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About the job Create your own destiny in the United States! On a Student Visa (F1) or OPT? Join our Green Card sponsorship program and receive a permanent Employment Authorization Document (EAD) and a Green Gard (EB-3 visa) and we will place you to work in a U.S. hospital. Please note the specific location of the job in this ad may differ from the location of available jobs. Qualifications: Candidates must have a minimum BSN in nursing or be in the process of completing a BSN. Must have either passed the NCLEX-RN exam or about to take the test. ADEX Medical Staffing is not a third-party representative or agent. We are your direct Green Card sponsor and employer. We pay all salaries and benefits. We place you at one hospital location that best matches your career goals for the duration of your contract with us. Benefits of working with ADEX When you join ADEX Medical Staffing, you’re joining a team dedicated to your continuous support while working and living in the United States. Here’s what we’re doing right now for our international nurses seeking placement in the US: • NO COST TO YOU! All legal, U.S government processing fees, endorsement fees paid for by ADEX., • Starting bonuses, • Travel stipend during relocation, • Subsidized Health Insurance Plan., • Worker’s Compensation Insurance, Liability and Malpractice Insurance, • Seamless onboarding and extensive hospital orientation program

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure. • Build features for agentic systems including multi-layered guardrails and data retrieval optimization., • Develop data pipelines and machine learning infrastructure to make data sources accessible by agents., • Collaborate with cross-functional teams to execute backend solutions for secure environments., • Participate in customer engagements to understand requirements and deliver technical solutions., • Define requirements with stakeholders and implement features until they are accepted., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • 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, • 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, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • 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, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment 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 is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency. The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. Technical Leadership & Vision • Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals., • Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities., • Core Agent Capabilities Development:, • Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises., • Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas., • Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base., • Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth., • Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team., • Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions., • Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience., • 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment., • 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain., • Deep expertise in Generative AI and Large Language Models (LLMs)., • Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale., • Experience with large-scale distributed systems and real-time data processing., • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field., • Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization., • Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms., • Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems., • Experience with vector databases and advanced retrieval techniques., • A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD)., • Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. 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 GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior or Staff Infrastructure Engineer to act as a primary technical lead, engineering the 'paved road' for our knowledge retrieval and inference engines. You won't just be managing resources; you'll be defining the deployment standards for Agentic workflows at scale. Your mission is to bridge the gap between complex AI orchestration and world-class infrastructure, ensuring our platform remains the most reliable destination for enterprise agents The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You'll Do: • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers., • Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement., • Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers., • Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection., • Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs., • Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies., • Own the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response., • Proven experience in a senior role, with 5+ years of full-time software engineering experience., • Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana)., • Extensive experience with at least one major cloud provider (AWS, Azure, or GCP)., • Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups., • Proficiency in Python or JavaScript/TypeScript, and SQL. 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.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 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 investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Build, profile and optimize our training and inference framework., • Post-train state of the art models, developed both internally and from the community, to define stable post-training recipes for our enterprise engagements., • Collaborate with ML teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.., • At least 1-3 years of LLM training in a production environment, • Passionate about system optimization, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster, • Experience with multi-node LLM training and inference, • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills to operate in a cross functional team environment. 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 Frontier Data team builds the data and systems that power Scale's most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI / computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We're looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams. • Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment., • Build scalable services and pipelines that support agent workflows (e.g., coding, tool-use orchestration, GUI/computer-use tasks), with strong reliability and observability., • Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces., • Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity., • Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems., • Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization., • Raise the engineering bar through design reviews, code reviews, and pragmatic best practices., • 5+ years of full-time software engineering experience (post-graduation)., • Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability., • Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container-based services., • Demonstrated ability to ship quickly in ambiguous, fast-changing environments (high-growth startup experience is a plus)., • Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar., • Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued)., • Proficiency with SQL and modern database-backed application development. 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.

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency. • Define technical strategy for agentic guardrails, explainability, and fleet orchestration., • Ensure system reliability and performance across multiple security classifications and network types., • Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance., • Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members., • Influence the long-term product strategy and technical roadmap for the Federal business unit., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • 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, • 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, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • 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, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment 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.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 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 investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As a Staff Agent Post-Training MLRE, you will build out our next-gen Agent RL training platform. You'll build out the platform that will train best-in-class Agents that achieve state of the art results on real enterprise use-cases. You'll integrate cutting edge research into our training stack, enabling MLREs on the Enterprise AI team to deploy use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers., • Research cutting edge algorithms to integrate directly into our training stack., • 5+ years of LLM training in a production environment, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years 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.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on AI Controls and Monitoring, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments. For example, you might: • Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs;, • Research mechanisms for layered control, including fail-safes, oversight protocols, and intervention methods that can halt or redirect AI systems when risks are detected;, • Design red-team simulations to probe weaknesses in oversight and control mechanisms, and build mitigations to close identified gaps;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Experience with runtime monitoring, anomaly detection, or observability for ML systems., • Familiarity with AI control or alignment research (e.g., scalable oversight, interpretability, debate). 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.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on Frontier Risk Evaluations, you will design and create evaluation measures, harnesses and datasets for measuring the risks posed by frontier AI systems. For example, you might do any or all of the following: • Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities;, • Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies., • Experience with red-teaming or adversarial testing of AI systems. 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.

Scale AI is seeking a technically rigorous and driven AI Research Engineer to join our Enterprise Evaluations team. This high-impact role is critical to our mission of delivering the industry's leading GenAI Evaluation Suite. You will be a hands-on contributor to the core systems that ensure the safety, reliability, and continuous improvement of LLM-powered workflows and agents for the enterprise. The ideal candidate has a strong foundational knowledge of large language models, a passion for tackling complex evaluation challenges, and thrives in a dynamic, fast-paced research environment. We are looking for an engineer who can think outside the box, stays current with the latest literature in AI evaluation, and is passionate about integrating novel research ideas into our workflows to build best-in-class evaluation systems. • Partner with Scale's Operations team and enterprise customers to translate ambiguity into structured evaluation data, guiding the creation and maintenance of gold-standard human-rated datasets and expert rubrics that anchor AI evaluation systems., • Analyze feedback and collected data to identify patterns, refine evaluation frameworks, and establish iterative improvement loops that enhance the quality and relevance of human-curated assessments., • Design, research, and develop LLM-as-a-Judge autorater frameworks and AI-assisted evaluation systems. This includes creating models that critique, grade, and explain agent outputs (e.g., RLAIF, model-judging-model setups), along with scalable evaluation pipelines and diagnostic tools., • Pursue research initiatives that explore new methodologies for automatically analyzing, evaluating, and improving the behavior of enterprise agents, pushing the boundaries of how AI systems are assessed and optimized in real-world contexts., • Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience., • 2+ years of experience in Machine Learning or Applied Research, focused on applied ML systems or evaluation infrastructure., • Hands-on experience with Large Language Models (LLMs) and Generative AI in professional or research environments., • Strong understanding of frontier model evaluation methodologies and the current research landscape., • Proficiency in Python and major ML frameworks (e.g., PyTorch, TensorFlow)., • Solid engineering and statistical analysis foundation, with experience developing data-driven methods for assessing model quality., • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field., • Published research in leading ML or AI conferences such as NeurIPS, ICML, ICLR, or KDD., • Experience designing, building, or deploying LLM-as-a-Judge frameworks or other automated evaluation systems for complex models., • Experience collaborating with operations or external teams to define high-quality human annotator guidelines., • Expertise in ML research engineering, stochastic systems, observability, or LLM-powered applications for model evaluation and analysis., • Experience contributing to scalable pipelines that automate the evaluation and monitoring of large-scale models and agents. 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 Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: * Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. * A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). * At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. * Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: * Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. * Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. * Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. * Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. * Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. 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:$252,000—$315,000 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.

About Scale 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 the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes., • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.), • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development., • Strong written and verbal communication skills and the ability to operate cross-functionally., • Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax., • Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents., • Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc., • Familiarity with agentic reasoning methods such as STaR and PLANSEARCH 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:$259,200—$324,000 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.

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You'll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed. As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)., • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution., • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes., • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally., • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent., • Stay deeply connected to the research community, understanding major trends, and helping set them., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains., • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)., • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience leading or managing research teams. You're excited to mentor, coach and develop talent., • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders. 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:$273,000—$393,000 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.

Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes. Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research. If you excel at turning frontier agent research into reliable deployed systems, we want to hear from you. You will: • Build and deploy multi-agent systems for agentic reasoning validation, • Develop pipelines to detect errors and scale human judgment, • Combine classical ML, LLMs, and multi-agent techniques for reliability, • Lead research into agent failure modes and ship fixes, • Use AI tools to speed prototyping and iteration, • Build data-driven evaluations and deploy rapid improvements, • PhD or MSc in Computer Science, Mathematics, Statistics, or related field, • 3+ years shipping scaled production ML systems, • Demonstrated real-world impact, • Mastery of PyTorch, TensorFlow, JAX, or scikit-learn, • Deep expertise in agentic LLMs and multi-agent systems, • Strong software engineering and microservices (AWS/GCP), • Rapid, data-driven iteration, • Proficiency using AI tools to accelerate work, • Strong research depth with practical bias, • Experience prototyping agent evaluation/reliability systems, • Human-in-the-loop or annotation pipeline work, • Open-source contributions in agents, evaluation, or alignment 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.

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.

The Enterprise ML team works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale's proprietary research, data, and infrastructure-unlocking domain expertise through high-quality data and expert feedback. As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems. What You'll Do • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)., • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution., • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes., • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally., • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent., • Stay deeply connected to the research community, understanding major trends, and helping set them. Core Qualifications • 8+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains., • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)., • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience leading or managing research teams. You're excited to mentor, coach and develop talent., • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders., • Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments, • Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale 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 Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. • Manage the full lifecycle of feature development from requirement definition to deployment on classified networks., • Direct the orchestration of asynchronous agent fleets to meet mission requirements., • Lead customer engagements to translate mission needs into technical requirements., • Own the communication with stakeholders to ensure implementation meets defined acceptance criteria., • Conduct technical reviews and identify risks within machine learning infrastructure and model serving., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • 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, • 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, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • 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, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment 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 GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend-focused full-stack engineer to help build AI-powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast-paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high-quality, intuitive user experiences. At Scale, you'll work on a mix of cutting-edge customer-facing AI applications and internal SaaS products. Our engineering team powers projects like TIME's Person of the Year AI experience (), a powerful system that enables businesses to build and deploy AI agents at scale. Whether it's developing interactive AI assistants, enterprise-grade web applications, or refining our core SaaS platform, you'll play a crucial role in shaping how AI integrates into real-world applications. • Build and enhance user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies, • Develop and refine features for Scale's GenAI Platform, empowering businesses to build, deploy, and manage AI-driven agents, • Design, build, and optimize polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind, • Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences, • Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure, • Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility, • 5+ years of experience developing frontend or fullstack applications in a modern tech stack, • Strong proficiency in Next.js, React, TypeScript, and Tailwind, with an eye for building polished, user-friendly interfaces, • Experience working on high-visibility, customer-facing applications and making trade-offs between speed and quality in fast-paced environments, • A passion for AI and experience working on interactive AI applications, agent-based systems, or data-rich web platforms, • Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL, and cloud infrastructure like AWS, Azure, or GCP, • A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life This role is a unique opportunity to shape the future of AI-powered user experiences, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale. If you're excited by the intersection of AI, frontend engineering, and product design, we'd love to hear from you. The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $248,400-$310,500 USD . Compensation packages at Scale 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. 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. 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:$248,400—$310,500 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.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role: Client Principal Architect A Presidio Client Principal Architect, Digital and Cloud Migration Services for State and Local Government and Education (SLED) leads presales discovery, analysis, architecture, design, proposals, and scope-of-work creation, translating customer requirements into outcome-focused solutions through direct client engagement with key SLED accounts in a region. Leveraging sharp business acumen alongside technical expertise, presales methodology, and strong relationships (clients, Presidio stakeholders, and vendor partners), the Principal Architect analyzes industry, customer, technical, and sales context to position solutions that deliver measurable, long-term value. This position will be based in the New England area and involve traveling to regional clients in New England area up to 50% of the time. Who You Are: A Consultative Mind: You have a natural curiosity to understand a client's business first, before ever discussing a technical solution. Real Executive Presence: You know how to command a room, build consensus, and make complex ideas feel simple to C-level stakeholders. An Orchestrator: You're a master at leading matrixed teams. You know your job is to be the quarterback for our specialists, not the hero who does it all. Resilient and Gritty: You run towards the tough challenges and can navigate ambiguity without losing focus. Inventing Tomorrow: You are committed to building a premier AI and Digital consultancy that blends design thinking, deep client partnership, and cutting-edge technology to deliver measurable business value. Responsibilities include: • Drive Digital and Cloud Migration Services Sales. In partnership with sales teams, formulate and execute a technical sales strategy to exceed revenue objectives through the adoption of Presidio Digital and Cloud Migration Services - application modernization, application development, software development lifecycle (SDLC), artificial intelligence (AI), data estate and platform modernization, and cloud migration., • Understand Customer Current State.Proactively drive discovery and understanding of customer IT current state, goals, outcomes, and initiatives across Business, Technical, Operational, and Financial facets. Research industry trends and topics and develop discovery approaches. Develop and lead workshops to drive relevant discovery. Document customer current state to assist customer and sales teams target future state architectures and roadmaps., • Technical Account Leadership.Serve as the technical lead for all client projects and workstreams for relevant services. Oversee architecture and design decisions across multiple domains such as, (but not limited to), AWS, Snowflake, Tableau, Informatica, and modern data platforms. Facilitate alignment between Presidio teams and client leadership to ensure unified strategy and execution. Act as executive-facing technical advisor, engaging confidently with C-suite stakeholders. Build consensus across diverse stakeholder groups, from ICs to executives. Lead strategic roadmap discussions and present Presidio's POV on emerging trends (AI, Cloud, Data). Actively participate in client account related activities that establish the role as a trusted advisor internally and with customers, such as: Account planning, EBCs, social events, etc., • Technical Opportunity Leadership. Lead opportunities for relevant services to achieve technical win of Presidio services solutions. Identify customer stakeholders and their individual success criteria and needs. Create and lead technical solution approaches and next steps aligned to customer stakeholders. Align, vet and coordinate Presidio technical resources as needed. Engage Manager/VP/Director level at clients directly. Ensure solutions adhere to industry standards and SLED compliance requirements., • Practice Delivery Engagement. Actively participate as a liaison between customers, sales and delivery resources to ensure customer success. Lead the collaboration with delivery engineering on driving quality and properly risk managed solutions and associated formal scopes of work. Understand and be able to speak to technical details and updates from Solution Owners, Project Managers, Delivery Leads and Presales Architects, • Solution Architecture, Design and Documentation. Analyze and assess client requirements and determine target services approach, solutions, and roadmaps. Create and deliver compelling technical proposals directly to clients, including relevant drawings, diagrams and analysis., • Technical Excellence & Evangelism.Maintain a high level of technical excellence and evangelism across multiple relevant solution architecture and product areas. Lead the curation and delivery of relevant technical knowledge, presentations, and conversations at all client levels and customer related events. Actively participate in technical champion programs and communities. Attain certifications when appropriate. Learn, discuss and present new and emerging relevant topics to internal stakeholders and clients., • Team Engagement and Enable Culture.Engage Presidio team members, actively participate in team activities, and contribute on collaboration tools to drive an open, positive, inclusive, resilient, change-orientated team culture. Be a steward of the PRESIDIO CORE VALUES -Excellence, Forward-Thinking, Accountability, One Presidio., • Partner Relationships.Develop working relationships with vendor partner teams and peers, prioritizing the hyper-scaler cloud solutions and relevant ecosystems. Contribute to and drive execution of relevant partner vendor GTM strategies., • Continuous Improvement & Innovation. Actively plan and execute growth and career development activities. Seek and collaborate on improvements to presales processes and GTM., • Enable Others.Contribute to the success of others in sales and presales. Actively mentor and enable others. Share methods, content, and lessons learned with others., • Bachelor's degree or equivalent experience and/or military experience, • Overall 10+ years of relevant experience, • 7+ years of presales, architecture, design, implementation, and/or consulting in digital and/or cloud technologies, • 5+ years of specific domain experience in one or many of the following: application modernization, application development, software development lifecycle (SDLC), artificial intelligence (AI), Generative AI (GenAI), data estate modernization and modern data platforms, and/or cloud migrations, • 7+ years of experience in in designing technical solutions for State, Local Government and Education (SLED), • 5+ years hands on experience with Amazon Web Services (AWS) technologies, • Demonstrated comfort leading practitioner level presentations, solution demonstrations and whiteboard sessions, • Demonstrated comfort leading CIO/CTO level presentations, solution demonstrations and whiteboard sessions, • Aptitude for consultative presales: be curious and creative, • Growth mindset and drive for trying new ideas and actively seek mentoring and coaching, • Collaborative style and the ability to work with diverse set of stakeholders, • Expert time management and ability to set expectations in a timely manner, • AWS Solution Architecture level certifications Expe, • rience in delivering modern application architectures such as micro services, event driven architectures, and cloud native application frameworks, • Experience in software engineering or code development, • Experience with artificial intelligence (AI) solutions and deployments - including LLMs, GenAI methods (RAG, etc) , agentic frameworks (LangGraph, AutoGen, crewAI, Agent Core, etc), AI workflow low code/no code tools (n8N, Copilot Studio, etc), • Experience with reviewing and/or writing statements of work (SOW), • Experience and/or ability to prepare RFP/RFI response, proposals, and solutions Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit . Applications will be accepted on a rolling basis. Presidio is an Equal Opportunity / Affirmative Action Employer / VEVRAA Federal Contractor. All qualified candidates will receive consideration for this position regardless of race, color, creed, religion, national origin, age, sex, citizenship, ethnicity, veteran status, marital status, disability, sexual orientation, gender identification or any other characteristic protected by applicable federal, state, and local statutes, regulations, and ordinances. To read more about discrimination protections under Federal Law, please visit: If you have any difficulty using our online system and need an accommodation in the job application process due to a disability, please send an email to for assistance. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. #LI-JM3 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.

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.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 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 investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As MLRE on the Data Foundation team, you'll work on cutting edge research to define the data flywheel that makes the whole machine move. This includes research around synthetic environments from task definitions, building agents for trace analysis, and contributing to a cutting edge framework that automatically hill-climbs agent-building from an eval set. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Build synthetic data pipelines to generate enterprise environments to use for RL post-training, • Create agents to convert traces from production into actionable insights to use to improve agents, • Contribute to our agent building product which can construct other agents using coding agents + proprietary algorithms, • 3+ years of building with LLMs in a production environment, • Clear experiences with constructing high quality data to use to improve an LLM/Agent, • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years 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.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist working on Agent Robustness you will work on the fundamental challenges of building AI agents that are safe and aligned with humans. For example, you might: • Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;, • Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;, • Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable building and leveraging agent scaffolding, designing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools. 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.

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 Engineering Manager 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, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. 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 Engineering Manager and technical point of contact for strategic enterprise accounts, • Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration, • 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, • 5+ years of software engineering experience with 2+ yrs of Management 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.

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.

Job Description Founded in 1974, Community Access continues to uphold and operate as a pioneer of supportive housing and social services in NYC for people with mental health concerns. We proudly lead advocacy efforts that rally our community to promote human rights, social justice, and economic opportunities for all. We are built upon the simple truth that people are experts in their own lives. Our programs are spread across 25 locations and include over 1200 units of supportive housing in three boroughs, the Howie the Harp Advocacy Center, Peer-driven Crisis Respite Center, Adult Home Initiative, Assertive Community Treatment (ACT) and the Intensive Mobile Team (IMT). Program/Department Description The property management department acts as the managing agent for (1) buildings that Community Access (CA) owns or controls; (2) buildings for which CA has contracted to provide property management services; and (3) individual apartments in other buildings that are part of CA’s “scattered site” supportive housing programs. The property management department is responsible for lease maintenance, rent collection, property financial reports and compliance with government regulations (such as Low-Income Housing Tax Credits, HOME, and Housing Trust Fund). Facilities management is an organizational function that ensures the comfort, functionality, and safety of the CA’s premises to create a conducive living and working environment for everyone. Position Overview Under the supervision of the Area Superintendent, the Maintenance Mechanic assists with maintaining agency apartments and facilities as needed and directed by the Area Superintendent. Assistance includes cleaning, disinfection, trash removal and other building maintenance tasks, as well as minor repair in the areas of masonry, carpentry, electrical, plumbing, painting and overall maintenance of residential building systems. Key Performance Indicators All key performance indicators below are expected to be met fully. • Maintenance Work Orders:, • Life-threatening/emergency: 24 hours, • High priority: 5 days, • Medium priority: 14 days, • Low priority: 30 days, • Preventative: 30 days, • Apartment Turnovers:, • Studio: 7-12 days, • 1-bedroom: 8-13 days, • 2-bedroom: 9-14 days, • 3-bedroom: 10-15 days, • Additional services (deep clean, flooring, cabinetry):, • +14 days for 1 service, • +28 days for 2 services, • +42 days for 3 services, • Facilities/Property Management Joint KPIs:, • Rent collection: 95%, • Vacancies: 5% or less, • Lease renewals: 100%, • Annual certification: 100%, • Semi-annual apartment inspections: 95% or greater, • Performance Evaluations:, • Excellent: 95% - 100%, • Good: 90% - 94%, • Needs improvement: 85% - 89%, • Poor: Below 85% Job Qualifications • Have an understanding, appreciation, and commitment to the philosophy and mission of Community Access., • Ability to prioritize and meet deadlines., • Strong analytical ability., • Excellent oral and written communication skills., • Be creative and flexible., • Ability to utilize various computer programs, specifically Microsoft Word and Excel., • Show initiative and be responsible for follow through., • Ability to maintain confidential information, as related to position., • Ability to work independently and as part of a team. Bilingual candidates are encouraged to apply. Interested candidates should apply on . Community Access is an Equal Opportunity Employer. M/F/D/V. Women, People of Color and Members of the LGBT community are strongly encouraged to apply. .

Job Description Founded in 1974, Community Access continues to uphold and operate as a pioneer of supportive housing and social services in NYC for people with mental health concerns. We proudly lead advocacy efforts that rally our community to promote human rights, social justice, and economic opportunities for all. We are built upon the simple truth that people are experts in their own lives. Our programs are spread across 25 locations and include over 1200 units of supportive housing in three boroughs, the Howie the Harp Advocacy Center, Peer-driven Crisis Respite Center, Adult Home Initiative, Assertive Community Treatment (ACT) and the Intensive Mobile Team (IMT). Program/Department Description: The property management department acts as the managing agent for (1) buildings that Community Access (CA) owns or controls; (2) buildings for which CA has contracted to provide property management services; and (3) individual apartments in other buildings that are part of CA’s “scattered site” supportive housing programs. The property management department is responsible for lease maintenance, rent collection, property financial reports and compliance with government regulations (such as Low-Income Housing Tax Credits, HOME, and Housing Trust Fund). Position Overview The Maintenance Worker is responsible for daily cleaning and maintenance of the building to ensure that a safe and adequate living environment is provided to tenants, staff and visitors at all times. Qualifications • Have an understanding, appreciation, and commitment to the philosophy and mission of Community Access., • Minimum of a high school diploma or equivalent (GED)., • Minimum of one year of training or two years of work experience in related trades., • Knowledge of appropriate cleaning agents., • Ability to operate and maintain appropriates machines such as buffer, wet/dry vacuum, etc., • Ability to work overtime hours as needed, • Ability to regularly lift and carry items that weigh up to 100 lbs., • Must be able to walk up several flights of stairs., • Possess the aptitude and work skills for custodial/janitorial duties., • Must have good communication skills., • Must have good interpersonal skills., • Must be fingerprinted and cleared by the New York State Justice Center. Bilingual candidates are encouraged to apply. Interested candidates should apply on . Community Access is an Equal Opportunity Employer. M/F/D/V. Women, People of Color and Members of the LGBT community are strongly encouraged to apply. We are dedicated to a workforce where at least 51% of our employees identify as having a personal experience using mental health services.

Border Patrol Agent (BPA) – in the Federal Security and Public Safety Sector Experienced (GL-9 GS-11) SAME MISSION, NEW DRIVE! You love protecting your community and doing your part to keep our nation safe. But maybe you’re looking for a change of scenery? USBP is hiring immediately for full-time, career positions, where your prior law enforcement officer (LEO) experience may qualify you for higher-graded Border Patrol Agent (BPA) opportunities. Continue making a difference with the nation's premier federal agency charged with securing our borders and protecting our country. Whether you gained this experience as part of a military police unit or as a member of a state or local law enforcement organization, you have an opportunity to work with highly trained professionals whose camaraderie, pride, and purpose are hallmarks of their daily mission. Check out the duties and responsibilities section below, along with the qualifications section to see if you are eligible. Now is the time to make your move, along with excellent base pay, location pay, exceptional benefits, and job stability, USBP is offering up to $60,000 in additional incentives to newly appointed Agents (see details below). DON’T FORGET TO CHECK OUT THE INCENTIVES – SEE SALARY SECTION BELOW IMPORTANT NOTICE: Duty assignments available at the time of offer may include the Southwest Border, including prioritized locations. U.S. Border Patrol determines duty assignments at the time of offer based on operational needs, which may or may not align with candidates’ first-choice preferences. Relocation may be required. U.S. Customs and Border Protection (CBP) is hiring immediately for these full-time, career Law Enforcement Officer (LEO) opportunities. Salary and Benefits: Salary for newly appointed law enforcement Border Patrol Agents varies from: Base Salary: GL-9/GS-11, $63,148 - $120,145 per year Locality Pay: Varies by duty location. Overtime Pay: Up to 25% Duty location impacts pay rates; locality pay for federal law enforcement is higher in some locations than others. A fully trained BPA may be eligible for up to an additional 25% of base pay per the BPA Pay Reform Act of 2014. This is a career ladder position with a grade level progression from GL-9 to GS-11 to GS-12. You will be eligible for a promotion to the next higher grade level (without re-applying) once you successfully complete 52 weeks in the lower grade level. All Border Patrol Agents may select from an array of federal employment benefits that include health and insurance plans, a generous annual and sick leave program, and participation in the Thrift Savings Plan, a retirement plan that is similar to traditional and ROTH 401(k) offerings. Newly appointed Border Patrol Agents (as defined in 5 CFR 575.102 ) will be offered up to a $20,000 incentive. The first $10,000 will be paid upon successful completion of the Border Patrol Academy, with the remaining $10,000 awarded for accepting a prioritized location. Prioritized locations include Sierra Blanca, TX; Presidio, TX; Sanderson, TX; Comstock, TX; Lordsburg, NM; Freer, TX; Hebbronville, TX; Ajo, AZ. Newly appointed Border Patrol Agents may also qualify for up to $40,000 in additional incentives distributed over their first four years. Duty Locations: You will be asked to select your preferred location for one of the following mission critical locations: Big Bend Sector Stations - *Presidio, Van Horn, *Sanderson, Alpine, *Sierra Blanca, Marfa Buffalo Sector Stations - Wellesley Island Del Rio Sector Stations - Del Rio, Brackettville, *Comstock, Eagle Pass North, Eagle Pass South, Carrizo Springs, Uvalde El Paso Sector Stations - Alamogordo, Clint, Deming, El Paso, Fort Hancock, Las Cruces, *Lordsburg, Santa Teresa, Ysleta El Centro Sector Stations - El Centro, Indio, Calexico Grand Forks Sector Stations - Pembina Havre Sector Stations - Havre, Malta, Plentywood, Scobey, Sweetgrass Houlton Sector Stations - Calais, Fort Fairfield, Jackman, Rangeley, Van Buren Laredo Sector Stations - Laredo South, Cotulla, *Hebbronville, Laredo West, *Freer, Laredo North, Zapata Rio Grande Valley Sector Stations - Rio Grande City, Fort Brown, McAllen, Brownsville, Falfurrias, Weslaco, Kingsville, Harlingen San Diego Sector Stations - Boulevard, Brownfield, Campo, Chula Vista, Imperial Beach, Murrieta, San Clemente Spokane Sector Stations - Colville, Curlew, Metaline Falls, Oroville Swanton Sector Stations - Beecher Falls, Burke, Champlain, Newport, Richford Tucson Sector Stations - *Ajo, Tucson, Nogales, Douglas, Brian A Terry, Sonoita, Casa Grande, Three Points Substation, Willcox Yuma Sector Stations - Blythe, Yuma, Wellton Duties and Responsibilities: As a BPA, you will be part of our 60,000+ workforce that strives to protect the American people by safeguarding our borders, deterring illicit activity, and enhancing the nation’s economic prosperity. Being a BPA makes you a valuable member of the Federal Law Enforcement Officer (LEO) profession. Typical assignments include: Detecting and questioning people suspected of violating immigration and customs laws and inspecting documents and possessions to determine citizenship or violations. Preventing and apprehending aliens and smugglers of aliens at or near the borders by maintaining surveillance from covert positions to include using infrared scopes during night operations. Interpreting and following tracks, marks, and other physical evidence of illegal entry of persons or contraband. Performing farm checks, building checks, traffic checks, city patrols, and transportation checks. Patrolling the international boundary and coastal waterways using a variety of government assets such as vehicles, horses, vessels, watercraft, off-road vehicles, ATVs, snowmobiles, and motorcycles for the accomplishment of the USBP Mission. Qualifications: GL-9: You qualify for the GL-9 grade level if you possess one (1) year of specialized experience, equivalent to at least the next lower grade level, performing duties such as: Performing physical searches of detained individuals, their vehicles, and their immediate surroundings for weapons, contraband, currency, and other evidence. Apprehending, physically restraining, or working with law enforcement officials to identify or apprehend violators of state, federal, or immigration laws. Proficient in the use of firearms, preparing investigative reports, serving court orders (e.g., warrants, subpoenas, etc.), and gathering evidence for criminal cases prosecuted through the court system. If you have previous or current law enforcement or military law enforcement experience, you may qualify at the GS-11 grade level. GS-11: You qualify for the GS-11 grade level if you possess one year of specialized experience equivalent to at least the next lower grade level, with the authority granted by the state or government to enforce laws, make arrests, and investigate crimes, performing primary duties in an official law enforcement capacity such as: Utilizing intelligence information to track illegal operations, criminal activity, threats to our nation, and/or contraband while serving as a state, federal, or military law enforcement official. Leading investigations of fraud, contraband, criminal activity, threats to our nation, and/or illegal operations to determine sources and patterns while serving as a state, federal, or military law enforcement official. Apprehending violators of state, federal, or immigration laws by utilizing various forms of complex technology that include surveillance, detection, situation awareness systems, and/or communications equipment. The above experience will be applied in connection with the following: Make arrests and exercise sound judgment in the use of firearms; deal effectively with people in a courteous manner in connection with law enforcement matters; analyze information rapidly and make prompt decisions; or develop and maintain contact with a network of informants. There are no education substitutions for the GL-9 or GS-11 grade-level Border Patrol Agent opportunities. Other Requirements: Citizenship: You must be a U.S. Citizen to apply for this position. Residency: You must have had primary U.S. residency (including protectorates as declared under international law) for at least three of the last five years. Age Restriction: In accordance with Public Law 100-238, this position is covered under law enforcement retirement provisions. Candidates must be referred for selection to the Border Patrol Agent position before reaching their 40th birthday in accordance with Department of Homeland Security Directive 251-03. The age restriction may not apply if you are currently serving or have previously served in a federal civilian law enforcement (non-military) position covered by Title 5 U.S.C. 8336(c) or Title 5 U.S.C. 8412(d). Veterans’ Preference: You may also be eligible for an excepted service Veterans’ Recruitment Appointment (VRA). The age restriction does not apply if you are Veterans' Preference eligible. Formal Training: After you are hired, you will be detailed to the U.S. Border Patrol Academy in Artesia, New Mexico, for approximately six (6) months of intensive instruction in immigration and nationality laws, law enforcement, and USBP-specific operations, driver training, physical techniques, firearms, and other courses. Border Patrol work requires the ability to speak and read Spanish, as well as English. Border Patrol Agents will be provided training to become proficient in the Spanish language at the Academy. How to Apply: Click the Apply button on this site. You will be linked to the CBP Talent Network registration page. For Position of Interest, select Border Patrol Agent, and then complete the pre-screening questions. You’ll then receive a link(s) to the BPA Job Opening Announcements (JOAs) on USAJOBS, the federal government’s official employment site, to complete your application. Be certain to review ALL details of the job opportunity announcement and follow all instructions in the application process, including items (resume, transcripts, etc.) to submit. You will be evaluated based on your resume, supporting documents, and the BPA Entrance Exam. If you have questions about the application process, contact a recruiter through the U.S. Border Patrol page: careers.cbp.gov/s/usbp. NOTE: As a subscriber to the CBP Talent Network, you’ll receive monthly emails with information about webinars, career expos, and future opportunities with CBP.

February 2026 Update GL-5/7 grade levels Border Patrol Agent (BPA) – in the Federal Security and Public Safety Sector (Entry Level) A MISSION WORTHY OF A CAREER! If you’re looking for “just a job,” then stop reading right now. But, if you’re looking for a long-term federal law enforcement career, one that makes a difference every day to our country and its citizens, then the U.S. Border Patrol (USBP) would like you to take the first step to becoming an entry level Border Patrol Agent. USBP is hiring immediately to fill full-time, entry-level, career positions in federal law enforcement where your prior experience in public safety, security, military police or law enforcement may qualify. Train and work with an elite team of professionals whose camaraderie, pride, and sense of purpose are hallmarks of their daily mission of protecting America. Now is the time to make your move because, along with excellent base pay, exceptional benefits, and job stability, USBP is offering up to $60,000 in additional incentives (see details below). Salary and Benefits Annual base salary for newly appointed BPAs varies per grade, as follows: GL-5/GL-7 $51,632 - $92,219 per year. Border Patrol Agents are eligible to select from an array of federal employment benefits that include health, dental and other insurance plans, a generous annual and sick leave program, and participation in the Thrift Savings Plan, a retirement plan akin to a traditional ROTH 401(k) offering. Newly appointed Border Patrol Agents (as defined in 5 CFR 575.102 ) will be eligible for up to $20,000 in incentives. The first $10,000 will be paid upon successful completion of the Border Patrol Academy, with the remaining $10,000 awarded for accepting a prioritized location such as Sierra Blanca, Presidio, Sanderson, Comstock, Freer or Hebbronville, TX; Lordsburg, NM; or Ajo, AZ. Newly appointed Border Patrol Agents may also qualify for up to $40,000 in additional incentives distributed over their first four years. Duty Locations IMPORTANT NOTICED: Duty assignments available at the time of offer may include the Southwest Border, including prioritized locations. U.S. Border Patrol determines duty assignments at the time of offer based on operational needs, which may or may not align with candidates’ first-choice preferences. RELOCATION MAY BE REQUIRED. Duty location impacts pay rates; locality pay for federal law enforcement is higher in some locations than others. A fully trained BPA may be eligible for up to an additional 25% of base pay per the BPA Pay Reform Act of 2014. This is a career ladder position with a grade level progression of GL-5, GL-7, GL-9, GS-11, and GS-12. You will be eligible for a promotion to the next higher grade level (without reapplying) once you successfully complete 52 weeks in each grade level. Duty Locations: You will be asked to select your preferred location for one of the following mission critical locations:> Big Bend Sector Stations - *Presidio, Van Horn, *Sanderson, Alpine, *Sierra Blanca, Marfa Buffalo Sector Stations - Wellesley Island Del Rio Sector Stations - Del Rio, Brackettville, *Comstock, Eagle Pass North, Eagle Pass South, Carrizo Springs, Uvalde El Paso Sector Stations - Alamogordo, Clint, Deming, El Paso, Fort Hancock, Las Cruces, *Lordsburg, Santa Teresa, Ysleta El Centro Sector Stations - El Centro, Indio, Calexico Grand Forks Sector Stations - Pembina Havre Sector Stations - Havre, Malta, Plentywood, Scobey, Sweetgrass Houlton Sector Stations - Calais, Fort Fairfield, Jackman, Rangeley, Van Buren Laredo Sector Stations - Laredo South, Cotulla, *Hebbronville, Laredo West, *Freer, Laredo North, Zapata Rio Grande Valley Sector Stations - Rio Grande City, Fort Brown, McAllen, Brownsville, Falfurrias, Weslaco, Kingsville, Harlingen San Diego Sector Stations - Boulevard, Brownfield, Campo, Chula Vista, Imperial Beach, Murrieta, San Clemente Spokane Sector Stations - Colville, Curlew, Metaline Falls, Oroville Swanton Sector Stations - Beecher Falls, Burke, Champlain, Newport, Richford Tucson Sector Stations - *Ajo, Tucson, Nogales, Douglas, Brian A Terry, Sonoita, Casa Grande, Three Points Substation, Willcox Yuma Sector Stations - Blythe, Yuma, Wellton Duties and Responsibilities As a BPA, you will be part of our 60,000+ workforce that strives to protect the American people by safeguarding our borders, deterring illicit activity, and enhancing the nation’s economic prosperity. Being a BPA makes you a valuable member of the Federal Law Enforcement Officer (LEO) profession. Typical assignments include: Detecting and questioning people suspected of violating immigration and custom laws and inspecting documents and possessions to determine citizenship or violations Preventing and apprehending undocumented noncitizens and smugglers of noncitizens at or near the borders by maintaining surveillance from covert positions to include using infrared scopes during night operations Interpreting and following tracks, marks, and other physical evidence of illegal entry of persons or contraband Performing farm checks, building checks, traffic checks, city patrols, and transportation checks Patrolling the international boundary and coastal waterways using a variety of government assets such as vehicles, horses, vessels, watercraft, off-road vehicles, ATVs, snowmobiles, and motorcycles for the accomplishment of the USBP Mission. Qualifications You qualify for the GL-5 grade level if you possess one of the following: Experience: One (1) year of general work experience that demonstrates the ability to take charge, make sound decisions, and maintain composure in stressful situations; to learn regulations, methods, and techniques through classroom training and/or on-the-job instruction; and the ability to gather concise information through questioning, observation, and examination of documents and records; OR Education Substitution: A bachelor's degree or successful completion of a full four-year course of study in any field leading to a bachelor's degree from an accredited college or university; OR Combination of Experience and Education: A combination of general work experience AND successfully completed college education. This will be calculated using your resume and official or unofficial transcripts submitted with your application. You qualify for the GL-7 grade level if you possess one of the following: Experience: One year of specialized work experience that shows you have the skills necessary to: Make sound judgments and decisions in the use of firearms. Deal effectively with people in a courteous and tactful manner in connection with law enforcement matters. Analyze information rapidly and make prompt decisions where you will be expected to make arrests after the completion of required training and apply these skills in a law enforcement capacity such as criminal code enforcement, determining violations of laws, correctional or rehabilitation work involving criminal offenders, security, military, etc. The above experience will be applied in connection with the following: Make arrests and exercise sound judgment in the use of firearms; deal effectively with people in a courteous manner in connection with law enforcement matters; analyze information rapidly and make prompt decisions; or develop and maintain contact with a network of informants. Education Substitution for the GL-7 grade level: A bachelor's degree with superior academic achievement, which is based on (1) class standing, (2) grade-point average (i.e., GPA of 3.0 or higher out of a possible 4.0), or (3) honor society membership. Or will receive a bachelor's degree with Superior Academic Achievement. Or one full year of graduate-level education in a field of study related to law enforcement (e.g., criminal justice, homeland security, justice studies, law enforcement, courts and judicial systems, forensic technology, forensic psychology, or corrections and rehabilitation) from an accredited college or university; OR A Combination of Experience and Education: This will be calculated using your resume and official or unofficial transcripts submitted with your application. Note: If you have previous or current law enforcement or military law enforcement experience, you may qualify at the GL-9 and or GS-11 grade level. Please refer to the BPA GL-9 - 11 announcement. Other Requirements Citizenship: You must be a U.S. Citizen to apply for this position. Residency: You must have had primary U.S. residency (includes protectorates as declared under international law) for at least three of the last five years. Age Restriction: In accordance with Public Law 100-238, this position is covered under law enforcement retirement provisions. Candidates must be referred for selection to the Border Patrol Agent position before reaching their 40th birthday in accordance with Department of Homeland Security Directive 251-03. The age restriction may not apply if you are currently serving or have previously served in a federal civilian law enforcement (non-military) position covered by Title 5 U.S.C. 8336(c) or Title 5 U.S.C. 8412(d). Veterans’ Preference: You may also be eligible for an excepted service Veterans Recruitment Appointment (VRA). The age restriction does not apply if you are Veterans' Preference eligible. Formal Training: After you are hired, you will be detailed to the U.S. Border Patrol Academy in Artesia, New Mexico, for approximately six (6) months of intensive instruction in immigration and nationality laws, law enforcement and USBP-specific operations, driver training, physical techniques, firearms, and other courses. Border Patrol work requires the ability to speak and read Spanish, as well as English. Border Patrol Agents will be provided training to become proficient with the Spanish language at the Academy. How to Apply: Click the Apply button on this site. You will be linked to the CBP Talent Network registration page. For Position of Interest, select Border Patrol Agent, then complete the pre-screening questions. You’ll then receive a link(s) to the BPA Job Opening Announcements (JOAs) on USAJOBS, the federal government’s official employment site, to complete your application. Be certain to review ALL details of the job opportunity announcement and follow all instructions in the application process, including items (resume, transcripts, etc.) to submit. You will be evaluated based on your resume, supporting documents, and the BPA Entrance Exam. If you have questions about the application process, contact a recruiter through the U.S. Border Patrol page: careers.cbp.gov/s/usbp. As a subscriber to the CBP Talent Network, you’ll receive monthly emails with information about webinars, career expos, and future opportunities with CBP.

The New York City Department of Investigation (DOI) is one of the oldest law enforcement agencies in the country; its mission is to combat municipal corruption. DOI serves the people of New York City by acting as an independent and nonpartisan watchdog for New York City government, City agencies, and City employees, vendors with City contracts, individuals and entities that receive City funds. The Department of Investigation (DOI) is seeking a highly skilled Assistant Inspector General to join Squad 3 which oversees several key New York City agencies, including the Department of Housing Preservation and Development, the Department of Buildings, the Housing Development Corporation, the Department of Small Business Services, the Department of City Planning, the Business Integrity Commission, the Landmarks Preservation Commission, and the Board of Standards and Appeals. The Assistant Inspector General will conduct and supervise complex and long-term investigations of fraud and corruption involving the construction and affordable housing industries and Squad 3's portfolio of agencies, using all types of investigative tools, including subpoenas and interviews. The Assistant Inspector General will use his or her experience and knowledge of the agencies to serve as a resource for colleagues, providing guidance and assistance as needed. The Assistant Inspector General is expected to demonstrate ingenuity, resourcefulness, creativity, independence, and analytical thinking in their case work, and to develop the same in junior investigators. The Assistant Inspector General must meet the highest standards of professionalism, discretion, and integrity. Key Responsibilities: • Lead and supervise investigations into suspected fraud, corruption, and misconduct involving City employees, developers, contractors, vendors, and public benefit recipients., • Examine a wide range of records and data --including construction and development filings, housing applications, financial statements, and agency records and policies --to detect vulnerabilities and irregularities., • Plan and execute investigative operations, including interviews of witnesses and subjects, surveillance activities, subpoenas, and fieldwork across New York City., • Collaborate closely with DOI attorneys, auditors, analysts, and investigators, as well as prosecutors and other law enforcement agencies, in advancing investigations and sharing findings., • Draft clear investigative reports and written referrals, • Propose operational and procedural reforms to strengthen agency controls and reduce risk., • Maintain meticulous case documentation in compliance with DOI standards and uphold confidentiality and integrity in all investigative activities. If selected, the candidate will be fingerprinted and undergo a background investigation. In addition, because the position has a law enforcement and/or investigative function, the candidate's consumer credit history will be reviewed during the background investigation, as permitted by NYC Administrative Code 8-107(24)(b)(2)(A). SPECIAL INVESTIGATOR - 31130 Minimum Qualifications 1. A four-year high school diploma or its educational equivalent approved by a State's Department of Education or a recognized accrediting organization and four years of satisfactory full-time experience in an industrial or governmental agency in the field of investigation, auditing, law enforcement, security, inspections, or in a major operational area of the agency in which the appointment is to be made; or, 2. A baccalaureate degree from an accredited college or university; or, 3. Education and/or experience equivalent to "1" or "2" above. Preferred Skills The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

Border Patrol Agent (BPA) Entry Level NEW RECRUITMENT AND RETENTION INCENTIVES! IMPORTANT NOTICE: Duty assignments available at the time of offer may include the Southwest Border, including prioritized locations. U.S. Border Patrol determines duty assignments at the time of offer based on operational needs, which may or may not align with candidates' first-choice preferences. Relocation may be required. DON'T FORGET TO CHECK OUT THE INCENTIVES – SEE SALARY SECTION BELOW The U.S. Border Patrol (USBP) offers those interested in a career in law enforcement an opportunity to work with an elite team of highly trained professionals whose camaraderie, pride, and purpose are hallmarks of their daily mission of protecting America. If you seek an exciting and rewarding job that provides excellent pay, exceptional federal benefits, and job stability, now is the time to make your move. U.S. Border Patrol (USBP), within the U.S. Customs and Border Protection (CBP), is hiring immediately for these full-time, entry-level , career Law Enforcement Officer (LEO) opportunities. Salary and Benefits Annual Base Salary for newly appointed BPAs varies per grade, as follows: GL-5/GL-7 $49,739 - $89,518 per year Duty location impacts pay rates; locality pay for federal law enforcement is higher in some locations than others. A fully trained BPA may be eligible for up to an additional 25% of base pay per the BPA Pay Reform Act of 2014. This is a career ladder position with a grade level progression of GL-5, GL-7, GL-9, GS-11, and GS-12. You will be eligible for a promotion to the next higher grade level (without reapplying) once you successfully complete 52 weeks in each grade level. Border Patrol Agents are eligible to select from an array of federal employment benefits that include health, dental and other insurance plans, a generous annual and sick leave program, and participation in the Thrift Savings Plan, a retirement plan akin to a traditional ROTH 401(k) offering. Recruitment Incentive Newly appointed Border Patrol Agents (as defined in 5 CFR 575.102 ) will be offered up to a $20,000 incentive. The first $10,000 will be paid upon successful completion of the Border Patrol Academy, with the remaining $10,000 awarded for accepting a prioritized location. Prioritized locations include Sierra Blanca, TX; Presidio, TX; Sanderson, TX; Comstock, TX; Lordsburg, NM; Freer, TX; Hebbronville, TX; Ajo, AZ. Retention Incentive Newly appointed Border Patrol Agents may also qualify for up to $40,000 in additional incentives distributed over their first four years. Duties and Responsibilities As a BPA, you will be part of our 60,000 workforce that strives to protect the American people by safeguarding our borders, deterring illicit activity, and enhancing the nation's economic prosperity. Being a BPA makes you a valuable member of the Federal Law Enforcement Officer (LEO) profession. Typical assignments include: Detecting and questioning people suspected of violating immigration and custom laws and inspecting documents and possessions to determine citizenship or violations Preventing and apprehending undocumented noncitizens and smugglers of noncitizens at or near the borders by maintaining surveillance from covert positions to include using infrared scopes during night operations Interpreting and following tracks, marks, and other physical evidence of illegal entry of persons or contraband Performing farm checks, building checks, traffic checks, city patrols, and transportation checks Patrolling the international boundary and coastal waterways using a variety of government assets such as vehicles, horses, vessels, watercraft, off-road vehicles, ATVs, snowmobiles, and motorcycles for the accomplishment of the USBP Mission. Qualifications You qualify for the GL-5 grade level if you possess one of the following: Experience: One (1) year of general work experience that demonstrates the ability to take charge, make sound decisions, and maintain composure in stressful situations; to learn regulations, methods, and techniques through classroom training and/or on-the-job instruction; and the ability to gather concise information through questioning, observation, and examination of documents and records; OR Education Substitution: A bachelor's degree or successful completion of a full four-year course of study in any field leading to a bachelor's degree from an accredited college or university; OR Combination of Experience and Education: A combination of general work experience AND successfully completed college education. This will be calculated using your resume and official or unofficial transcripts submitted with your application. You qualify for the GL-7 grade level if you possess one of the following: Experience: One year of specialized work experience that shows you have the skills necessary to: Make sound judgments and decisions in the use of firearms. Deal effectively with people in a courteous and tactful manner in connection with law enforcement matters. Analyze information rapidly and make prompt decisions where you will be expected to make arrests after the completion of required training and apply these skills in a law enforcement capacity such as criminal code enforcement, determining violations of laws, correctional or rehabilitation work involving criminal offenders, security, military, etc. The above experience will be applied in connection with the following: Make arrests and exercise sound judgment in the use of firearms; deal effectively with people in a courteous manner in connection with law enforcement matters; analyze information rapidly and make prompt decisions; or develop and maintain contact with a network of informants. Education Substitution for the GL-7 grade level: A bachelor's degree with superior academic achievement, which is based on (1) class standing, (2) grade-point average (i.e., GPA of 3.0 or higher out of a possible 4.0), or (3) honor society membership. Or will receive a bachelor's degree with Superior Academic Achievement. Or one full year of graduate-level education in a field of study related to law enforcement (e.g., criminal justice, homeland security, justice studies, law enforcement, courts and judicial systems, forensic technology, forensic psychology, or corrections and rehabilitation) from an accredited college or university; OR A Combination of Experience and Education: This will be calculated using your resume and official or unofficial transcripts submitted with your application. Note: If you have previous or current law enforcement or military law enforcement experience, you may qualify at the GL-9 and or GS-11 grade level. Please refer to the BPA GL-9 - 11 announcement. Other Requirements Citizenship : You must be a U.S. Citizen to apply for this position. Residency : You must have had primary U.S. residency (includes protectorates as declared under international law) for at least three of the last five years. Age Restriction : In accordance with Public Law 100-238, this position is covered under law enforcement retirement provisions. Candidates must be referred for selection to the Border Patrol Agent position before reaching their 40th birthday in accordance with Department of Homeland Security Directive 251-03. The age restriction may not apply if you are currently serving or have previously served in a federal civilian law enforcement (non-military) position covered by Title 5 U.S.C. 8336(c) or Title 5 U.S.C. 8412(d). Veterans' Preference : You may also be eligible for an excepted service Veterans Recruitment Appointment (VRA). The age restriction does not apply if you are Veterans' Preference eligible. Formal Training : After you are hired, you will be detailed to the U.S. Border Patrol Academy in Artesia, New Mexico, for approximately six (6) months of intensive instruction in immigration and nationality laws, law enforcement and USBP-specific operations, driver training, physical techniques, firearms, and other courses. Border Patrol work requires the ability to speak and read Spanish, as well as English. Border Patrol Agents will be provided training to become proficient with the Spanish language at the Academy. How to Apply: Click the Apply button on this site. You will be linked to the CBP Talent Network registration page. For Position of Interest, select Border Patrol Agent, then complete the pre-screening questions. You'll then receive a link(s) to the BPA Job Opening Announcements (JOAs) on USAJOBS, the federal government's official employment site, to complete your application. Be certain to review ALL details of the job opportunity announcement and follow all instructions in the application process, including items (resume, transcripts, etc.) to submit. You will be evaluated based on your resume, supporting documents, and the BPA Entrance Exam . If you have questions about the application process, contact a recruiter through the U.S. Border Patrol page: careers.cbp.gov/s/usbp . As a subscriber to the CBP Talent Network, you'll receive monthly emails with information about webinars, career expos, and future opportunities with CBP.5c143e31-5e48-4549-b638-05792d185386

Border Patrol Agent (BPA) - Experienced (GL-9 GS-11) NEW RECRUITMENT AND RETENTION INCENTIVES! Check out these higher-salaried federal law enforcement opportunities with the U.S. Customs and Border Protection. Your current or prior law enforcement experience may qualify you for this career opportunity with the nation's premier federal agency charged with securing our borders and protecting our country. You may qualify for these higher-graded Border Patrol Agent (BPA) employment opportunities if you have current or prior law enforcement experience. This experience could have been gained as part of a military police assignment or as a member of a state or local law enforcement organization. Look at the duties and responsibilities section below to see if you are interested in these federal law enforcement opportunities and review the qualifications section below to see if you are qualified. DON'T FORGET TO CHECK OUT THE INCENTIVES – SEE SALARY SECTION BELOW IMPORTANT NOTICE: Duty assignments available at the time of offer may include the Southwest Border, including prioritized locations. U.S. Border Patrol determines duty assignments at the time of offer based on operational needs, which may or may not align with candidates' first-choice preferences. Relocation may be required. The U.S. Border Patrol (USBP) offers those interested in a career in law enforcement an opportunity to work with an elite team of highly trained professionals whose camaraderie, pride, and purpose are hallmarks of their daily mission of protecting America. If you seek an exciting and rewarding job that provides excellent pay and exceptional federal benefits, now is the time to make your move. U.S. Customs and Border Protection (CBP) is hiring immediately for these full-time, career Law Enforcement Officer (LEO) opportunities. Salary and Benefits: Salary for newly appointed law enforcement Border Patrol Agents varies from: Base Salary: GL-9/GS-11 $63,148 - $120,145 per year Locality Pay: Varies by duty location. Overtime Pay: Up to 25% Duty location impacts pay rates; locality pay for federal law enforcement is higher in some locations than others. A fully trained BPA may be eligible for up to an additional 25% of base pay per the BPA Pay Reform Act of 2014. This is a career ladder position with a grade level progression from GL-9 to GS-11 to GS-12. You will be eligible for a promotion to the next higher grade level (without re-applying) once you successfully complete 52 weeks in the lower grade level. All Border Patrol Agents may select from an array of federal employment benefits that include health and insurance plans, a generous annual and sick leave program, and participation in the Thrift Savings Plan, a retirement plan that is similar to traditional and ROTH 401(k) offerings. Recruitment Incentive Newly appointed Border Patrol Agents (as defined in 5 CFR 575.102 ) will be offered up to a $20,000 incentive. The first $10,000 will be paid upon successful completion of the Border Patrol Academy, with the remaining $10,000 awarded for accepting a prioritized location. Prioritized locations include Sierra Blanca, TX; Presidio, TX; Sanderson, TX; Comstock, TX; Lordsburg, NM; Freer, TX; Hebbronville, TX; Ajo, AZ. Retention Incentive Newly appointed Border Patrol Agents may also qualify for up to $40,000 in additional incentives distributed over their first four years. Duties and Responsibilities: As a BPA, you will be part of our 60,000 workforce that strives to protect the American people by safeguarding our borders, deterring illicit activity, and enhancing the nation's economic prosperity. Being a BPA makes you a valuable member of the Federal Law Enforcement Officer (LEO) profession. Typical assignments include: Detecting and questioning people suspected of violating immigration and customs laws and inspecting documents and possessions to determine citizenship or violations. Preventing and apprehending aliens and smugglers of aliens at or near the borders by maintaining surveillance from covert positions to include using infrared scopes during night operations. Interpreting and following tracks, marks, and other physical evidence of illegal entry of persons or contraband. Performing farm checks, building checks, traffic checks, city patrols, and transportation checks. Patrolling the international boundary and coastal waterways using a variety of government assets such as vehicles, horses, vessels, watercraft, off-road vehicles, ATVs, snowmobiles, and motorcycles for the accomplishment of the USBP Mission. Qualifications: GL-9: You qualify for the GL-9 grade level if you possess one (1) year of specialized experience, equivalent to at least the next lower grade level, performing duties such as: Performing physical searches of detained individuals, their vehicles, and their immediate surroundings for weapons, contraband, currency, and other evidence. Apprehending, physically restraining, or working with law enforcement officials to identify or apprehend violators of state, federal, or immigration laws. Proficient in the use of firearms, preparing investigative reports, serving court orders (e.g., warrants, subpoenas, etc.), and gathering evidence for criminal cases prosecuted through the court system. If you have previous or current law enforcement or military law enforcement experience, you may qualify at the GS-11 grade level. GS-11: You qualify for the GS-11 grade level if you possess one year of specialized experience equivalent to at least the next lower grade level, with the authority granted by the state or government to enforce laws, make arrests, and investigate crimes, performing primary duties in an official law enforcement capacity such as: Utilizing intelligence information to track illegal operations, criminal activity, threats to our nation, and/or contraband while serving as a state, federal, or military law enforcement official. Leading investigations of fraud, contraband, criminal activity, threats to our nation, and/or illegal operations to determine sources and patterns while serving as a state, federal, or military law enforcement official. Apprehending violators of state, federal, or immigration laws by utilizing various forms of complex technology that include surveillance, detection, situation awareness systems, and/or communications equipment. The above experience will be applied in connection with the following: Make arrests and exercise sound judgment in the use of firearms; deal effectively with people in a courteous manner in connection with law enforcement matters; analyze information rapidly and make prompt decisions; or develop and maintain contact with a network of informants. There are no education substitutions for the GL-9 or GS-11 grade-level Border Patrol Agent opportunities. Other Requirements: Citizenship : You must be a U.S. Citizen to apply for this position. Residency : You must have had primary U.S. residency (including protectorates as declared under international law) for at least three of the last five years. Age Restriction : In accordance with Public Law 100-238, this position is covered under law enforcement retirement provisions. Candidates must be referred for selection to the Border Patrol Agent position before reaching their 40th birthday in accordance with Department of Homeland Security Directive 251-03. The age restriction may not apply if you are currently serving or have previously served in a federal civilian law enforcement (non-military) position covered by Title 5 U.S.C. 8336(c) or Title 5 U.S.C. 8412(d). Veterans' Preference : You may also be eligible for an excepted service Veterans' Recruitment Appointment (VRA). The age restriction does not apply if you are Veterans' Preference eligible. Formal Training : After you are hired, you will be detailed to the U.S. Border Patrol Academy in Artesia, New Mexico, for approximately six (6) months of intensive instruction in immigration and nationality laws, law enforcement, and USBP-specific operations, driver training, physical techniques, firearms, and other courses. Border Patrol work requires the ability to speak and read Spanish, as well as English. Border Patrol Agents will be provided training to become proficient in the Spanish language at the Academy. How to Apply: Click the Apply button on this site. You will be linked to the CBP Talent Network registration page. For Position of Interest, select Border Patrol Agent, and then complete the pre-screening questions. You'll then receive a link(s) to the BPA Job Opening Announcements (JOAs) on USAJOBS, the federal government's official employment site, to complete your application. Be certain to review ALL details of the job opportunity announcement and follow all instructions in the application process, including items (resume, transcripts, etc.) to submit. You will be evaluated based on your resume, supporting documents, and the BPA Entrance Exam. If you have questions about the application process, contact a recruiter through the U.S. Border Patrol page: careers.cbp.gov/s/usbp. NOTE: As a subscriber to the CBP Talent Network, you'll receive monthly emails with information about webinars, career expos, and future opportunities with CBP.5c143e31-5e48-4549-b638-05792d185386

The New York City Department of Investigation (DOI) is one of the oldest law enforcement agencies in the country; its mission is to combat municipal corruption. DOI serves the people of New York City by acting as an independent and nonpartisan watchdog for New York City government, City agencies, and City employees, vendors with City contracts, individuals and entities that receive City funds. DOI's Squad 10, which includes the Offices of the Inspectors General for the Department of Transportation (DOT), Department of Environmental Protection (DEP), Department of Design and Construction (DDC), and Department of Parks and Recreation (DPR), seeks an experienced investigator to serve as an Assistant Inspector General. Squad 10 oversees a majority of the City's capital budget and important projects involving the City's construction of public facilities, delivery of clean drinking water and working sewers, water mains, and tunnels; transportation infrastructure such as roads, bridges, and ferries; and the maintenance of parks and open spaces. Squad 10 is seeking an Assistant Inspector General (AIG) who will lead and conduct criminal investigations into fraud and corruption relating to City agencies, employees and contractors. This position is within a unit that specializes in, among other things, embezzlement and fraud involving the procurement of City contracts. The AIG will be required to play a lead investigatory role on complex investigations involving significant financial analysis and document review. The AIG will also be expected to independently conduct investigations related to conflicts of interest, waste, and gross mismanagement, and to prepare detailed written work product derived from those investigations, such as reports and memoranda. The AIG will also play a limited role in overseeing other investigators. If selected, the candidate will be fingerprinted and undergo a background investigation. In addition, because the position has a law enforcement and/or investigative function, the candidate's consumer credit history will be reviewed during the background investigation, as permitted by NYC Administrative Code 8-107(24)(b)(2)(A). SPECIAL INVESTIGATOR - 31130 Minimum Qualifications 1. A four-year high school diploma or its educational equivalent approved by a State's Department of Education or a recognized accrediting organization and four years of satisfactory full-time experience in an industrial or governmental agency in the field of investigation, auditing, law enforcement, security, inspections, or in a major operational area of the agency in which the appointment is to be made; or, 2. A baccalaureate degree from an accredited college or university; or, 3. Education and/or experience equivalent to "1" or "2" above. Preferred Skills The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

The Right of Way Agent will provide local contact for interface with government, permitting, and customer interface related to franchise or property rights. Experience drafting and negotiating property rights documents including rights-of-way, easements, licenses, leases, purchase and sale agreement

Border Patrol Agent (BPA) Entry Level NEW RECRUITMENT AND RETENTION INCENTIVES! IMPORTANT NOTICE Duty assignments available at the time of offer may include the Southwest Border, including prioritized locations. U.S. Border Patrol determines duty assignments at the time of offer based on operational needs, which may or may not align with candidates' first-choice preferences. Relocation may be required. DON'T FORGET TO CHECK OUT THE INCENTIVES – SEE SALARY SECTION BELOW The U.S. Border Patrol (USBP) offers those interested in a career in law enforcement an opportunity to work with an elite team of highly trained professionals whose camaraderie, pride, and purpose are hallmarks of their daily mission of protecting America. If you seek an exciting and rewarding job that provides excellent pay, exceptional federal benefits, and job stability, now is the time to make your move. U.S. Border Patrol (USBP), within the U.S. Customs and Border Protection (CBP), is hiring immediately for these full-time, entry-level, career Law Enforcement Officer (LEO) opportunities. Salary and Benefits Annual Base Salary for newly appointed BPAs varies per grade, as follows: GL-5/GL-7 $49,739 - $89,518 per year Duty location impacts pay rates; locality pay for federal law enforcement is higher in some locations than others. A fully trained BPA may be eligible for up to an additional 25% of base pay per the BPA Pay Reform Act of 2014. This is a career ladder position with a grade level progression of GL-5, GL-7, GL-9, GS-11, and GS-12. You will be eligible for a promotion to the next higher grade level (without reapplying) once you successfully complete 52 weeks in each grade level. Border Patrol Agents are eligible to select from an array of federal employment benefits that include health, dental and other insurance plans, a generous annual and sick leave program, and participation in the Thrift Savings Plan, a retirement plan akin to a traditional ROTH 401(k) offering. Recruitment Incentive Newly appointed Border Patrol Agents (as defined in 5 CFR 575.102 ) will be offered up to a $20,000 incentive. The first $10,000 will be paid upon successful completion of the Border Patrol Academy, with the remaining $10,000 awarded for accepting a prioritized location. Prioritized locations include Sierra Blanca, TX; Presidio, TX; Sanderson, TX; Comstock, TX; Lordsburg, NM; Freer, TX; Hebbronville, TX; Ajo, AZ. Retention Incentive Newly appointed Border Patrol Agents may also qualify for up to $40,000 in additional incentives distributed over their first four years. Duties and Responsibilities As a BPA, you will be part of our 60,000+ workforce that strives to protect the American people by safeguarding our borders, deterring illicit activity, and enhancing the nation's economic prosperity. Being a BPA makes you a valuable member of the Federal Law Enforcement Officer (LEO) profession. Typical assignments include: • Detecting and questioning people suspected of violating immigration and custom laws and inspecting documents and possessions to determine citizenship or violations, • Preventing and apprehending undocumented noncitizens and smugglers of noncitizens at or near the borders by maintaining surveillance from covert positions to include using infrared scopes during night operations, • Interpreting and following tracks, marks, and other physical evidence of illegal entry of persons or contraband, • Performing farm checks, building checks, traffic checks, city patrols, and transportation checks You qualify for the GL-5 grade level if you possess one of the following: Experience One (1) year of general work experience that demonstrates the ability to take charge, make sound decisions, and maintain composure in stressful situations; to learn regulations, methods, and techniques through classroom training and/or on-the-job instruction; and the ability to gather concise information through questioning, observation, and examination of documents and records; OR Education Substitution A bachelor's degree or successful completion of a full four-year course of study in any field leading to a bachelor's degree from an accredited college or university; OR Combination of Experience and Education A combination of general work experience AND successfully completed college education. This will be calculated using your resume and official or unofficial transcripts submitted with your application. You qualify for the GL-7 grade level if you possess one of the following: Experience One year of specialized work experience that shows you have the skills necessary to: • Make sound judgments and decisions in the use of firearms., • Deal effectively with people in a courteous and tactful manner in connection with law enforcement matters. Education Substitution for the GL-7 grade level A bachelor's degree with superior academic achievement, which is based on (1) class standing, (2) grade-point average (i.e., GPA of 3.0 or higher out of a possible 4.0), or (3) honor society membership. Or will receive a bachelor's degree with Superior Academic Achievement. Or one full year of graduate-level education in a field of study related to law enforcement (e.g., criminal justice, homeland security, justice studies, law enforcement, courts and judicial systems, forensic technology, forensic psychology, or corrections and rehabilitation) from an accredited college or university; OR A Combination of Experience and Education This will be calculated using your resume and official or unofficial transcripts submitted with your application. Note If you have previous or current law enforcement or military law enforcement experience, you may qualify at the GL-9 and or GS-11 grade level. Please refer to the BPA GL-9 - 11 announcement. Other Requirements Citizenship You must be a U.S. Citizen to apply for this position. Residency You must have had primary U.S. residency (includes protectorates as declared under international law) for at least three of the last five years. Age Restrictio n: In accordance with Public Law 100-238, this position is covered under law enforcement retirement provisions. Candidates must be referred for selection to the Border Patrol Agent position before reaching their 40th birthday in accordance with Department of Homeland Security Directive 251-03. The age restriction may not apply if you are currently serving or have previously served in a federal civilian law enforcement (non-military) position covered by Title 5 U.S.C. 8336(c) or Title 5 U.S.C. 8412(d). Veterans' Preference You may also be eligible for an excepted service Veterans Recruitment Appointment (VRA). The age restriction does not apply if you are Veterans' Preference eligible. Formal Training After you are hired, you will be detailed to the U.S. Border Patrol Academy in Artesia, New Mexico, for approximately six (6) months of intensive instruction in immigration and nationality laws, law enforcement and USBP-specific operations, driver training, physical techniques, firearms, and other courses. Border Patrol work requires the ability to speak and read Spanish, as well as English. Border Patrol Agents will be provided training to become proficient with the Spanish language at the Academy. How to Apply: Click the Apply button on this site. You will be linked to the CBP Talent Network registration page. For Position of Interest, select Border Patrol Agent, then complete the pre-screening questions. You'll then receive a link(s) to the BPA Job Opening Announcements (JOAs) on USAJOBS, the federal government's official employment site, to complete your application. Be certain to review ALL details of the job opportunity announcement and follow all instructions in the application process, including items (resume, transcripts, etc.) to submit. You will be evaluated based on your resume, supporting documents, and the BPA Entrance Exam. If you have questions about the application process, contact a recruiter through the U.S. Border Patrol page: careers.cbp.gov/s/usbp. As a subscriber to the CBP Talent Network, you'll receive monthly emails with information about webinars, career expos, and future opportunities with CBP.

The Right of Way Agent will provide local contact for interface with government, permitting, and customer interface related to franchise or property rights. The Right of Way Agent will be responsible for acquisition and enforcement of real property rights required for the operation, maintenance, and

Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. HumanSignal is looking for a high-performing Sales Development Representative to help us reach the world's most innovative AI companies. You'll be opening doors with frontier labs, tech giants, and cutting-edge robotics companies who are building the future of AI—and who need the purpose-built training data that only we can provide. This isn't typical SDR work. You'll be prospecting into organizations like Anthropic, OpenAI, Google DeepMind, Meta, Tesla, Nvidia, and others at the absolute forefront of AI research and development. Your outreach will reach ML researchers, AI engineering leaders, and executives building breakthrough applications. The technical sophistication and strategic importance of these accounts make this one of the most exciting SDR roles in enterprise tech. You'll be the first point of contact for companies that will define the next decade of technology. Your ability to craft compelling messaging, understand technical concepts, and engage senior executives will directly impact HumanSignal's growth trajectory. You Will: • Generate qualified pipeline: Identify and create new business opportunities by prospecting into frontier AI labs, major tech companies, and innovative robotics firms, • Master personalized outreach: Write highly tailored cold email and LinkedIn messages that resonate with ML engineers, AI researchers, and technical executives, • Book strategic meetings: Conduct high-level qualification conversations with senior leaders and connect them with our Account Executive team, • Understand the landscape: Develop deep knowledge of AI companies, their data needs, and how our Data Creation Laboratories and Label Studio platform solve critical challenges, • Communicate value: Articulate why purpose-built, human-created datasets are essential for the next generation of AI applications, • Collaborate cross-functionally: Work closely with sales, marketing, and product teams to refine messaging and targeting strategies, • Bachelor's degree or equivalent work experience, • 1-2+ years of SDR, BDR, or sales experience in a fast-paced enterprise software, SaaS, or technical environment, • Demonstrated track record of top performance and consistently exceeding quota, • Exceptional written and verbal communication skills with ability to tailor messaging to technical audiences, • Research skills and intellectual curiosity to understand complex technical concepts quickly, • Ability to multitask, prioritize effectively, and thrive in a high-energy environment, • Experience prospecting into large, complex technical organizations, • Process-oriented mindset with strong organizational skills, • Genuine interest in AI, machine learning, and emerging technologies, • Familiarity with how AI models are trained and the role of training data, • Experience using sales tools like Salesforce, Outreach, LinkedIn Sales Navigator, and ZoomInfo, • Self-motivated and competitive spirit with excitement for sales metrics and friendly competition, • Collaborative team player who welcomes feedback and coaching You're not booking meetings for boring enterprise software—you're connecting with the people building AGI, autonomous robots, and AI systems that will reshape society. Every conversation you have is with someone at the cutting edge. You'll learn about AI from the inside, build relationships with industry leaders, and develop skills that will accelerate your career in the most important technology sector of our generation. About HumanSignal At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require. We believe the next frontiers in AI won't be unlocked by scraping what's left on the web—they'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability. We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future. 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. At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $60,000 to $110,000 USD plus commission. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

Job Description Responsibilities: • Learn and integrate a trauma-informed, client-centered approach, using an anti-oppressive lens, into your work with clients., • Provide trauma informed, client centered intensive case management through support, advocacy, and linkages with community service providers as well as local, state and federal law enforcement to a caseload of approximately 25-40 foreign national and domestic (U.S. citizen) clients., • Provide short-term and long-term trauma focused supportive counseling to survivors of human trafficking., • Timely and accurately enter all client services-related data into both internal CMS and external funder databases for semi-annual grant reporting., • Collaborate and coordinate services and referrals with internal program attorneys, external partners (law enforcement, public benefits offices, shelter system, and others) to provide a continuum of care for clients., • Advocate for clients’ rights to protect the best interests of the client, including in both the civil and criminal justice systems., • Engage in service coordination and collaboration with clients and community partners to ensure effective protective actions and strategies are taken on behalf of clients., • Conduct outreach and training presentations to identified communities and providers, informing them about human trafficking, the impact of trafficking-related trauma on victims and the services that the Anti-Trafficking Program provides, in collaboration with the Training and Outreach Manager., • Counseling experience, especially from a trauma informed and client centered framework., • MSW degree and at least one year of experience working with trafficking survivors or similar populations., • Prior direct service experience with one or more of the following populations/issues: trafficked persons, immigrants, survivors of domestic violence and/or sexual assault, refugees, and/or torture survivors., • Adept at managing relationships with various levels of the government and law enforcement., • Comfort consistently reflecting on client work, discussing challenges in supervision, and integrating supervisor guidance., • Excellent and effective writing skills, organization and communication skills required as well as computer skills., • Ability to work cohesively and collaboratively in a multi-disciplinary team comprised of legal staff, social workers, community trainers, survivor advocates leaders, policy advocates and administrative staff. If hired, I agree to abide by all of Safe Horizon’s rules and regulations, and understand that, if employed, my employment may be terminated with or without cause, and with or without notice, at any time, at the option of either the company or me. I further understand that no representation, whether oral or written by any representative or agent of the organization, at any time, constitutes a contract of employment. AmeriCorps, Peace Corps and other national service alumni are encouraged to apply. Technology Statement: Applicants may be responsible for providing the equipment and tools they need to work remotely as required, such as access to a computer, internet service, and phone service. Safe Horizon will discuss potential solutions with candidates and may assist where needed and agreed to in advance. Please follow this link to view complete EEO Law and complaint filing information: Know Your Rights: Workplace discrimination is illegal. Hiring Range: $54,000.00 - $57,000.00 Annual Full-time Hours: 35 Hours per week Full-time Benefits: Vacation Time, Paid Sick Time, Holidays, Medical, Dental, Vision, 403(b) Retirement Plan, Company Life Insurance, Medical/Dependent Care Flexible Spending Accounts, Tuition Assistance Program, Commuter Benefits Program, Gym Reimbursement, Parental Leave, Employee Learning Center

Job Description Job Title: AI/ML Engineer Job Type: Full-Time Job Summary: Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing toproprietary AI infrastructure, youll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. Youll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. Key Responsibilities: • Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications., • Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain., • Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock., • Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference., • Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions., • Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD)., • Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration., • Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments., • Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain., • Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock)., • Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes., • Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines)., • Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise., • Knowledge of metadata catalog platforms (MCP) and advanced API development techniques., • Prior exposure to government or highly regulated cloud environments and compliance standards.

Job DescriptionSchmidt Sciences is a nonprofit organization founded in 2024 by Eric and Wendy Schmidt that works to accelerate scientific knowledge and breakthroughs with the most promising, advanced tools to support a thriving planet. The organization prioritizes research in areas poised for impact including AI and advanced computing, astrophysics, biosciences, climate, and space—as well as supporting researchers in a variety of disciplines through its science systems program. About the AI & Advanced Computing Institute (“AI Institute”) The AI Institute at Schmidt Sciences is a grantmaking and research group that views AI as a transformative force for scientific discovery and societal progress. Over the next decade, we aim to support key researchers who are working to make AI systems competent, trustworthy, reliable, and able to effectively partner with human scientists on the next generation of discovery. We will also make selected distinctive investments in beneficial AI areas where philanthropy has a unique advantage. By supporting enabling infrastructure, foundational research, and targeted programs in science disciplines, the AI and Advanced Computing Institute will create the conditions for AI-enabled discovery to achieve its promise. The AI Institute currently has three focus areas: AI for Science – using AI to improve how scientists generate hypotheses, conduct experiments, analyze data, and produce new knowledge – and do this in a way that specifically accelerates the discovery process. Exploratory programs include post-transistor hardware for AI and AI for scientific simulation. Science of AI – understanding and controlling AI systems to mitigate and manage potential risks from advanced AI. Improve AI reliability and performance in areas of limited commercial interest. Existing programs include AI2050 and Science of Trustworthy AI. Exploratory programs include AI interpretability and evolution of multi-agent communication. Beneficial AI – providing scientific foundations and datasets for understanding the larger human impacts of AI. This includes selected high-impact grantmaking, such as our programs to use AI to accelerate humanities research (Humanities and AI Virtual Institute), and to quantify the impact of AI on the labor market (AI@Work). The Role Reporting to the Director of the AI Institute at Schmidt Sciences, the Senior Program Scientist will provide technical leadership and people management across the AI Institute, as well as contribute to the overall strategy of Schmidt Sciences. This is not a traditional research or industry role; rather, impact in this role is achieved by enabling high-quality academic and industry progress through funding, development of scientific instruments and other supports, convening, ecosystem building, and thought leadership. Success for this role is the ability to position the AI Institute as the premier funder of AI scientific research globally, with a reputation for selecting the hardest technical challenges and using philanthropy to significantly advance solutions to them. In short, the ambition here is to influence the next decade of scientific discovery. Key Responsibilities for this role include the following:Strategic Leadership • Support the Institute lead in the design, evolution, and execution of the AI Institute’s current and future strategic, scientific, and technical direction., • Co-design multi-year research agendas., • Identify areas of AI where early philanthropy entry can provide significant advancement., • Contribute to the overall scientific priorities in the AI and advanced computing portfolio and set future directions for engagementTechnical Evaluation and Program Development, • Provide technical advice to the existing programs and major awards of the AI Institute., • As needed, work with team members to develop new programs. Note: current program explorations include AI interpretability, evolution of communication of multi-agent systems, post-transistor AI hardware, and AI-enabled simulation of scientific processes., • Support existing AI Institute programs by providing networking assistance, scientific expertise, and mentorship, as necessary, and by working closely and collaboratively with the teams responsible for delivery. Contribute to the team’s assessment of expressions of interest and research proposals. Team Management, • Manage 3-5 program scientists and visiting scientists to help them continue to grow their scientific discernment and grantmaking skills., • Contribute to the improvement of the AI team’s operations, including our grantmaking, budgeting, events & convening, and other processes.External Engagement and Ecosystem Building, • Act as a conduit for bringing in innovative ideas and perspectives from the AI community, actively engaging with stakeholders to identify emerging trends and opportunities for collaboration.Schmidt Sciences Support, • Serve as an expert advisor at Schmidt Sciences on topics in AI and advanced computing, with a focus on AI and humanities., • Work with other members of the Schmidt Sciences team to drive organizational priorities and model our values., • Identify potential partners for Schmidt Sciences, including universities, labs, other research facilities, and philanthropic and government organizations., • Participate in relevant industry or academic conferences and events, representing Schmidt Sciences’ presence on AI and advanced computing issues.Required Knowledge, Skills, and Abilities, • Advanced degree (e.g., PhD), from an accredited institution, with a focus on artificial intelligence, • 10+ years of academic and industry experience in artificial intelligence, • Deep understanding of modern machine learning, including deep learning, probabilistic modeling, generative models, reinforcement learning, and large-scale representation learning, • Experience leading teams and managing technical staff, • Hands-on experience designing, training, and evaluating state-of-the-art models (e.g., foundation models, multimodal systems, agentic AI, simulation-based models), • Demonstrated track record of scientific accomplishments, evidenced by peer-reviewed publications, patents, successful grant applications, or contributions to innovative industry projects, • Ability to critically evaluate scientific, technical, and other AI-related claims in grant proposals and other technical opportunities and emerging methods, • Deep relationships in the AI community and experience working with AI-focused institutions, • Experience producing technical writing for expert and general audiences, • Demonstrated ability to collaborate and a record of impact in high-intensity, team-based environments, • Sense of urgency in driving work to completion, • The highest integrity and ability to maintain confidentiality, • Be able to travel within the U.S. and internationally on a regular basis as neededPreferred Knowledge, Skills, and Abilities, • Hands-on AI Experience: Experience building prototypes, benchmarks, or proof-of-concept systems to test scientific hypotheses or assess research investments. Strong fluency in ML engineering tools and best practices (Python, PyTorch/JAX/TF, data pipelines, MLOps, evaluation frameworks). Experience evaluating the scalability, data requirements, compute needs, and infrastructure implications of ambitious AI projects., • Expertise in Specific Focus Areas for the AI Institute, Including: AI model evaluation and red-teaming for scientific reliability, Mechanistic interpretability or auditing methods, Multi-agent systems and emergent behavior, AI-accelerated simulation frameworks, • AI x Science: Familiarity with how AI is used across scientific disciplines (biology, chemistry, physics, climate science, neuroscience, etc.). Expertise in at least one scientific domain where AI is meaningfully accelerating research (e.g., protein structure prediction, generative chemistry, computational biology, materials discovery, climate modeling). Ability to work and translate technical concepts across multiple scientific disciplines

Job Description Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Staff AI Engineer in our New York City office. About the Role: The role is for the Identity team at Applecart. The team builds and maintains best in class identity data products, tying multiple systems and data sources together. As a Staff AI Engineer, you will be responsible for leading the design and deployment of our next-generation AI-powered platforms. You will shape the technical destiny of our organization, moving beyond individual features to architect the agentic ecosystems that will handle our next phase of growth. This role will report to the Director of Engineering. What You'll Do: • Lead the design of end-to-end AI solutions using foundation models, multi-agent orchestration (MAS), and RAG pipelines. Ensure that today's technology choices support long-term scalability., • Identify systemic risks and infrastructure bottlenecks before they impact production and ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management., • Mentor other engineers. Provide design feedback that teaches thinking, recommends scalable abstractions, and builds a culture of technical excellence., • Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure., • Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems., • You have 8+ years of professional software development experience, especially in the fields of data engineering and AI/ML, • Deep expertise in applied AI/ML techniques (Deep Learning, NLP, GNNs), technologies (Agentic AI, RAG, Prompt/Context Engineering), and fluency in Python or a similar backend language, • You have designed and implemented scalable data processing pipelines, and understand how to store and retrieve large sets of data, • You have experience implementing various data warehousing architectures, including products like Snowflake or Databricks, • You have proven records of leading AI/ML projects, ideally RAG applications, • Proven experience with agentic frameworks (LangGraph, CrewAI, AutoGen) and modern data infrastructure (Kafka, Spark, Vector Search)., • Hands-on experiences with graph data models and graph data processing (with graph data engines such as Neo4 or PuppyGraph) is a big plus., • You have hands-on experience in implementing the Lakehouse architecture., • You are familiar with identity resolution and have experience building identity resolution systems., • You have experience with backend API designing and implementation, • You have experience optimizing the end to end performance of distributed systems Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $200,000 - 250,000 based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job DescriptionPOSITION DESCRIPTION POSTION: RECEIVING AGENT FLSA DESIGNATION: NON-EXEMPT PAY RATE: $19.00 PER HOUR POSITION REPORTS TO: DIRECTOR OF PURCHASING POSITION PURPOSE: The receiving agent will receive & reconcile against POs/Invoices/Pick Lists for all incoming orders to the property. ESSENTIAL FUNCTIONS AND BASIC DUTIES: • Verify, count and sign packing slips, match with invoices and codes for accounting., • Communicate shorts and overages on invoices., • Responsible for organization and sanitation of receiving areas and storage rooms., • Label and store items accordingly to maintain a neat and organized storage space., • Maintain storage spaces for equipment, hotel essentials and supplies., • Receive and organize all equipment and deliveries, making sure all items are stored correctly., • Communicate all discrepancies to the managers., • Store & rotate all deliveries to the hotel., • Completing task assigned by the manager in a timely fashion.OTHER:, • Regular attendance in conformance with the standards, which may be established from time to time, is essential to the successful performance of this position. Employees with irregular attendance will be subject to disciplinary action, up to and including termination of employment., • Due to the cyclical nature of the industry, Employees may be required to work varying schedules to reflect the business needs of the property. In addition, attendance at all scheduled training sessions and meetings is required., • Respond quickly and properly in any Facility emergency situation., • Maintain an alert and attentive demeanor at all times in addition to remaining calm during periods of heavy business volumes., • Maintain cleanliness in all areas of the Facility., • Bilingual - Ability to communicate effectively in Spanish and English is a must., • Extensive knowledge in food & beverage and quality assurance is required., • Knowledge of proper handling of fresh products, dries, and beverages is required., • Previous proven work experience in a similar role., • Able to speak, read, write, and understand the primary language(s) used in the workplace., • Able to learn and perform all essential job functions accurately and safely., • Auditory and visual abilities to observe and detect signs of emergency situations., • Ability to work a flexible schedule including but not limited to weekends, nights, or holidays.PHYSICAL ACTIVITIES AND REQUIREMENTS OF THIS POSITION:, • Most work tasks are performed indoors. Temperature is moderated and controlled by facility. As well as there could be some outdoor transporting that will need to be conducted on a per case basis., • environmental systems., • Able to stand and exert well-paced mobility for an extended period of time., • Able to carry & lift up to 75lbs. on a regular and continuing basis., • Able to bend, stoop, kneel, reach, push, pull, twist, walk, crouch, squat and stretch to fulfill tasks., • Manual dexterity required to use and operate all necessary equipment. bDo5Oynbo3

Job Description Essential Job Functions: • Works independently to litigate family and matrimonial cases throughout New York City from intake to trial;, • Conducts in depth interviews with victims of domestic violence, compiles history and investigates to corroborate allegations., • Drafts all legal documents and makes all court appearances with victims of domestic violence., • Prepares witnesses and client for court appearances., • Responsible for assisting clients with a holistic range of services, including advocacy on non-legal issues., • Exercises complete decision-making authority over each client’s case., • Provides legal information, advocacy and referrals to individual who reach out to the DVLP helpline., • Maintains clients’ case files and all internal data logs. Responsible for their own clerical case-related work., • Maintains monthly statistical reports documenting case representation, provision of legal advocacy and referrals., • Provides statistical and narrative data to five to ten funders., • Conducts presentations and trainings to community-based organizations and other service providers to promote the mission of the agency., • Attends meetings to discuss policy issues affecting client population., • Develops and maintains relationships with individuals, organizations and government agencies within the domestic violence and legal community in New York City., • Participates in the Lawyer’s Committee against Domestic Violence and other advocacy/policy groups., • Serves as an internal resource to Safe Horizon staff, answering questions and making educational presentations., • Contributes to the employment, supervision and oversight of support staff, volunteers and student interns. Interacts with: • Clients, • Safe Horizon court programs staff, • External decision makers, • Funders, • Judges, • Court Staff, • Private Attorneys, • Attorneys from other not for profit organizations, with related missions, • Private and not for profit community-based service providers, • District Attorney’s office, • Family Justice Centers, • Mayor’s office, • Representatives from law schools, • Prior litigation experience in family or matrimonial proceedings preferred., • Must possess strong oral and written communications skills, including the ability to convey legal concepts to lay people., • The ability to write routine reports, court documents, case notes, pleadings and correspondence in a clear, concise and effective manner is essential., • Must be creative and have critical thinking skills., • Must be a persuasive and effective public speaker., • Prior experience organizing and executing group trainings and information exchanges is preferred., • Must possess demonstrated appropriate communications skills with client populations, colleagues and court staff., • Problem-solving, prioritizing, time management, team-building and organizational skills are also essential., • Must be familiar with legal services, resources and procedures available in New York City., • Must possess a knowledge and understanding of economic issues facing domestic violence victims, including but not limited to housing, public benefits and child support., • Strong networking skills and the ability to develop and maintain relationships with various individuals, organizations and government agencies is essential., • Must have a Doctor of Jurisprudence degree from an accredited law school, have already passed the New York State Bar and are either awaiting admission or are already admitted to the New York State Bar and have zero to two years of related experience., • Must have prior experience in and/or thorough knowledge of family law, crisis intervention, criminal justice system, working with victims of domestic violence, sexual assault, stalking, family violence, poverty law, feminist law and/ social justice work., • Bilingual oral and written skills strongly preferred. If hired, I agree to abide by all of Safe Horizon’s rules and regulations, and understand that, if employed, my employment may be terminated with or without cause, and with or without notice, at any time, at the option of either the company or me. I further understand that no representation, whether oral or written by any representative or agent of the organization, at any time, constitutes a contract of employment. AmeriCorps, Peace Corps and other national service alumni are encouraged to apply. Technology Statement: Applicants may be responsible for providing the equipment and tools they need to work remotely as required, such as access to a computer, internet service, and phone service. Safe Horizon will discuss potential solutions with candidates and may assist where needed and agreed to in advance. Please follow this link to view complete EEO Law and complaint filing information: Know Your Rights: Workplace discrimination is illegal. Hiring Range: $64,000.00 - $67,500.00 Annually Full-time Hours: 35 Hours per week Full-time Benefits: Vacation Time, Paid Sick Time, Holidays, Medical, Dental, Vision, 403(b) Retirement Plan, Company Life Insurance, Medical/Dependent Care Flexible Spending Accounts, Tuition Assistance Program, Commuter Benefits Program, Gym Reimbursement, Parental Leave, Employee Learning Center

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do:Description of the Team The Cloud Experience organization at CoreWeave owns the customer- and admin-facing surfaces of our AI cloud platform, including cloud and admin consoles, REST/gRPC APIs, Infrastructure-as-Code interfaces, CLIs, SDKs, and agent-centric workflows. The team is responsible for delivering a unified, secure, and scalable developer experience across products and services, with a strong focus on how users understand, operate, and govern their workloads through our interfaces. Within Cloud Experience, the Cloud & Admin Consoles team builds the primary graphical interfaces used daily by CoreWeave customers and internal operators. From onboarding and resource management to org-wide governance and observability, this team defines the information architecture, navigation, and interaction patterns that shape how users experience CoreWeave Cloud. About the Role As an Engineering Manager (M1), Cloud Experience – Cloud & Admin Consoles, you will lead a team of frontend and full-stack engineers responsible for CoreWeave's core web and admin console experiences. You will own key areas of the console—including navigation, layout, resource views, workflows, and shared UI components—while partnering closely with Product, Design, and Engineering to deliver intuitive, reliable, and deeply integrated user experiences. This role balances people leadership, technical ownership, and product execution to ensure our consoles scale with the platform and meet the needs of both customers and internal operators. In this role, you will: * Lead a team delivering high-quality cloud and admin console features used by customers and internal teams. * Own console information architecture, navigation, and layout to ensure users can easily discover, understand, and manage resources. * Define and evolve reusable UI components and patterns (forms, tables, wizards, notifications, resource detail views) to ensure consistency across the console. * Partner with Product and Design to translate user journeys into clear, opinionated workflows for provisioning, configuration, governance, and operations. * Collaborate with API, IAM, and platform teams to design integrations that make the console a first-class client of underlying services. * Ensure console experiences are fast, accessible, and resilient through performance optimization, accessibility best practices, and robust error handling. * Establish and monitor SLIs/SLOs and UX metrics (e.g., page load times, error rates, navigation success) to drive continuous improvement. * Maintain and extend the console design system, including component libraries, theming, and documentation. * Drive roadmap execution by prioritizing work, managing dependencies, and balancing new features, UX improvements, and technical debt. * Hire, onboard, mentor, and develop engineers with clear expectations, feedback, and career growth paths. * Participate in on-call and incident response to ensure critical console workflows remain usable during high-severity events. Who You Are: * 6+ years of professional software engineering experience, including 1–3 years as an engineering manager or technical lead with people-lead responsibilities. * Proven experience leading teams that build and ship modern web frontends at scale using React, TypeScript, and component-based design systems. * Experience translating user journeys into well-structured workflows and information architectures in partnership with Product and Design. * Strong understanding of backend-for-frontend patterns and consuming GraphQL APIs, including data modeling for multi-tenant environments. * Experience building or supporting SaaS or cloud platforms, including concepts such as multi-tenancy, org/project hierarchies, and roles/permissions. * Familiarity with accessibility (a11y), internationalization, and responsive design best practices. * Experience owning end-to-end delivery for production services, including planning, execution, quality, and operational health. * Strong written and verbal communication skills, with the ability to align cross-functional stakeholders around priorities and tradeoffs. Preferred: * Experience building consoles or dashboards for cloud platforms, developer tools, observability/APM products, or infrastructure SaaS environments. * Familiarity with design systems and tools such as Figma, and experience evolving shared component libraries with designers. * Exposure to infrastructure concepts such as containers, Kubernetes, networking, storage, and GPU workloads. * Experience implementing role-aware and permissioned UI views using IAM models such as RBAC, ABAC, or policy-based access. * Prior experience leading frontend modernization efforts (e.g., React/TypeScript migrations, state management improvements, design system adoption). Wondering if you're a good fit? We believe in investing in our people and value candidates who bring diverse experiences—even if you don't meet every requirement. You might be a great fit if: * You care deeply about end-to-end console user journeys, from first login to complex operational workflows. * You have strong opinions (lightly held) about great console UX, including clear information architecture and thoughtful defaults. * You enjoy coaching engineers on frontend craft, UX quality, and maintainable systems. * You're energized by creating consistency and coherence across a fast-moving platform. * You're comfortable operating amid ambiguity while balancing short-term delivery with long-term architectural and usability investments. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast. We're in an exciting stage of hyper-growth and are constantly learning as we scale. Our team cares deeply about how we build our product and how we work together, guided by our core values: * Be Curious at Your Core * Act Like an Owner * Empower Employees * Deliver Best-in-Class Client Experiences * Achieve More Together We foster an environment that encourages collaboration, independent thinking, and innovative solutions to complex problems. As CoreWeave continues to grow, opportunities for impact and career development expand alongside it. You'll work with some of the best talent in the industry—and they'll want to learn from you, too. Come join us. The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description A prestigious business management firm seeks a Tax Manger to join their dynamic group of tax professionals. This selected candidate is influential in the process of preparing and reviewing tax returns and assisting clients with various tax matters. The Tax Manager gathers and reviews client tax documents to prepare necessary individual, partnership, estate, corporate, and/or trust tax returns. The ideal candidate has a solid understanding of common tax rules, tax compliance, and tax regulations. This person is also knowledgeable in tax accounting principles. You are a confident and professional communicator, with exceptional time management and organizational skills. The selected candidate will be expected to perform the following duties: Responsibilities • Review business and individual income tax returns., • Review tax projections and quarterly estimates using BNA ., • Review client meeting packages., • Review commission reconciliations., • Review client loan application and forensic materials., • Ensure all tax planning related payments are made on time., • Review and correct financial statements., • Correspond with government agencies relating to client tax notifications received., • Identify and research tax issues applicable to client transactions., • Work closely with Account Executives and Assistant Account Executives to ensure complete and accurate books., • Communicate with Partners and Business Mangers on client related matters., • Supervise, mentor and manage accounting/tax staff, be onsite to answer questions, train and review performance., • Oversee completion of workflow., • Attend Continuing Professional Education (CPE) and in-house tax workshops., • Work extended hours as needed., • Other related duties as assigned. Qualifications: • Oral and Written Communication Skills, • Fluent Command of English, • Professionalism, • Time Management, • Organizational Skills, • Math Aptitude, • Understanding of Generally Accepted Accounting Principles, • Financial Statement Analysis, • Entity Income Taxation, • Individual Income Taxation, • Tax Research, • CCH Axcess, • BNA Tax Projection, • Problem Solving Skills, • Proficiency in Microsoft Office Suite, • Proficiency in Windows, • Bachelor's Degree, Accounting (3.0 GPA or better), • Certified Public Accountant or Enrolled Agent, • 5+ years related experience Benefits • Medical, Dental and Vision coverage, • Flexible Spending Account, • Basic Life and AD&D, • Voluntary Life and AD&D, • Long Term Disability, • Voluntary Critical Illness and Cancer, Hospital Indemnity and Accident Coverage, • Genetic Screening and Cancer Support, • Pet Insurance, • Accrue 15 PTO days annually, • 401k, Match and Profit Sharing Plan Many of our job openings can be viewed at

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at Requirement: Hybrid in-office at our Sunnyvale, CA OR Bellevue locationsWhat You'll Do: • Develop agents using AI capabilities into applications using frameworks such as LangChain, LangGraph, ChatGPT API, and Glean API, • Design and build first-party web and mobile applications using React (TypeScript) and modern front-end frameworks, • Develop scalable backend services in Node.js and Go for data processing, orchestration, and automation, • Build internal AI agents and copilots that assist with tasks in Finance, Billing, and Supply Chain domains, integrating with systems like ERP, HRIS, MRP, DCIM, Data Warehouse among others - either natively or via an iPaaS like Workato or Boomi, • Implement APIs and microservices that enable modular and event-driven application architectures, • Leverage GenAI tools (Cursor, Claude, Copilot, ChatGPT Codex) to accelerate development, testing, and documentation, • Ensure robust observability, maintainability, and security across the application stack, • Programming Experience: 3+ years of professional programming experience in languages such as TypeScript, Python, Go, C++, C#, or Java, specifically for delivering production-grade cloud services., • Full-Stack Proficiency: Proven expertise in modern backend (e.g., FastAPI, gRPC) and frontend technologies (e.g., React, Next), including the development of scalable backend services in Node.js and Go., • AI/LLM Experience: Solid familiarity with Generative AI frameworks (LangChain, LangGraph, ChatGPT API, or Glean API) and experience shipping production-grade AI/ML/LLM-based applications, or strong desire to build them., • Architecture: Solid experience designing and implementing RESTful APIs, microservices, and event-driven integration architectures., • Cloud & DevOps: Strong understanding of cloud environments (AWS, Azure, or GCP), container orchestration (e.g., Kubernetes), and proficiency with DevOps and CI/CD principles., • Automation Tooling: 3+ years of experience in scripting (Python or Bash) for automation and tooling.Preferred:, • Experience developing AI-powered or agentic applications integrated with complex enterprise data (ERP, HRIS, DCIM, Data Warehouse)., • Proficiency with machine learning and data engineering platform tools (e.g., Ray, Kafka, Spark)., • Experience with iPaaS platforms (Workato, Boomi) for building internal AI agents and copilots., • You love to leverage cutting-edge GenAI tools (like Cursor, Claude, or Copilot) to accelerate your own development, testing, and documentation processes., • You're curious about designing solutions with user experience (UX) and long-term system maintainability as a top priority., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Summary: The Deputy Chief Program Officer (DCPO) works closely with the Chief Program Officer and Safe Horizon senior leadership to ensure successful program operations and high-quality client services. The DCPO plays a lead role in ensuring achievement of strategic priorities through new program development and special projects. The DCPO ensures that programs are implementing standardized client-centered safety assessment and risk management practices, consistent clinical practices and assessments, while at the same time successfully achieving contracted deliverables. Responsibilities: • Work closely with the Chief Program Officer, Research and Evaluation department and Program Leaders to implement quality assurance efforts that prioritize high quality, client-centered and anti-oppressive services., • Work with the Senior Director of Learning and Staff Development and Program Leaders to ensure that training and staff development meets the needs of staff and is furthering our organizational commitment to client-centered practice, anti-oppression, listening to and learning from survivors, quality and excellence., • Works closely with the Chief Program officer to ensure consistent case practice across all Programs including case management, advocacy and clinical services., • Provides expert knowledge in a range of areas of victimization, with a heavy emphasis clinical practice and supports for people who have experienced violence, abuse and exploitation., • Manage and vet grants associated with program development or program enhancements. This includes oversight and management of Program Admin responses to governmental RFPs, audits and programmatic contracting responsibilities., • Develops and incubates new programmatic ideas and initiatives for the organization., • In the absence of the Chief Program Officer, represents the Chief Program Officer and provides support and guidance to program leadership., • Maintains effective working relationships with a wide range of internal and external stakeholders, as well as other government, private and non-profit partners., • Eight years of relevant leadership experience in program design, development, and implementation required, providing supervision within a geographically dispersed social service organization providing direct services, • Bachelor’s degree in social work or related field. LCSW, preferred., • Knowledge of issues related to victimization, crime, and abuse or social service, • Commitment to anti-racism and anti-oppression work including self-reflection, changing systems, organizational structures, policies and practices and attitudes, and supporting staff through change and discomfort., • Demonstrated managerial experience, discretion and negotiation skills, direction and leadership, mentoring staff, evaluating performance, and providing performance feedback, • Excellent interpersonal, platform and presentation skills to communicate with internal or external audiences;, • Solid time and project management skills, • Ability to manage multiple complex issues at the same time and exercise sound judgment., • Computer literacy and analytical skills required; proficiency in Microsoft Office software, • Must possess an understanding of data as a management tool and helping others to understand data. AmeriCorps, Peace Corps and other national service alumni are encouraged to apply. Technology Statement: Applicants may be responsible for providing the equipment and tools they need to work remotely as required, such as access to a computer, internet service, and phone service. Safe Horizon will discuss potential solutions with candidates and may assist where needed and agreed to in advance. Please follow this link to view complete EEO Law and complaint filing information: Know Your Rights: Workplace discrimination is illegal. Hiring Range: $120,000 to $150,000 Annually Full-time Hours: 35 Hours per week Full-time Benefits: Vacation Time, Paid Sick Time, Holidays, Medical, Dental, Vision, 403(b) Retirement Plan, Company Life Insurance, Medical/Dependent Care Flexible Spending Accounts, Tuition Assistance Program, Commuter Benefits Program, Gym Reimbursement, Parental Leave, Employee Learning Center Safe Horizon was named one of City & State New York Top Workplaces of 2025 and recognized for Great Employee Benefits!

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at Summary CoreWeave is seeking a Sr. Data Scientist to architect and scale the data infrastructure that serves as the backbone of our Integrated Planning and Capacity teams. As an AI hyperscaler, our ability to manage GPU, CPU, and storage assets in real-time is the difference between leading the market and falling behind. Currently, our systems are in a nascent, "bare minimum" stage. You will be responsible for leading the transition to a centralized, production-grade database system. This is a heavy software engineering-focused role where you will build the pipelines and transformations necessary to unify disparate metrics—ranging from power utilization and node health to customer capacity allocation data—into a single, accurate source of truth. Your work will directly enable the dashboards used by operational planners and executives, and provide the high-fidelity data required to develop autonomous, data-based agents for quantitative decision-making. Key Responsibilities • Architect Scalable Pipelines: Design, build, and maintain robust end-to-end data pipelines and transformations that aggregate data from across the organization, including data center operations, power metrics, node provisioning, and finance., • Enable Advanced Analytics: Build and optimize the data structures that power real-time and near-real-time dashboards for operational capacity and demand managers., • Support AI Agent Development: Ensure that data pipelines are architected to support the ongoing development of quantitative AI agents designed to synthesize complex data and inform high-stakes infrastructure decisions., • Cross-Functional Synthesis: Partner with Data Center Operations, Supply Chain, Product, and Finance to ensure technical pipelines accurately reflect the physical realities of data center bring-up and node health., • Education: Master's or PhD in Computer Science, Computer Engineering, Operations Research, or a related quantitative field., • Experience: 6+ years of professional experience in data engineering or data science, with a heavy emphasis on building production-grade planning systems (ERP, MRP, or similar operations tools)., • Software Engineering Expertise: Expert-level proficiency in Python and SQL is mandatory. Experience with modern data stack tools (e.g., dbt, Airflow, Snowflake/BigQuery) and software development best practices (version control, CI/CD)., • Systems Thinking: Proven track record of taking "weak" or unstructured data environments and scaling them into robust, automated architectures., • Domain Knowledge: Familiarity with AI infrastructure, specifically GPU/CPU utilization metrics and data center operational constraints., • Background: Prior experience in high-complexity environments such as cloud infrastructure, semiconductor manufacturing, or advanced logistics. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.