לוח משרות דרושים מתכנת Python, לחיפוש זה נמצאו 113 משרות

We are looking for an experienced hands-on Python Engineer who can work independently with remote teams (SW, HW, logic,) and create products that will shape the future of Quantum Computers.
The Quantum Computing SDK is the interface through which our customers run our control system. Customers use it to configure their cutting-edge system and run their ground-breaking experiments. Various institutions from world-class universities to hyper-scalers use the SDK to calibrate their delicate QBits, perform Write and Read Quantum Computing Operations and run programs in higher level Quantum Computing languages like OpenQASM3.
Responsibilities:
Develop the software for the company's Quantum Computing SDK.
Take part in all the technical aspects of the SW development from design to delivery.
Work with high standards of SW methodology, clean-code and CI.

we are looking for a Machine Learning Engineer / NLP Specialist.
You will own the quality of the conversation itself. That means the end-of-turn model that decides when a caller has finished speaking, the language detection that follows a mid-call switch, the retrieval that grounds an answer, and - most of all - the evaluation harness that tells us whether any change actually helped.
What you'll do:
Improve turn-taking, barge-in handling and interruption recovery
Own language detection and mid-call switching across 150+ languages
Build evals on real call data that predict production behaviour
Run experiments end to end: hypothesis, offline eval, live A/B, decision
Publish what you find - we write about our results

We are looking for a Software Engineer to join the Research & Infrastructure team in our Security Research group.
You'll build the systems behind our security research and help turn that research into product capabilities. You'll work closely with researchers across the group to understand what they need, and you'll own each solution from requirements and architecture through implementation and delivery.
Our team builds platforms for threat intelligence, malware hunting and attack analysis, along with scalable pipelines for processing large volumes of data. AI tools are part of how we design, build, test and research every day.
Responsibilities:
Own the full development lifecycle of systems and applications: gather requirements, define technical specifications, design the architecture, and build backend services and web interfaces.
Build threat intelligence, malware hunting and attack analysis platforms that support our security operations and its Managed Threat Detection & Response (MDR) service.
Build tools that let researchers investigate threats, develop security content and create detection signatures.
Design the workflows and infrastructure that bring research outputs into our customer-facing products.
Build scalable data processing and analysis solutions on the Cloud data warehouse, automate protocol analysis, and integrate with internal and external services.

We are seeking an exceptional Applied Scientist to join our Prime Video Sports personalization team in Israel. Our team is dedicated to developing state-of-the-art science to personalize the customer experience and help customers seamlessly find any live event in our selection. You will have the opportunity to work on innovative, large-scale projects that push the boundaries of what's possible in sports content delivery and engagement. Your expertise will be crucial in tackling complex challenges such as information retrieval, sequential modeling, real-time model optimization, utilizing Large Language Models (LLMs), and building advanced recommender systems.

Key job responsibilities
We are looking for an Applied Scientist with domain expertise in Personalization, Information Retrieval, and Recommender Systems - or strong general ML fundamentals - to develop new algorithms and end-to-end solutions. As part of our team of applied scientists and software development engineers, you will research, design, develop, and deploy algorithms into production pipelines. You'll work with state-of-the-art technologies in recommender systems and search, and tackle unique challenges like temporal information retrieval to improve real-time sports content recommendations. As a technologist, you will also drive the publication of original work in top-tier Machine Learning and Recommender Systems venues.

Alice is hiring a Senior Software Developer to lead the development of our internal malware research platform. This is a senior, hands-on role with end-to-end ownership of development and delivery. You'll be the technical authority — setting code-quality standards, making the architecture calls, and mentoring the developer team. What makes this role different is who you build for. Our users are our malware researchers, and they use the tool every day. Your job is to sit beside them, learn how they actually work, surface the heuristics and edge cases they carry in their heads, and build agentic tooling that compounds their productivity. The bar isn't "does it ship" — it's "do the researchers reach for it every day." Success is measured in researcher adoption and time saved, not features merged. Agentic workflows are core to how we build. You should be fluent using them and confident designing systems where agents run in production — with clear judgment about where an agent earns its keep versus where deterministic code or a human-in-the-loop is the right call. What You'll Do Lead development and delivery
* Own technical execution end-to-end: implementation, code review, and release.
* Translate research workflows and feature requests into well-scoped tasks with realistic, risk-aware estimates the team can plan against.
* Manage day-to-day execution: unblock people, sequence work, catch problems early.
* Set and defend the technical bar: review rigor, testing discipline, documentation, architectural consistency. Partner with the researchers — and amplify them
* Embed with malware researchers to understand their workflow and capture the tacit knowledge and edge cases no spec ever wrote down.
* Translate that knowledge into reliable agentic tooling — and know when an agent is confidently wrong before it ever reaches a researcher.
* Spend roughly 5–10% of your time doing actual malware research (with structured onboarding) to stay close to how the tool is used.
* Be willing to tell a researcher when a proposed workflow won't automate well — and explain why. Be the technical authority and mentor
* Make the hard architecture and design trade-off calls.
* Mentor through code review, pairing, and design discussions. Raise the level of everyone around you.
* Dive deep on the critical, difficult features and bug fixes yourself.
* Design agentic workflows into the architecture from the start, and build the evaluations and guardrails that keep them trustworthy.

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

We are looking for a mid-level Data Engineer, experienced with building data pipelines using Python and Airflow for structured data and relational databases. The ideal candidate is a self-directed learner, takes ownership of the pipelines they build, and cares about data quality as much as feature delivery.





Key Responsibilities:

Own our data pipelines, including maintenance and adding new features.
Take charge of data integrity and completeness, including writing and maintaining tests.
Improve process efficiency and optimize runtime performance.
Own schema design and evolution across our data pipelines.

We are seeking an experienced Python Tech Lead to join our team. This role requires a skilled professional who can work independently, lead technical initiatives, and engage directly with our clients to deliver high-quality solutions.As a Python Tech Lead, you will be responsible for leading the development and maintenance of robust Python applications while serving as a technical point of contact for our clients. You'll have the autonomy to make architectural decisions, guide technical direction, and mentor team members while managing your projects and driving results.
Responsibilities:
Leading technical architecture and design decisions for Python applications. Working directly with clients to understand their requirements and provide technical guidance. Designing, developing, and maintaining scalable Python applications and solutions. Mentoring team members and conducting code reviews. Managing your own workload and delivering projects independently. Communicating technical concepts clearly to both technical and non-technical stakeholders. Contributing to best practices and technical standards within the team.

Were looking for a Analytics Engineer to own the data and analytics foundation that helps Product, Growth, Customer Success, R&D, and leadership make better decisions.
Youll own the path from raw data to actionable insight - building reliable models, defining key metrics, analyzing product and business performance, and communicating what the data actually tells us.
What youll do:
Analyze product and business performance: Track core KPIs, investigate trends and anomalies, and analyze product usage, feature adoption, customer behavior, funnels, and retention to identify opportunities for improvement.
Turn data into actionable insights: Translate analytical findings into clear recommendations that help Product, Growth, Customer Success, and leadership make better decisions.
Evaluate product initiatives: Measure the impact of new features, product changes, and experiments using appropriate analytical and statistical methods.
Own analytical data models: Develop and maintain reliable, well-structured data models that support consistent metrics, self-service analytics, and trusted business reporting.
Improve the analytics foundation: Contribute to the evolution of our analytics infrastructure, data quality, and tracking in collaboration with Engineering and other stakeholders.
Build and communicate insights: Develop dashboards and targeted analyses, and present findings clearly to technical and non-technical stakeholders, connecting results to business impact.

Were looking for a Senior Software Engineer, to design and build scalable, production-grade systems powering Sensis AI-native platform.
This is an AI-native engineering role- AI copilots and tools (such as Claude, Cursor, and Copilot) are a core part of how we design, prototype, and ship software. Engineers at Sensi use AI as a force multiplier to move quickly, iterate rapidly, and focus their time on architecture, system design, and complex problem solving.
Youll work across multiple services, platform infrastructure, and AI-driven capabilities, owning features end-to-end and helping bring intelligent healthcare products from concept to production.
Key Responsibilities:
AI-Native Development - Design and build scalable systems using AI copilots such as Claude, Cursor, and Copilot as a core part of the workflow.
AI-Powered Features - Develop and integrate AI-driven capabilities and pipelines into production systems.
End-to-End Ownership - Own features from architecture and development through deployment and monitoring.
Cloud Infrastructure - Build and operate scalable cloud-native systems on AWS.
Collaboration & Engineering Excellence - Work closely with Product, Data, and AI teams, contribute to architecture decisions, and help raise the technical bar across the team.

We are seeking a seasoned Backend Tech Lead with a solid background in high-load environments and experience in managing multiple Linux servers. The ideal candidate is someone who thrives in a fast-paced, innovative, and technology-driven culture.
Responsibilities:
Own architecture for high-scale, user-facing backends and data pipelines.
Lead and mentor engineers; guide design reviews, roadmaps, and execution.
Operate production systems with clear SLOs/SLAs, on-call quality, and blameless postmortems.
Evolve our K8s/GPU platform, CI/CD, and observability to increase deployment velocity and resilience.
Integrate and serve ML models (PyTorch, CUDA/TensorRT, Triton) with a focus on throughput and cost.
Partner cross-functionally (ML, Product, Security, Finance) on priorities and cost/perf trade-offs.
Hire, level up the team, and uplevel engineering standards.

At our company, we empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. Were looking for passionate and bright individuals who wish to take part in the design, development and all technical-related aspects of INFINIDATs R&D Department The selected candidate will be part of a professional team that develops in C ++ / Python / JAVA over Linux high-performance, multi-threaded, clustered, mission-critical, server-side products.
Responsibilities:
* Design and development of C ++ / Python / JAVA code according to product requirements.
* Addition of new features, as well as maintenance, refactoring and improvement of existing products and code bases.
* Accountability for code standards, quality and performance.

We are seeking a talented and versatile Senior Threat Detection Engineer to work with us in Herzliya with expertise in iOS and Android security. As a key member of our engineering team, you will play a crucial role in designing and developing complex compromise detection solutions and providing advanced professional services to customers to assist them in determining whether their mobile devices have been compromised.

Responsibilities:
Design and develop mobile focused on-device and off-device malware and compromise detection solutions that enable forensic analysis, including infrastructure, features, classification logic, tools, proof of concepts, heuristics and signatures for Android and iOS devices.
Represent the Company in front of customers by providing advanced professional services including malware and indicator of compromise analysis to determine if devices have been compromised, as well as professional training sessions.
Develop and implement components and features using C, C++, Python, assembly, Java, JavaScript, Go, Rust and other programming languages as needed, while employing secure coding practices and ensuring optimal performance, responsiveness, and cross-platform compatibility in line with product specifications.
Represent the company in front of potential customers and partners by conducting technical demonstrations, participating in meetings and other pre and post sales engagements.
The position may require local and international travel.

Required Software Programmer - LTE/5G Cellular Protocols
Job Description:
Join TNGs R&D team and take part in developing advanced LTE/5G cellular monitoring and spectrum-analysis technologies. The role combines software development, protocol research, RF analysis, and real-world system integration in both lab and field environments.
Responsibilities include:
Development in C/C++, Python, and Bash
Research and analysis of LTE/5G cellular protocols and RF behavior
Building monitoring, detection, and automation tools
Analyzing protocol data, logs, and software code
Working with databases and query languages
Collaborating with multidisciplinary R&D teams and participating in field activities
Turning complex RF and protocol information into operational insights.

If you are a driven professional, a collaborative team player, and eager to make a meaningful impact on millions of lives - join our mission!

Key Responsibilities:

Tackle complex, innovative engineering challenges while actively contributing to the fight against cancer:

Architect and build core backend infrastructure, databases, and new services using Python.

Partner with scientific and data teams to seamlessly integrate complex algorithm modules into our system architecture.

Develop end-to-end features that continuously improve and scale our platform solutions.

Work closely in a cross-functional environment alongside frontend and algorithm engineers, product managers, UX/UI designers, and medical specialists.