דרושים » הנדסה » Senior Algorithm Engineer - IL

Requirements:
BSc in Computer Science or equivalent (required), with an MSc as an advantage.
4+ years of hands-on software development experience, including work with one or more programming languages (Python, Go, Java, etc.).
2+ years of professional Python experience - advantage.
Experience with AWS or other cloud platforms - advantage.
Strong grasp of core software engineering principles: data structures, multithreading, OOP, and design patterns.
Proven experience building and scaling highly available, distributed, large-scale systems.
A fast learner who quickly absorbs new technologies and concepts.
Solid understanding of system design, distributed systems, and software architecture.
Excited about solving algorithmic challenges in transportation, routing, and navigation.
A collaborative team player with excellent communication skills who thrives in fast-paced environments.
Demonstrates strong ownership, driving projects from concept to completion.
Pragmatic and concise: able to break down complex problems into clear, manageable pieces and deliver solutions that are simple, elegant, and impactful.

Requirements:
Required Qualifications:

Minimum of 5 years of hands-on experience in algorithm development using Python

A strong foundation in software engineering principles and clean, efficient coding practices.

Extensive experience with NLP, LLMs, RAG, prompt engineering, and agentic workflows

Experience in the deployment, delivery, and maintenance of AI algorithms in real-world production environments

Strong interpersonal and communication skills; a team player who can work effectively in a cross-functional environment involving product managers, clinicians, and fellow engineers.

Preferred Qualifications:

Experience with AWS

Experience in the medical domain

M.Sc. or higher in Computer Science or a related scientific discipline.

Requirements:
4+ years of experience building machine learning and deep learning solutions end-to-end, from research and experimentation through production.
MSc or PhD in Computer Science, Mathematics, Engineering, Statistics, or a related field, with strong foundations in machine learning, optimization, and statistical modeling.
Experience building machine learning solutions for real-time bidding (RTB), programmatic advertising, pricing, or other large-scale optimization problems.
Strong software engineering skills in Python or Java, with experience developing production ML systems.
Proven ability to take machine learning models from prototype to scalable, high-performance production environments.
Bonus points if you have:
Experience building machine learning models for bid optimization, auction systems, pricing, or large-scale recommendation systems.
Experience using AI coding tools (such as Claude Code or Cursor) to accelerate development, experimentation, and code quality.

Requirements:
4+ years of experience building machine learning and deep learning solutions end-to-end, from research and experimentation through production.
MSc or PhD in Computer Science, Mathematics, Engineering, Statistic, or a related field, with strong foundations in machine learning, optimization, and statistical modeling.
Experience building machine learning solutions for real-time bidding (RTB), programmatic advertising, pricing, or other large-scale optimization problems.
Strong software engineering skills in Python or Java, with experience developing production ML systems.
Proven ability to take machine learning models from prototype to scalable, high-performance production environments.
Bonus points if you have:
Experience building machine learning models for bid optimization, auction systems, pricing, or large-scale recommendation systems.
Experience using AI coding tools (such as Claude Code or Cursor) to accelerate development, experimentation, and code quality.

Requirements:
Core Responsibilities
Design and implement end-to-end data digestion pipelines for complex unstructured and semi-structured inputs.
Integrate classical algorithms with LLM-centric workflows to produce high-quality contextual inputs for reasoning tasks.
Build systems for segmentation, structure extraction, semantic decomposition, embedding-based representations, and graph construction.
Develop agentic workflows that combine tools, retrieval, and reasoning for interactive customer experiences.
Design evaluation suites, datasets, metrics, and regression tests to measure quality, robustness, and performance over time.
Continuously refine workflows based on customer usage, failure analysis, and measurable improvements.
What We're Looking For
Required Qualifications
MSc (or equivalent experience) in Computer Science, Mathematics, Electrical Engineering, or a related quantitative field.
5+ years of experience in data science / algorithm development / applied research engineering roles.
Strong experience building complex algorithmic workflows beyond model calls - including multi-stage pipelines, feature extraction, structure inference, and optimization.
Deep understanding of LLM digestion concepts: RAG, context engineering, chunking strategies, retrieval and ranking, tool usage patterns, and reliability techniques.
Experience designing and maintaining evaluation frameworks for both classical algorithms and LLM workflows (offline + online, regression, benchmarking).
Strong programming skills in Python; familiarity with TypeScript is a plus.
Ability to thrive in a high-ownership startup environment: ambiguity, speed, responsibility, and continuous learning.
Nice To Have
Familiarity with vector databases and scalable retrieval architectures.
Familiarity with agent orchestration frameworks (e.g., LangChain) and tool-driven reasoning systems.
Experience deploying AI workflows into production with monitoring, guardrails, and iteration loops.

Requirements:
Requirements
B.Sc. in Electrical Engineering - MUST.
5+ years experience in algorithm development, preferably in complex, data-intensive environments.
Deep expertise in Python, including statistical and machine learning packages.
Proven experience across all algorithm development phases: research, implementation, testing, deployment, and debugging Familiarity with testing frameworks (e.g., unit tests, E2E tests, performance and memory profiling)
Intensive usage of AI coding tools like Cursor or equivalent (e.g., GitHub Copilot, CodeWhisperer).

Advantage:
M.Sc. or higher in Electrical Engineering, Computer Science, or a related field
Prior experience with:
HW/SW integration or ATE/Chip testing.
Version control systems (e.g., Git) and CI/CD tools.
Distributed compute frameworks (e.g., Spark, MLRun).
Containerization and cloud orchestration (e.g., Kubernetes, cloud APIs).
Business intelligence tools (e.g., Tableau or equivalent).
AI platforms and agents that interface with model training, data annotation, performance monitoring, or autonomous debugging.
Familiarity with chip production or design methodologies.

Requirements:
Experience with recommendations algorithms and how to develop them in scale.
Excellent data analysis skills for improving algorithms based on users' data.
3+ years of Node.js + Javascript experience, including concepts like asynchronous programming, closures, types, and ES6.
3+ years of MongoDB experience.
Experience with AWS (Serverless Framework, API Gateways & Lambdas).
B.Sc in Computer Science or Math.
Familiarity with RESTful APIs.
Experience with Git.
Excellent troubleshooting skills.
Fast learner, highly organized and detail-oriented person who has the ability to work on multiple deadlines in a fast-paced atmosphere.
Team player with strong communication skills who is passionate about being part of a successful team with a "Can-Do" mentality and mindset.

Requirements:
M.Sc./Ph.D. in Computer Science, Electrical Engineering, or a related field from a recognized academic institution; graduated with honors.
Strong background in Visual Transformers.
Up to 1 year of hands-on experience in Deep Learning, including academic or research projects.
Experience in model training, fine-tuning, and neural network architecture design.
Experience with Pytorch framework.
Experience working with large datasets and data preprocessing pipelines.
Strong communication and collaboration skills.
Nice to have: background in LLMs, VLMs, VLAs, or robotics.

Requirements:
4+ years of experience in wireless PHY communication/signal processing.
Deep understanding of Wireless communication systems.
Hands-on experience with MATLAB and Python.
Experience with Fixed point models.
Experience with SDR(Software Defined Radio) - advantage.
Experience with ML/DL - advantage.

Requirements:
Experience with Python, TensorFlow, and computer vision. 5+ years of software development experience.