Design Engineer jobs at Stripe - 69 jobs

At Reality Labs we aim to bring together the brightest cross-disciplinary minds in one place to deliver on our mission: build tools that help people feel connected, anytime, anywhere. As a Product Design Engineer, you will take a critical role in developing hardware systems for MR, AR, or New Technology Initiatives. You will become part of a team exploring developing concepts through prototyping and into mass-production consumer electronics. You will work as part of a cross functional team requiring collaboration and curiosity in domains other than mechanical engineering. Our team supports mechanical engineering fundamentals, prototyping skills, CAD fluency, manufacturing process knowledge, and experience designing consumer electronics. **Required Skills:** Product Design Engineer Responsibilities: 1. Lead the mechanical design for a particular component, feature or system while having end-to-end product development understanding 2. Contribute to mechanical solutions as part of a highly cross-functional team 3. Model, build, test, and refine prototypes and characterization test systems 4. Work across the full product development cycle, from concept inception to shipping product 5. Collaborate and manage work with Asia-based Supply Chain 6. Push state-of-the-art technologies and approaches to solving complex mechanical problems while working with cross functional technical teams 7. Travel to external vendors up to 20% **Minimum Qualifications:** Minimum Qualifications: 8. BS in Mechanical Engineering or equivalent industry experience 9. 6+ years of industry experience in mechanical design 10. Experience in Design for Manufacturability (DFM), Design for Assembly (DFA), statistical tolerance analysis techniques, functional dimensioning, GD&T, and 3D/2D CAD 11. Working knowledge in material properties, such as plastics, metal, adhesive, and glass 12. Testing and analysis experience (FEA, Simulation, Design of Experiments, etc.) 13. Knowledge of high-volume manufacturing techniques (stamping, machining, 3D printing, injection molding, etc.) **Preferred Qualifications:** Preferred Qualifications: 14. 8+ years of product design and development experience of handheld and/or wearable high-volume consumer electronics, including complex subsystems and/or full systems ownership 15. Experience with NX CAD 16. Experience with highly cosmetic products and working with Industrial Design 17. Fluency in Mandarin and/or Cantonese 18. Experience designing for human factors 19. Experience designing and shipping products with Asia-based supply chains 20. MS or PhD in Mechanical Engineering **Public Compensation:** $144,000/year to $204,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** 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. 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@fb.com.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click "Apply to Job" online on this web page. Minimum Qualifications * Requires Bachelor's degree (or foreign equivalent) in Mechanical Engineering, Mechatronics Engineering, Applied Sciences, Mathematics, Physics, or related field, and three years of work experience in job offered or in an engineering-related occupation. Requires three years of experience in the following: * 3D and 2D CAD (NX, SolidWorks, or Creo) * Geometric Dimensioning and Tolerancing (GD&T) * Design for Manufacturability (DFM) * Design for Assembly (DFA) * Designing prototypes, utilizing a variety of manufacturing techniques including 3D printing, CNC machining, and casting * Statistical Tolerance Analysis * Material properties such as plastics, metals, or adhesives * Design for high volume manufacturing techniques such as injection molding, stamping, extruding, or die-casting * Design of products requiring cosmetic surface treatments and interfacing with Industrial Design teams * Working with complex electromechanical assemblies Responsibilities * Develop systems for VR, AR, or new technology initiatives, from early prototyping through mass-production. * Work as part of a cross-functional team for collaboration beyond mechanical engineering. * Use mechanical engineering fundamentals, prototyping skills, CAD fluency, manufacturing process knowledge, and experience designing consumer electronics to contribute to mechanical solutions. * Model, build, test, and refine prototypes and characterization test systems, and work through the full product development cycle from concept inception to shipping. * Collaborate and manage work with global supply chains and distributed engineering teams. * Utilize state of the art technologies and approaches to solve complex mechanical problems while working with cross-functional technical teams. About Meta 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-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

At Reality Labs we aim to bring together the brightest cross-disciplinary minds in one place to deliver on our mission: build tools that help people feel connected, anytime, anywhere. As a Product Design Engineer, you will take a critical role in developing hardware systems for MR, AR, or New Technology Initiatives. You will become part of a team exploring developing concepts through prototyping and into mass-production consumer electronics. You will work as part of a cross functional team requiring collaboration and curiosity in domains other than mechanical engineering. Our team supports mechanical engineering fundamentals, prototyping skills, CAD fluency, manufacturing process knowledge, and experience designing consumer electronics. Minimum Qualifications * BS in Mechanical Engineering or equivalent industry experience * 6+ years of industry experience in mechanical design * Experience in Design for Manufacturability (DFM), Design for Assembly (DFA), statistical tolerance analysis techniques, functional dimensioning, GD&T, and 3D/2D CAD * Working knowledge in material properties, such as plastics, metal, adhesive, and glass * Testing and analysis experience (FEA, Simulation, Design of Experiments, etc.) * Knowledge of high-volume manufacturing techniques (stamping, machining, 3D printing, injection molding, etc.) Preferred Qualifications * 8+ years of product design and development experience of handheld and/or wearable high-volume consumer electronics, including complex subsystems and/or full systems ownership * Experience with NX CAD * Experience with highly cosmetic products and working with Industrial Design * Fluency in Mandarin and/or Cantonese * Experience designing for human factors * Experience designing and shipping products with Asia-based supply chains * MS or PhD in Mechanical Engineering Responsibilities * Lead the mechanical design for a particular component, feature or system while having end-to-end product development understanding * Contribute to mechanical solutions as part of a highly cross-functional team * Model, build, test, and refine prototypes and characterization test systems * Work across the full product development cycle, from concept inception to shipping product * Collaborate and manage work with Asia-based Supply Chain * Push state-of-the-art technologies and approaches to solving complex mechanical problems while working with cross functional technical teams * Travel to external vendors up to 20% About Meta 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-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

At Meta, Design Engineers solve complex Product Design problems with Engineering skills. This is a unique, specialized role on Meta's Design Tools team with a mandate to support efforts around quality and craft, improve design systems and tools, and help launch 0-1 product concepts and ideas that are reviewed by leadership. **Required Skills:** Design Engineer, Design Tools Responsibilities: 1. Contribute to product strategy for a comprehensive suite of AI Design Tools, covering all stages of user experience and development 2. Contribute to product design, specifying how our AI design tooling works in a highly complex and technical space 3. Directly contribute front-end code, and work with Software Engineers and Product Designers to launch new tooling features 4. Work with UX research to understand user issues for AI design workflows, and identify new opportunities for tooling assistance 5. Support the integration of cutting-edge models, such as Llama4 and beyond **Minimum Qualifications:** Minimum Qualifications: 6. 4+ years of experience with front-end development 7. 4+ years of experience with product design and strategy 8. Understanding of design principles and the knowledge to build experiences that span mobile and desktop browsers and native platforms 9. Experience in full lifecycle of design and development -- including ideation, UX design, prototyping, and development **Preferred Qualifications:** Preferred Qualifications: 10. Familiarity and experience with React 11. High-level familiarity with modern AI models **Public Compensation:** $139,000/year to $199,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** 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. 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@fb.com.

At Meta, Design Engineers solve complex Product Design problems with Engineering skills. This is a unique, specialized role on Meta's Design Tools team with a mandate to support efforts around quality and craft, improve design systems and tools, and help launch 0-1 product concepts and ideas that are reviewed by leadership. Minimum Qualifications * 4+ years of experience with front-end development * 4+ years of experience with product design and strategy * Understanding of design principles and the knowledge to build experiences that span mobile and desktop browsers and native platforms * Experience in full lifecycle of design and development -- including ideation, UX design, prototyping, and development Preferred Qualifications * Familiarity and experience with React * High-level familiarity with modern AI models Responsibilities * Contribute to product strategy for a comprehensive suite of AI Design Tools, covering all stages of user experience and development * Contribute to product design, specifying how our AI design tooling works in a highly complex and technical space * Directly contribute front-end code, and work with Software Engineers and Product Designers to launch new tooling features * Work with UX research to understand user issues for AI design workflows, and identify new opportunities for tooling assistance * Support the integration of cutting-edge models, such as Llama4 and beyond About Meta 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-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

We are seeking a candidate for a key leadership role in scheduling for a portfolio of Data Center projects of strategic importance to Meta. The Schedule lead will act as a technical Schedule subject matter expert overseeing all schedule management and reporting for their portfolio of projects. The successful candidate will have focus on speed to market and be a critical partner for the Delivery Team and the Project Controls Lead to forecast and help mitigate schedule related risks and issues on the project, enable commercial accountability, manage schedule health reporting/escalation, and ensure that schedule change management is effective and expedient. Leadership, communication, and organization skills are a must in this highly collaborative, analytical, and strategic role. This position will work closely within the DEC Technical Operations team and various internal departments including Site Project Management teams, Pre-Construction, Contracts, Finance, Accounting, Sourcing and Operations Engineering. **Required Skills:** Area Schedule Lead - Data Center Design, Engineering and Construction Responsibilities: 1. Responsible for end to end schedule coordination and updates, including interface with risk management and pro-active communication of updates and alignment of variance root cause/commentary with Cross-functional partners 2. Identifies, documents, and communicates schedule risks through defined processes, including Risk Registers, health reviews, and New Build Program management meetings 3. Accountable for all aspects of vendor and Contractor schedule management 4. Accountable for Contractor baseline schedule development and evaluation during pre-con, including ensuring adherence to program guidance and specifications. Will lead efforts to optimize schedules for speed to market and successful on-time-delivery 5. Responsible for application of commercial entitlement for contractor Extensions Of Time (EOT) for their designated portfolio of projects. Provide leadership to site teams for Delay Tracking, EOT requests and claims. Responsible for making recommendations that are in line with contract and escalating when site decisions differ from the contractual or program guidance 6. Lead the identification and application of Proactive Risk Indicators in sub-area and ensure all risks are properly escalated to Health Reviews, and other appropriate forums. Lead ad-hoc schedule analysis to support program as required 7. Lead a small team of consultants (if required) to support effective schedule management for the designated portfolio of projects 8. Approximately 50% travel to other Data Center sites within the Area and home office **Minimum Qualifications:** Minimum Qualifications: 9. 10+ years of Planning, Scheduling, Construction Management, or Related field experience 10. Bachelor's degree in Engineering, Construction Management, or Equivalent Technical Field or related field experience 11. Subject Matter Expert in Primavera P6 and other scheduling related methodologies and software 12. Experience developing/managing an Owner's planning/scheduling program 13. Familiar with Data Center, Infrastructure or Construction programs requiring complicated commissioning specifications 14. Demonstrated analytical, communication, problem solving, prioritization, organization and reporting skills 15. Experience leading complex project or program planning and coordination amongst a large group of internal and external project stakeholders 16. Demonstrated experience developing and driving actions or operational adjustments based on schedule or project controls performance metrics 17. Demonstrated experience partnering with cross-functional teams to influence strategic direction **Preferred Qualifications:** Preferred Qualifications: 18. Experience identifying schedule efficiencies and driving programmatic or organizational alignment in changing execution strategies to optimize schedule performance 19. Experience negotiating schedule changes or complex construction claims 20. Successful development and implementation of scheduling or project controls strategies in a large organization 21. Familiar with complex networking systems and electrical infrastructure 22. Experience managing a team of Contingent Worker Schedulers **Public Compensation:** $150,000/year to $209,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** 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. 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@fb.com.

Want to build cutting-edge AI developer tools? The AI Infrastructure Experiences team designs the tooling and platforms that power Meta's AI efforts, including model authoring, training, experimentation, deployment, and debugging. This work enables many of Meta's top AI priorities, including recommendations on Instagram and Facebook, Ads ranking, research (FAIR) and more. As a Product Design Engineer, you'll have the opportunity to contribute to and influence everything from product strategy, to user experience design, to UI engineering. **Required Skills:** Design Engineer - AI Infrastructure Responsibilities: 1. Works with full-stack software teams to realize designs into experiences and will validate or discard hypotheses by testing new designs and concepts with advanced prototypes 2. Develop and iterate rapid models of proposed design solutions for the purposes of communication and evaluation across cross-functional teams 3. Improve tools and drive quality and craft initiatives in an effort to up-level the look and feel of the AI infrastructure products 4. Translate static designs (both hi-fidelity and wire-frame) into end-to-end, interactive prototypes that can be used in research, critique, reviews with leadership, and public-facing product announcements 5. Present work to peers, product teams and executive leadership/stakeholders **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field 7. 2+ years of experience shipping software products 8. Experience in full lifecycle of design and development -- including ideation, prototyping, development, backwards compatibility, failovers, validation, and user research 9. Understanding of design principles and the knowledge to build experiences that span mobile and desktop browsers and native platforms 10. Experience with front-end technologies and prototyping tools, including Figma, PHP, HTML, CSS, and JavaScript frameworks (e.g., React, React Native, NodeJS) 11. A solid portfolio of things you've designed and built across a range of platforms, including native and web-based applications **Preferred Qualifications:** Preferred Qualifications: 12. You've built (and shipped) something - an app, an MVP, a proof of concept, etc 13. A portfolio that shows a range of technical skills and a creative use of code **Public Compensation:** $113,000/year to $164,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** 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. 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@fb.com.

We are seeking a candidate for a key role overseeing our Contingent Workforce of Project Schedulers. Leadership, communication, and organization skills are important in this highly collaborative, analytical, and strategic role. This position will work closely within the DEC (Design, Engineering and Construction) Business Controls team and various internal departments including Site Project Management teams, Pre-Construction, Contracts, Finance, Accounting, Sourcing and Operations Engineering. **Required Skills:** Area Schedule Lead - Data Center Design, Engineering and Construction Responsibilities: 1. Oversee Contingent Worker schedulers on our dual sites. Review the schedule health reports produced by CW schedulers on site and provide feedback to CW account leads as required 2. Responsible for application of commercial entitlement for schedule. Provide leadership to site teams and CW Schedulers for Delay Tracking, Extension of Time (EOT) requests and claims and coordinate the change evaluation in collaboration with the cost team. Responsible for making recommendations that are in line with contract and escalating when site decisions differ from the contractual or program guidance 3. Support Precon team in ensuring that the GC/TC establishes a baseline that is aligned with precon estimates, and one that can be used as a true target schedule as the job progresses. Ensure all Baseline Expectations are meet and escalate appropriately if Schedule does not meet the revised checklist or DIV1 Spec 4. Accountable for maintaining Integrated Master Schedule (IMS) including reporting to site team, leadership and cross-functional partners 5. Lead the identification and application of Proactive Risk Indicators (Project Kronos) on site and ensure all risks are properly escalated on AHRs and other leadership functions. Collaborate with site teams on schedule mitigation strategies. Track implementation of GC/TC Quality Checklist and End of month Communications 6. Work through any XFN schedule coordination challenges with ISCE, IDC and other partners. Ensure Alignment on each site between Scheduling Team and Cost team at the project level **Minimum Qualifications:** Minimum Qualifications: 7. 10+ years of construction schedule experience 8. Experience with P6 (Primavera 6) and Excel 9. BA/BS in construction management, finance, business or equivalent **Preferred Qualifications:** Preferred Qualifications: 10. 5+ years data center experience **Public Compensation:** $123,000/year to $176,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** 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. 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@fb.com.

Meta is seeking a Research Engineer to join content and user understanding team, with a focus of Large Language Model (LLM). We conduct focused research and engineering to build state-of-the-art LLMs. As a key driver of Meta's app growth, we're dedicated use LLM-powered world knowledge to deliver user experiences across Facebook, Instagram, Threads, and more. We are looking for engineers with a background in generative AI and NLP. Experience in areas like language model evaluation, data processing for pre-training and fine-tuning, LLM alignment, reinforcement learning for language model tuning, efficient training and inference, and/or multimodal modeling is desired. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Research experience in machine learning, deep learning, and/or natural language processing * Experience with developing machine learning models at scale from inception to business impact * Programming experience in Python and hands-on experience with frameworks such as PyTorch * Understanding of architectural patterns of large scale software applications Preferred Qualifications * First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL) * Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * A PhD in AI, computer science, data science, or related technical fields * Direct experience in generative AI and LLM research Responsibilities * Build Multi-Modal LLM backbones * Prepare human-labeled or auto-generated data for pre-training and fine-tuning * Fine-tune/RLHF for downstream content understanding and user understanding tasks * Model evaluation with human labeling or auto judge About Meta 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-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Meta is seeking a Research Engineer to join content and user understanding team, with a focus of Large Language Model (LLM). We conduct focused research and engineering to build state-of-the-art LLMs. As a key driver of Meta's app growth, we're dedicated use LLM-powered world knowledge to deliver exceptional user experiences across Facebook, Instagram, Threads, and more. We are looking for engineers with a background in generative AI and NLP. Experience in areas like language model evaluation, data processing for pre-training and fine-tuning, LLM alignment, reinforcement learning for language model tuning, efficient training and inference, and/or multimodal modeling is desired. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Research experience in machine learning, deep learning, and/or natural language processing * Experience with developing machine learning models at scale from inception to business impact * Programming experience in Python and hands-on experience with frameworks such as PyTorch * Understanding of architectural patterns of large scale software applications Responsibilities * Build Multi-Modal LLM backbones * Prepare human-labeled or auto-generated data for pre-training and fine-tuning * Fine-tune/RLHF for downstream content understanding and user understanding tasks * Model evaluation with human labeling or auto judge About Meta 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-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Meta is seeking a Partner Engineer to join Meta's AI Partner Engineering team, a highly technical team that works with strategic partners, machine learning leaders across the industry and all major cloud service providers for building and launching new Generative AI product services and experience and taking Large Language Models (LLMs) from research to production. In this role, you will engage with some of the world's most influential companies and work closely with our Llama engineering and AI research teams. You will also represent Meta at developer conferences and events. You will be required to develop technical accelerators, case studies, white papers, blogs, reference architectures, and/or presentations to evangelize Meta's AI design patterns and best practices. **Required Skills:** Partner Engineer, Generative AI Responsibilities: 1. Apply relevant AI and machine learning techniques to build and launch generative AI solutions using Meta's Llama and other state of the art LLMs 2. Understand Meta's AI, Llama architecture, frameworks, products and their underlying implementation 3. Define and execute on a strategy to drive adoption of Llama and other Meta's AI/ML platform offerings 4. Work closely with cloud providers (e.g. AWS, Azure, GCP) and Meta's strategic partners on deep learning & Llama integrations 5. Be a subject matter technical expert, and have strategic influence on partners and internal teams at Meta 6. Provide thought leadership, evangelize Llama & Gen AI services and share best practices through forums such as medium blogs, whitepapers, reference architectures and public-engagements events 7. Develop reference architectures, samples and other materials to share with the broader Meta developer community 8. Work with key partners and Llama developer community to optimize existing generative AI models for improved performance, scalability, and efficiency 9. Leads technical strategy and roadmap for long-term strategic partners with high level of autonomy to own and navigate long term technical relationship with partners 10. Demonstrated experience in understanding of Responsible AI, proactively identifies risk to Meta and partners and drives involvement from the necessary cross functional teams 11. Effectively plan, lead and execute on projects with minimal direction & oversight from leadership 12. Proactively communicate feedback, updates, status to direct team as well as relevant cross-functional teams 13. Create clear and concise documentation, including technical specifications, best practices guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders internally and externally **Minimum Qualifications:** Minimum Qualifications: 14. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 15. 5+ years experience as software engineer, technical consultant or partner/sales engineer 16. 5+ years of experience in one or more of the following areas: Deep Learning, LLMs, NLP, Speech, Conversational AI,AI-Infrastructure, Fine-tuning and optimizations of PyTorch models 17. Software development experience in languages like Python, Java, Go, Rust, C/C++. (at least one) 18. Experience with at least one LLM such as Llama, GPT, Claude, Falcon, etc 19. Experience with at least one deep learning framework such as PyTorch and/or JAX 20. Experience building cloud solutions on any cloud. Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers 21. Experience communicating and presenting to technical and business audiences **Preferred Qualifications:** Preferred Qualifications: 22. BS, MS or Ph.D. degree in Computer Science or related quantitative field 23. Solid understanding of at least one Deep Learning framework (PyTorch, Tensorflow, Jax) 24. Experience building Deep Learning, Gen AI - Computer Vision or Natural Language Processing models using the frameworks 25. Experience applying relevant AI and machine learning techniques to build 26. Experience influencing and building mindshare convincingly with any audience 27. Experience working with internal and external partners 28. Data science background and experience manipulating/transforming data, model selection, model training, model optimization and deployment at scale 29. Experience deploying production-grade machine learning solutions on public cloud platforms (like AWS) 30. (Nice to have) Experience of launching a product / service or application into market is a plus 31. (Nice to have) Knowledge of Mobile/IoT for deploying ML models at the edge is a plus 32. (Nice to have) Contributed to an Open Source project, submitted PRs for features/ fixed bugs and/or created sample applications in OSS or participated in Kaggle competitions **Public Compensation:** $149,000/year to $210,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** 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. 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@fb.com.

Meta is seeking a Partner Engineer to join Meta's AI Partner Engineering team, a highly technical team that works with strategic partners, machine learning leaders across the industry and all major cloud service providers for building and launching new Generative AI product services and experience and taking Large Language Models (LLMs) from research to production. In this role, you will engage with some of the world's most influential companies and work closely with our Llama engineering and AI research teams. You will also represent Meta at developer conferences and events. You will be required to develop technical accelerators, case studies, white papers, blogs, reference architectures, and/or presentations to evangelize Meta's AI design patterns and best practices. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 5+ years experience as software engineer, technical consultant or partner/sales engineer * 5+ years of experience in one or more of the following areas: Deep Learning, LLMs, NLP, Speech, Conversational AI,AI-Infrastructure, Fine-tuning and optimizations of PyTorch models * Software development experience in languages like Python, Java, Go, Rust, C/C++. (at least one) * Experience with at least one LLM such as Llama, GPT, Claude, Falcon, etc * Experience with at least one deep learning framework such as PyTorch and/or JAX * Experience building cloud solutions on any cloud. Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers * Experience communicating and presenting to technical and business audiences Preferred Qualifications * BS, MS or Ph.D. degree in Computer Science or related quantitative field * Solid understanding of at least one Deep Learning framework (PyTorch, Tensorflow, Jax) * Experience building Deep Learning, Gen AI - Computer Vision or Natural Language Processing models using the frameworks * Experience applying relevant AI and machine learning techniques to build * Experience influencing and building mindshare convincingly with any audience * Experience working with internal and external partners * Data science background and experience manipulating/transforming data, model selection, model training, model optimization and deployment at scale * Experience deploying production-grade machine learning solutions on public cloud platforms (like AWS) * (Nice to have) Experience of launching a product / service or application into market is a plus * (Nice to have) Knowledge of Mobile/IoT for deploying ML models at the edge is a plus * (Nice to have) Contributed to an Open Source project, submitted PRs for features/ fixed bugs and/or created sample applications in OSS or participated in Kaggle competitions Responsibilities * Apply relevant AI and machine learning techniques to build and launch generative AI solutions using Meta's Llama and other state of the art LLMs * Understand Meta's AI, Llama architecture, frameworks, products and their underlying implementation * Define and execute on a strategy to drive adoption of Llama and other Meta's AI/ML platform offerings * Work closely with cloud providers (e.g. AWS, Azure, GCP) and Meta's strategic partners on deep learning & Llama integrations * Be a subject matter technical expert, and have strategic influence on partners and internal teams at Meta * Provide thought leadership, evangelize Llama & Gen AI services and share best practices through forums such as medium blogs, whitepapers, reference architectures and public-engagements events * Develop reference architectures, samples and other materials to share with the broader Meta developer community * Work with key partners and Llama developer community to optimize existing generative AI models for improved performance, scalability, and efficiency * Leads technical strategy and roadmap for long-term strategic partners with high level of autonomy to own and navigate long term technical relationship with partners * Demonstrated experience in understanding of Responsible AI, proactively identifies risk to Meta and partners and drives involvement from the necessary cross functional teams * Effectively plan, lead and execute on projects with minimal direction & oversight from leadership * Proactively communicate feedback, updates, status to direct team as well as relevant cross-functional teams * Create clear and concise documentation, including technical specifications, best practices guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders internally and externally About Meta 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-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

... Responsibilities ... Qualifications ... Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: New York $ 197,000- 266,500

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. **Location:** At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in New York, NY. **Team & Role Overview:** As a Senior Staff AI Engineer (L7 - Senior Technical Lead) at LinkedIn Ads you will be responsible for leading a team of engineers who build and own algorithms, models, and systems that power our LinkedIn ad tech platform. We are looking to experiment with and implement GenAI solutions to build new ad-creative variations which can yield better ROI for our advertisers. This can include written content, images, and video content. This role will provide technical and thought leadership for GAI spanning multiple work streams and a team of 15-20 total engineers. **Responsibilities:** + Develop a strategy for a new technical foundation based on using AI/LLMs to innovate in ad formats. + Design a technical solution that enables the organization to A/B test new ad formats and placements quickly and iterate. + Evangelize the use of LLMs and AI in software development in the broader organization. + Collaborate with Media, Video and Events teams on generating new clips and ad variations to test as ads. + Drive key decisions related to model selection, training, evaluation, and fine tuning. + Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation and excellence. **Basic Qualifications:** + At least two years as a Technical Lead, Staff Engineer, Principal Engineer, or equivalent. + 5+ years of overall industry experience in AI or Machine Learning Engineering. + BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience **Preferred Qualifications:** + 10+ years of overall industry/research experience in AI and/or Machine Learning. + PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field + Expert-level understanding of leading Generative AI (GAI) solutions, along with deep expertise in topics such as model selection and deep learning / reinforcement learning and their application to model training in language-based environments. + Strong programming skills in Python and relevant deep learning frameworks (e.g., PyTorch). + Proven ability to build models that accurately interpret and follow complex, nuanced instructions (zero-shot or few-shot). + Prior experience in the Ads domain. **Suggested Skills:** + Generative AI (GAI) + Reinforcement Learning (RL) + Technical Leadership **You will Benefit from our Culture:** We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $191,000 - $315,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** **Equal Opportunity Statement:** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ******************************************** **Equal Opportunity Statement** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **Pay Transparency Policy Statement ** As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** **Global Data Privacy Notice for Job Candidates ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in New York, NY. Team & Role Overview: As a Senior Staff AI Engineer (L7 - Senior Technical Lead) at LinkedIn Ads you will be responsible for leading a team of engineers who build and own algorithms, models, and systems that power our LinkedIn ad tech platform. We are looking to experiment with and implement GenAI solutions to build new ad-creative variations which can yield better ROI for our advertisers. This can include written content, images, and video content. This role will provide technical and thought leadership for GAI spanning multiple work streams and a team of 15-20 total engineers. Responsibilities: Develop a strategy for a new technical foundation based on using AI/LLMs to innovate in ad formats. Design a technical solution that enables the organization to A/B test new ad formats and placements quickly and iterate. Evangelize the use of LLMs and AI in software development in the broader organization. Collaborate with Media, Video and Events teams on generating new clips and ad variations to test as ads. Drive key decisions related to model selection, training, evaluation, and fine tuning. Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation and excellence. Qualifications Basic Qualifications: At least two years as a Technical Lead, Staff Engineer, Principal Engineer, or equivalent. 5+ years of overall industry experience in AI or Machine Learning Engineering. BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience Preferred Qualifications: 10+ years of overall industry/research experience in AI and/or Machine Learning. PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field Expert-level understanding of leading Generative AI (GAI) solutions, along with deep expertise in topics such as model selection and deep learning / reinforcement learning and their application to model training in language-based environments. Strong programming skills in Python and relevant deep learning frameworks (e.g., PyTorch). Proven ability to build models that accurately interpret and follow complex, nuanced instructions (zero-shot or few-shot). Prior experience in the Ads domain. Suggested Skills: Generative AI (GAI) Reinforcement Learning (RL) Technical Leadership You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $191,000 - $315,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Additional Information Equal Opportunity Statement: We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ******************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in New York, NY. Team & Role Overview: As a Senior Staff AI Engineer (L7 - Senior Technical Lead) at LinkedIn Ads you will be responsible for leading a team of engineers who build and own algorithms, models, and systems that power our LinkedIn ad tech platform. We are looking to experiment with and implement GenAI solutions to build new ad-creative variations which can yield better ROI for our advertisers. This can include written content, images, and video content. This role will provide technical and thought leadership for GAI spanning multiple work streams and a team of 15-20 total engineers. Responsibilities: * Develop a strategy for a new technical foundation based on using AI/LLMs to innovate in ad formats. * Design a technical solution that enables the organization to A/B test new ad formats and placements quickly and iterate. * Evangelize the use of LLMs and AI in software development in the broader organization. * Collaborate with Media, Video and Events teams on generating new clips and ad variations to test as ads. * Drive key decisions related to model selection, training, evaluation, and fine tuning. * Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation and excellence. Qualifications Basic Qualifications: * At least two years as a Technical Lead, Staff Engineer, Principal Engineer, or equivalent. * 5+ years of overall industry experience in AI or Machine Learning Engineering. * BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience Preferred Qualifications: * 10+ years of overall industry/research experience in AI and/or Machine Learning. * PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field * Expert-level understanding of leading Generative AI (GAI) solutions, along with deep expertise in topics such as model selection and deep learning / reinforcement learning and their application to model training in language-based environments. * Strong programming skills in Python and relevant deep learning frameworks (e.g., PyTorch). * Proven ability to build models that accurately interpret and follow complex, nuanced instructions (zero-shot or few-shot). * Prior experience in the Ads domain. Suggested Skills: * Generative AI (GAI) * Reinforcement Learning (RL) * Technical Leadership You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $191,000 - $315,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Additional Information Equal Opportunity Statement: We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ******************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. **Team Overview:** The Assets, Formats & Placements team is part of our LinkedIn Marketing Solutions (Ads Technology) group. This team has a vision of building a content onboarding and asset generation platform, innovating in new ad formats and experimenting with new ad slot supply that can be monetized. The team also owns vertical products like hosting live events and B2B marketing aspects for those events and the strategy to monetize creators & publishers that post high quality video content on LinkedIn. **Location:** At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in **New York, NY** . **Responsibilities:** As a Principal AI Engineer you will be setting the technical direction and foundation to build and own algorithms, models, and systems that power our LinkedIn ad tech platform. We are looking for a high performing and high ambition tech lead who will use AI/ML to push the boundaries of our ad stack and meet the future needs of our B2B advertisers. + Define and execute technical vision for applying AI to accelerate the team's roadmap which includes asset generation using LLMs, personalizing ads at scale and new workflows that guide advertisers to building higher performing ads. + Mentor and work with other Sr. Staff SWEs in the team to establish quality norms, processes and build a culture of operational excellence. + Partner with Product, Data Science, and AI Research teams to translate business goals into scalable AI-powered capabilities that improve the advertiser experience & ROI. + Establish best practices for experimentation, model evaluation, and responsible AI within the asset generation, ads personalization and supply expansion spaces. **Basic Qualifications:** + 5+ years as a Technical Leader (L7, Senior Staff, Principal, etc.) + 7+ years of industry experience with Machine Learning, AI, Data Engineering, or related solutions. + Bachelor of Science (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding, or equivalent technical experience. **Preferred Qualifications:** + 10+ years of industry experience (AI, Machine Learning, Data Science, or related) including prior experience working in the Tech domain. + Master's or PhD in Computer Science or a related discipline. + BS and 12+ years of relevant work experience, MS and 10+ years of relevant work experience, or PhD and 8+ years of relevant work experience. + Previous design and implementation of solutions in highly distributed environments. + Experience in the Advertising and Marketing domain. + Prior work designing and building scalable agentic systems. **Skills:** + Technical Leadership + AI Engineering + Enterprise ML Solutions **You will Benefit from our Culture:** We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. **Compensation:** LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $207,000 to $340,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** **Equal Opportunity Statement** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **Pay Transparency Policy Statement ** As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** **Global Data Privacy Notice for Job Candidates ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description Team Overview: The Assets, Formats & Placements team is part of our LinkedIn Marketing Solutions (Ads Technology) group. This team has a vision of building a content onboarding and asset generation platform, innovating in new ad formats and experimenting with new ad slot supply that can be monetized. The team also owns vertical products like hosting live events and B2B marketing aspects for those events and the strategy to monetize creators & publishers that post high quality video content on LinkedIn. Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in New York, NY. Responsibilities: As a Principal AI Engineer you will be setting the technical direction and foundation to build and own algorithms, models, and systems that power our LinkedIn ad tech platform. We are looking for a high performing and high ambition tech lead who will use AI/ML to push the boundaries of our ad stack and meet the future needs of our B2B advertisers. Define and execute technical vision for applying AI to accelerate the team's roadmap which includes asset generation using LLMs, personalizing ads at scale and new workflows that guide advertisers to building higher performing ads. Mentor and work with other Sr. Staff SWEs in the team to establish quality norms, processes and build a culture of operational excellence. Partner with Product, Data Science, and AI Research teams to translate business goals into scalable AI-powered capabilities that improve the advertiser experience & ROI. Establish best practices for experimentation, model evaluation, and responsible AI within the asset generation, ads personalization and supply expansion spaces. Qualifications Basic Qualifications: 5+ years as a Technical Leader (L7, Senior Staff, Principal, etc.) 7+ years of industry experience with Machine Learning, AI, Data Engineering, or related solutions. Bachelor of Science (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding, or equivalent technical experience. Preferred Qualifications: 10+ years of industry experience (AI, Machine Learning, Data Science, or related) including prior experience working in the Tech domain. Master's or PhD in Computer Science or a related discipline. BS and 12+ years of relevant work experience, MS and 10+ years of relevant work experience, or PhD and 8+ years of relevant work experience. Previous design and implementation of solutions in highly distributed environments. Experience in the Advertising and Marketing domain. Prior work designing and building scalable agentic systems. Skills: Technical Leadership AI Engineering Enterprise ML Solutions You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. Compensation: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $207,000 to $340,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

Who we are About Privy Our mission is to make privacy and user ownership the default online. We build simple, flexible developer tooling that make it easy to build products that put users first. By leveraging modern cryptography, we shift the status quo around digital ownership and protect the accounts and assets of millions of users. Engineering at Privy is not just about writing world-class code. We create software that turns complex technical systems into delightful developer tools. We assemble tried-and-true primitives into intuitive, responsive APIs and beautiful interfaces. We believe in open-source work and transparency with our teammates and users. We encourage each other to think big, run experiments and follow our curiosity so we can build better tooling that lets developers shine and empower their users. Learn more about Privy: Privy and Stripe: Bringing crypto to everyone What you'll do As a fullstack engineer at Privy, you will take on large areas of ownership in Privy's product, architecture, and infrastructure. Because we build a developer tool, engineering and product are inextricably connected. We value intuitive interfaces, simplicity, and rapid iteration. Above all, we are building a company together to ship products that users love. Design intuitive interfaces to break down complex systems and turn them into delightful developer tooling Build and integrate systems end-to-end across client-side and server-side APIs to enable a seamless developer experience Design and implement end-to-end product features driven by user needs Advocate for usability and interface coherence across our teams and products Enforce web development best practices across our entire product collaborating with other core stakeholders Minimum requirements 8+ years of experience. Deep knowledge of React, Typescript, Next.js Experience building and maintaining a production system at scale Prior experience working closely with a designer to iterate on a product An understanding of modern web development best practices Experience writing delightful developer documentation Preferred qualifications Strong preference for experience in an API-based business and in payments, fintech, or crypto. Written open-source developer tooling Published about your work (code, presentations, papers, blog posts, etc.) Past experience working closely with Design teams in authentication, security, or in web3