tackle complex perception and decision-making challenges in real-world driving scenarios.
At our company, Senior Deep Learning Algorithm Developers contribute across multiple AI domains, with most opportunities in Computer Vision and additional roles in areas such as NLP/LLMs and 3D Perception (Radar, LiDAR, Fusion). This role serves as a central entry point, enabling us to align your expertise and aspirations with the projects and teams where you can make the greatest impact.
What will your job look like?
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Analyze large datasets to improve algorithm performance and robustness.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms.

Requirements:
M.Sc. in Computer Science, Electrical Engineering, Mathematics or Physics (Ph.D.- advantage)
5+ years of experience developing deep learning algorithms in Python, including end-to-end pipeline implementation (data preparation, training, validation, and analysis).
Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch.

This position is open to all candidates.

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8699049

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7 ימים

Senior ML Data Engineer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

The AI Engineering group builds modern infrastructure and solutions that improve how algorithms are developed at our company.
We are a small, independent team of experienced engineers with a mix of skills in algorithms, software, and infrastructure. We work in a DevOps style and build cross-team solutions that support research and development of advanced perception algorithms.
Our flagship project is a unified AV dataset used to train and evaluate next-generation models. We take large volumes of multi-camera video, object labels, HD maps, and sensor data from across the organization, and turn it into a curated, high-quality training set - at scale.
We are looking for someone who brings ML and computer-vision depth to the team - someone who can help shape the intelligence layer that decides what data is worth training on.
What will your job look like:
Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you will contribute across the full stack alongside the rest of the team.
Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

Requirements:
4+ years in data engineering or backend/software engineering with serious data work - pipelines that run in production, not just notebooks.
Strong Python and the PyData stack (NumPy, PyArrow, Pandas, DuckDB).
Some background in research, algorithms, or ML - enough that you can read a paper, understand a model's outputs, and have informed conversations with algorithm engineers.
Comfort working with vision-model outputs as data: embeddings, detection results, VLM responses.
Ability to work across team boundaries - this role lives between algorithm teams, infra teams, and our own.
Experience with autonomous-driving datasets or perception pipelines.
3D geometry and camera model intuition (or the mathematical background to ramp up).
Workflow orchestration (Argo, Airflow, Kubeflow).
Vector databases or columnar analytics (LanceDB, DuckDB, Parquet at scale).
Familiarity with curation concepts (active learning, hard-example mining, distribution balancing) - useful context, not a requirement.
Exposure to LLM agents or agentic workflows for data tasks.

This position is open to all candidates.

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8699030

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6 ימים

Algorithm Researcher (CTO Team)

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

our companys CTO Group is looking for experienced Algorithm Researchers and Developers to join our team!
Which department will you join?
The CTO Group is a small, elite group, whose goal is to build next-generation algorithmic solutions powering our companys self-driving car, crowd-sourced HD maps, and advanced driver-assistance systems.
The group is primarily focused on the decision-making module of our company's self-driving car. It leverages a wide range of algorithmic approaches, rigorous formal definitions, and mathematical modeling- enriched by insights drawn from large-scale data and real-world driving experience.
The group is comprised of top-notch developers and researchers and is headed by world-class scientists.
This is a unique opportunity for a passionate technical leader to join the CTO Group, work closely with the CTO on next-generation projects, develop POCs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community.
What will your job look like:
Research, design and develop innovative algorithmic solutions.
Mathematical modeling and abstraction of real-life problems.
Code design, implementation, and hands-on development.

Requirements:
5+ years of experience in algorithm development
Outstanding MSc graduate in Computer Science, Computer Engineering, Mathematics, or Physics.
PhD- advantage.
Strong coding skills in C++ and Python.
Outstanding mathematical capabilities
Capable of self-learning scientific articles.

This position is open to all candidates.

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8700779

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02/06/2026

AI /Algorithms

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

We are looking for a strong Senior Software Developer to help build the algorithmic core of our platform. This role is ideal for a hands-on engineer with deep Python expertise, strong algorithmic thinking, and excitement about applying the latest AI, LLM, and agentic capabilities to real-world optimization problems.

You will work on systems that improve bidding, budget allocation, keyword strategy, audience optimization, and other core levers of marketplace and advertising performance.

What Youll Do

Design, build, and improve algorithms across bidding, budget allocation, keyword optimization, audience optimization, and related areas

Work closely with product, data, and engineering teams

Build systems that leverage the latest LLMs and agentic workflows as part of intelligent optimization and automation

Help shape the technical direction of the optimization engine and broader AI-driven platform

Contribute to architecture, code quality, testing, and deployment best practices for algorithmic Python systems

Requirements:
5+ years of hands-on Python development experience

Proven experience building algorithms, optimization logic, or decision systems

Strong software engineering fundamentals, with the ability to design, build, test, debug, and maintain high-quality production systems

Strong SQL and database expertise, including experience with relational and non-relational databases such as Postgres, MongoDB, and Redis

Familiarity with modern cloud and engineering environments, including AWS, Docker, Kubernetes, CI/CD, and Git

Experience working with modern LLM tools, prompt engineering, or LLM-based systems

Experience with monitoring and visualization tools, and comfort working in agile development environments

Strong analytical mindset, high ownership, and a real passion for solving problems and delivering value

Degree in Computer Science and/or Mathematics from a reputable university

Strong Pluses

Experience working with Claude

Experience building or working with agentic systems / AI agents

Experience with Java (Spring / Spring Boot)

Familiarity with search advertising and performance marketing

What We Are Looking For

A strong builder who enjoys solving hard algorithmic problems

Someone who can move between research-style thinking and production implementation

High ownership and startup mindset

Comfortable working in a fast-moving environment with ambitious goals and real product traction

Excited about combining Python, algorithms, data, and the latest AI tools to create a category-defining product

This position is open to all candidates.

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8676843

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10/06/2026

AI Infrastructure Engineer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

Required AI Infrastructure Engineer
Description
We are building its internal AI infrastructure layer from the ground up. We have real agents running in production, a growing base of employees using AI in their daily work, and a clear architectural direction. What we don't have yet is a dedicated engineer to own it.
You'll be the first. Your job is to close the gap between "working prototype" and "production platform" - owning the foundation that hosts our agents, the pipelines that ship them, and the reliability layer (observability, cost controls, audit trails, evals) that makes it safe to run AI at scale in a trust & safety company.
This is an infrastructure-first role with deep AI fluency - not a prompt engineer, not a wrapper-framework operator, not a no-code builder. You should be equally comfortable writing a Terraform module, debugging a Kubernetes pod, and tracing an agent's tool-call chain.
We dont operate with a predefined backlog here; you will be responsible for identifying high-impact needs and bringing them to life. The perfect fit for this role has a track record of deploying agentic systems that have held up under real-world usage, balances a focus on infrastructure with a deep concern for user experience, and recognizes that the primary hurdle in AI integration is rarely the model itself.
Responsibilities:
Platform & Infrastructure:
Architect, build, and run the AWS/Kubernetes platform that hosts our internal AI agents and tools; drive AWS Well-Architected pillars (operational excellence, security, reliability, performance, cost, sustainability).
Own Infrastructure-as-Code: Terraform modules, standards, and reviews for Bedrock, agent runtimes, vector DBs, and supporting services.
AI Systems:
Design and ship production-grade agents and multi-agent pipelines using the Anthropic Agent SDK, Claude Code, AWS Bedrock, and MCP - not wrapper frameworks.
Own the full agent lifecycle: scoping → prototyping → eval → deploy → monitor → iterate.
Integrate agentic workflows into internal and product systems via APIs, databases, webhooks, Slack, and email.
Reliability, Observability, Cost:
Build first-class observability across apps and infra: OpenTelemetry, Prometheus, plus LLM-specific tracing (Langfuse or equivalent), token/cost metrics, and eval pipelines.
Define SLOs/SLIs and error budgets for AI services - latency, model fallback chains, eval regression gates, agent success rates. Lead incident readiness, response, and post-mortems.
Drive FinOps: model routing by cost, cache hit rates, batch vs. realtime tradeoffs, budget alarms, per-team chargeback visibility.
Implement guardrails: prompt-injection defenses, PII redaction, model allowlists, human-in-the-loop checkpoints, audit trails.
Org Impact:
Identify high-leverage workflows across the organization and translate them into scalable agentic automations.
Partner with R&D, Delivery, security, and external vendors to deliver platform capabilities.

דרישות:
Requirements (must-have)
3-5 years in software engineering, shipping and operating production-grade systems.
2+ years hands-on AWS, Kubernetes, and Terraform in production - not familiarity, ownership.
1-2 years hands-on building and deploying LLM-powered or agentic systems in production.
Proficiency in Python: async patterns, REST APIs, cloud-native architecture.
Production experience with native agentic SDKs (Anthropic Agent SDK, Claude Code) and MCP - tool-calling patterns, server configuration, memory systems, vector DBs.
Hands-on AWS Bedrock for model access, IAM-based auth, and enterprise deployment patterns.
Production CI/CD ownership (GitHub Actions, Argo CD, or equivalent) and observability stack experience (OpenTelemetry + Prometheus, plus LLM tracing).
Proven ownership: design → implement → release → operate → improve, independently and within a team.
Strong debugging instincts across multi-step agent chains and distributed המשרה מיועדת לנשים ולגברים כאחד.

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8688629

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7 ימים

ML Software Engineer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

we are seeking a strong ML Software Engineer to join our deep learning LiDAR & Radar group and help scale the systems that bring cutting‑edge perception models into production. Youll build the software layers, data pipelines, and runtime systems that turn advanced neural networks into reliable, high-performance solutions running on edge devices.
This is a hands-on, high‑ownership role within a growing group working closely with algorithm developers. The work spans Python and C++, ML infrastructure, model integration, performance optimization, and production delivery.
** The role includes working on-site at our Jerusalem office several days per week.
What will your job look like:
Lead end-to-end development of features - from design and implementation to integration, testing, and deployment
Build ML pipelines for data-based diverse dataset creation and efficient model inference
Design data selection and sampling strategies to ensure coverage of rare and critical scenarios
Partner with algorithm teams to translate model weaknesses into data curation criteria
Develop validation and diagnostics to measure dataset quality-not just pipeline health but training effectiveness
Integrate neural network models into C++ production systems, including runtime, data flow, and pre/post‑processing
Bring models from research/prototype stage into robust, production‑ready deployments
Optimize runtime performance (latency, memory, and throughput) in resource‑constrained environments
Contribute to deployment flows (e.g., model conversion, profiling, optimization)
Build and improve CI/CD pipelines, automated testing, and development workflows.

Requirements:
B.Sc. in Computer Science, Software Engineering, or equivalent
3+ years of hands-on C++ development experience
3+ years of hands-on Python development experience, including the PyData stack (NumPy, Pandas)
Experience working in Linux environments
Strong motivation to work closely with deep learning algorithms and production of AI systems
Interest in neural network deployment on edge devices, including inference runtimes, performance optimization, and model integration
Proven ability to work across team boundaries (algorithms, infra, product)
Strong motivation to work on production AI systems and deep learning integration
Interest in edge deployment, inference runtimes, and performance optimization
Advantages:
Experience with autonomous-driving datasets or perception pipelines
Background in 3D geometry and/or strong mathematical foundation
Experience with workflow orchestration tools (Airflow, Argo)
Familiarity with data curation techniques (e.g., active learning, hard example mining, distribution balancing)
2+ years in data engineering or backend systems with large‑scale data (production environments).

This position is open to all candidates.

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8699125

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03/06/2026

AI Automation & Agent Engineer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time and Hybrid work

As we scale our portfolio of live automations, were looking for an experienced AI Automation & Agent Engineer to take on a broad and high-impact role. Youll lead new automation projects from ideation to production, own the reliability of existing systems, and serve as the go-to expert helping our employees get the most out of AI tools - especially Claude Code. This is a hands-on, cross-functional position at the center of how we adopt and scale AI internally.
Responsibilities
Lead Automation Projects:
Partner with department leads across sales, support, finance, and HR to identify high-impact AI and automation opportunities.
Design and build LLM-based workflows, integrating APIs, MCP servers, and internal tools.
Develop agent-like automations and internal copilots that augment decision-making and execution.
Own the full lifecycle - from ideation and process design through development, testing, and production launch.
Present project plans, progress updates, and outcomes with measurable impact to stakeholders at all levels.
Build AI Systems & Integrations:
Build robust, maintainable workflows using N8N, Claude Code, and other orchestration tools.
Integrate across systems using REST APIs, webhooks, and external/internal tools.
Design reusable patterns for skills, agents, and workflows that can scale across teams.
Continuously evaluate and adopt new AI tooling, MCP capabilities, and agent frameworks.
Maintain & Improve Live Systems:
Monitor, triage, and resolve issues across all live AI automations, copilots, and agents.
Identify recurring failure patterns and implement systemic improvements to reliability, performance, and cost.
Ship incremental improvements and new capabilities quickly and safely.
Maintain clear documentation for workflows, agents, and system behavior.
Drive AI Adoption, Skills & Governance Across:
Act as the internal expert and first point of contact for employees using Claude Code and AI tools.
Help teams build and scale AI skills - from basic usage to advanced workflows and agent design.
Manage and optimize AI usage and performance across the organization (tokens, costs, reliability, adoption).
Build and evolve an internal AI control tower - providing visibility into usage, performance, governance, and impact.
Run onboarding sessions, workshops, and create practical guides that empower teams to work independently with AI.
Guide teams through MCP integrations, tool configurations, and best practices.
Stay current on Claude Code updates, new MCP capabilities, and emerging AI tooling - and proactively share relevant developments with the team.

Requirements:
Must-haves:
3+ years of experience in a technical role in software development, data analyst or AI/ML operations.
Proven ability to lead projects end-to-end, from requirements to production.
Hands-on experience building LLM-based workflows, automations, or agents.
Strong experience with workflow tools (N8N, Zapier, Make, Temporal, or similar).
Solid coding skills in Python and/or JavaScript.
Experience integrating systems using APIs, webhooks, and structured data (JSON).
Strong communication skills - able to work closely with non-technical teams and translate needs into solutions.
Nice-to-haves:
Experience building internal copilots or AI-powered tools.
Familiarity with multi-agent systems, MCP ecosystem, or orchestration frameworks.
Experience defining best practices, patterns, or frameworks for AI usage.
Background working across business domains (sales, finance, support, HR)
Experience enabling AI tool adoption - training, documentation, or internal consulting for business teams.

This position is open to all candidates.

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8678758

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7 ימים

Experienced Software Engineer - ML Platform

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

our company's ML Platform group builds and operates the core infrastructure that powers large-scale AI workloads across on-prem bare-metal GPU clusters and multi-cloud environments. Our goal is to deliver the modern infrastructure and tooling that accelerates our company's entire algorithm development lifecycle - from a researcher's first experiment to a production deployment.
We are a small, independent group of engineers with diverse skills across software, infrastructure, and systems. We set the standards, build the cross-company products, and take end-to-end ownership of everything we ship.
What will your job look like?
Design, develop, and maintain the Python framework that enables algorithm developers across our company to train, validate, quantize, and deploy deep learning models - locally, on-prem, and across cloud providers - through a single unified interface
Build high-performance data streaming libraries that feed large-scale distributed training pipelines in Rust with Python interfaces
Set the standard for reliable, reproducible research at scale - experiment tracking, configuration management, checkpoint handling, and multi-node training
Work directly alongside algorithm researchers to understand friction, propose solutions, and ship them - without layers of process in between
Contribute to open source when the right fix/feature belongs upstream.

Requirements:
A value-first mindset focused on shipping early and often
2+ years of hands-on experience as a software engineer in the industry or in a similar relevant role
B.Sc. in Computer Science, Software Engineering, or equivalent hands-on experience
Strong software engineer skills in Python - tested, production-grade code that other engineers can build on
Familiarity with deep learning frameworks (ideally Pytorch) and distributed training workflows
Experience with containerization and CI/CD pipelines
Contributions to open source projects
Familiarity with Linux internals - networking, file systems, process management
Experience in Rust/C/Cuda
Experience with cloud infrastructure (AWS or similar) and distributed storage
Exposure to infrastructure-as-code or Kubernetes-based deployments.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8699142

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אירעה שגיאה בשליחת פרטיך למשרה

17/05/2026

Senior AI Researcher - Applied Models

חברה חסויה

Location: Ramat Gan

Job Type: Full Time and Hybrid work

We are looking for a Senior AI Researcher to work closely with our delivery team, translating real-world clinical and scientific questions into rigorous AI and machine learning solutions. In this role, you will lead the development of methodologies, models, and benchmarking frameworks that address complex clinical problems using our unique immune-cell data. Your work will directly impact how our partners understand biology, evaluate hypotheses, and make decisions.

Location: Ramat Gan (hybrid model).

What will you do?
Partner with the collaborations team and scientists to frame complex clinical and biological questions as well-defined data science and modeling problems.
Design, implement, and evaluate the right analytical and modeling approaches for each problem, including robust benchmarking and validation strategies.
Clearly communicate results, limitations, and tradeoffs to internal teams and external partners, enabling confident, data-driven decisions.
Establish best practices for rigor, reproducibility, evaluation, and documentation across delivery-focused data science work.
Work hand-in-hand with immunologists, computational biologists, AI scientists, and engineers to ensure solutions are scientifically sound and production-aware.
Translate modeling solutions into engineered and iterable products used by the internal collaborations team.

Requirements:
Required qualifications:
MSc or PhD in Computer Science, Statistics, Mathematics, Machine Learning/Data Science, Physics, Computational Biology, or a related field
At least 4 years of industry experience.
Strong foundation in machine learning - neural networks/classical machine learning.
Hands-on experience with Python-based data science and ML tooling.
Proven experience working with large, complex datasets (biological data preferred).
Experience with MLOps/DataOps practices for robust and reproducible ML training and evaluation pipelines, including experience with benchmarking tools and pipeline optimization.
Experience in statistics, probability, mathematical modeling and experimental design - preferred.
Experience using transformer-based models for applied solutions - preferred.
Experience in biotech, life sciences, or healthcare - preferred.

Desired personal traits:
You want to make an impact on humankind.
You prioritize We over I.
You enjoy getting things done and striving for excellence.
You collaborate effectively with people of diverse backgrounds and cultures.
You have a growth mindset.
You are candid, authentic, and transparent.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8653666

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