דרושים » תוכנה » Software Engineer, Product

we are looking for a Software Engineer to build and scale product experiences used by billions of people across our company, Instagram, WhatsApp, and Messenger. In this role, you will own the full software development lifecycle for consumer-facing or platform-level features, partnering closely with product management, design, and data science to define requirements, architect solutions, and ship high-quality, reliable systems at global scale.
Software Engineer, Product Engineering Responsibilities
Design, build, and maintain scalable full-stack product features across web and mobile platforms, from API design through front-end implementation
Own the technical design of product systems, evaluating architectural trade-offs to meet well-defined business requirements and drive engineering value
Instrument features with telemetry, dashboards, and alerting to establish observability before and during rollout, and use data to drive product and performance decisions
Run and review experiments using A/B testing frameworks to validate product hypotheses and make data-informed decisions that balance short-term goals with long-term quality
Manage staged feature rollouts using feature flagging systems, proactively monitoring for regressions and driving mitigation during incidents
Identify and resolve complex bugs across the stack, including non-reproducible and multithreaded issues, and implement defensive programming practices to prevent recurrence
Collaborate with product managers, designers, and data scientists to translate product requirements into technical specifications and executable engineering plans
Drive improvements to engineering efficiency by identifying bottlenecks in team workflows, building tooling and automation, and completing migrations that eliminate legacy code
Mentor other engineers on the team by sharing technical feedback, identifying growth areas, and contributing to code review standards and best practices
Proactively incorporate privacy, security, and integrity principles into early engineering stages and partner with cross-functional teams to ensure appropriate safeguards are in place.

we are seeking a Software Engineer to design, build, and scale the foundational systems infrastructure that powers products used by billions of people worldwide. In this role, you will work across the systems stack - spanning distributed systems, storage, networking, runtime environments, and platform services - to deliver reliable, high-performance infrastructure that enables product teams to move quickly and safely at scale. You will own technical design and execution across complex, cross-cutting systems projects, partnering closely with engineers across the organization to drive engineering excellence and long-term platform health.
Software Engineer, Systems Responsibilities
Design and implement scalable, reliable systems infrastructure components spanning distributed computing, storage, networking, or runtime environments
Own end-to-end technical design for systems-level projects, evaluating architectural trade-offs and driving decisions that balance performance, reliability, and maintainability
Instrument systems with telemetry, dashboards, and alerting to establish visibility into performance bottlenecks, reliability regressions, and failure modes
Lead incident response and root cause analysis for production systems issues, authoring retrospectives and driving follow-up improvements to prevent recurrence
Define and enforce service level objectives for owned systems, building debugging runbooks and mitigation playbooks to reduce mean time to resolution
Collaborate with cross-functional partners across product engineering, infrastructure, and security to ensure systems designs meet privacy, security, and integrity requirements
Drive engineering efficiency by identifying development bottlenecks, building internal tooling and automation, and completing migrations that eliminate legacy technical debt
Mentor other engineers on systems design principles, coding standards, and operational best practices, and contribute to recruiting and technical program efforts
Analyze performance profiles using instrumentation and profiling tools to identify hotspots and drive targeted optimizations across the systems stack
Communicate technical decisions, trade-offs, and project status clearly to stakeholders across engineering levels and cross-functional roles.

we are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Machine Learning Engineer Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

We are looking for a talented and motivated Software Engineer to join our SDK team, focusing on the development and enhancement of our SDKs web & mobile.

In this role, you will take part in designing, building, and maintaining a high-performance SDK that is integrated into customer applications, used by customers around the world.

You will work closely with other engineers, product managers, and solution teams to ensure high quality, maintainability, and performance of the SDK.

If you are passionate about web and mobile technologies and enjoy solving complex challenges, wed love to meet you.

What Youll Do:
Design and implement new features and improvements in our SDKs .
Ensure the SDK is robust, secure, and easy to integrate by third-party developers.
Collaborate with cross-functional teams, including data engineer, data scientist and backend engineers.
Maintain high code quality through code reviews, testing, and best practices.
Monitor and optimize SDK performance and resource usage.
Write clear technical documentation and integration guides.

Meta is seeking a Machine Learning Engineer to design, build, and deploy machine learning systems across a broad range of product areas including ranking, recommendations, natural language understanding, computer vision, and integrity. In this role, you will own the full ML development lifecycle - from data pipeline construction and feature engineering through model training, evaluation, and production deployment - contributing directly to systems that serve billions of users at global scale.
Machine Learning Engineer Responsibilities
Design and implement end-to-end machine learning pipelines spanning data ingestion, feature engineering, model training, offline evaluation, and production serving
Develop and optimize models for large-scale applications such as ranking, recommendations, classification, and natural language understanding
Instrument model performance with robust monitoring, alerting, and dashboards to detect regressions and maintain production reliability
Drive A/B experiment design and analysis to validate model improvements, articulate trade-offs, and make data-informed launch decisions
Architect scalable ML infrastructure and reusable components that accelerate development velocity across the team
Identify and resolve complex model quality issues through systematic debugging, root cause analysis, and defensive engineering practices
Collaborate with product managers, data scientists, and software engineers to translate product requirements into ML problem formulations and technical roadmaps
Define and evolve ML platform standards, coding best practices, and testing frameworks to improve engineering quality across the organization
Mentor other engineers on ML methodology, system design, and engineering craft, and contribute to recruiting by conducting technical interviews.

Meta is reimagining shopping on our company, Instagram, and Muse. The vision is to make every piece of media shoppable. Behind that vision is our Product Recognition and Intelligence stack. It is the tech that looks at any photo, video, and text, and knows exactly which products are in it and how they relate to other products. We are building it to work at Meta's scale. Over 3 billion distinct users every day. Billions of items power a multibillion-dollar ad business.
We are hiring a senior staff Machine Learning Engineer to lead this journey. You will tackle the hardest ML systems challenges in training, serving, and evaluation. You will set the architecture and standards that raise the bar across organizations. You will ship state-of-the-art models to production where they touch billions.
If you want to have an impact at a global scale and love building tech that actually ships, come build with us.
Software Engineer - Machine Learning (Technical Leadership) Responsibilities
Identify and solve the most complex machine learning systems problems across the organization, including model training efficiency, large-scale inference optimisation, and cross-system ML pipeline reliability
Define and own the technical architecture for critical ML infrastructure components, ensuring designs are extensible, maintainable, and capable of supporting the next generation of model development at Meta's scale
Establish engineering standards and invariants for ML systems that prevent entire categories of reliability, correctness, and performance issues across multiple teams
Drive cross-organizational technical strategy by assessing emerging ML technologies, evaluating trade-offs between competing approaches, and influencing roadmap decisions with leadership and cross-functional partners
Lead the design and delivery of org-wide ML platform initiatives, coordinating across engineering teams, research, product, and data science to align on priorities and drive execution through ambiguity
Develop new metrics and data-driven frameworks for evaluating ML system health, model quality, and infrastructure efficiency, and connecting them to organization-level goals
Mentor and coach engineers across the organization on ML system design, debugging complex models and infrastructure failures, and developing scalable solutions to recurring technical challenges
Collaborate with privacy, security, and compliance teams to design ML systems that uphold user safety, meet regulatory requirements, and set the standard for responsible AI practices within the business domain
Identify and eliminate engineering bottlenecks through improved tooling, automation, and process improvements that make ML development faster and more reliable across the organization
Contribute to recruiting efforts by building relationships with candidates who bring critical ML systems expertise, and serve as a technical reference point for evaluating engineering talent at the most senior levels.

Required Software Engineer II, Mobile iOS
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Core team builds the technical foundation behind our flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across our products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Responsibilities
Build our native iOS offering, including building rich experiences, focused on increasing engagement with our products and features and incorporating the latest trends in iOS development and capabilities into our apps.
Explore new initiatives and improvements on how to get users more engaged with our products and features.
Increase robustness of existing products, improving data analytics pipelines and analytics, ML capabilities, better experimentation capabilities, alerting, and improving campaign management.
Improve and scale products, by UX improvement, improving latency and product quality, and experimentation related to content improvement.

Our Architecture Comando Team is looking for Software Engineers who are passionate about leading technology to the extreme.
What You'll Own:
Designing, developing, testing, deploying, and maintaining web applications using modern front-end and back-end technologies, including Node.js, React, TypeScript, JavaScript, and Python.
Leveraging AI-powered development tools such as Claude Code to accelerate development workflows, automate repetitive tasks, and improve code quality.
Leading server-side development using microservices architecture to ensure scalable and robust application performance.
Driving the design and implementation of micro frontend architecture, leveraging the industry's latest trends.
Mentoring junior and mid-level engineers through code reviews, pair programming, and technical guidance.
Collaborating with cross-functional teams, including product managers, designers, and other developers, to define technical direction and deliver high-quality applications.
Making architectural decisions and championing engineering best practices across the team.
Integrating AI and LLM capabilities into development pipelines and product features where applicable.

We are looking for a Senior Full-Stack Engineer to build reliable, high-impact product experiences from browser to backend. You will own meaningful product areas, turn ambiguous customer problems into pragmatic technical solutions, and help set a high bar for quality, speed, and engineering judgment.


What youll do
Design, build, test, deploy, and operate end-to-end product capabilities.
Build polished frontend experiences with React and TypeScript.
Develop scalable backend services and APIs with Node.js and TypeScript.
Partner closely with Product and Design to shape solutions before implementation.
Make sound architecture decisions across application boundaries, APIs, data models, security, performance, and observability.
Use AI-assisted engineering tools thoughtfully to improve development speed and quality, while rigorously validating their output.
Build AI-enabled or agentic product capabilities where they create clear customer value.
Raise the engineering bar through code reviews, pairing, documentation, and mentorship.