דרושים » תוכנה » Algorithm Engineer

Requirements:
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).
Familiarity with RESTful APIs.
Experience with Git.
Experience with common back-end development tools such as NPM and Webpack.
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:
5+ years of React.js + Javascript experience, including concepts like asynchronous programming, closures, types, and ES6.
5+ years of HTML/CSS experience, including concepts like layout, specificity, cross-browser compatibility, and accessibility.
Experience with popular React.js workflows (such as Redux).
Familiarity with RESTful APIs.
Experience with Git.
Experience with browser-based debugging and performance testing software.
Experience with Jira.
Experience with software like Zeplin, Figma and etc.
Fast learner, highly organized and detail oriented person who has the ability to work on multiple deadlines in a fast-paced atmosphere.
Great English skills.
Advantages:
Experience with Leaflet or Mapbox.
Experience with Next.js.

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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:
M.Sc in quantitative discipline (preferably in Data Science, Computer Science, Mathematics, Statistics, or another related field with a strong emphasis on quantitative analysis).
3+ years of experience in developing and deploying ML models in a production environment.
Knowledge of Data Science techniques, algorithms, and processes.
Excellent analytical and algorithmic skills. Being able to conduct rigorous evaluation, infer conclusions and creatively offer solutions based on data analysis.
Strong ownership and independence skills. Thrive in some tasks as the sole ML expert in a squad, comfortable taking ownership over the full life cycle of models and integrating versatile tasks (ML, data analysis, and Backend).
Excellent teamwork skills.
Effective communication skills to explain complex topics in English.

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:
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:
B.Sc. in Computer Science or equivalent.
5+ years of proven experience in hands-on server-side coding (any OOP language, ex. Node.js, Java, C#, etc.).
3+ years of experience working as part of development teams.
Designing and building the backend of complex in-house systems.
Production experience with SQL databases.
Experience with Agile methodologies while working in teams.
Ability to work closely with the product team and create technical designs based on product specs.
Team player with strong communication skills and the ability to provide mentorship to teammates.
Independent self-learner that knows how to meet deadlines.
Excellent organizational, analytical and problem-solving skills.

Requirements:
7+ years of fullstack experience, with a strong backend focus.
Deep expertise in Python, Node.js, TypeScript, and PostgreSQL (or similar relational DBs).
Proven experience in high-scale data systems, including data ingestion, aggregation, and performance tuning.
Advantage - Experience in ClickHouse DB / OpenSearch
Strong understanding of data modeling, denormalization, and API performance optimization.
Familiarity with React and modern frontend frameworks for connecting and visualizing backend data.
Experience with CI/CD pipelines, Kubernetes, Docker, and cloud-native architectures.
Strong collaboration, communication, and problem-solving skills, you love working across disciplines to deliver impact.
Experience in startups or high-growth environments, where speed, ownership, and quality go hand-in-hand.

Requirements:
5+ years of experience in full stack web development.
Proven experience with Node.js and the Express framework.
Strong proficiency in React and its core principles.
Experience with RESTful APIs and integrating third-party services.
Familiarity with database technologies such as MongoDB, PostgreSQL, or MySQL.
Knowledge of version control systems like Git.
Excellent problem-solving skills and a proactive attitude towards challenges.
Strong communication and collaboration skills.
Ability to work in a fast-paced environment and manage multiple priorities.

Requirements:
BSc in Computer Science or equivalent, MSc/PhD - an advantage
At least 5 years of experience in algorithms development in SaaS company - a must
Experience in Machine Learning / Deep learning / Computer Vision / Algorithm development - a must
Ability to design and develop production-level code
Strong programming skills in Python - must
Experience in designing and implementing production code
Experience with Tensorflow / Pytorch - an advantage
A team player.