Qureos Mentor

Meta

<div>At Meta, we're building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world.Meta Robotics Studio is seeking a System Specialist who will own the end-to-end hardware test development, integration, and execution on complex robotic systems. This role bridges hardware and software &mdash; ensuring subsystems work together reliably, defining requirements, driving cross-functional collaboration, and delivering robust, scalable solutions for device validation and reliability testing. You will serve as a key technical liaison across engineering, manufacturing, and operations teams.<br>
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<h3 class="jobSectionHeader"><b>System Specialist - Meta Robotics Studio Responsibilities:
</b><br>
</h3><ul><li>Architect and integrate robotic systems, subsystems, and test stations for device validation and reliability</li><li>
Define system-level requirements and specifications, translating customer and infrastructure partner needs into actionable product requirements</li><li>
Lead proof-of-concept projects to evaluate enabling technologies and subsystems</li><li>
build and test prototypes</li><li>
Develop systems architecture for robotic platforms including manipulators, sensing, controls, and network connectivity</li><li>
Solidify and stabilize core robot functionality &mdash; sensing, controls, uptime, and communication interfaces</li><li>
Drive cross-functional collaboration across hardware, software, manufacturing, and operations teams throughout the project lifecycle</li><li>
Actively manage issues, risks, and schedules</li><li>
participate in usability testing and design reviews</li><li>
Develop documentation, best practices, and standards for system integration</li><li>
Mentor and guide engineers in integration practices and systems thinking</li><li>
Influence technical strategy and roadmap for systems integration across the organization</li></ul><br>
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<h3 class="jobSectionHeader"><b>Minimum Qualifications:</b><br>
</h3><ul><li>
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience</li><li>
Bachelor's degree in Robotics, Computer Engineering, Electrical Engineering, Mechanical Engineering, Systems Engineering, or equivalent practical experience</li><li>
10+ years of professional experience in systems engineering, systems integration, test station design, or robotic system development</li><li>
Experience with robotic platforms (e.g., ROS/ROS2) and integration of robotic algorithms (path planning, motion control, sensing, localization)</li><li>
Proficiency in Python and/or C++ for system-level development and automation</li><li>
Experience with characterizing and evaluating electromechanical systems</li><li>
Demonstrated experience leading cross-functional teams and driving complex integration projects from concept through production</li><li>
Experience communicating technical concepts clearly to diverse audiences (engineering, operations, non-technical stakeholders)</li><li>
Track record of defining technical direction and influencing organizational strategy</li></ul><br>
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<h3 class="jobSectionHeader"><b>Preferred Qualifications:</b><br>
</h3><ul><li>
Experience with rapid prototyping, hardware/software co-design, and manufacturing handoff processes</li><li>
Familiarity with reliability testing, validation frameworks, and design-for-test methodologies</li><li>
Experience optimizing design of existing products or devices for production at scale</li><li>
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies</li><li>
Knowledge of sensing technologies (distance sensors, IMUs, cameras), localization, and navigation</li><li>
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)</li><li>
Experience prioritizing work based on impact and deadlines, and taking ownership of deliverables through completion</li><li>
Experience working in highly collaborative, cross-functional environments at a hardware + software intersection</li><li>
12+ years of experience in systems integration or robotic system development</li><li>
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)</li><li>
Master's degree or PhD in Engineering, Robotics, or a related field</li><li>
Proven track record mentoring engineers and building team capability</li></ul><br>
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<h3 class="jobSectionHeader"><b>About Meta:</b><br>
</h3>
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.<br>
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<div>Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.<br>
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$219,000/year to $301,000/year + bonus + equity + benefits<br>
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Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div></div>

System Specialist - Meta Robotics Studio

<div>Meta is seeking a Staff Systems Engineer to design and build the foundational software infrastructure that powers products used by billions of people worldwide. In this role, you will architect and own large-scale distributed systems, low-level platform software, and critical infrastructure components that underpin Meta's family of applications and services. You will drive technical strategy across system reliability, performance, and scalability, partnering closely with product engineering, infrastructure, and operations teams to deliver systems that are resilient, efficient, and built to evolve. This is a high-impact opportunity to shape the systems engineering culture and technical direction at one of the world's most complex software organizations.<br>
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<h3 class="jobSectionHeader"><b>Software Engineer, Systems Responsibilities:
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</h3><ul><li>Architect and own large-scale distributed systems and platform infrastructure components, driving end-to-end technical design from requirements through production</li><li>
Lead the design and implementation of high-performance, low-latency systems with well-defined service level objectives, dashboards, and incident response runbooks</li><li>
Identify systemic reliability risks, reduce failure surface across service dependencies, and drive resiliency testing including overload and outage scenarios</li><li>
Establish and enforce systems engineering best practices across the team, including safe rollout strategies, feature flagging, staged releases, and automated deployment pipelines</li><li>
Use instrumentation and profiling to identify performance bottlenecks, establish visibility into key system metrics, and drive measurable improvements in throughput and latency</li><li>
Collaborate with cross-functional partners across product engineering, data infrastructure, and operations to align on technical requirements and deliver scalable platform solutions</li><li>
Proactively incorporate privacy, security, and integrity principles into system design at early engineering stages, partnering with relevant teams to apply appropriate safeguards</li><li>
Mentor other engineers on systems design patterns, debugging methodologies, and AI-accelerated development workflows, and contribute to onboarding and engineering programs</li><li>
Drive roadmapping and technical strategy for one or more platform areas, communicating trade-offs and architectural decisions clearly to both engineering and non-engineering stakeholders</li><li>
Leverage AI tools and automation to accelerate development velocity, reduce toil, and improve the reliability and observability of owned systems</li></ul><br>
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<h3 class="jobSectionHeader"><b>Minimum Qualifications:</b><br>
</h3><ul><li>
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience</li><li>
8+ years of experience designing and implementing large-scale distributed systems or platform infrastructure software</li><li>
Experience owning system reliability end-to-end, including defining service level objectives, building observability tooling, and leading incident response and retrospectives</li><li>
Experience leading technical design of complex systems, including evaluating architectural trade-offs and driving cross-team alignment on implementation decisions</li><li>
Experience with performance profiling, capacity planning, and optimization of high-throughput or low-latency systems</li><li>
Track record of successfully delivering major infrastructure initiatives, including coordinating rollouts, migrations, and dependency management across multiple teams</li></ul><br>
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<h3 class="jobSectionHeader"><b>Preferred Qualifications:</b><br>
</h3><ul><li>
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies</li><li>
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)</li><li>
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)</li><li>
Experience with systems programming in C, C++, Rust, or similar low-level languages in a production environment at scale</li><li>
Background in contributing to or defining organization-wide systems engineering standards, coding guidelines, or reliability frameworks</li><li>
Experience applying AI-assisted development workflows to systems engineering problems, including code generation, anomaly detection, or automated root cause analysis</li><li>
Demonstrated ability to build and improve developer tooling, automation frameworks, or internal platform abstractions that measurably improve engineering efficiency across teams</li></ul><br>
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<h3 class="jobSectionHeader"><b>About Meta:</b><br>
</h3>
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.<br>
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<div>Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.<br>
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$183,997/year to $257,000/year + bonus + equity + benefits<br>
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Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div></div>

Software Engineer, Systems

<div>As a Research Engineer focused on Multi-Modal Understanding, you will develop advanced algorithms that integrate computer vision with other modalities such as language, audio, and sensor data. You will also drive the curation of multi-modal datasets and ground truth annotation pipelines to support model training and evaluation. You will work closely with our research team to bring innovative multi-modal solutions to production, bridging the gap between visual perception and holistic contextual understanding for immersive applications.<br>
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<h3 class="jobSectionHeader"><b>Research Engineer, Computer Vision Responsibilities:
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</h3><ul><li>Design and implement multi-modal understanding systems that combine vision, language, and other sensory inputs to enable richer contextual awareness</li><li>
Develop algorithms for cross-modal learning, fusion, and reasoning to improve human-AI interaction</li><li>
Lead the curation and management of multi-modal datasets, ensuring data quality and diversity across vision, language, and sensor modalities</li><li>
Design and oversee ground truth annotation workflows and quality assurance processes for multi-modal data</li><li>
Complete medium to large features spanning multiple tasks independently with minimal to no guidance</li><li>
Collaborate with researchers and engineers across computer vision and machine learning teams to drive multi-modal innovation</li><li>
Develop well-organized code with proper testing and documentation, building production-ready multi-modal systems</li></ul><br>
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<h3 class="jobSectionHeader"><b>Minimum Qualifications:</b><br>
</h3><ul><li>
Proven experience with C++ and/or Python, including experience with modern features</li><li>
Experience working with deep learning frameworks such as PyTorch and TensorFlow</li><li>
Demonstrated experience working collaboratively in cross-functional teams</li></ul><br>
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<h3 class="jobSectionHeader"><b>Preferred Qualifications:</b><br>
</h3><ul><li>
Master's degree in Computer Science, Computer Vision, Machine Learning, or related field</li><li>
Experience with vision-language models or multi-modal transformers</li><li>
Publications or contributions to multi-modal understanding research</li><li>
Familiarity with large language models and their integration with visual understanding systems</li><li>
Experience with data curation, annotation tools, or ground truth labeling pipelines</li></ul><br>
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<h3 class="jobSectionHeader"><b>About Meta:</b><br>
</h3>
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.<br>
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<div>Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.<br>
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$121,992/year to $181,000/year + bonus + equity + benefits<br>
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Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div></div>

Research Engineer, Computer Vision

<div>Meta's Reality Labs Wearables division is developing future products in augmented reality and virtual reality. Our work in conversational AI, computer vision, advanced optics, eye tracking, machine learning and reasoning will enable and empower consumers and businesses in new ways.As a Linguistic Engineer (LE), you will focus on helping deliver datasets, models, and knowledge that power the ML systems across all components in the multimodal assistant product, such as ASR/TTS, NLU, NLG, Dialog, LLMs, and Knowledge Graph. The Linguistic Engineer delivers datasets, consistent models and representations across languages and areas, as well as data infrastructure that powers the voice assistant product.A strong applicant has demonstrated technical, analytical, and collaboration skills with experience in building datasets for ML applications. Experience as an ML practitioner is useful but not required as the role focuses on the datasets and provides an opportunity to interface and work directly with ML teams as part of the greater voice assistant organization.Experience with data tools, pipelines, and analytics is needed for this role. The ideal candidate will be multi-lingual, as the role involves building and evaluating datasets across multiple languages for the voice assistant product, have an interest in NLP and/or conversational AI systems and being at the latest advancements of their development. A plus is experience in any subfield of computational linguistics, though that is not specifically a requirement for the role.<br>
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<h3 class="jobSectionHeader"><b>Linguistic Engineer Responsibilities:
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</h3><ul><li>Build datasets, pipelines, and models for ML applications</li><li>
Directly support product development with rules, prompts, and data patches</li><li>
Evaluate the quality of models and product experiences and close the feedback loop</li><li>
Clearly communicate with project stakeholders</li><li>
Identify best practices and improve procedures across data systems</li><li>
Drive and deliver projects from conceptualization through launch and beyond with continual improvement and support</li><li>
Design and conduct product experiments</li><li>
Solve complex problems and embrace ambiguity to drive innovative and impactful solutions</li><li>
Manage and prioritize multiple work streams</li><li>
Collaborate effectively with cross-functional teams</li></ul><br>
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<h3 class="jobSectionHeader"><b>Minimum Qualifications:</b><br>
</h3><ul><li>
Experience as data scientist, software engineer, computational linguist or in similar role</li><li>
Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack</li><li>
Experience with text analysis, scripting, relational database, No SQL databases or similar</li><li>
Experience shipping multiple products across various platforms</li><li>
Degree in Linguistics, Computational Linguistics, Computer Science, Data Science, Information Systems, or related fields, or equivalent experience</li></ul><br>
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<h3 class="jobSectionHeader"><b>Preferred Qualifications:</b><br>
</h3><ul><li>
Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, and so on</li><li>
2 + years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies</li><li>
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies</li><li>
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)</li><li>
Fluency in additional languages to support multilingual dataset development and product localization efforts</li><li>
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)</li><li>
Practical knowledge of the relationship between data and machine learning models</li><li>
Advanced coursework and/or research in Linguistics, Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields</li><li>
Experience designing and conducting data experiments</li><li>
Experience with version control, unit tests, and other programming best practices</li></ul><br>
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<h3 class="jobSectionHeader"><b>About Meta:</b><br>
</h3>
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.<br>
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<div>Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.<br>
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$138,000/year to $189,000/year + bonus + equity + benefits<br>
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Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div></div>

Linguistic Engineer

<div>Meta is seeking a Staff Software Engineer to help define and lead the next generation of AI-native software development practices across our engineering organization. In this role, you will build systems, tools, and workflows that deeply integrate large language models and generative AI into the software development lifecycle, from code generation and automated testing to intelligent debugging and AI-accelerated product delivery. You will serve as a technical leader who shapes how engineers at Meta leverage AI as a force multiplier, enabling broader scope, faster iteration, and higher-quality outcomes across the company.<br>
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<h3 class="jobSectionHeader"><b>Software Engineer, AI Native Development Responsibilities:
</b><br>
</h3><ul><li>Design and build AI-native developer tooling and automation frameworks that integrate large language models into core engineering workflows such as code generation, code review, test synthesis, and incident response</li><li>
Lead the architecture and implementation of AI-accelerated systems that reduce iteration cycles, eliminate manual toil, and scale engineering output across product teams</li><li>
Identify opportunities to apply generative AI and foundation models to complex software engineering problems, and drive adoption of these solutions across the broader engineering organization</li><li>
Establish and evangelize best practices for responsible and effective AI use in software development, including guidelines for when to apply AI versus deep human expertise</li><li>
Partner with product, infrastructure, and platform teams to embed AI-native workflows into existing development pipelines, CI/CD systems, and experimentation frameworks</li><li>
Own the technical design and end-to-end delivery of major AI tooling initiatives, including defining service level objectives, monitoring strategies, and rollout plans</li><li>
Instrument and analyze AI workflow performance to identify bottlenecks, measure productivity impact, and drive data-informed improvements to developer experience</li><li>
Mentor other engineers on AI-native development patterns, judgment in AI tool selection, and techniques for building reliable AI-assisted systems</li><li>
Contribute to engineering programs that advance the organization's AI fluency, including onboarding guides, internal knowledge sharing, and cross-team working groups</li><li>
Proactively incorporate privacy, security, and integrity principles into AI-integrated systems, partnering with cross-functional stakeholders to ensure responsible deployment</li></ul><br>
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<h3 class="jobSectionHeader"><b>Minimum Qualifications:</b><br>
</h3><ul><li>
8+ years of software engineering experience, including experience building developer tooling, platform infrastructure, or AI-integrated systems</li><li>
Experience designing and shipping production systems that incorporate large language models, code generation models, or other generative AI technologies into software engineering workflows</li><li>
Experience leading major technical initiatives end-to-end, including architecture design, cross-team coordination, staged rollout, and post-launch reliability ownership</li><li>
Experience communicating technical decisions and trade-offs in writing to both engineering and non-engineering stakeholders, including design documents and technical proposals</li><li>
Experience applying AI tools fluently within a software development context, with demonstrated judgment on appropriate use cases, limitations, and quality validation</li></ul><br>
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<h3 class="jobSectionHeader"><b>Preferred Qualifications:</b><br>
</h3><ul><li>
Experience building or contributing to AI coding assistants, automated testing frameworks powered by language models, or AI-driven developer productivity platforms</li><li>
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)</li><li>
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies</li><li>
Track record of driving measurable improvements in engineering efficiency through tooling, automation, or process changes at an organizational scale</li><li>
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)</li><li>
Experience establishing observability and evaluation frameworks for AI-generated outputs in production software systems</li><li>
Familiarity with prompt engineering, retrieval-augmented generation, or fine-tuning techniques applied to software engineering tasks</li></ul><br>
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<h3 class="jobSectionHeader"><b>About Meta:</b><br>
</h3>
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.<br>
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Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div>

Software Engineer, AI Native Development

<div>Meta is seeking Ads Engineers to join our engineering team. This role requires industry experience working on a range of AI and optimization problems in ads or related products. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.<br>
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<h3 class="jobSectionHeader"><b>Software Engineer (Leadership) - Machine Learning Responsibilities:
</b><br>
</h3><ul><li>Drive the team's goals &amp; technical direction to pursue opportunities that make your larger organization more efficient</li><li>
Effectively communicate complex features &amp; systems in detail</li><li>
Understand industry &amp; company-wide trends to help assess &amp; develop new technologies</li><li>
Partner &amp; collaborate with organization leaders to help improve the technical quality and delivery velocity of the team and organization</li><li>
Identify new opportunities for the larger organization &amp; influence the appropriate people for staffing/prioritizing these new ideas</li><li>
Suggest, collect and synthesize requirements and create an effective feature roadmap</li><li>
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models</li><li>
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)</li></ul><br>
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<h3 class="jobSectionHeader"><b>Minimum Qualifications:</b><br>
</h3><ul><li>
Experience leading projects with industry-wide impact</li><li>
Experience communicating and working across functions to drive solutions</li><li>
Experience in mentoring/influencing engineers across organizations</li><li>
Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision</li><li>
Experience in driving large cross-functional/industry-wide engineering efforts</li><li>
Significant experience in programming languages (Python, C++, or Java) with technical background</li><li>
Significant experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods</li></ul><br>
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<h3 class="jobSectionHeader"><b>Preferred Qualifications:</b><br>
</h3><ul><li>
Experience in shipping products to millions of customers or have started a new line of product</li></ul><br>
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<br>
<h3 class="jobSectionHeader"><b>About Meta:</b><br>
</h3>
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.<br>
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Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div>

Software Engineer (Leadership) - Machine Learning

Join Meta and explore 25   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Meta

About Company

System Specialist - Meta Robotics Studio

System Specialist - Meta Robotics Studio

Software Engineer, Systems

Research Engineer, Computer Vision

Linguistic Engineer

Software Engineer, AI Native Development

Software Engineer (Leadership) - Machine Learning