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About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. We are looking for a technically deep Engineering Manager to help define the future of the agent platform at Pinterest. Working closely with cross-functional engineering teams, product, and researchers, you'll lead a small and nimble team playing a pivotal role in architecting and scaling the systems that bring intelligent agent experiences to life. You will guide your team in designing and building the foundational platforms, from agent serving and evaluation to tracing and monitoring, that enable Pinterest's next generation of agent capabilities. You will grow and empower engineers while shaping how we build with and for agents at scale across the company. What you'll do: • Define the direction of Pinterest's agent platform and build critical components such as agent serving, evaluation, and monitoring., • Partner with and advise internal product and engineering teams on agent tech stack needs to shape the future vision for the agent platform., • Lead the team's technical direction and roadmap for key agent infrastructure and platform investments., • Hire, mentor, and grow engineers across all levels, fostering a culture of technical excellence, ownership, and continuous learning., • Use AI to accelerate team execution, system design, and decision-making, applying sound judgment to validate outputs and ensure correctness and quality. What we're looking for: • 1+ years of experience leading and growing engineering teams, with a strong hands-on background in Python., • 7+ years of industry experience designing, building, and operating scalable, highly available backend systems, including owning production-grade infrastructure at scale., • Proficiency in designing and delivering agent platform services end-to-end, with hands-on experience across agent evaluation frameworks, prompt iteration workflows, and harness engineering., • Experience with cloud infrastructure on AWS and containerized services using Docker and Kubernetes., • Demonstrated technical leadership and people management experience, including setting team vision and long-term roadmap, mentoring and growing engineers across all levels, driving day-to-day execution and engineering alignment, and partnering cross-functionally to deliver complex, high-impact platform investments., • Demonstrated ability to use AI to accelerate team execution, system design, and decision-making, paired with sound judgment in validating outputs, maintaining quality, and taking ownership of final outcomes., • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)., • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables., • Bachelor's degree in a relevant field such as Computer Science or Engineering, or equivalent experience. In-Office Requirement Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role., • This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-HYBRID #LI-AH2 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$177,185—$364,795 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

As a Software Engineer on the Machine Learning Infrastructure team, you will build the "Operating System" for our large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads, ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the world's most advanced models. The ideal candidate is a systems expert who thrives on solving the orchestration, networking, and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless, resilient environment that transforms raw compute into breakthrough AI. • Architect and scale a multi-tenant orchestration layer that abstracts away the complexity of GPU clusters, ensuring high utilization and seamless job recovery., • Design and implement scheduling primitives to optimize the lifecycle of training jobs., • Develop deep observability and automated health-checking into the training stack to proactively identify and isolate hardware failures, • Evaluate and integrate emerging technologies in the CNCF and AI ecosystem (e.g. Ray, Kueue), making data-driven build vs. buy decisions that balance velocity with long-term maintainability., • Work closely with Finance and Procurement teams to drive our capacity planning process., • Participate in our team's on call process to ensure the availability of our services., • Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment., • 5+ years of experience in backend or infrastructure engineering, with at least 2 years focused on orchestrating ML workloads at scale (100+ GPU nodes)., • Strong programming skills in one or more languages (e.g. Python, Go, Rust, C++), • Experience with complex compute management systems that cover queueing, quotas, preemption, and gang scheduling., • Experience with distributed training infrastructure, such as EFA, Infiniband, and topology-aware scheduling., • Experience with distributed storage systems (e.g. Lustre, S3) as they relate to training throughput, • Expert-level knowledge of Kubernetes internals (Custom Resources, Operators, Admission Controllers) and how they interact with device plugins for specialized hardware., • Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform)., • Proven ability to solve complex problems and work independently in fast-moving environments., • Experience with distributed training techniques such as DeepSpeed, FSDP, etc., • Experience with the NVIDIA software and hardware stack (CUDA, NCCL), • Experience with PyTorch About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. Pinterest is seeking a Sr. Engineering Manager to lead the Content Acquisition & Media Platform (CAMP) team. The CAMP team owns the critical platforms for content acquisition, media ingestion and media signal processing. The team closely collaborates with multiple partner teams bringing the most inspiration content to Pinterest to enhance the content foundation of all products, adopting LLM/VLM in a near real-time system to understand content and build fundamental signals for LLM innovations, and standing in the frontier to meet GenAI compliance requirements. What you'll do: • Lead a cross-platform team responsible for content acquisition, media ingestion and media signal platform., • Set the team's technical direction and drive execution on quality, performance, and reliability, • Partner closely with Content, Shopping catalog and GenAI teams to improve Pinterest content ecosystem., • Guide the team through platform and architectural decisions, balancing product needs, technical investments, and long-term maintainability., • Build and grow a high-performing team through hiring, coaching, and developing engineers., • Raise the bar on engineering excellence through strong operational practices, performance measurement, testing, and release quality., • Help Pinterest to meet GenAI compliance requirements, • Thoughtfully leverage AI tools to speed up design, coding, debugging, and documentation, while applying your own critical thinking to validate outputs and explain how you used AI in your workflow., • Shape our AI-assisted engineering practices by sharing patterns, guardrails, and learnings with the team so we can safely increase our impact without compromising code quality, reliability, or candidate expectations. What we're looking for: • 9+ years of software engineering experience, including distributed system and big data platform, • 5+ years of engineering management experience leading strong client or platform engineering teams., • Deep understanding of crawling system, media ingestion, understanding and management, big data process., • Familiarity with search and recommendation system, GenAI compliance., • A track record of delivering meaningful improvements to product experience, system performance, or engineering efficiency., • Ability to lead work across platforms and collaborate effectively with cross-functional partners., • Clear communication skills, strong technical judgment, and a people-focused leadership approach., • Experience using AI coding assistants and agentic tools as a force-multiplier, and equally comfortable solving problems from first principles when those tools aren't available. Relocation Statement: • This position is not eligible for relocation assistance. Visit our ___ page to learn more about our working model. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration 1 time a week and therefore needs to be in a commutable distance from one of the following offices Palo Alto, San Francisco, Seattle #LI-HYBRID #LI-SG1 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$245,402—$429,454 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Scale's Physical AI business unit is dedicated to solving the data bottleneck across Robotics, Autonomous Vehicles, and Computer Vision. This position will be a key contributor in conducting applied research in Physical AI and developing ML pipelines for processing, training, and fine-tuning on data collected by Scale, with a specific focus on optimizing algorithms and pipelines to run efficiently on GPUs in the cloud. In this role, you will have the opportunity to advance research, shape Scale's offerings, and expand the frontier of data and model evaluation for Physical AI. The Role As an ML Systems Engineer on the Physical AI team, you will design and build platforms for scalable, reliable, and efficient serving of foundation models specifically tailored for physical agents. Our platform powers cutting-edge research and production systems, supporting both internal research discovery and external customer use cases for autonomous vehicles and robotics. The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You'll work in a highly collaborative environment, bridging the gap between Physical AI research and production engineering to accelerate innovation across the company. You Will: • Build & Scale: Maintain fault-tolerant, high-performance systems for serving robotics-related models and foundation models at scale, ensuring low latency for real-time applications., • Platform Development: Build an internal platform to empower model capability discovery, enabling faster iteration cycles for research teams working on robotics., • Collaborate: Work closely with Robotics researchers and Computer Vision engineers to integrate and optimize models for production and research environments., • Design Excellence: Conduct architecture and design reviews to uphold best practices in system scalability, reliability, and security., • Observability: Develop monitoring and observability solutions to ensure system health and real-time performance tracking of model inference., • Experience: 4+ years of experience building large-scale, high-performance backend systems, with deep experience in machine learning infrastructure., • Algorithm Optimization: Deep experience optimizing computer vision and other machine learning algorithms for cloud environments, including GPU-level algorithm optimizations (e.g., CUDA, kernel tuning)., • Programming: Strong skills in one or more systems-level languages (e.g., Python, Go, Rust, C++)., • Systems Fundamentals: Deep understanding of serving and routing fundamentals (e.g., rate limiting, load balancing, compute budgets, concurrency) for data-intensive applications., • Infrastructure: Experience with containers (Docker), orchestration (Kubernetes), and cloud providers (AWS/GCP)., • IaC: Familiarity with infrastructure as code (e.g., Terraform)., • Exposure to Vision-Language-Action (VLA) models., • Knowledge of high-performance video processing (e.g., FFmpeg, NVDEC/NVENC) or 3D data handling (point clouds). About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. The IT Collaboration and Productivity Engineering team builds and runs the collaboration and productivity platforms that power how Pinployees communicate, share information, and get work done. We own core SaaS platforms such as Google Workspace, O365, Gemini, Jira, Confluence, Slack, and other collaboration, productivity, and AI tools, and partner closely with Security, People, Legal, and Engineering to design secure, reliable, and intuitive experiences. As a Staff Collaboration Systems Engineer primarily focused on Google Workspace, you will be the technical lead for our Workspace environment and a key owner for other collaboration platforms (including O365, Highspot, Gemini, and AI-powered collaboration tools) - shaping their longterm architecture, driving major crossfunctional initiatives, and mentoring others in building robust, automationdriven solutions. What you'll do: • Own the Google Workspace platform endtoend - act as the primary technical authority for Gmail, Calendar, Drive/Shared Drives, Docs/Sheets/Slides, Groups, Chat/Spaces, Meet, and related services, including tenant configuration, routing, directory/OU design, and policy governance., • Design and evolve the collaboration architecture - define standards, guardrails, and best practices for domains, org structure, resource hierarchy, external sharing, retention, and data protection to support a global, hybrid workforce., • Lead incident response and complex troubleshooting for highimpact Workspace issues, driving rootcause analysis, longterm fixes, and learningoriented postmortems in partnership with IT Operations, Security, and vendors., • Build automation and integrations using scripting (e.g., Apps Script, Python, or similar) and Google Workspace APIs/SDKs to streamline user and group lifecycle, license management, configuration as code, and health/usage monitoring., • Integrate Google Workspace with identity, security, and IT workflows (e.g., SSO/IdP, MDM, DLP, ediscovery/archival, logging, ITSM) in close collaboration with Security and other infrastructure teams., • Use AI as a force multiplier for your work - for example, using AI assistants to draft scripts, configuration templates, documentation, or runbooks - while validating outputs through tests, dryruns, and peer review, and maintaining full ownership of the final results., • Lead crossfunctional projects such as Workspace migrations, domain consolidations, tool rationalization, and new collaboration patterns (e.g., shared drives strategy, calendar/resource strategy, Chat/Spaces usage) from design through rollout., • Mentor and uplevel other engineers by reviewing designs and implementations, sharing best practices, and providing clear guidance aligned to Role Expectations Guides (REGs), leveling criteria, and Pinterest competencies., • Represent the team with stakeholders across the company, translating business needs into durable technical solutions, communicating tradeoffs, and ensuring decisions reflect "Act as one" and "Create belonging" for our global workforce. What we're looking for: • 8+ years of experience in IT systems or collaboration/platform engineering, including significant hands-on ownership of Google Workspace in a medium-to-large environment., • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience., • Deep Google Workspace experience running large or complex environments (ideally multi-domain or multi-org), across Gmail, Calendar, Drive/Shared Drives, Groups, Chat/Spaces, and Meet., • Strong systems design and troubleshooting skills, including debugging issues that span clients, network, identity, and backend services., • Solid scripting and automation skills (e.g., Google Apps Script, GAM, Python), and experience using Google Workspace APIs/SDKs to automate lifecycle, configuration, and reporting., • Experience implementing and operating security, privacy, and compliance controls such as DLP, retention/legal hold, e-discovery, external sharing policies, SPF/DKIM/DMARC, and access reviews., • Experience integrating Google Workspace with identity (SSO/SCIM), MDM/endpoint tools, logging/observability, and ticketing/ITSM systems., • Proven use of AI tools to speed up engineering or operations work (e.g., generating code, runbooks, or summaries), with a clear approach to validating outputs, reducing bias, and protecting reliability and security., • Track record of operating at a staff-level scope: leading large, complex initiatives, shaping cross-team roadmaps, and owning impactful outcomes., • Ability to lead and mentor other engineers, give clear technical direction, and partner effectively with managers, product owners, and stakeholders., • Comfort working across diverse teams and locations, consistently modeling Pinterest's values: putting Pinners and Pinployees first, aiming for high quality, acting as one team, and approaching challenges with a "win or learn" mindset. In-Office Requirement Statement • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role., • This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country, with a preference for candidates based on the West Coast. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-REMOTE #LI-JD3 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$158,765—$326,870 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: Planet's mission is to image the entire world every day, making global change visible, accessible, and actionable. We are at a critical inflection point: operationalizing promising AI research into delivery-focused enterprise "productization". To drive this, we are building a new product group focused on launching an AI Geospatial Assistant that transforms how our customers interact with global imagery to solve high-stakes problems in forensics and daily change detection. Our goal is to make these complex insights accessible through an intuitive interface that requires zero user training. Operating with a zero-to-one startup mindset, this team prioritizes weekly learning velocity and customer-driven graduation criteria to move rapidly from private alpha to general availability. As our Senior Engineering Manager, you are tasked with leading the team, with your product partner through this transition. You will lead a high-velocity squad of engineers, transitioning geospatial AI capabilities into a robust, market-ready product. Your focus is on operational excellence, defining success thresholds, managing scope, and ensuring that our bleeding-edge tech graduates into a dependable tool that provides a durable competitive advantage for our customers. This is not a traditional Engineering Manager role. The EM for this team is expected to be personally AI-native, someone who builds with AI tools daily, thinks actively about how AI is changing what engineering teams look like, and is prepared to pioneer a culture where AI is a core collaborator in the development process, not a tool to be managed cautiously. This is a full-time, hybrid role which will require you to work from our San Francisco office 3 days per week. Impact You'll Own: • Build a High-Density Talent Engine: You will be responsible for the full talent lifecycle-from sourcing and hiring the initial high-agency founding squad to designing an onboarding experience that gets specialists productive in a complex geospatial domain., • Establish a Culture of Extreme Ownership: Foster an environment where engineers own customer outcomes rather than just technical tasks. You will define what accountability looks like in a high-uncertainty, non-deterministic AI environment., • Team Operations: Design and iterate on the team's "operating system" (e.g., sprint cadences, RFC processes, and automated testing) to ensure the shift from research to product is supported by rigorous engineering discipline., • Collaborate with AI Researchers: Work closely with our AI Research Team to understand their models, workflows, and emerging capabilities, then guide your team in translating research into production ready systems that deliver real value to users., • Establish Evaluation-Led Development: Ensure the team builds "Evals" (automated benchmarks) before they build features, ensuring that we measure improvement velocity rather than just raw output., • Career Architecture & Mentorship: Actively coach and mentor a diverse group of engineers (from Fullstack to Applied AI), navigating their career paths and maintaining high levels of psychological safety and engagement., • Strategic Roadmapping & De-risking: Partner with Product and Design to translate the ai.planet.com vision into a realistic technical roadmap, identifying "long-pole" technical risks early to keep the team unblocked., • 6+ years of relevant experience, • 4+ years of experience leading software engineering teams, • Bachelor's degree in a relevant field, • Track record of hiring and leading founding engineering teams in a startup or high-growth "intrapreneurial" environment., • Personally AI-native: you write production code with AI tools, have strong opinions on how AI is changing the engineering SDLC, and are prepared to build a culture where AI is a core collaborator, not a compliance consideration, • Experience and enthusiasm for leading AI engineering teams that have successfully elevated research prototypes into production-grade applications. This enthusiasm should not only inform the product features, but should also foster a culture of developer workflows that take an AI-assisted development approach, • Expert in the "human element" of engineering-managing conflict, delivering difficult feedback, and keeping a team motivated through the inevitable pivots of an early-stage product., • Ability to identify "process bugs" (why a team is slowing down) and implement the cultural or structural changes needed to restore velocity., • Technical Breadth: While you may not be the deepest specialist on the team, you have the breadth to synthesize input from AI researchers and frontend experts to make sound architectural and personnel decisions. This includes an ability to identify optimizations that may be better handled with a collaboration with a research team (eg. request development of a fine tuned model for a slow but simple LLM call), • Pragmatic Execution: A "good enough-move on" mentality that avoids seeking perfection at the cost of delivering meaningful customer value., • Impact focused: You are excited by building an application that once launched, will give researchers, journalists, governments, and NGOs the ability to explore the world using natural language and surface crucial insights that used to take months to find., • LLM Observability and Monitoring: Prior experience with tools and techniques for managing non-deterministic systems (e.g., LangSmith, Arize, or similar)., • Public Leadership: You are comfortable representing the team's work to executive leadership and external stakeholders, acting as a "shield" for your team so they can focus on building., • Product-First Mindset: A track record of balancing technical excellence with the urgency of market delivery and "graduation criteria". May 19, 2026 at 11:59p PT Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office) The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range$182,900—$228,600 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. ___ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. As a principal engineer on the Online Systems team, you'll join a team that powers Pinterest's most business-critical online systems at massive scale, driving the reliability, efficiency, and evolution behind every core Pinner and Advertiser experience. You'll lead major efforts like multi-region deployment and Kubernetes migration, set the standard for operational excellence, and define the long-term vision for our online serving infrastructure, supporting machine learning and product innovation across the company. This is an opportunity for high-impact technical leadership, broad visibility, and cross-functional influence at the heart of Pinterest's platform. What you'll do: • Improve reliability, scalability and infra efficiency for Pinterest's critical online systems across storage and caching, online service and realtime analytics systems to support continued business growth., • Lead cross-functional strategic initiatives to modernize Pinterest's online serving stack through multi-region deployment, Kubernetes migration, and the adoption of cutting-edge technologies and industry best practices., • Quality champion for online systems and the broad engineering organization, holding a high bar on execution quality and operational excellence., • Drive the online systems vision and strategy for the next 3 years and beyond, and translate that strategy into cross-functional roadmaps with measurable outcomes., • Foster a diverse and inclusive engineering culture that makes all feel welcome, and invest in mentorship, critical thinking, and candid feedback to strengthen individual and organizational growth. What we're looking for: • 12+ years of software engineering experience with deep expertise in distributed systems, especially online serving, storage, and caching systems: hands-on experience building and operating highly available, reliable, production-grade systems at large scale; strong technical judgment in reliability, scalability, performance, and infrastructure efficiency; proficiency in at least one of C++, Java, or Python., • Proven track record driving large-scale technical impact: experience leading reliability and scalability improvements, cost efficiency initiatives, and modernization efforts across critical production systems; able to define technical strategy, influence architecture decisions, and drive execution through cross-functional collaboration, strong communication, and operational excellence., • Strong ownership, quality mindset, and thoughtful use of AI: demonstrates high standards for engineering quality, integrity, and accountability for final outcomes; able to use AI to accelerate analysis, debugging, design exploration, or operational workflows while applying critical thinking, validating correctness, and maintaining sound technical judgment rather than outsourcing ownership to tools., • Exceptional collaboration skills with cross-functional partners, with the ability to navigate ambiguity, make tradeoffs, and keep stakeholders aligned on priorities and progress., • Bachelor's degree in Computer Science, a related technical field, or equivalent experience. Relocation Statement: • This position is not eligible for relocation assistance. Visit our ___ page to learn more about our working model. In-Office Requirement Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role., • This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore needs to be in a commutable distance from one of the following offices: PA or SF offices. #LI-HYBRID #LI-CL5 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$285,452—$499,541 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

We're looking for an AI Agent Solutions Architect for our Datagrid division to lead the design, customization, and deployment of intelligent agent systems in real-world customer environments. This role is ideal for someone who thrives at the intersection of LLM architecture and customer implementation. You'll design reusable agent frameworks, develop complex prompt strategies, and integrate our agents into customer workflows across enterprise ecosystems. You'll work cross-functionally with product, engineering, and customer teams to deliver outcomes that scale. This position will report to our Senior Manager, Customer Success Engineering and the location is Bay Area, San Francisco, CA only. * Design modular, scalable AI agents that reason, take action, and communicate with users across channels. * Meet with and partner closely with customers to understand their use cases and tailor agent workflows to their systems, tools, and data. * Build and optimize multi-step agent chains using prompt engineering, tool integration, and memory/state handling. * Develop proof-of-concept deployments and iterate toward production-ready solutions with enterprise clients. * Integrate external APIs, databases, internal systems, and retrieval-augmented generation (RAG) pipelines into agent frameworks. * Work alongside ML engineers to define performance metrics and improve agent reliability and explainability. * Build internal tooling for prompt versioning, A/B testing, and agent performance feedback loops. * Contribute to reusable design patterns, internal documentation, and knowledge sharing for field-facing solutions. * 3+ years in software engineering, ML development, or solutions architecture with 2 years working on LLMs or agentic systems. * Deep expertise in prompt engineering, agent orchestration, tool use, and stateful reasoning systems * Hands-on experience with frameworks like LangChain, AutoGen, Semantic Kernel, or similar. * Strong programming skills in Python and familiarity with APIs, webhooks, and AI infrastructure. * Experience deploying AI-driven systems in enterprise or production environments. * Familiarity with vector databases, embeddings, and RAG architecture. * Strong client communication skills and a passion for delivering AI that solves real problems * Bonus: Knowledge of symbolic reasoning, knowledge graphs, or multi-modal agents. * A technical problem solver who loves translating ambiguous goals into scalable AI systems. * A customer advocate who enjoys working directly with users to design meaningful solutions. * A builder who ships fast, learns on the fly, and iterates quickly. * A collaborator who bridges the gap between product vision and technical execution. * A startup-minded contributor who thrives in fast-moving, high-ownership environments. If you thrive at the intersection of strategy, customer engagement, and data-driven success, we'd love to connect with you! Base Pay Range: 103,960.00 - 142,945.00 USD Annual This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location. Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. What you'll do: • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest, • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas, • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval, • Work in a high-impact environment with quick experimentation and product launches, • Keeping up with industry trends in recommendation systems What we're looking for: • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning), • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark), • Degree in computer science, machine learning, statistics, or related field, • Nice to have:, • M.S. or PhD in Machine Learning or related areas, • Publications at top ML conferences, • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring, • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration, • Expertise in scalable realtime systems that process stream data, • Passion for applied ML and the Pinterest product Relocation Statement: • This position is not eligible for relocation assistance. Visit our ___ page to learn more about our working model. #LI-SA1 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$138,905—$285,982 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

The Bay Area Air Quality Management District (Air District) is a regional government agency, committed to achieving clean air to protect the public's health and the environment. The Air District accomplishes this goal through regulation of industrial facilities and various outreach and incentive programs designed to encourage clean air choices. The Air District's jurisdiction encompasses all of seven counties - Alameda, Contra Costa, Marin, San Francisco, San Mateo, Santa Clara and Napa, and portions of two others - southwestern Solano and southern Sonoma. The Air District is currently accepting applications for the position of Air Quality Engineer I/II in the Engineering Division. This is an open recruitment for up to three (3) vacancies which are full-time, represented positions. DEFINITION Under direction, performs professional engineering work in a variety of areas such as permit application evaluation, calculation of air pollutant emissions, toxic risk screening and health risk assessment evaluations, compliance audits and sources testing; performs related work as assigned. DISTINGUISHING CHARACTERISTICS Air Quality Engineer I is the entry-level class of this series. Initially under close supervision, incumbents perform a variety of routine air quality engineering duties while learning District policies and procedures and specialized air quality knowledge. With experience, the work becomes increasingly more diversified and difficult and requires increasing independence of judgment. This class is alternately staffed with Air Quality Engineer II and incumbents may progress to the higher level after gaining experience and demonstrating proficiency which meet the qualifications for the higher level class. About the Position The Engineering Division evaluates permit applications and reviews permit renewals for equipment and operations that emit air pollutants in the Air District's jurisdiction. The division provides technical support to other agency programs and assists businesses, trade associations, agencies, environmental groups, and community members with issues related to permitting and compliance. Beyond specific permitting work, some of the important programs and projects in which the Engineering Division are actively engaged include but not limited to: • Emissions modeling of toxic air contaminants including Health Risk Assessments, • Verification of emissions inventories, • Data/database development and management, • Technical support for rules and regulations EXAMPLES OF DUTIES (Illustrative Only) Reviews and evaluates permit applications, including calculating emission rates and permit fees, determining compliance or non-compliance with air quality regulations, determining and recommending best available control technology, defining permit conditions and issuing authority to construct permits; screens and processes annual data updates for permits. Participates in calculating, reviewing and correcting the emissions inventory; evaluates accuracy of source emission calculations and methodologies. Responds to industry, public and District inquiries regarding regulation interpretation, permit preparation, various compliance measures and emission calculation methods in person, by telephone and in writing. Develops and recommends revisions to District procedures and regulations. Reviews permit and enforcement files to prepare materials and responses for variance requests, violation notices and case summaries and hearing board referrals; recommends appropriate actions; may testify on behalf of the District. Conducts on-site compliance inspections of sources and abatement devices; evaluates compliance and recommends enforcement actions. Uses a computer terminal and a variety of software and programs to make engineering calculations, enter and retrieve data and to monitor and correct data entry; investigates and corrects errors in the data bank. Conducts toxic risk screening and risk assessment analyses; calculates toxic emissions, determines and applies appropriate air dispersion model, calculates maximum concentrations and calculates risk; recommends approval or denial of permit application. Conducts environmental audits, compliance inspections and source tests; evaluates results and recommends appropriate actions, including violation notices. Operates, maintains and calibrates instruments; prepares and dismantles testing equipment and materials; fabricates specialized equipment. May coordinate assigned engineering projects. Education and Experience: A typical way to obtain the knowledge and skills is: Air Quality Engineer I: Equivalent to graduation from a four year college or university with major coursework in environmental, chemical, mechanical or petroleum engineering or a closely related field and two years of experience in mechanical, industrial, chemical, petroleum or related process engineering. Air Quality Engineer II: In addition to the above, two years of air quality environmental engineering experience. Interested individuals must submit a completed BAAQMD application and responses to the supplemental questions. This is a continuous recruitment. Applications are accepted online only. Please visit our website at ___to apply or to download an application. Resumes can be included, but not in lieu of the required application materials. Postmarks, faxes, and E-mailed applications will not be accepted. Except as requested in this announcement, do not include any additional documents, such as letters of recommendation, performance evaluations, work samples, etc. They will not be considered or returned. Supplemental Questionnaire Instructions: Individuals who apply for this position must respond to each of the supplemental questions. The responses to the supplemental application questions will be used in accordance with the procedures indicated under the Selection Criteria in the vacancy announcement. Your responses should be as detailed as possible. Instructions: • Please limit your responses to one page per question., • Do not combine your responses, or reference your application, resume, or any other requested documentation that you have included with your application packet to answer a question. SELECTION CRITERIA: Selection may be based upon a competitive examination consisting of a written exercise, interview, or combination of the two. Depending on the number of qualified applicants, an application screening and/or panel interview may be used to determine the most qualified applicants. The Air District may hire from this recruitment process to fill future vacancies occurring within the next 18 months. Updates regarding your status in the recruitment will be sent via email, unless you indicate a different preference on your application. Persons with disabilities who may require reasonable accommodations during the application and/or selection process should notify the Human Resources Office at (415) 749-4980. The Air District is an Equal Opportunity Employer.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. Pinterest is at one of those rare inflection points that comes along once in a generation. The way software gets built is changing fundamentally - AI agents are beginning to write code, review pull requests, debug production incidents, and orchestrate entire features. Pinterest is not watching this transformation from the sideline. We are choosing to lead it. We are looking for a Principal Engineer to serve as a technical force multiplier for our Engineering Acceleration organization - a team of 60-80 engineers whose mission is to 10x how fast, and how well, every engineer at Pinterest builds. This is a startup-within-a-company opportunity: the charter is ambitious, the problems are largely unsolved, and the systems you build will define how an entire engineering organization operates for years. As Principal Engineer for Agentic Engineering, you will architect and ship the foundational platform and capabilities that enables AI agents to operate as integrated participants in Pinterest's software development lifecycle. You will design the agent runtimes, memory systems, orchestration frameworks, evaluation pipelines, and governance models that make it possible for 3,000+ engineers to build alongside AI agents - safely, measurably, and at scale. This is not a strategy-only or governance-only role. Architecture authority here is earned through production systems, measurable impact, and technical depth. You will write code. You will build reference implementations. You will take the hardest, most ambiguous problems and move them from concepts to operational systems - and in doing so, set the standard for how Engineering Acceleration builds. You will work without a direct reporting team but with broad organizational authority. The Senior Director of Engineering Acceleration, VP of Engineering, and Chief Architect will look to you as a key technical advisor - a trusted partner and primary delegation point for the hardest technical questions facing this organization. Your instincts will shape hiring bars, investment decisions, and multi-year technical direction. What you'll do: • Define and drive Pinterest's technical strategy for agentic engineering - building the platform where AI agents write code, review pull requests, debug production incidents, and orchestrate development workflows across 3,000+ engineers, • Architect and ship production systems - modular agent runtimes, persistent memory, multi-agent orchestration (planner, executor, reviewer, tool agents), sandbox isolation, evaluation pipelines, governance (trust boundaries, code generation policies, credential protection, audit trails), and enterprise-grade security, • Reimagine Pinterest's SDLC - transforming coding, testing, reviewing, deploying, and monitoring into an AI-native lifecycle where humans move from "in the loop" to "on the loop", • Own developer velocity measurement - telemetry, benchmarking, and evaluation systems that track agent quality, reliability, cost, and engineering throughput, building structured feedback loops that compound toward order-of-magnitude velocity gains, • Serve as technical force multiplier across Platform, Infrastructure, and Engineering Acceleration - integrating AI-native workflows with Pinterest's monorepo tooling, CI/CD pipelines, observability, and code quality systems while providing architectural direction, making disciplined build-vs-buy decisions, and setting quality standards through reference implementations, • Drive engineering-wide adoption - through compelling prototypes, reference architectures, technical evangelism, and documentation that makes the abstract concrete, • Build strategic relationships with AI platform vendors - such as Anthropic, OpenAI, AWS, Google and contribute to open-source agentic frameworks to keep Pinterest at the leading edge, • Translate ambiguous business opportunities into precise engineering investments with strong product sensibility - building platforms with the developer experience and adoption characteristics that generate real impact, • Serve as key technical advisor and delegation point - working with the Sr. Director, Engineering Acceleration, VP, Infrastructure, and Chief Architect - shaping investment priorities and multi-year technical direction What we're looking for: • 12+ years of software engineering experience with deep expertise in building developer platforms, internal tooling, or engineering infrastructure that measurably changed how engineers work at scale, • Demonstrated hands-on experience designing and shipping agentic AI systems in production - including knowledge and context engineering, persistent memory architectures, multi-agent orchestration frameworks (LangChain, LangGraph), tool integration, and production observability for AI systems, • Experience working in large-scale monorepos or complex multi-service codebases and understanding the unique tooling, navigation, and developer workflow challenges they create, • Familiarity with agentic development best practices - AGENTS.md conventions, skills frameworks, prompt engineering for code agents, and hands-on experience accelerating developer velocity through AI-powered IDEs and local agentic workflows, • Track record of driving sweeping technical change across large engineering organizations (500+ engineers) without direct authority - through compelling vision, high-quality reference implementations, and credibility earned from shipping systems that work, • Deep understanding of modern SDLC tooling and workflows: code review systems, automated testing, CI/CD pipelines, static analysis, and the judgment to know how these systems must evolve when AI becomes a first-class participant, • Exceptional cross-functional influence and communication skills - comfortable operating across Security, Infrastructure, Platform, and Product Engineering. Able to handle complex technical conversations at any level, from staff engineers to CTO, • Strong product sensibility and business judgment - ability to convert ambiguous opportunities into precise technical direction, understand developer needs before they're articulated, and build platforms that developers want to adopt, • Bachelor's degree in Computer Science, a related field or equivalent experience Relocation Statement: • This positionis not eligible for relocation assistance. Visit our ___ page to learn more about our working model. In-Office Requirement Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role., • This role will need to be in the office for in-person collaboration1-2 times every 6-months and therefore can be situated anywhere in the country. #LI-REMOTE #LI-SG1 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$242,634—$499,541 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: The Electro-Optical Systems team at Planet is seeking an Opto-Mechanical Engineer to help drive the design of payloads in Planet's fleet of Earth-imaging satellites. Your mission will be to champion our payload design efforts, with a specific focus on opto-mechanical design and manufacturing. The ideal candidate will be a seasoned opto-mechanical designer who has led optical system engineering efforts across multiple programs from conceptual design through flight. As a member of the Electro-Optical Systems team within Planet's Space Systems division, you will be a key contributor and stakeholder in Planet's agile aerospace approach to spacecraft design, and will work hand-in-glove with optical engineering, structural analysis, thermal engineering, and reliability & qualification, as well as the rest of Planet's leading-edge spacecraft design and manufacturing teams. This is a full-time, in-office position based in our San Francisco HQ 5 days per week. Impact You'll Own: • Own the opto-mechanical manufacturing process of optical payloads on Planet's next-generation satellites, • Design the manufacturing line for mid-volume production of optical payloads. Make first principle based, data-driven decisions throughout the design process to ensure efficient assembly and test processes, • Collaborate with cross-functional teams such as structural, thermal analysts and optical engineer groups to drive and perform analyses to ensure payloads meet stiffness, strength, thermal, and launch survivability requirements, as well as maintain on-orbit performance through STOP (Structural, Thermal, Optical Performance), • Drive part and assembly design, manage fabrication with key vendors, perform failure analysis, and execute tolerance stackup and GD&T analyses to ensure precision and reliability, • Develop and maintain comprehensive design documentation, • Lead technical presentations and reviews across all design review gates, • Support test planning and qualification test campaigns, • Bachelor's degree in Mechanical Engineering, Aerospace Engineering, or a related technical field., • 4+ years experience owning the development of opto-mechanical products from requirements through conceptual design, testing and manufacturing, • Experience designing for high-reliability space environments including launch survivability, vacuum conditions, on-orbit performance through thermal conditions (STOP), • Experience in the design and fabrication of optical assemblies, incorporating components made from glass, carbon fiber, metals, ceramics, epoxies, as well as mechanisms and electrical elements, • Practical and direct engagement with hardware, from prototyping to production and testing phases, • Excellent analytical and problem-solving skills, • Experience working in a dynamic environment while driving projects to completion, • Expertise in optics / opto-mechanical manufacturing, metrology, alignment and calibration, • Ability to build out the manufacturing line for precision optical systems, • Experience with dynamic hardware builds, vibration and shock testing, telescope assembly, and optical performance testing, • Experience applying systems engineering principles to optimize optical payload integration, focusing on requirements management, trade-off analysis, and balancing system-level constraints such as cost, schedule, and performance, • Ability to drive manufacturers and DFM/DFA July 1, 2026 at 11:59pm PT EAR/ITAR Requirements: This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate's ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office) The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range$128,400—$160,500 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. ___ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The next frontier for AI is the physical world. At Scale, we're pioneering this shift, moving artificial intelligence from digital spaces into robotics and autonomous systems. Our Robotics team is building the data platform that will power the future of Physical AI. We are looking for a pivotal Solutions Engineer, to be based in our San Francisco Corporate Headquarters. As a Solutions Engineer, you'll be a trusted technical partner, building deep relationships with some of the world's most innovative model builders and renowned robotics companies. You will partner closely with Product, Sales and Machine Learning Engineers to guide prospective customers through the pre-sales process, delivering customized demos and pilots that secure the "technical win." You'll define customer technical requirements, develop actionable Statements of Work, and collaborate with the delivery team on initial implementation. Your relentless curiosity about customer needs, combined with your expert knowledge of Scale's products will allow you to design creative and impactful solutions. This is a critical role that directly influences multi-million dollar contracts and initiatives. You'll travel globally to conduct on-site technical workshops and scope new projects, while also leading demos and pilots for new prospects. You'll be part of a tight-knit, specialized team, influencing a rapidly growing business that is expanding into new product areas. In this role, you will: • Partner with Scale Account Executives and Engagement Managers to deliver new customer pilots and grow technical relationships with existing clients., • Work with Product Engineering and Product Management to influence our product roadmap based on your frontline insights., • Become a domain expert in next-generation Robotics and physical AI (e.g. VLMs, VLAs, World Models), • Be accountable for the technical customer experience and commercial growth, expanding relationships and use cases with existing customers., • Collaborate with highly technical engineers at our customer sites to ensure satisfaction with our data, software platforms, and workflows., • Design and develop playbooks, demos, and other tools to ensure efficient and successful pilots and customer expansions., • Pioneer the development of a global Robotics Data Marketplace, actively seeking out and engaging with key international partners to build a comprehensive data ecosystem., • A strong engineering background, preferably in Robotics, Mechatronics, Computer Science, Mathematics, or other Engineering fields., • 3+ years of experience developing with Python, C++, Java, and/or other scripting languages., • Hands-on experience in Robotics and Physical AI, • Exceptional project management and interpersonal skills, strong attention to detail, and a strong sense of ownership., • The presentation skills and technical credibility to speak confidently with a variety of stakeholders, from executives to front-line engineers., • A high level of comfort communicating effectively across internal and external organizations., • Regular travel within the Bay Area., • International travel approximately once every two months., • Prior sales, solutions engineering, or partnership experience with a track record of successfully achieving quota. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Overview The Sr Hardware Automation Engineer solves key workflow problems in large, complex health systems. Supports a full technology stack of automated lab and software sequencing. On-site South San Francisco Responsibility • Applies principles, theories, and concepts from the broader industry to improve the Myriad platform., • Own all aspects of the design process, prototyping, testing, and deployment for a fully automated robotic platform., • Design layout, process, and custom components for a modular robotics platform by utilizing mechanical, electrical, and software expertise., • Work with other development teams to integrate processes into custom robotic platform., • Identify and drive process improvements to maximize the level of hands-free automation throughout the lab., • Develop automation related documentation for effective operation and maintenance of automated equipment., • Train and mentor junior Automation Engineers., • Travel to Myriad locations as needed during certain project phases. Qualifications • Bachelor's degree in mechanical, electrical, biomedical engineering, or related field required., • 8+ years of experience with electro-mechanical design, assembly, wiring, and troubleshooting., • 5+ years of experience integrating 3rd party devices (system integration)., • Experience with mechanical CAD software (SolidWorks, OnShape)., • Experience documenting designs (BOMs, drawings) and working with contract manufacturers., • Proficiency with text-based PLC programming or Python and terminal usage., • Demonstrated success in leading cross-functionally with multiple groups on projects. Physical Requirements Lifting Requirements - light work or exerting up to 20 pounds of force frequently. Physical Requirements - stationary positioning, moving, operating, ascending/descending, communicating, observing, pushing or pulling, and reaching. Use of equipment and tools necessary to perform essential job functions. Applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder) The Bay Area compensation range for this role starts at $145,000, with a market midpoint of $183,000. #LI-KO1 #AutomationEngineering #RoboticsEngineering #MechanicalEngineering #ElectricalEngineering #BiomedicalEngineering #SystemsIntegration #ElectroMechanicalDesign #CADDesign #SolidWorks #OnShape #ProcessImprovement #LabAutomation #PLCBasedSystems #PythonEngineering #AutomationInnovation #RoboticsPlatform #EngineeringLeadership #MentorEngineers #HandsFreeAutomation #ContractManufacturing #BOMDocumentation #TechnicalDesign #AutomationJobs #EngineeringCareers #MyriadGenetics EEO We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. In hiring and all other employment decisions, we prohibit discrimination and harassment on the basis of any protected characteristic, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure. We're seeking a Distinguished Engineer - a hands-on technical leader operating at the VP level - to shape the vision and technical roadmap of our core AI/ML infrastructure that powers enterprise AI applications. Reporting directly to the SVP of Engineering, Enterprise AI, this individual will drive long-term technical direction for our Scale GenerativeAI Platform (SGP), influence architectural decisions across the company, and partner closely with engineering and product leaders to bring advanced AI capabilities to enterprise customers. You'll serve as a cross-organizational thought leader - setting standards for technical excellence, mentoring senior engineers, and ensuring our systems and models meet the demands of global-scale deployment. This is a rare opportunity to influence both foundational AI infrastructure and the enterprise AI applications built on top of it. • Define and drive the technical strategy for Scale's AI/ML infrastructure and SGP platform, balancing short and long-term investments., • Partner with senior engineering and product leadership to ensure scalable, secure, and performant enterprise AI systems., • Lead architecture and design reviews across multiple teams, ensuring technical consistency and innovation., • Serve as a trusted advisor and mentor to principal engineers and technical leads across the organization., • Evaluate and integrate emerging technologies in AI, distributed systems, and data infrastructure to keep Scale at the frontier of innovation., • Represent Scale externally in the AI community - through speaking engagements, partnerships, and thought leadership., • Drive technical execution and accountability for critical cross-functional initiatives that advance Scale's enterprise AI capabilities., • 15+ years of experience as a technical software engineering leader., • Proven record of technical leadership at AI-native companies, hyperscalers, or equivalent high-scale environments., • Deep technical expertise in AI/ML infrastructure, knowledge of ML models/algorithm design/implementation and their application to real-world problems; experience with GenAI preferred., • Demonstrated success in setting technical vision and leading cross-organizational initiatives with measurable business impact., • Experience influencing and mentoring engineering teams in complex, matrixed environments., • Ability to communicate and collaborate effectively to create a shared sense of vision or purpose cross-team and cross-functionality. The Distinguished Engineer will play a key role in shaping how AI systems are built, deployed, and governed within enterprise environments. This role represents the highest bar of technical excellence at Scale - a trusted voice in setting direction, enabling innovation, and ensuring that our technology scales responsibly and effectively to meet the evolving needs of our customers. You'll have the opportunity to influence company-wide strategy, contribute to industry-leading work in generative AI infrastructure, and mentor the next generation of engineering talent pushing the boundaries of what's possible with AI. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$285,200—$356,500 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The GTM Architect, Enterprise will report to the Head of Enterprise GTM and will own the operating systems, measurement, and engagement model that power Scale AI's enterprise revenue motion. This role is responsible for designing and running the enterprise GTM architecture across RevOps, sales performance, and cross-functional execution, ensuring Scale's largest and most strategic accounts are engaged with rigor, consistency, and impact. This is a senior, highly visible role that partners closely with Enterprise Sales leadership, Finance, Marketing, Product, and Solutions Engineering. The GTM Architect will bring a strong point of view on how Scale engages enterprise accounts, how performance is measured, and how teams operate day-to-day to drive predictable growth. Over time, this role will have the opportunity to build and lead a GTM / RevOps team. • Own and evolve Scale's enterprise GTM operating model, including account engagement strategy, funnel design, and sales execution standards, • Design and manage the enterprise RevOps systems stack (e.g., CRM, forecasting, reporting, planning tools) to support scalable growth, • Define, track, and operationalize core enterprise GTM metrics across pipeline health, deal velocity, forecast accuracy, and rep productivity, • Establish and run sales operating cadences including pipeline reviews, forecast calls, QBRs, and performance reviews, • Partner with Sales Leadership and Finance to design, implement, and maintain enterprise sales compensation plans, including quota governance and attainment reporting, • Build executive-level dashboards and reporting to support GTM decision-making and leadership visibility, • Serve as a strategic thought partner to Enterprise Sales leaders, bringing a strong opinion on how accounts should be covered, prioritized, and engaged, • Act as the connective tissue across Sales, Marketing, Finance, Product, and Solutions Engineering for enterprise GTM planning and execution, • Support annual and quarterly planning efforts including territory design, capacity modeling, headcount planning, and quota setting, • Ensure data integrity, process clarity, and operational discipline across all enterprise GTM motions, • Initially operate as a senior individual contributor, with a clear path to hiring, developing, and leading a high-impact GTM / RevOps team, • 8-12+ years of experience in RevOps, Sales Ops, or GTM Strategy roles, with deep exposure to enterprise sales environments, • Experience supporting complex, multi-stakeholder enterprise sales motions in high-growth B2B SaaS or platform companies, • Proven ownership of sales systems, forecasting, and performance measurement at scale, • Hands-on experience designing and managing enterprise sales compensation plans and reporting, • Strong understanding of enterprise GTM metrics, planning cycles, and operating cadences, • A clear point of view on how enterprise accounts should be engaged and how to operationalize that engagement at scale, • Comfort influencing senior sales leaders and executives without direct authority, • Excellent written and verbal communication skills, including experience building executive-level materials and dashboards, • Strong command of GTM systems and tools (e.g., Salesforce, Clari, planning and reporting tools), • High attention to detail paired with the ability to operate at a strategic altitude, • Demonstrated ability to operate as a senior IC with the ambition and capability to build and lead a team over time About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: Join Planet's Software Engineering Team as a Senior Geospatial AI/ML Engineer and help us build the next generation of geospatial intelligence. In this role, you will develop cutting-edge capabilities using geospatial embeddings, advanced multi-modal architectures, unsupervised and semi-supervised techniques, and vision transformers. You will design, develop, and deploy sophisticated machine-learning models that transform massive imagery and sensor data archives into high-fidelity, actionable intelligence about global activity. Your work will heavily leverage Electro-Optical (EO), Multi-Spectral Imaging (MSI), and Synthetic Aperture Radar (SAR) modalities. The ideal candidate exudes an enthusiasm for working in an AI forward development flow. You naturally integrate AI-assisted tools into your workflow to drive your own productivity and enjoy being part of a team that treats AI as a core collaborator in the development lifecycle. The ideal candidate expresses great passion for machine learning, programming, remote sensing, and large-scale scientific computing. This is a full-time, hybrid role which will require you to work from our new Denver, CO office 3 days per week. Impact You'll Own: • Apply advanced expertise in multi-modal architectures, LLMs, and vision transformers to process massive datasets from EO, MSI, and SAR sensors., • Own the complete lifecycle of new models, from data curation and rigorous model analysis to deployment, stability, and continuous improvement., • Handle and solve complex, ambiguous technical challenges, aligning your solutions with the company's larger goals., • Bachelor's degree in Computer Science, Applied Mathematics, Physics, or a related field., • 6+ years of relevant industry experience in machine learning, data science, or geospatial algorithm development., • Proficiency in Big Data and AI/ML at scale., • Experience with multi-modal data processing (EO, MSI, SAR), Computer Vision, and Perspective Geometry., • Full-stack capabilities, including front-end GUI, database management, and containerization (Docker)., • Ability to balance innovative and creative technological approaches with strong coding talent., • Expertise that can extend support beyond the Defense and Intelligence (D&I) sectors, aligning with Planet's strategic mission expansion. June 30th, 2026 at 11:59p PT Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office) The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. New York City + California Salary Range$153,000—$191,300 USDSan Francisco Salary Range$162,600—$203,200 USDUS National Salary Range$142,800—$178,500 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. ___ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Senior Machine Learning Engineer - Model Evaluations, Public Sector The Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions. You will: • Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge-based evaluations., • Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes., • Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing., • Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes., • Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems., • Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases., • Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets. Ideally you'd have: • Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings., • Strong programming skills in Python; experience with TensorFlow or PyTorch., • Background in algorithms, data structures, and object-oriented programming., • Experience with LLM pipelines, simulation environments, or automated evaluation systems., • Graduate degree in CS, ML, or AI., • Cloud experience (AWS, GCP) and model deployment experience., • Experience with LLM evaluation, CV robustness, or RL validation., • Knowledge of interpretability, adversarial robustness, or AI safety frameworks., • Familiarity with ML evaluation frameworks and agentic model design. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We're looking for a hands-on Field Engineering Manager on the front lines leading a team of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. Field Engineers are software engineering generalists who enjoy working with clients directly, taking ambiguous requirements and issues, and quickly designing and building production-grade solutions in close collaboration with the Product, Engineering, and Delivery teams. Field Engineers are experts on Scale's products and codebase, and have general technical knowledge on GenAI systems, APIs, networking, and data engineering. Field Engineers are strong relationship builders, great project managers, and always fun to work with. You'll play a critical role in delivering technical solutions-all while helping your team grow and execute. You'll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You'll work cross-functionally with product, engineering, security, and delivery teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Day to day: • 50% Field engineering - customer engagement, technical development and delivery, • Recruit a high-performing engineering team., • Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of customer facing engineers working on Generative AI projects., • Collaborating with cross-functional teams to define, design, and execute strategic roadmap based on customer needs., • Work directly with customers to understand their problems and translate those into custom workflows within Scale's platform., • Be open to ~25% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Lead end-to-end technical delivery of custom workflows from scoping to development to testing to implementation, • 5+ years of full-time engineering experience, post-graduation., • 2+ years of prior engineering management or equivalent experience and previously managed an engineering team., • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus., • Linux experience: Understanding of shell scripting, operating systems, etc., • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus., • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Understand unique DoD and USG constraints when it comes to technology. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,700—$341,550 USD Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$238,050—$297,850 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is:$213,900—$267,950 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Helix Electric was founded in 1985 and is now one of the nation's largest and most successful electrical contracting companies. Our commitment to empowering people and powering projects is realized by our exceptional team of dedicated and highly skilled experts working together and never settling for good enough. We are proud of the team-oriented and employee-empowered business approach that defines our unique character. Our Project Engineer assists their Project Manager on projects and is the liaison between the field and the office. In this role, the PE is responsible for defining the project's objectives by planning, executing and finalizing projects according to the schedule while keeping within the budget. OUR INTERNSHIP PROGRAM: As an intern at Helix Electric you will be trusted with meaningful responsibilities that have a lasting impact on the projects you touch. This hands-on approach to learning coupled with our top-notch mentor program affords all Helix interns the opportunity to develop skills that ensure their continued growth well beyond graduation. Our University Relations Team is dedicated to ensuring all interns have an experience where they learn, grow, and contribute value. To provide a well-rounded experience, all interns are exposed to a variety of project types, phases of construction, and project teams. Join Team Helix to empower people and power projects. DUTIES & SCOPE: • Develop relationships with project managers, subcontractors, engineers, and vendors to ensure a team approach and lay a foundation for building a career in the construction industry., • Collaborate with superintendent to track material; maintains positive relationships with vendors for tracking, coordination, and close-out purposes., • Act as a champion of the Helix safety culture. Monitors and encourages jobsite safety and accident prevention., • Engage in the Change Order process and is introduced to Accubid to assist with estimating., • Partner with the project team to analyze subcontract agreements to better understand scope of work and project pricing., • Involved with material and equipment procurement., • Collaborate closely with the BIM department and is directly involved in the coordination and planning process., • Produce and maintain detailed job logs (transmittals, submittals, RFIs)., • Exposure to and monitoring of quality control., • Manage labor schedules by working closely with superintendents and project managers., • Create and order prefabricated assemblies to assist in planning and on time delivery., • Enrolled in a bachelor's degree program such as Construction Management, Electrical Engineering, Civil Engineering, Architectural Engineering, or a related field., • Previous construction or internship experience preferred., • Highly motivated with a tendency to take initiative., • Basic math skills with ability to calculate and analyze data., • Excellent written and verbal communication skills., • Good organizational skills., • The ability to work well with all levels of the organization., • A mindset for making continuous improvements of department processes. The starting hourly base pay for this role is between USD $21.00 and $26.00 per hour. The actual base is dependent upon many factors, such as: location, training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. The role may also be eligible for bonus and benefits. Helix Electric provides a comprehensive benefits package that includes the following: • Relocation assistance, • Housing stipend or corporate apartment #LI-HK1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Description Looking for an opportunity to make an impact? At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. If this sounds like the kind of environment where you can thrive, keep reading! The Digital Modernization Sector brings together our digital transformation and IT programs, allowing us to better serve our customers through scale and repeatability. (Group Profile/Link to Group page) - ___ Your greatest work is ahead! The NISC IV program at Leidos is looking for an Occupational Safety Health Analyst. The selected candidate will: * Takes effective steps to ensure that workplace conditions comply with applicable federal and state Occupational Safety and Health standards, ensuring that all records are prepared and maintained. * Participates in Occupational Safety and Health Administration (OSHA) inspections and in any procedures that may follow a citation. * Investigates, prepares reports, and forwards documents to customer for approval. * Reports on injuries and fatalities. * Conducts safe work procedures training courses. Primary Tasks: * This position will support the Federal Aviation Administration (FAA), Air Traffic Organization (ATO), Western Service Area (WSA) Environmental, Occupational Safety & Health (EOSH) Program and assist the District Safety and Environmental Compliance Managers (SECMs) for the Oakland (OAK) District Office. * The candidate will respond to tasks within the customer’s Asbestos, Lead, Environmental Compliance, OSH Compliance, Confined Space, Fall Protection, Safety Training, Drinking Water, Indoor Air Quality (IAQ), and Pandemic programs. * The candidate will participate in EOSH investigations related to potential accidental releases, mishaps, and employee complaints, as requested by the Safety & Environmental Compliance Manager (SECM). Please Note: Candidate selected must work onsite and reside in one of the following locations: Rancho Cordova, CA, Oakland, CA, and/or Spokane, WA. Required Qualifications: * Working knowledge and proficiency utilizing Microsoft Office applications to include Word, Excel, and PowerPoint. * The position requires the candidate to travel approximately 25% – 50% supporting the Oakland District. * Ability to obtain a Public Trust Security Clearance Suitability (To be eligible for Public Trust Security Clearance, one must be either a U.S. Citizen OR a U.S. Permanent Resident/Green Card holder who has resided in the U.S.A for the past 3 years of the past 5 years consecutively with no breaks). * Bachelors degree with 4+ years of relevant work experience OR Masters with 2+ years of relevant work experience. Additional years of relevant work experience may be accepted/considered in lieu of degree. Preferred Qualifications: * Certified Industrial Hygienist (CIH), Certified Safety Professional (CSP), OR Associated Safety Professional is highly desired. * Certified in any of the following areas is a plus: Asbestos Hazard Emergency Response Act (AHERA) Asbestos * Contractor/Supervisor; AHERA Asbestos Building Inspector; Certified Lead Professional; Lead Inspector/Risk Assessor; and Hazardous Waste Operations and Emergency Response (HAZWOPER). * Able to be fit-tested and wear respirator and be enrolled in Respiratory Protection Program (if hired). * Able to climb structures and oversee Fall Protection Program. * Confined Space assessment, program administration; Forklift Operator, Forklift Instructor; Aerial Lift Operator, and Aerial Lift Instructor, are desired. * Should have highly developed presentation skills, comfortable conducting training classes, self-motivated and proactive team player, excellent written and oral communication skills, and proficient using MS Office software, are desired. Please Note: The program budget salary for this role could fall anywhere between $85.000 - $95,000 with a slight wiggle room (no guarantees) based on relevant experience and assessment. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Leidos is growing! Connect with us on ___ and ______ If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. April 3, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $73,450.00 - $132,775.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback.We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents.Our projects focus on teaching these systems how to design, coordin

Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback.We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents.Our projects focus on teaching these systems how to design, coordin

Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback.We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents.Our projects focus on teaching these systems how to design, coordin

Job DescriptionFounding AI Engineer (Engineering Productivity) Location: San Francisco, CA (Onsite, 5 days/week) Role Overview Founding AI Engineer responsible for building core AI systems that analyze and improve engineering team productivity. This is a ground-floor role with full ownership of AI systems, working directly with founders to define product direction and technical architecture. Responsibilities • Design and build AI systems that analyze how engineering teams work, focusing on productivity, collaboration, and output quality, • Develop systems that generate actionable insights for engineering teams without relying on vanity metrics, • Own full AI development lifecycle from system design through production deployment and iteration, • Establish processes and standards to accelerate future AI feature development, • Work directly with founders to translate customer needs into shipped AI features, • Build scalable systems that improve engineering outcomes across large user bases, • Continuously iterate based on real customer feedback and product usageRequirements, • Strong engineering fundamentals with ability to solve complex technical problems independently, • Ability to operate effectively in ambiguous, fast-moving startup environments, • Commitment to continuous improvement and growth as an engineer, • Strong communication skills across technical and non-technical stakeholders, • Empathy for end users and ability to build user-centered AI products

Job DescriptionAnalyzing computer hardware problems, rectifying them, and replacing parts when necessaryacting as the middleman between user and manufacturer when equipment must be sent for repairinstalling software, demonstrating its usage, and troubleshooting when users face problems. Updating system software when required. Setting up and solving problems with computer network systems, cabling, and wireless networks and configuring email accounts through POP3, Outlook, and IMAP. Anti-virus software installation, reporting new virus files, and malware removal. Maintaining backup files. Setting up equipment for web conferences and other events that use computers and their peripherals. Servicing and maintaining computer-related equipment such as printers,

Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback.We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents.Our projects focus on teaching these systems how to design, coordin

Description SAIC is seeking experienced Space Systems Integration Engineer to support the Space Development Agency (SDA) Tranche 3 Program Integration (T3PI) program. Note: This is a hybrid role based out of San Francisco, CA The role will also requires up to 2 trips per quarter to Chantilly, VA or customer site lasting 3 – 5 days. As Space Systems Integration Engineer, you will be supporting the Systems Engineering and Integration of the Tranche 3 constellation, which includes hundreds of satellites accomplishing multiple mission areas including missile warning, tracking and defense and tactical communications to warfighters. You will work with the SDA, space vehicle contractors, and ground segment contractors to ensure the architecture, requirements, implementation, integration and testing are executed successfully. Responsibilities to include, but are not limited to: • Works as a key part of the overall Systems Engineering, Integration and Test (SEIT) group that is the core of the T3PI team., • Supports integration and early testing of Space Vendor designs to meet system requirements to achieve overall mission needs while considering technical and schedule constraints., • Ensures segment-level specifications are consistent with system-level requirements., • Evaluates End-to-End system threads, functional behaviors between space and ground elements., • Supports functional analysis, schedule analysis, and trade studies., • Supports MBSE Cameo Model capture and review of requirements, CONOPS, and interfaces between Space and Ground Segments., • Supports system-level risk assessments., • Works with space vehicle contractors to ensure designs meet requirements and interfaces across segments., • Participates in coordination and Working Group meetings to address shortfalls, gaps, risks, and any required system waivers., • Assists with planning and execution of system-level tests and the evaluation of segment-level test plans and execution. Qualifications Required Education and Experience • Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience. Relevant experience to be substituted in lieu of degree., • Active Top Secret/SCI., • Experience developing and/or sustaining critical space systems for national security, preferably including space-to-ground integration., • Experience with systems engineering involving the integration of complex multi-element systems, preferably Space-based remote sensing or communication Systems., • Proficiency using MBSE tools to include Cameo Systems Modeler., • Excellent communication and teaming skills., • Experienced with fast-paced development programs in the space domain. Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

AWS DevOps Engineer 6 months Contract Oakland, CA Preferred local candidates to work onsite 1 day a week in Oakland Open to remote candidates. Must be able to work PST PLEASE INCLUDE CANDIDATE LOCATION TO THE RESUME Position Overview • We are seeking an experienced xECSEngineer with deep expertise in OpenText Extended ECS, SAP S/4HANA integration, and AWS cloud infrastructure., • Design and implement OpenText xECM infrastructure on AWS using IaC (EKS Fargate, RDS, S3, VPC, Load Balancers), • Develop and maintain CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy for automated xECM deployment, • Containerize OpenText Content Server and related components using Docker, • Manage container registry operations and image lifecycle (ECR, OpenText registry), • Implement auto-scaling, high availability, and disaster recovery solutions for xECM on AWS, • OpenText xECM & Documentum, • Install, configure, and maintain OpenText Extended ECM for SAP (xECM) components, • Administer Documentum Content Server, D2, and related applications, • Configure Documentum repositories, workflows, and business object models, • Perform Documentum version upgrades and patch management, • Validate document storage, retrieval, retention policies, and archival processes, • Troubleshoot Documentum-specific issues (DQL queries, methods, jobs) SAP Integration, • Configure SAP S/4HANA ArchiveLink interface for document management integration, • Set up HTTP Content Repository connections (transactions: OAC0, OAC2, OAC3, CSADMIN), • Implement document linking for SAP business objects (FI documents, MM purchase orders, SD sales orders, etc.), • Configure SAP Document Management System (DMS) integration, • Perform end-to-end validation of document flows between SAP and xECM, • Troubleshoot SAP-to-Documentum connectivity and performance issues, • Infrastructure as Code (IaC), • Write and maintain Terraform modules for xECM infrastructure components, • Implement version control and code review processes for infrastructure code, • Create reusable Terraform modules for multi-environment deployments (Dev, QA, Prod), • Manage state files, workspaces, and remote backends, • Implement infrastructure security best practices (least privilege, encryption, VPC design) DevOps & Automation, • Build automated deployment pipelines for xECM components, • Implement configuration management and secrets management (AWS Secrets Manager, Parameter Store), • Create monitoring and alerting solutions (CloudWatch, Prometheus, Grafana), • Develop automated backup and recovery procedures, • xECM/Documentum: 5+ years of experience with OpenText Extended ECM and Documentum, • Content Server installation and administration, • DQL (Documentum Query Language), • Documentum Foundation Classes (DFC), • D2 configuration and customization, • xECM for SAP architecture and components, • SAP: 3+ years of SAP experience, preferably S/4HANA, • ArchiveLink configuration and troubleshooting, • SAP Basis knowledge (transaction codes, system administration), • Understanding of SAP modules (FI, CO, MM, SD), • SAP Document Management (DMS/PLM), • HTTP Content Server integration, • AWS: 4+ years of AWS cloud experience, • ECS/Fargate, ECR, EC2, RDS, S3, VPC, ALB/NLB, • IAM, Security Groups, KMS, • CloudWatch, CloudTrail, • AWS networking and security best practices, • Terraform,CFT: 3+ years of Infrastructure as Code experience, • Terraform core concepts (providers, resources, modules, state), • Terraform best practices and patterns, • Remote state management, • CI/CD: 3+ years with CI/CD tools, • AWS CodePipeline, CodeBuild, CodeDeploy, • Jenkins, GitLab CI, or GitHub Actions (plus), • Git version control and branching strategies, • Containers: 3+ years with containerization, • Docker (Dockerfile, docker-compose, multi-stage builds), • Container orchestration (ECS, Kubernetes), • Container security and optimization, • Additional Technical Skills, • Linux system administration (RHEL, Ubuntu, Amazon Linux), • Scripting languages (Bash, Python, PowerShell), • Database administration (PostgreSQL), • SSL/TLS certificates and security, • Load balancing and high availability architectures, • Monitoring and logging tools Certifications (Preferred), • AWS Certified Solutions Architect (Associate or Professional), • AWS Certified DevOps Engineer, • HashiCorp Certified: Terraform Associate, • OpenText Documentum Administration certification, • SAP Certified Technology Associate Soft Skills, • Strong problem-solving and analytical abilities, • Excellent communication skills (technical and non-technical audiences), • Ability to work independently and in cross-functional teams, • Experience with Agile/Scrum methodologies, • Strong documentation skills, • Ability to manage multiple priorities and meet deadlines, • Preferred Qualifications, • Experience with SAP Fiori apps for document management, • Knowledge of OpenText Archive Server and Records Management, • Understanding of compliance requirements (SOX, GDPR, HIPAA), • Experience with OpenText API integrations (REST/SOAP), • Knowledge of SAP NetWeaver and SAP Cloud Platform, • Experience with Blue/Green or Canary deployment strategies, • Familiarity with SAP BTP (Business Technology Platform) Education, • Bachelor's degree in Computer Science, Information Technology, or related field, • Master's degree preferred, • Experience, • 7+ years of overall IT experience, • 5+ years in enterprise content management systems, • 3+ years in cloud infrastructure and DevOps, • 3+ years in SAP integration projects Work Environment, • Hybrid options available, • Collaboration with global teams across time zones

About the Opportunity: Saratech seeks a Senior Thermal Engineer to lead thermal design, analysis, and testing efforts for advanced spacecraft hardware.

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. About our AgentOps team: The vision for the AgentOps team is to build the best Agent Development Platform in the AI Industry. Agent Development is in its nascent stages in a rapidly changing industry, with limited tooling making it hard for agent developers to manage agent lifecycles. As a team that has a front-row seat to what Enterprise customers need and want, we want to build an opinionated but flexible platform for all Agent operations ("AgentOps"), including building, deploying, monitoring, evaluating and improving agents to solve customer needs. With the AI industry currently moving towards RL workflows that need verifiable rewards, we further want to gear this platform towards knowledge capture that create compounding effects to make Agents more effective and capable. We want to create a virtuous data flywheel where agents built using this platform see continuous performance improvements and increase customer value over time. We are a rapidly growing team with ambitious goals, and are looking for motivated individuals to join us to make an impact in a green-field domain. Responsibilities: • Manage the engineering team and drive technical delivery, • Comfortable working cross functionally, whether that be internal or external customers, • Work across the entire product lifecycle from conceptualization through production, • Build features end-to-end: back-end, system design, debugging and testing, • Deliver experiments at a high velocity and level of quality to engage our customers, • Influence the culture, values, and processes of a growing engineering team, • Inspire and mentor engineers, • Collaborating with cross-functional teams to define, design, and ship new product features and experiences Requirements: • At least 5 years of relevant experience and at least 2 years of experience managing engineers is preferred, • Proven success in leading, managing, and developing high-performing Engineering teams, • Expertise in identifying product engagement patterns and trends for large scale consumer products, • Track record of shipping high-quality products and features at scale, • Desire to work in a very fast-paced environment, • Ability to turn business and product ideas into engineering solutions, • Excellent problem-solving skills, and be able to work independently or as part of a team. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. We are looking for a Business Savvy Engineering Manager to help define the future of Corporate IT's ai based future at Pinterest. Working closely with cross-functional engineering teams and business leaders you'll lead a nimble team playing a pivotal role in scaling Corporate IT's engineering department. You will guide your team in designing and building the solutions that make our business partners jobs easier, faster and more capable. You will grow and empower engineers while shaping how we build Pinterest's AI future. What you'll do: • Lead a team of employees and contractors focused on solving business problems using AI tools., • Work closely with the existing software engineering teams to develop a seamless and low friction client experience., • Mentor junior engineers to help them grow and develop into the best that they can be., • Motivate and lead your team to show up every day and do their best work., • Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations, • Use AI to accelerate analysis, iteration, experimentation and time to market while applying judgment and verification to ensure correctness and quality What we're looking for: • 2+ years of experience leading and growing engineering teams, with a strong hands-on background in Python., • 7+ years of industry experience designing, building, and operating scalable, highly available backend systems, including owning production-grade infrastructure at scale., • Proficiency in designing and delivering AI based solutions that solve real world business problems., • Understanding of business unit challenges and problems, Focused on Finance, Accounting, Legal, Sales and Marketing., • Experience with cloud infrastructure on AWS and containerized services using Docker and Kubernetes., • Demonstrated technical leadership and people management experience, including setting team vision and long-term roadmap, mentoring and growing engineers across all levels, driving day-to-day execution and engineering alignment, and partnering cross-functionally to deliver complex, high-impact platform investments., • Demonstrated ability to use AI to accelerate team execution, system design, and decision-making, paired with sound judgment in validating outputs, maintaining quality, and taking ownership of final outcomes., • Build storage capabilities that efficiently support large-scale ML/AI workloads, including high-throughput data access, schema evolution, and large-scale column backfills., • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs., • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-REMOTE #LI-KBF At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$177,185—$364,795 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Scale plays a vital role in the development of AI applications. Our customer base is growing exponentially, and you will be on the front lines, ensuring that the world's most innovative companies become passionate, lifelong Scale customers. Solutions Engineers partner closely with AEs, Product, and MLEs to lead prospective customers through pre-sales, delivering customized demos and pilots to secure the "technical win". Solutions Engineers scope customer technical requirements and develop an actionable SOW. They will work closely with the delivery team to help with initial implementation. Solutions Engineers are relentlessly curious about customer needs and pain points. They employ their expert Scale product knowledge and GenAI knowledge to design solutions that best address these needs. Solutions Engineers are strong relationship builders, great project managers, and provide technical expertise. You will: • Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements., • Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises., • Be accountable for securing the "technical win" by unblocking technical challenges, • Interact with customers daily to understand their needs and design solutions to better serve them., • Design and develop "Scopes of Work" by breaking down customer challenges into a project plan, • Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage, • Work with AEs and PMs to identify customer-specific feature requests., • Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realize business goals., • Prior experience developing with Python, Java and/or other web development languages., • Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement., • A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership., • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers., • High level of comfort communicating effectively across internal and external organizations., • GenAI Experience, • Forward deployed engineering experience About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads. What you'll do: • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest, • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas, • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval, • Work in a high-impact environment with quick experimentation and product launches, • Keep up with industry trends in recommendation systems, • Leverage LLMs to enhance content understanding What we're looking for: • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning), • Degree in computer science, machine learning, statistics, or related field, • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark), • Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems, • Nice to have:, • Publications at top ML conferences, • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring, • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration, • Expertise in scalable realtime systems that process stream data, • Passion for applied ML and the Pinterest product, • Background in computational advertising Relocation Statement: • This position is not eligible for relocation assistance. Visit our ___ page to learn more about our working model. #LI-HYBRID #LI-SM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$163,418—$285,982 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, • Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more, • Have experience gathering business requirements and translating them into technical solutions, • Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs, • Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases., • 7+ years of full-time engineering experience, post-graduation, • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, • Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background., • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results, • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment, • Strong knowledge of software engineering best practices, • Have built applications taking advantage of Generative AI in real, production use cases About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. We're seeking a talented Manager II, Engineering to take on a leadership role within the Programmatic Offsite Ads team. You will lead critical efforts to define, build, and evolve the ad features which power Pinterest's ads business through off-platform supply partnerships. You will be responsible for defining the strategic vision and roadmap for programmatic ads delivery. This includes driving advertiser performance and ensuring that ads are served across high-quality supply, all while adhering to industry standards for programmatic demand. The Programmatic Offsite Ads team is part of Pinterest's broader Programmatic Ads strategy working closely with the larger Monetization organization. We own and operate infrastructure which drives ad buys through OpenRTB standards. We partner with internal infra and ML teams to ensure off platform ads are delivered reliably and efficiently at scale. What you'll do: In this pivotal role, you will take on the challenge of defining and executing the offsite ads strategy for programmatic ads at Pinterest. • Own the endtoend strategy and roadmap for driving programmatic off-platform ads delivery, driving highquality outcomes which meet advertiser expectations., • Partner closely with Product, Design, Research, Sales, Policy, and the broader Monetization org to define new product features, and advertising experiences that balance user delight, advertiser outcomes, and platform integrity., • Lead experimentation and optimization of advertising campaigns, using A/B testing and rigorous measurement (e.g., viewability, engagement, conversion, advertiser performance, user sentiment) to drive continuous improvement., • Work with external supply partners to ensure our off-platform ads are wellsupported in the programmatic ecosystem, and that Pinterest's creatives adhere to performance standards., • Collaborate with serving, infra, and ML teams to ensure that programmatic ads are backed by robust infrastructure, measurement, and policies, • Lead missioncritical initiatives involving 8-10 engineers across backend and frontend stacks, and directly influence their daytoday work through mentorship, coaching, and clear technical direction., • Build and maintain a culture of inclusivity, craft, and operational excellence within the Programmatic Offsite Ads team., • Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations, • Use AI to accelerate analysis, iteration, experimentation and time to market while applying judgment and verification to ensure correctness and quality What we're looking for: • BS (or higher) degree in Computer Science, or a related field., • 2-3+ years of relevant engineering management experience., • 3-4+ years of relevant industry experience within the ads domain, • Experience designing or delivering high scale, real time distributed systems, • Working knowledge of programmatic advertising and OpenRTB (DSPs/SSPs, auctions, targeting, measurement), and experience partnering with external platforms, • Proven track record partnering with Product and Design to define new product features, run experiments, and use data to iterate on performance outcomes., • Rich experience working crossfunctionally to drive alignment, oversee execution, and secure deliverables across Product, Design, ML, Infra, Sales, and external partners., • Build storage capabilities that efficiently support large-scale ML/AI workloads, including high-throughput data access, schema evolution, and large-scale column backfills, • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs, • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables, • Experience mentoring, guiding, and upleveling engineers, including senior ICs, • Strong communication skills and the ability to articulate product strategy and tradeoffs to both technical and nontechnical stakeholders., • Strong commitment to building inclusive teams and fostering a sense of belonging. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration [1 time per week] and therefore needs to be in a commutable distance from one of the following offices: San Francisco. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-HYBRID #LI-KBF At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$177,185—$364,795 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. We are looking for a Sr. Staff Machine Learning Engineer to be the Technical Lead for the Content Quality who will build the overall technical strategy, unified technical architecture and define a roadmap for industry leading methodology. We are seeking strong hands on machine learning background including content modeling, signal lifecycle, and platforms used to enforce signal use with downstream use cases. You'll be working with other leads to set and execute a long-term strategy for the team, aligning the strategy with other clients where it makes sense and communicating to leadership our current status and path to having world-class capabilities. You'll also foster a healthy community where all Content Quality engineers can learn best practices, collaborate effectively and understand our technical direction. What you'll do: • Architect and develop a roadmap and processes for building and delivering signals capturing quality and trust aspects of content at Pinterest., • Drive safety of GenAI and Conversational use cases including safety alignment and VLMs., • Work with downstream teams to align on use cases, evaluate signal impact, and drive adoption of signals in models, ranking systems, and decision-making workflows., • Partner closely with ML engineers to translate ideas into production-ready signals, from problem formulation and feature design to validation and deployment. What we're looking for: • Experience driving technical strategy at an organizational level., • Expertise in content modeling at consumer internet scale., • Using GenAI for scaling ML development., • Strong ability to work cross-functionally and with partner engineering teams., • Experience working with multiple stakeholders., • Strong measurement and scalability experience., • Strong ML knowledge and expertise., • Hands-on experience with big data technologies (e.g., Hadoop / Spark / Kafka / Flink) is a plus., • Machine Learning at scale deployment experience (note this is different from having ML theoretical knowledge, which is a nice to have)., • Thought Leadership: Publication and/or conference speaking experience is a plus., • Nice to have:, • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring., • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-HYBRID #LI-AK7 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$268,084—$469,147 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. Summary: As the Vice President, Ads Quality Engineering, you will spearhead our AIML engineering division, dedicated to leveraging data machine learning innovations, and the vanguard of AI to enhance Pinterest's ads delivery funnel. Possessing robust analytical skills, a deep understanding of machine learning and generative AI, online auction dynamics, and previous experience leading substantial engineering teams, you will push the boundaries of current AIML applications, multi-party marketplace behavior, and auction theory. Your efforts will be crucial in maximizing Pinterest's monetization opportunities. This pivotal role grants you the autonomy to collaborate extensively across the organization, aligning interests and strategies among pinners, content creators, and advertisers in our distinct marketplace. Your leadership will be instrumental in shaping advanced ML solutions that not only define industry standards but also drive substantial business impact. What you'll do: • Oversee a globally distributed team of 200+ AI/ML engineers tasked with harnessing data-driven insights and developing solutions to bolster Pinterest's monetization efforts., • Provide both technical and organizational leadership to scale the team in response to evolving business demands., • Manage and develop senior leadership within the team, including managers of managers and principal AI/ML experts, ensuring growth and continuous improvement at all levels., • Partner closely with engineering and product leadership to shape and drive the execution of Pinterest's monetization strategy., • An MSc or PhD degree in Economics, Statistics, Computer Science, or a related field., • A minimum of 15 years of relevant industry experience, demonstrating a depth of technical proficiency and leadership., • At least 10 years of experience in managerial roles, with a proven track record of effective team leadership and development., • Exceptional cross-functional (XFN) collaboration skills and a strong capability in communication, crucial for liaising seamlessly across departments., • A natural bridge-builder, skilled in fostering alignment and driving strategic initiatives within the engineering and product organization at Pinterest., • Hands-on experience in designing and deploying large-scale machine learning systems, with a preference for those possessing specific expertise in the Advertising domain., • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration once or twice a week and therefore needs to be in a commutable distance from one of the following offices: Palo Alto, San Francisco, Seattle, or Los Angeles. #LI-HYBRID #LI-RR4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$400,000—$485,000 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Overview The Hardware Automation Engineer III solves key workflow problems in large complex health systems. Supports a full technology stack of automated lab and software sequencing. Responsibility • Own all aspects of the design process, prototyping, testing, and deployment for fully automated robotic platform., • Design layout, process, and custom components for a modular robotics platform by utilizing mechanical, electrical, and software expertise., • Work with other development teams to integrate processes into custom robotic platform., • Drive process improvements to maximize the level of hands-free automation throughout the lab., • Develop automation related documentation for effective operation and maintenance of automated equipment., • Train and mentor junior Automation Engineers., • Travel to Myriad locations as needed during certain project phases. Qualifications • Bachelor's degree in mechanical, electrical, biomedical engineering, or related field required., • 5+ years of experience with electro-mechanical design, assembly, wiring, and troubleshooting., • 2+ years of experience integrating 3rd party devices (system integration)., • Experience with mechanical CAD software (SolidWorks, OnShape)., • Experience documenting designs (BOMs, drawings) and working with contract manufacturers., • Experience with text-based PLC programming or Python and terminal usage., • Experience working cross-functionally with multiple groups on projects. For Bay Area candidates, compensation starts at $125,000 with a market-aligned midpoint of $153,000, plus RSUs and a generous performance-based bonus plan. Physical Requirements Lifting Requirements - light work or exerting up to 20 pounds of force frequently. Physical Requirements - stationary positioning, moving, operating, ascending/descending, communicating, observing, pushing or pulling, and reaching. Use of equipment and tools necessary to perform essential job functions. EEO We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. In hiring and all other employment decisions, we prohibit discrimination and harassment on the basis of any protected characteristic, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. #LI-KO1

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Salary: $? - ? per year Requirements: • Several years of software engineering experience (3 years or more), • Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software., • Experience building full-stack applications and deploying scalable software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales., • Responsibilities:, • Ideal Background:, • This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree., • Project Overview:, • As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions., • What Does a Typical Day Look Like?, • Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them., • Design verification mechanisms that can automatically verify a solution to a software engineering task. Technologies:, • AI, • API, • Backend, • Java, • JavaScript, • Python Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week Type: Contractor (no medical/paid leave) Duration: 1 month (potential extensions based on performance and fit) Location: Candidates must be based in the United States Evaluation Process: The application process takes 15–30 minutes. Completion of an AI video interview is required. last updated 19 week of 2026

Salary: $140,000 - 200,000 per year Requirements: • Significant professional software development experience., • Strong backend development experience with Node.js., • Advanced frontend development with React.js and Next.js., • Solid understanding of PostgreSQL schema design, query optimization, and data modeling., • Hands-on experience with AWS services such as EC2, S3, Lambda, RDS, and CloudWatch., • Experience designing and integrating REST APIs., • Proficiency with Git, CI/CD workflows, and agile development environments., • Clear written and verbal communication skills and attention to detail., • Responsibilities:, • Design, build, and maintain fullstack applications using Node.js, React.js, and PostgreSQL., • Develop scalable backend services and RESTful APIs, leveraging AWS infrastructure., • Implement responsive and maintainable frontend interfaces with React.js and Next.js., • Collaborate with cross-functional teams to translate product requirements into practical technical solutions., • Maintain high standards for system reliability, security, and data integrity, particularly within financial systems., • Contribute to CI/CD pipelines, code reviews, and engineering best practices across the development lifecycle., • Communicate technical concepts clearly in documentation, code reviews, and team discussions Technologies:, • AWS, • Lambda, • Backend, • CI/CD, • CloudWatch, • Cypress, • Docker, • EC2, • Frontend, • Fullstack, • Git, • GraphQL, • Jest, • Kubernetes, • PostgreSQL, • Python, • REST, • React, • Redis, • Security, • microservices, • pytest, • NodeJS We are looking for a Fullstack Engineer to help design and build next-generation financial technology systems. This role sits at the intersection of product development, infrastructure, and applied engineering, focusing on creating reliable, scalable applications that deliver thoughtful user experiences. last updated 19 week of 2026

Job Search Feeling Like Guesswork? Applied to 200+ Jobs and Still No Interviews? Applied Everywhere? Still No Interviews or Offers? Get Hired with a Process! Many job seekers assume the tech market has shut down, but the truth is companies are still hiring — they’re just being more selective. That means only the most prepared, polished, and employer‑ready candidates get through.If you’ve sent out hundreds—maybe thousands—of applications and your inbox is still silent, it doesn’t mean you’re not capable. It usually means your profile isn’t lining up with how companies filter, shortlist, and interview candidates right now. In today’s market, employers expect more than a degree or a few tutorial projects. They want candidates who look job-ready on paper , sound confident in interviews , and demonstrate hands-on ability in the tools teams actually use. That’s exactly what SynergisticIT solves—because the real challenge isn’t learning in isolation. The real challenge is translating learning into interviews and offers . Since 2010 , SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands—think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Wayfair , and many more—often in the $95k to $154k offer range depending on role, location, and skillset. The purpose of SynergisticIT is simple: close the gap between what you know and what employers expect you to prove . Here’s the truth employers hire based on whether you can handle real work—clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did. That’s why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process. What roles are in demand right now? A lot of jobseekers assume they must become “AI experts” overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer , Java full stack developer , Python/Java developer , data analyst , data engineer , data scientist , and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request. Who benefits most from this model? If you’re applying and not seeing results, you’re likely in one of these situations: You have skills, but your resume doesn’t show impact and your projects look generic You know tools, but you can’t explain them confidently in interviews You’ve learned from courses, but you lack real-world structure and job alignment You’ve built a portfolio, but it doesn’t match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats , jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps , people with “learning but not hired” bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway. SynergisticIT also supports candidates with guidance around STEM extension , and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes). If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us You don’t need more random applications. You need a job-ready plan. Start smarter—start with the right support. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume. A lot of jobseekers assume they must become “AI experts” overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer , Java full stack developer , Python/Java developer , data analyst , data engineer , data scientist , and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request. Who benefits most from this model? If you’re applying and not seeing results, you’re likely in one of these situations: You have skills, but your resume doesn’t show impact and your projects look generic You know tools, but you can’t explain them confidently in interviews You’ve learned from courses, but you lack real-world structure and job alignment You’ve built a portfolio, but it doesn’t match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats , jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps , people with “learning but not hired” bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway. SynergisticIT also supports candidates with guidance around STEM extension , and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes). If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us

About the Project Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems. Ideal Qualifications • 2+ years of experience in backend engineering, AI automation, or complex systems integration., • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting)., • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases., • Practical experience building for live, non-mocked environments and handling multi-turn system interactions., • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output., • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems., • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress., • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.

About the Project Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems. Ideal Qualifications • 2+ years of experience in backend engineering, AI automation, or complex systems integration., • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting)., • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases., • Practical experience building for live, non-mocked environments and handling multi-turn system interactions., • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output., • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems., • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress., • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About This Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: • Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+)., • On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues., • Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools., • Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing., • Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery., • Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures., • Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: • Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience., • Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments., • Version Control: Proficiency with Git for code management and collaboration., • Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments., • Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana)., • Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP)., • Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations., • HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN). Bonus Points: • Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator., • Cloud Expertise: Deep understanding of specific cloud platforms and services., • Automation Skills: Experience with automation tools and scripting languages., • Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions., • Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues., • Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: • Industry competitive pay, • Restricted Stock Units in a fast growing, well-funded technology company, • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents, • Employer contributions to HSA accounts, • Paid Parental Leave, • Paid life insurance, short-term and long-term disability, • Teladoc, • 401(k) with a 100% match up to 4% of salary, • Generous paid time off and holiday schedule, • Cell phone reimbursement, • Tuition reimbursement, • Subscription to the Calm app, • MetLife Legal, • Company paid commuter benefit; $300 per pay period Compensation: Compensation will be paid between $125,000 and $151,000 + Bonus. Restricted Stock Units are included in all offers. Salary will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Mechatronics Engineer — San Francisco, in person, starting ASAP Our client builds autonomous robots that surgically harvest reusable chips from e-waste. SF headquartered, prototype deployed, paying customers. Hiring their next mechatronics engineer now. The role • Design and maintain complex robotic systems, • Integrate mechanical, electrical, and software components, • Troubleshoot electromechanical systems end to end, • Proficiency in mechatronics and electromechanics, • Strong EE and electronics fundamentals, • Experience maintaining and repairing complex robotic or industrial systems, • System integration across mech, electrical, and software, • BS or higher in mechatronics, robotics, EE, or related, • Fast paced and intense, • Direct feedback both ways, • Paid in person work trial in SF, starting ASAP, • Hiring directly from the trial Compensation: generous base salary and material equity.