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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 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. Our Approach As part of the interview process, you'll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale's AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale. • Design and implement features end-to-end across front-end, back-end, and infrastructure, • Build features end-to-end using technologies like TypeScript, MongoDB, and Elasticsearch, and contribute to our compute orchestration layer powered by Temporal, • Own high-impact technical systems that are critical to Scale's revenue delivery, • Build and iterate on complex systems that scale to millions of tasks per week, • Collaborate with model teams, Forward Deployed Engineers, and cross-functional stakeholders, • Help shape the engineering culture, values, and best practices of a fast-growing team, • 3+ years of relevant software engineering experience, • Track record of building and shipping products at scale, • Ability to thrive in a fast-paced, high-ownership environment, • Strong product intuition and problem-solving skills, • Experience across the stack: React, Typescript, Node, Python, etc., • Excited to join a hybrid team based in San Francisco or New York City 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:$180,000—$225,000 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 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.

Job Locations US-NY-New York Requisition ID 2026-12455 Category Marketing and Proposal Support The Director of Marketing, Affordable & Mixed-Income Housing is responsible for leading all marketing-specific proposal and pursuit activities and project-specific marketing efforts for Gilbane Development's Affordable and Mixed-Income and Acquisitions vertical business line. This position sets the strategic direction for vertical marketing and procurement efforts, manages pursuit and marketing team resources, and is accountable for brand presence, proposal quality, pursuit execution to support the development team, budget management, and marketing KPI performance for the vertical. This role is responsible for strengthening Gilbane Development's ability to compete successfully once target opportunities are approved for pursuit by the development team. This leader will work closely with the development team to help convert identified opportunities into wins through compelling positioning, high-quality proposals, strong interview strategies and materials, and coordinated pursuit execution. The ideal candidate will bring experience working in or alongside public-sector, affordable housing, and community partnership environments, with the ability to translate complex development strategies into clear, persuasive messaging for agencies, housing authorities, nonprofit partners, community stakeholders, and internal leadership. Vertical Marketing Leadership Lead the marketing strategy for the Affordable and Mixed-Income vertical, including positioning, messaging, thought leadership, campaign and PR planning, and market visibility. • Develop and maintain a differentiated brand narrative for Gilbane Development's affordable and mixed-income housing platform, emphasizing mission, execution capability, community impact, and partnership strength., • Own the end-to-end proposal and procurement process for the vertical, including pursuit strategy, response planning, compliance, content development, interview preparation, and final submission of RFQs, RFPs, qualifications packages, and presentations., • Lead pursuit strategy sessions and develop win themes, executive summaries, differentiators, interview messaging, and visual direction for submissions., • Ensure consistent quality, brand alignment, and on-time delivery across all pursuit materials., • Build repeatable tools, templates, and content libraries that improve efficiency and consistency across pursuits., • Support the Affordable and Mixed-Income vertical in aligning marketing efforts to pipeline priorities and active pursuits., • Collaborate with vertical leadership to position Gilbane Development effectively for public-sector, nonprofit, institutional, and community-based opportunities., • Provide marketing and pursuit leadership that helps the development team convert qualified opportunities into successful outcomes., • Bring working knowledge of affordable and mixed-income housing delivery models, public-private partnerships, community engagement, and procurement requirements that influence pursuit strategy and messaging., • Translate complex development, finance, and community-benefit concepts into clear, persuasive communications for municipalities, agencies, housing authorities, community stakeholders, and capital partners., • Manage vertical marketing and procurement leads and provide strategic direction, coaching, workload prioritization, and quality oversight., • Establish KPIs for pursuit performance, brand visibility, and marketing effectiveness; monitor results and adjust strategy as needed., • Manage the vertical/project marketing budgets and ensure investments support growth priorities and measurable outcomes., • Streamline sales processes and workflows to increase efficiency and productivity., • Design and deliver training programs to improve the team's skills and knowledge., • Gather feedback from the development team and continuously refine strategies and resources., • Bachelor's degree in marketing, communications, business, real estate, urban planning, public policy, or related field., • 10+ years of progressive experience in marketing, pursuits/proposals, business development support, or strategic communications, with substantial experience in real estate development, affordable housing, construction, architecture, or adjacent professional services., • Demonstrated success leading complex RFP/RFQ/proposal submissions and interview processes., • Excellent writing, editing, presentation, and storytelling skills., • Experience managing teams, budgets, and cross-functional initiatives., • Advanced knowledge and skills in Adobe Creative Suite, PPT, and across the Microsoft platform., • Experience supporting affordable or mixed-income housing pursuits., • Understanding affordable housing programs, public-sector procurement environments, and community engagement, as well as experience working with or supporting public-sector clients, community-based partners, housing authorities, nonprofit organizations, or similar stakeholder groups is a strong benefit., • Familiarity with housing authorities, public agencies, nonprofit partners, and mission-driven capital partners., • Experience developing interview strategies, pursuit presentations, and high-impact messaging., • Proficiency with proposal management workflows and marketing analytics. For New York this ranges from $167,000.00 - $200,000.00 plus benefits and retirement program. Gilbane offers an excellent total compensation package which includes competitive health and welfare benefits and a generous profit-sharing/401k plan. We invest in our employees' education and have built Gilbane University into a top training organization in the construction industry. Qualified applicants who are offered a position must pass a pre-employment substance abuse test. Gilbane is an Affirmative Action/Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, color, national origin, race, religion, sex, sexual orientation, gender identity, protected veteran status, or disability status. Note to Recruiters, Placement Agencies, and Similar Organizations: Gilbane does not accept unsolicited resumes from agencies. Please do not forward unsolicited agency resumes to our jobs alias, website, or to any Gilbane employee. Gilbane will not pay fees to any third party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes received will be considered property of Gilbane and will be processed accordingly. We can recommend jobs specifically for you! Click here to get started.

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.

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

Scale AI's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We are looking for a Mission Software Engineering Manager to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale's government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: • Recruit a high-performing engineering team., • Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects., • Collaborating with cross-functional teams to define, design, and execute strategic roadmap., • Work directly with customers to understand their problems and translate those into features in Scale's platform., • Be open to ~25% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back., • Deploy and maintain Scale software at customer sites, • Develop customer requested features and work closely with them to ensure that they win customer love., • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • 5+ years of full-time engineering experience, post-graduation, • 2+ years of prior engineering management or equivalent experience and has managed an engineering team., • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Linux experience: Understanding of shell scripting, operating systems, etc, • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc), • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles 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 Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. About Sales Strategy & Operations As a Sales Strategy & Operations team, our mission is to power sustainable revenue growth for Pinterest with data-driven strategic insights and decision making, tight management against them and high-impact revenue management. As we inform critical business decisions driving revenue growth, members of the team are highly visible to senior Sales Leadership at Pinterest and throughout the organization at large. What you'll do: Reporting to the Senior Director of Sales Strategy & Operations for North America Enterprise Sales, and in close partnership with the VP of North America Enterprise Sales focused on CPG, you will develop and bring to life data-driven strategies to accelerate growth in this critical business vertical.In this role, you will: • Partner with CPG Enterprise sales leadership to proactively define and deploy critical strategic, organizational and operational initiatives to increase revenue, sales productivity and operational efficiency, • Proactively inform decision making on Sales priorities with quantitative and qualitative insights and structured recommendations - and monitor/drive progress against those, • Lead the ongoing analysis of the business (revenue, operating metrics) to identify opportunities, risks and gaps - with weekly business reviews and ad hoc deep dives. Translate data into insights and action, • Present complex actionable insights about the business and recommended solutions - and drive action against them, • Structure and execute on projects by developing work plans, gathering and synthesizing relevant data, leading analyses and developing final recommendations, • Apply AI for data analysis and insight generation: leverage AI tooling to simplify and speed up data analysis and insight generation. Ensure strong understanding of AI outputs and connection back to data sources of truth and validating AI outputs, • Standardize and automate workflows using AI tooling: documenting and improving recurring sales processes, building templates, checklists, and lightweight "miniagents" or scripts that remove manual work from planning, reporting, and sales operations, • Work with and influence cross-functional teams including Finance, Product & Engineering, Client Solutions, • Contribute to the definition and execution of the broader North America Enterprise Sales strategy and Sales Strategy & Operations priorities. Support strategic planning efforts., • Identify and pursue opportunities for consistency and scale across the team (e.g., shared initiatives, improved processes & systems) What we're looking for: • 7+ years of professional experience in strategy & operations in a fast-paced, highly analytical environment, for instance: management consulting, investment banking, or tech/media, • Direct experience in digital ad sales strategy & operations preferred, • Strong analytical & quantitative skills; exceptional proficiency working with large datasets and expert at translating complex data into clear, actionable insights and structured opportunities, • Proven ability to drive impact in a complex, fast-paced environment, • Organized, detail-oriented and strategically focused, • Bachelor's degree in a relevant field such as business, economics, statistics, or a related field or equivalent experience., • AI native / AI first instincts: Candidates are expected to use internal AI, agentic tooling as a default first step for problem-solving, research, and answering sales/operaitonal questions before escalating to humans, • Can apply human judgement while using AI tooling: AI is a tool for productivity but it should not replace human judgement. Candidates need to know how to sanity check AI outputs and maintain their own voice, standards, and ensure AI outputs meet company policy and security requirements., • Familiarity with SQL, Salesforce, and Tableau is a plus, but is not required In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration at least one day per week and therefore needs to be in a commutable distance from the Pinterest New York office. Relocation Statement: • This position is not eligible for relocation assistance. Visit our ___ page to learn more about our working model. #LI-AT6 #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$155,644—$272,377 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

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

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.

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.

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.

UDR is seeking a Resident Service Specialist to join our team at Columbus Square (710 units) located in New York, NY. GENERAL SUMMARY OF DUTIES: Responsible to coordinate responses to resident service issues as well as tracking and following up on move-in satisfaction. Maintain company customer service standards within the community. Complete various administrative functions associated with residents' needs, Move-In coordination, Onesite responsibilities, coordinating concierge type customer service, and resident activities. Provide coordination to ensure high quality resident customer service. SUPERVISION RECEIVED: Reports directly to Community Director, Senior Community Director or Resident Services Manager. SUPERVISION EXERCISED: N/A ESSENTIAL FUNCTIONS: Move-In Coordination 1. Ensure each new resident has a move-in orientation conducted by appointment., 2. New residents are contacted within seven days of move-in to ensure they are satisfied and to report any issues. Onesite Responsibilities 1. Scan all required move-in documents into Onesite., 2. Oversee Pending Tasks. Customer Service Administration 1. Guide walk-in traffic and minimize the wait time., 2. Handle any walk-in resident concerns with the Resident Service Manager and/or Community Director., 3. Ensure that all voicemails, texts, emails and other resident and community communications are checked and responded to within established time guidelines., 4. Organize incoming packages systematically and distribute as needed., 5. Work closely with the Business Manager, Centralized Admin, Centralized Sales and Renewal teams to ensure leasing and renewal goals are met., 6. Utilize CRM to effectively manage resident relations, service requests and resident communications. Property Condition oversight 1. Walk through the move-in ready apartment to ensure they meet standards prior to orientation., 2. Walk through all amenities daily to ensure they are stocked and in good condition., 3. Walk problematic areas that are raised by residents on the day they are reported to ensure deficiencies are addressed. Follow-up with the service team until resolved., 4. Provide superior customer service to internal and external customers. Back-Up coverage 1. Interact with walk-in prospects by showing the property if needed and answering questions about the community., 2. Receive and greet visitors to the community and answer prospects, residents, and customer inquiries as well as phone calls., 3. Research and prepare any reports, memos, letters, resident correspondence, and other documents using word processing, spreadsheet, database, or presentation software at the direction of the Resident Services Manager or Community Director., 4. May interact with walk-in prospects by setting-up a self-guided tour, answering questions about the community, lease terms, and local area., 5. Complete market summary and comp reports as directed., 6. Comply with all Company policies and procedures related to employment., 7. Commit to Living the UDR Values each day in every action taken when executing the essential functions of the job., 8. Perform Resident Service Manager duties in the absence of the Resident Service Manager., 9. Perform other duties as assigned or as necessary. PERFORMANCE REQUIREMENTS: Knowledge of organizational policies and procedures. Ability to apply policies and procedures to solve everyday issues. Ability to define problems, collect data, establish facts, and draw valid conclusions. Must have excellent organizational skills. Ability to perform a variety of support assignments requiring some exercise of independent judgment. Demonstrated knowledge and familiarity with community and rental property operations. Must know and follow the Fair Housing laws. Demonstrated skills with customer service. Knowledge of principles and methods for showing and promoting property. Ability to effectively present information to prospective or current residents. Knowledge of Onesite reporting; office practices and procedures; filing and maintenance of fiscal records. Must be detail orientated. Must demonstrate excellent interpersonal skills; problem solving skills; and decision-making skills. Ability to meet and deal effectively with clients, associates, and the general public. Excellent verbal and written communication skills. Ability to create, compose, and edit written materials. Ability to establish priorities and coordinate work activities. Ability to work in conjunction with Company managers, residents, and associates. Must be skilled in word processing, drafting correspondence and memoranda. Attention to details, and basic experience with the internet. MS Office software applications required (e.g., Microsoft Office, Word and Excel). Knowledge of basic office practices and procedures; filing and maintenance of fiscal records. TYPICAL PHYSICAL DEMANDS: Requires prolonged sitting, some bending, stooping and stretching. Occasionally lifting files or paper weighting up to 30 pounds. Requires eye-hand coordination and manual dexterity sufficient to operate a keyboard, photocopier, telephone, calculator, and other office equipment. Requires normal range of hearing and eyesight to record, prepare, and communicate appropriate reports. Regular and consistent attendance on the job is an essential function. TYPICAL WORKING CONDITIONS: Normal office environment. Incumbents must be able to physically access all exterior and interior parts of the community and amenities. Periodic exposure to outside elements where temperature, weather, odors, and/or landscape may be unpleasant and/or hazardous. Occasional evening or weekend work. EDUCATION AND EXPERIENCE: 1. High School Diploma, or equivalent, is required., 2. Associate degree in business administration or equivalent, is preferred., 3. Minimum of two years of office experience is required., 4. Minimum of Two years' experience in residential properties, rental operations, hotel or related business operations is preferred., 5. Must have and maintain a valid driver's license unless otherwise noted. UDR is proud to provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. UDR is committed to providing and maintaining a diverse workforce and an inclusive work environment with equitable access and opportunity for associates to participate, grow, and reach their full potential. Equal Opportunity Employer 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.

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

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.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: • Own large new areas within our product, • Work across backend, frontend, and interacting with LLMs and ML models, • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 4+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes 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 is accelerating the development of AI across the world's most important organizations. The Forward Deployed PM is the person who makes enterprise deployments succeed from the product side - embedded with customers, shaping real production outcomes, and translating messy operational reality into high-signal input for the core platform. This is not a roadmap PM, a CSM, or a solutions engineer. The FDPM owns product outcomes inside a portfolio of enterprise accounts: earning deep trust with senior customer stakeholders, driving deployments to production, identifying where the product is the bottleneck vs. execution, and feeding durable, specific signal back to the platform team. The best FDPMs have shipped products into large organizations and can tell the difference between a customer's stated request, their actual problem, and what the platform should do. • Own product outcomes for our highest impact enterprise accounts. You are the accountable PM for product delivery and customer value., • Build trusted advisory relationships with VP/C-level buyers and senior technical leads. Become the reliable escalation point on the Scale side before issues surface externally., • Drive deployments from contract to production. You have done this before for large organizations. You know what 'production-ready' actually means and you close the gap., • Translate real customer workflows, friction, and priorities into high-signal product input for core platform teams. Not requirements docs - specific, evidence-backed product perspective with tradeoffs articulated., • Distinguish where the product is the constraint from where execution, integration, or change management is. Drive each type of blocker to resolution through the right channel., • Partner closely with FDEs so the account runs as a coordinated team, not a set of parallel workstreams., • Identify and develop expansion opportunities grounded in demonstrated customer value, • Represent customer reality to platform and leadership with enough credibility that it changes decisions., • Enterprise deployment ownership: has driven AI/ML or complex software products from contract to production at scale, with real integration, real security constraints, real change management., • Product judgment in the field: translates customer reality into product direction, not just feature requests; can say no credibly and explain why., • Customer trust-building: earns and maintains trust with demanding senior stakeholders over multi-quarter engagements; manages conflict without eroding the relationship., • Technical translation: bridges the gap between customer engineering teams and Scale platform engineers; does not relay messages, adds interpretation., • Operating in ambiguity: creates structure where there is none; makes decisions with incomplete information; does not wait for fully defined requirements., • Clear, precise communication: adjusts for audience (exec vs. engineer vs. PM); writes and speaks at the right level of detail; does not over-explain or under-explain., • 6+ years in product management, technical program management, or a customer-facing product ownership role., • Demonstrated record of shipping products or platform capabilities into large organizations - not pilots or proofs-of-concept. You can name the customer, the scale, the integration, and what production actually looked like., • Extreme ownership and follow-through: closes loops without reminders, drives outcomes across teams without formal authority, holds self and others to commitments., • Comfortable operating with senior customer stakeholders (VP/C-level) and senior engineers simultaneously; credible presence in high-stakes rooms on both sides., • Strong judgment under pressure: makes good calls quickly with incomplete information, knows when to escalate vs. resolve, does not generate thrash., • Technical fluency sufficient to hold a real conversation with a platform engineer about architectural tradeoffs - not deep coding, but genuine comprehension of how systems work in production., • Direct experience with AI/ML platform products - data labeling, RLHF, fine-tuning workflows, or model evaluation pipelines., • Experience in a startup or early-stage environment where process didn't exist and had to be created. 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.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, 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. At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: • Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements., • Collaborate with cross-functional teams to define, design, and deliver new features., • Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades., • Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies., • 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems., • Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.)., • Show a track record of mentoring and leading teams in successful projects., • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings., • Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems., • Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI)., • Experience with performance tuning and cost optimizations of cloud based data platforms., • Experience defining a data lifecycle strategy and designing/implementing tooling for data privacy (i.e. GDPR) needs., • Experience scaling products at hyper-growth startups. 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, we develop reliable AI systems for the world's most important decisions. Scale's product marketing team is responsible for developing and executing strategies that drive awareness and adoption for Scale's offering. We understand our customers' needs and challenges and ensure that their voices are reflected in product development and messaging. We then partner closely with product, engineering, research, sales, comms, and the broader marketing team to create a cohesive customer experience across all our channels. This role sits at the center of Scale's GenAI data products, which power the world's leading AI labs. As one of the largest providers of high-quality AI training data, we've built our reputation on speed, quality, frontier research, and a growing suite of multimodal data capabilities. The market is evolving fast, and we're looking for a marketer who can go on offense to sharpen our narrative and build a playbook that earns the trust of the AI community. The ideal candidate combines strategic thinking with hands-on execution. You will: • Own positioning and messaging for Scale's GenAI data products, articulating our differentiation on data quality, delivery speed, and multimodal breadth in a way that resonates with AI researchers and technical buyers., • Lead the content and social strategy for ___' dedicated online presence, taking a research-native approach that earns attention and credibility from the AI community., • Build and maintain competitive intelligence and a sharp point of view on the data market, arming the team with differentiated positioning as the market evolves., • Partner with Scale Labs researchers to amplify published work - leaderboards, benchmarks, and research papers - and translate it into pipeline and demand generation for the GenAI business, • Develop go-to-market strategies for new data offerings and modalities, working closely with product and sales to drive awareness and build market momentum., • 5+ years of experience in product marketing, with a track record of marketing technical products to developer or research audiences., • Strong technical fluency and passion for AI. You can hold a credible conversation about AI/ML fundamentals, training, and the role of data quality in model performance., • Experience building social-native content and community strategies on platforms like X, with an instinct for what resonates with technical practitioners, • Excellent written communication and storytelling skills - you can make complex technical concepts compelling without oversimplifying them., • Familiarity with the AI training data market, or adjacent data and infrastructure spaces., • An existing network or relationships within the AI research community. 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 salary range for this job posting is $77,450.00 - $123,921.00 annually + bonus + benefits. Pay Type: Salary The above represents the full salary range for this job requisition. Ultimately, in determining your pay and job title, we'll consider your location, education, experience, and other job-related factors, and will fall within the stated range. Your recruiter can share more information about the specific salary range during the hiring process. This role will work remote. Ideal candidates will have experience with Package, Auto and Workers' Compensation and reside ideally in NW New Jersey. This role will also service the Philadelphia, Pennsylvania area. The salary range for candidates in New Jersey or Pennsylvania is $83,771 - $134,031 annually + bonus + benefits. Pay Type: Salary We may hire a senior level which is on a higher salary range. A company vehicle will be provided for this role. The position will report to a Director, Safety and Loss Control. Are you a Referral? If you know a current Encova Insurance associate and would like to apply as a referral, please encourage them to submit your referral information before you submit your application. You will receive an email with a direct URL link to the Job Posting of interest. Applying through this URL link will create your referral relationship for our Talent Acquisition Team. Unique residence requirements are listed in each job posting, please review closely for details. Encova is only able to employ associates who reside and work within specific U.S. states. Our current policies are based on the laws in states in which we are registered for payroll. Our current footprint includes: Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nebraska, New Hampshire, New Jersey, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, West Virginia, Wisconsin. JOB OBJECTIVE: The Safety and Loss Control Consultant conducts loss analysis and research prior to conducting on-site occupational safety and loss prevention surveys to assess the policy holder's safety efforts and to detect occupational safety hazards to employees. The Safety and Loss Control Consultant prepares and submits reports of findings to management and makes recommendations to management to correct hazards and safety and loss control program needs. This position also participates in management training programs; researches literature, laws, standards and technical developments in the field of safety and loss control and provides the Underwriting Department with risk assessments in support of underwriting determinations. The Consultant works with standard to large accounts and accounts that present more complex hazard and safety issues. The Consultant may mentor and provide guidance to Safety and Loss Control Trainees as needed. The Consultant participates in training sessions for policyholders in conjunction with Senior Safety and Loss Control Consultants. This requires a vast working knowledge and experience with all aspects of loss control regarding all property and casualty coverages written by Encova: • General and Products Liability, • Workers' Compensation, • Property, • Auto/Fleet, • Risk Improvement ESSENTIAL FUNCTIONS: 1. Consults with policy holders to improve the occupational safety programs and performance leading to a safer and healthier workplace., 2. Provides underwriters with information concerning the level of safety of policy holders, 3. Evaluates policy holder safety programs and work sites for hazardous conditions, 4. Conducts simple Industrial Hygiene testing., 5. Researches literature, standards, laws, and rules to provide policy holders with effective solutions., 6. Develops cost effective methods to correct hazardous conditions., 7. Analyzes loss information to determine accident trends and provide policy holders with effective solutions., 8. Provides underwriting with accurate and timely reports on the hazards and the effectiveness of controls and the willingness of the policy holder to comply with recommendations to control hazards., 9. Keeps underwriting apprised of any changes in hazards or exposures through copies of reports to policy holders and special reports to underwriting., 10. Responds to requests from policy holders, underwriters, and other agencies in a timely fashion regarding safety issues., 11. Communicates ideas and issues with management to reach successful agreement through innovation, creativity, and compromise., 12. Provides leadership and motivation of the support staff to achieve loss control goals and objectives. OTHER FUNCTIONS: 1. Nonessential function: other duties as assigned. KNOWLEDGE, SKILLS AND ABILITIES: • Bachelor's degree from an accredited college or university required. Preferably in safety, industrial hygiene, engineering or related field., • Preference may be given to applicants with master's degree in Safety or Industrial Hygiene from an accredited college or university., • Preference may be given to applicants with two years of full-time or equivalent part-time paid occupational safety management or occupational safety management consulting experience in industry or insurance., • Certified Safety Professional (CSP), Certified Industrial Hygienist (CIH), Certification as an Associate in Risk Management (ARM), Associated Safety Professional (ASP) are preferred., • Knowledge of the various core elements within the occupational safety and industrial hygiene process., • Knowledge of effective safety program management., • Knowledge of risk management as it relates to safety and industrial hygiene as an overall function of business in planning, leading, and directing its operations., • Knowledge of workers' compensation laws, policies and rules, as well as understanding of the principles of insurance and risk management., • Basic understanding of guaranteed cost, deductibles, retrospective rating plans and the impact of accident prevention on each plan., • Knowledge of the rating systems, methods of calculating experience modification factors and the elements of each formula., • Understanding of the U. S. Department of Labor Bureau of Labor Statistics loss information, formulas and principles of calculating incidence rates for policy holders., • Knowledge of basic business financial principles to analyze cost effectiveness and return on investment of recommended solutions to hazards and exposures., • Ability to make sound judgments and work independently, and to establish and maintain effective working relationships with other policy holders, policyholders, regulatory agencies, and labor communities., • Working knowledge of Microsoft Word, Excel and PowerPoint., • Ability to compile, analyze, and report on findings., • Knowledge of Federal OSHA MSHA, DOT and NFPA standards., • Ability to communicate effectively, both orally and in writing., • Ability to safely operate a motor vehicle., • Must hold a valid driver's license. This position has been evaluated in accordance with the Americans with Disabilities Act. Encova Insurance makes every effort to reasonably accommodate disabilities to permit performance of the essential functions and candidates who need such accommodation are encouraged to seek it. This description reflects the nature and level of work performed by associates in this position. It is not an all-inclusive inventory of duties, responsibilities and qualifications required. It provides an accurate overview of the work and skills needed to perform this position. Because job content may change from time to time, Encova Insurance reserves the right to add and/or delete functions from this job as it deems necessary for business reasons. Ready to join our team? At Encova Insurance, we firmly believe that our associates drive our company's success by delivering unrivaled service to our customers. With success in mind, we make an ongoing effort to provide an environment that offers challenging, stimulating, and financially rewarding opportunities. Join us to discover a work experience where you can learn and grow to your fullest potential. What you can expect from us In addition to a competitive compensation package, we offer a comprehensive benefits package designed to support the well-being and growth of our associates. Available benefits (subject to any policy or plan changes) include, but are not limited to: * Health, Dental & Vision Insurance * Company-provided life and income protection plans * Eligibility to participate in a company incentive bonus program * 401(k) Retirement Plan - 100% company match up to 7% on annual salary * Paid Time Off, Paid Holidays, and Floating Holidays * Flexible Work Arrangements - Hybrid and remote depending on the role We believe that happy, healthy associates are the foundation of great work. Join us and thrive both professionally and personally. Encova Insurance is an EOE/E-Verify employer. #LI-Remote#LI-MF1

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.

We are seeking a Senior Security Engineer with a specialty in Detection and Incident Response to join our Security Engineering team. This role sits at the intersection of security operations and software engineering - you won't just investigate incidents, you'll build the systems that detect, contain, and prevent them. You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible. Your ability to write production-quality code is just as important as your ability to triage an alert. You will structure investigations, analyze root causes, and clearly communicate the significance of security incidents, their impact, and recommended remediation steps - but you'll also turn those findings into durable engineering improvements: better detections, tighter schemas, and smarter automation. • Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance., • Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity., • Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity., • Perform digital incident investigations to identify and contain potential security breaches., • Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies., • Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows., • Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organization., • Utilize threat intelligence platforms to improve hunting, detection, and response workflows., • Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders., • 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation., • Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code - not just scripts., • Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments., • Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically., • Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs., • Familiarity with digital forensics tools and malware analysis techniques., • Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate., • Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows., • Strong communication skills, with the ability to translate complex security findings into clear business impact. 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.

Managing Director - Investment Banking This role requires a minimum of 3 days per week working in our New York City office. Aon is looking for a Managing Director in Aon Securities, our investment banking group. This role will be responsible for originating, structuring, and marketing transactions to provide debt-related financing and capital for insurance companies. Close collaboration with all members of the Aon Securities team, including its catastrophe bond practice, and other key groups within Aon's reinsurance business will be key. This individual will possess demonstrated expertise over a broad range of solutions for insurance and reinsurance clients. They will have led numerous transactions, preferably with an emphasis on insurance-linked securities domestically and internationally. This role requires a track record of successfully sourcing, managing, and executing complex transactions over extended timeframes. This individual will serve as a trusted advisor to sophisticated clients regarding cat bonds, sidecars, general financing, and other matters. Position Responsibilities: Contribute to executing the Aon Securities business strategy by focusing on Aon's core product offerings using the appropriate resources available to: • Build and maintain strong commercial relationships with clients and prospective clients, • Market and execute multiple financial advisory and capital raising transactions, • Contribute to research and innovation related to transferring risks and new structural solutions, • Strengthen the firm's brand, • Drive global connectivity and collaboration across other Aon teams Critical Thinking: • Assess competitors, clients, and market segments to set ambitious but pragmatic business objectives, • Develop short-term and long-term strategies for transaction origination and placement, • Actively engage with members of the overall team. For specific transaction team members, give critical feedback in real time and for use in periodic performance reviews to suggest areas for development, • Managing and Coaching People - Lead high performing teams; influence desired outcomes by communicating vision and demonstrating standard methodologies;, • Applied Critical Thinking - Anticipate and react to business goals and opportunities strategically and creatively; take a leading role in developing and sponsoring new services;, • Act with Integrity - Integrate the Aon values of integrity, trust, character, pride and ethics into all aspects of work; demonstrate a high level of consistency between words and actions across all business situations; accept ultimate responsibility for results; always advocate for the best interests of clients, employees and shareholders;, • 15+ years' experience within the insurance sector, with expertise in sourcing, structuring, and performing a variety of structured finance and advisory transactions, • Excellent communication skills and leadership skills, • Experience with capital raising, strategic advisory, and insurance sector expertise, • Extensive knowledge and understanding of the insurance and reinsurance industries, • Ability to develop and maintain relationships with sophisticated insurance company clients, • BS/BA or equivalent experience How we support our colleagues Aon offers a comprehensive package of benefits for full-time and regular part-time colleagues, including, but not limited to: a 401(k) savings plan with employer contributions; an employee stock purchase plan; consideration for long-term incentive awards at Aon's discretion; medical, dental and vision insurance. This role does not accrue vacation. Rather, this role is eligible to take paid time off at the discretion of the employee and management in accordance with company policy and practices. Various other types of leaves of absence; paid sick leave as provided under state and local paid sick leave laws, short-term disability and optional long-term disability, health savings account, health care and dependent care reimbursement accounts, employee and dependent life insurance and supplemental life and AD&D insurance; optional personal insurance policies, adoption assistance, tuition assistance, commuter benefits, and an employee assistance program that includes free counseling sessions. Eligibility for benefits is governed by the applicable plan documents and policies. In addition to our comprehensive benefits package, we encourage an inclusive workforce. Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two "Global Wellbeing Days" each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions for our colleagues as well. Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued. Aon values an innovative and inclusive workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace. Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. People with criminal histories are encouraged to apply. We are committed to providing equal employment opportunities and fostering an inclusive workplace. If you require accommodations during the application or interview process, please let us know. You can request accommodations by emailing us at ___ or your recruiter. We will work with you to meet your needs and ensure a fair and equitable experience. For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances. Aon is not accepting unsolicited resumes from search firms for this position. If you are a search firm, you will not be compensated in any way for your submission of a candidate, even if Aon hires that candidate. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. The salary range for this position (intended for U.S. applicants) is $300,000 to $375,000 annually. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location. This position is eligible to participate in one of Aon's annual incentive plans to receive an annual discretionary bonus in addition to base salary. The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan. #li-ar1 #LI-HYBRID 2576303

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.

Role Overview: If you are an experienced Business Development Director looking for an opportunity to bring your industry knowledge and strategic relationship management skills to help evolve our business development function, then we would like to meet with you! As the primary marketing and business development liaison for key practice groups, the Director acts as a strategic partner to practice leadership, translating business strategy into actionable marketing and business development initiatives. Bringing proactivity and deep sector knowledge, this role is responsible for identifying high-value engagement opportunities and orchestrating a collaborative pursuit strategy. In partnership with the CMO, this role will also direct the evolution of the firm's business development function, focusing on talent development and the implementation of scalable Business Development systems. Through leadership of the U.S. Business Development team and oversight of the firm's BD training program, the position supports the development of a culture of proactive relationship management. At Cornerstone Research, you will be part of a thriving, 1,000-strong team that spans nine offices, comprises more than 55 nationalities, and leads the industry in its commitment to develop team members across all levels. Inc. Magazine has recognized Cornerstone Research three times as a Best Workplace for its outstanding employee engagement, collaborative culture, and professional growth opportunities. You'll Love It Here If You: * Embrace learning and continuous improvement * Set and strive for a high bar of excellence * Believe that teamwork leads to success: ask us what it means to be #onefirmfirm! * Take pride in always doing your best work, even if it's harder or takes longer * Are passionate about what you do How You'll Help Our Team Succeed: * Act as the primary Marketing and Business Development (MBD) liaison to practice areas including antitrust and competition, consumer fraud and product liability and healthcare and life sciences, ensuring that all MBD efforts are aligned with business goals. * Manage and mentor U.S. Business Development team and contribute to the Department leadership team. * Own the implementation and evolution of the BD training program. * Develop and maintain a working understanding of the legal areas served by practice consultants, including current issues, trends, key law firms, competitors and areas of strategic focus. * Partner with practice leadership and other key stakeholders to develop and implement marketing and business development plans and offer guidance on other strategic initiatives. * Ensure that sponsorships, marketing campaigns, thought leadership and events are developed in a way that reflects each practice's unique strengths and maximizes the group's competitive advantage. * Act as a knowledge management resource for assigned groups, including tracking thought leadership, client presentations, etc., to maximize promotional opportunities for those efforts. * Attend regular practice group and working group meetings; report on MBD activities and progress against plans. * Counsel consultants on personal BD goals and provide guidance and support for implementing personal BD plans. * Work closely with other functions in the Marketing Department, including marketing communications and events, to proactively identify opportunities in their areas. * Conduct research and analysis including competitive intelligence, client intelligence, trend reporting, and practice-specific needs where needed. * Support the integration of lateral consultants in assigned practice areas and produce monthly updates on laterals' progress for firm leadership. * Help prepare substantive pitch materials where needed. * Collaborate with other business professionals dedicated to supporting the practice to ensure efficient use of consulting staff time and attention. What You'll Need to Be Successful: * 15+ years of experience in business development, sales, and/or marketing. Previous law firm or professional services experience required. Prior experience with the assigned practice preferred. * Demonstrated business development experience is required. * Strong analytical skills, with a firm understanding of competitive analysis and strategic marketing. Demonstrated experience in synthesizing information into concise recommendations and strategic plans. * Excellent writing, editing and presentation skills. Attention to detail and precision in work product are a must. * Strong interpersonal skills and the ability to develop trusting, credible relationships across organizations are critical. * Ability to work collaboratively, build consensus around initiatives and bring stakeholders along while remaining focused on results is key. * AI familiarity and curiosity are required. * Proficiency in Microsoft Office programs required. Knowledge or ability to learn other programs is a requirement. * The desire to take initiative and actively contribute to the team and the firm. * The ability to communicate effectively and professionally. * Strong business acumen and the ability to learn the firm's financial and operational functions. * The mindset to provide superior service. * The ability to commute to our office in Washington, D.C., New York City, Chicago or Boston to comply with our hybrid work policy of 2-3 days per week in office. * Bachelor's degree in Business, Marketing, or other related fields of study required. An advanced degree is a plus. Cornerstone Research is offering a competitive market base salary for this position. The base salary range represents the low and high end of the salary range for this position in all eligible locations. This range may differ based on your geographic location and cost of living considerations. At Cornerstone Research, we believe compensation is more than just a base salary. We offer a competitive total compensation package that includes an annual performance bonus and comprehensive benefits such as flexible options for healthcare, paid time off, and retirement savings. Relocation assistance is not offered for this position. Base salary range: $180,000 - $260,000 We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. #LI-HYBRID Who We Are: Cornerstone Research provides economic and financial analysis and expert testimony in all phases of commercial litigation and regulatory proceedings. We work with a broad network of testifying experts, including leaders from academia and industry, who are recognized for their depth of knowledge, accomplishments, and research. Our staff consultants contribute expertise in economics, finance, accounting, and marketing, as well as business acumen, familiarity with the litigation process, and a commitment to produce outstanding results. We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. The firm's uniquely collegial, supportive atmosphere makes Cornerstone Research a great place to work. We invest in our people in a host of ways, from providing meaningful learning and development opportunities to organizing memorable social events. To many, our culture and our people are the most exciting, enriching aspects of a Cornerstone Research career. Equal Employment Opportunity: Cornerstone Research provides Equal Employment Opportunities to all employees and applicants for employment without regard to legally protected categories, such as age, sex, gender, gender identity, race, color, creed/religious belief, medical condition, predisposing genetic characteristics or genetic information or testing, disability, marital status, pregnancy status, military status, veteran status, arrest or conviction record (except where permitted by law), sexual orientation, ethnic background, citizen status, ancestry, national origin, or any other consideration protected by federal, state or local law.

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. The Public Sector team is at the forefront of this mission, partnering with government agencies to deploy mission-critical agentic solutions. Role Overview The Public Sector GenAI T&E Product Manager will be a high-horsepower technical leader, defining the vision and owning the roadmap for our evaluation capabilities. This role requires thriving in unscripted, high-stakes environments, as you will be the primary owner for the T&E tech stack-the robust infrastructure required to continuously measure, improve, and prove the superiority and sustained performance of our agentic applications. Traversing multiple engineering organizations across Scale, you will identify bottlenecks, distill technical friction into actionable plans, and drive execution. You will work across Scale's commercial and public sector teams to define requirements, ensuring our evaluation services are robust enough for the most demanding government use cases. Key objectives include refining the tech stack that allows ML teams to hillclimb, and surfacing critical performance information to stakeholders. Minimum Qualifications (Quantifiable) • Engineering Depth: 3+ years of experience in software engineering, systems architecture, or highly technical program management. You must be able to read code, understand system architecture, and participate in technical design reviews alongside engineering teams., • Evaluation Systems Expertise: Proven experience designing, owning the roadmap for, or operating the infrastructure required to continuously measure, improve, and show the performance of AI applications., • Problem Distillation: Demonstrated experience taking a vaguely defined problem (e.g., "our evaluation cycles are too slow") and delivering a technical roadmap, resource requirements, and measurable success metrics within a narrow time window., • Ambiguity Management: Proven track record of taking a project from "stalled/undefined" to "shipped" in a high-pressure environment. You can point to at least two instances where you inherited a failing project and saw it through to production., • Cross-Functional Leadership: Led multiple projects that required direct alignment between at least three distinct engineering organizations (e.g., Infrastructure, ML Research, and Product)., • Security Clearance: Active Secret, Top Secret, or TS/SCI clearance., • GenAI Implementation: Practical experience developing or evaluating features built specifically on LLMs, RAG, or autonomous agent workflows., • Technical Rigor: Advanced degree in Computer Science, Engineering, or a related field. 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 works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: • Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities., • Design and experiment new approaches to preference optimization., • Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness., • Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field., • Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning., • Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning., • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals 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 is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. You will help define what "good" looks like in generative AI, driving research that informs both our internal roadmap and the broader research community. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Drive research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects., • Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science., • 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 experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience tech leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals 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.

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 an Agent MLRE, you will be working on applying our Agent RL Training + Building algorithms to real life enterprise datasets across our clients + benchmarks. 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: • 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., • 1-3 years of building with LLMs 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.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, 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. At the foundation of these products is the Platform Engineering team. As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. Impact and Responsibilities: • Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals., • Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure., • Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle., • Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company. Ideally you'd have: • 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems., • Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)., • Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects, • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc., • Experience with orchestration platforms, such as Temporal and AWS Step Functions., • Experience with NoSQL document databases (MongoDB) and structured databases (Postgres)., • Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt)., • Experience scaling products at hyper-growth startups. 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's Generative AI business is continuing to see tremendous growth and expansion. Engagement Managers (EMs) are the combination of externally customer-facing and internally operationally driven. In this role, you will operate at the center of Scale's most strategic customer relationships, serving as both a trusted operator and thought partner to the world's leading AI research teams. You are the frontline of Scale's contact with our Gen AI customers, working with and being an advocate for customer data leaders and engineering/operations teams. You have a strong interest in how high-quality data can positively influence Gen AI models. You work towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver. The ideal candidate builds deep relationships with researchers and customer leads, navigates difficult conversations with confidence, and has a track record of earning new work through the quality of their execution and relationships. They are naturally empathetic and excel at building long-term relationships through diligent problem solving and thoughtful, strategic discussions. • Own a portfolio of complex, strategic projects with full accountability for delivery, quality, customer sentiment, and commercial outcomes, • Build and maintain deep, trust-based relationships with customer researchers and leads, serving as a thought partner throughout the project lifecycle, • Navigate difficult customer conversations around pricing, quality, and delivery expectations with confidence and clarity, • Identify and develop expansion opportunities through close customer engagement and a strong track record of execution, • 5+ years of work experience, with experience in consulting or as a technical product or program management role, • A proven track record in B2B client-facing roles, including building and expanding relationships and navigating complex customer dynamics, • Ability to understand the ML training lifecycle and discuss use cases meaningfully with technical customers, • A technical background (education or professional experience with CS, Engineering, Economics, Statistics, or another STEM field), • Graduate degree (PhD, MS) or research experience in a STEM field, • Experience at a frontier lab or company developing foundational models, or in a technical role at a high-growth AI company 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.

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 highly skilled and motivated Software Engineer, ARC (Architecture, Reliability, & Compute) to join our dynamic Public Sector Engineering team. As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts. You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages. You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments. You will: • Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure., • Own services or systems and define their long-term health goals, while also improving the health of surrounding components., • Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus., • Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment., • Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements., • 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., • Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering., • Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office. 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:$184,000—$259,440 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$165,600—$233,496 USDThe base salary range for this full-time position in the location of St. Louis is:$138,000—$194,580 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 Director of Molecular Diagnostics serves as the CLIA Laboratory Director for NYGC's clinical molecular diagnostics laboratory. This role provides clinical and scientific leadership for a CLIA-certified, CAP-accredited laboratory performing next-generation sequencing (NGS)-based genetic and oncology testing. The Director is responsible for the clinical validity, regulatory compliance, and operational excellence of all laboratory testing activities. This includes oversight of assay development and validation, quality management systems, regulatory compliance, personnel competency, and clinical interpretation and reporting of molecular diagnostic tests. The Director ensures compliance with CLIA, New York State Department of Health (NYS CLEP), CAP, and other applicable federal and state regulations, including licensure requirements for laboratories providing testing services across multiple U.S. states. Job Responsibilities: Laboratory Leadership and Oversight * Provide scientific, clinical, and regulatory oversight for all molecular diagnostic testing operations at NYGC. * Ensure the laboratory operates in full compliance with CLIA, NYS CLEP, CAP, and other applicable regulatory standards. * Maintain active oversight of laboratory operations through regular presence and engagement with laboratory staff. Assay Development and Validation * Lead the development, validation, and implementation of next-generation sequencing (NGS)-based diagnostic assays for constitutional genetics and oncology. * Review and approve validation protocols, validation summaries, and performance characteristics for all new and modified assays. * Ensure validation of both FDA-approved/cleared platforms and laboratory-developed tests (LDTs) in accordance with regulatory standards. Quality Management and Compliance * Oversee the laboratory Quality Management System (QMS) including QA/QC programs, instrument maintenance records, and performance monitoring. * Direct implementation and management of proficiency testing programs for genetic and oncology assays. * Ensure ongoing compliance to maintain: * New York State certification (Genetic Testing; Molecular Oncology - Tumor and Cellular Markers) * CAP accreditation * CLIA certification * Lead continuous quality improvement initiatives and participate in monthly quality assurance meetings. * Oversee applications and maintenance of state laboratory licenses for laboratories providing testing services across multiple U.S. states. * Participate in CLIA, CAP, and institutional working groups or committees as appropriate. Clinical Interpretation and Reporting * Provide professional interpretation, review, and sign-out of molecular diagnostic test results. * Ensure test reports meet clinical, regulatory, and laboratory standards. * Serve as a resource for clinical consultation with ordering physicians and healthcare providers. Personnel Oversight * Supervise laboratory personnel and ensure appropriate training, competency assessments, and continuing education. * Ensure laboratory staffing and qualifications meet regulatory requirements. This person must maintain sufficient on-site presence to provide effective oversight of laboratory operations. They must also be available for personal, telephone, or electronic consultation with laboratory personnel and clients. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change. Position Requirements: * MD or PhD in molecular biology, genetics, or a related field. * Board certification in an appropriate specialty (e.g., Clinical Molecular Genetics and Genomics or Molecular Genetic Pathology). * Possession of New York State Certificate of Qualification (CQ) in Genetic Testing required. Additional NYS Certificates of Qualification (e.g., oncology, infectious disease) preferred. * Minimum 5 years of leadership experience in a molecular diagnostics laboratory, including oversight of clinical NGS testing and laboratory personnel. * Demonstrated expertise in molecular diagnostics assay validation, regulatory compliance, and quality systems. * Experience directing laboratories performing constitutional genetic testing and molecular oncology testing preferred. * Experience managing laboratories licensed in multiple U.S. states preferred. Don't meet every single requirement? At NYGC we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Competencies * Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments. * Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. * Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. * Leader and Manager: Attracts, develops and retains diverse talent to achieve outstanding results; encourages professional development, coaches and regularly communicates expectations and feedback; aligns and inspires efforts toward our mission; translates organizational vision into action; responsibly utilizes NYGC's human and financial resources to ensure organizational and financial health; uses good judgment when making decisions; pushes boundaries and generates new ideas. Work Flexibility NYGC has established a flexible work policy to give employees and other staff more ability to balance their work, personal commitments, and commuting challenges. The incumbent in this position is eligible for a flexible work schedule or hybrid remote work arrangement with supervisory approval. It requires a minimum of two days per week onsite. Occasional evening and weekend work may be required. Salary & Benefits The pay range for this position is $300,000-320,000 per year; the base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. This includes Medical/Dental/Vision for employees & dependent(s); Vacation, Holidays, Sick, and Other Leave, including a paid winter break; a 401(k) match; Life Insurance; Flexible Spending Accounts; employee Tuition Reimbursement; flexible schedules and telework options for some positions; an Employee Assistance Program; and much more. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Exempt This position is eligible for visa sponsorship and relocation assistance

Scale's Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will lead initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats across all dimensions of Operations. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to accelerated career progression. You will: • Serve as the full owner of our most visible and high impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins, • Understand customer requirements and design data taxonomy best suited to improving model performance based on customer needs, • Build out pipeline infrastructure to ensure quality and efficiency, • Train, coach, and manage dynamic and global teams, • Build analytics to make data-driven decisions, • Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world, • Give regular progress updates to Scale's executive team You Will Have:, • A strong technical background is required for this position. For example, a degree in Machine Learning Engineering, Computer Science, or Software Engineering. The role requires the ability to do data analytics using SQL, Python, and a high proficiency in understanding Software Engineering processes, • 3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE, • Strong problem-solving capabilities in technical environments - ability to come up with creative solutions to complex, ambiguous, operational, and technical problems, • Entrepreneurial experience and mindset - you are excited about building things from scratch and can identify issues and execute quickly 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:$112,000—$190,000 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.

UDR, Inc. and its affiliated companies are seeking a Floating Resident Service Specialist to join our teams in NYC. This position will be based at 95 Wall our exclusive apartment community ( 503 homes) located in NYC and float to other communities in the area as needed. Pay Range: $29-$31.25/hour Do you thrive on crafting an amazing customer experience and providing satisfying solutions to customers? Do you want to be a "Care Hero" and it's your job to save the customer's day? As a Floating Resident Service Specialist, you ensure our residents are provided a seamless move-in experience and an enhanced lifestyle during their residency. ESSENTIAL FUNCTIONS: Move-In Coordination 1. Ensure each new resident has a move-in orientation conducted by appointment., 2. New residents are contacted within seven days of move-in to ensure they are satisfied and to report any issues. Onesite Responsibilities 1. Scan all required move-in documents into Onesite., 2. Oversee Pending Tasks. Customer Service Administration 1. Guide walk-in traffic and minimize the wait time., 2. Handle any walk-in resident concerns with the Resident Service Manager and/or Community Director., 3. Ensure that all voicemails, texts, emails and other resident and community communications are checked and responded to within established time guidelines., 4. Organize incoming packages systematically and distribute as needed., 5. Work closely with the Business Manager, Centralized Admin, Centralized Sales and Renewal teams to ensure leasing and renewal goals are met., 6. Utilize CRM to effectively manage resident relations, service requests and resident communications. Property Condition oversight 1. Walk through the move-in ready apartment to ensure they meet standards prior to orientation., 2. Walk through all amenities daily to ensure they are stocked and in good condition., 3. Walk problematic areas that are raised by residents on the day they are reported to ensure deficiencies are addressed. Follow-up with the service team until resolved., 4. Provide superior customer service to internal and external customers. Back-Up coverage 1. Interact with walk-in prospects by showing the property if needed and answering questions about the community., 2. Receive and greet visitors to the community and answer prospects, residents, and customer inquiries as well as phone calls., 3. Research and prepare any reports, memos, letters, resident correspondence, and other documents using word processing, spreadsheet, database, or presentation software at the direction of the Resident Services Manager or Community Director., 4. May interact with walk-in prospects by setting-up a self-guided tour, answering questions about the community, lease terms, and local area., 5. Complete market summary and comp reports as directed., 6. Comply with all Company policies and procedures related to employment., 7. Commit to Living the UDR Values each day in every action taken when executing the essential functions of the job., 8. Perform Resident Service Manager duties in the absence of the Resident Service Manager., 9. Perform other duties as assigned or as necessary. PERFORMANCE REQUIREMENTS: Knowledge of organizational policies and procedures. Ability to apply policies and procedures to solve everyday issues. Ability to define problems, collect data, establish facts, and draw valid conclusions. Must have excellent organizational skills. Ability to perform a variety of support assignments requiring some exercise of independent judgment. Demonstrated knowledge and familiarity with community and rental property operations. Must know and follow the Fair Housing laws. Demonstrated skills with customer service. Knowledge of principles and methods for showing and promoting property. Ability to effectively present information to prospective or current residents. Knowledge of Onesite reporting; office practices and procedures; filing and maintenance of fiscal records. Must be detail orientated. Must demonstrate excellent interpersonal skills; problem solving skills; and decision-making skills. Ability to meet and deal effectively with clients, associates, and the general public. Excellent verbal and written communication skills. Ability to create, compose, and edit written materials. Ability to establish priorities and coordinate work activities. Ability to work in conjunction with Company managers, residents, and associates. Must be skilled in word processing, drafting correspondence and memoranda. Attention to details, and basic experience with the internet. MS Office software applications required (e.g., Microsoft Office, Word and Excel). Knowledge of basic office practices and procedures; filing and maintenance of fiscal records. TYPICAL PHYSICAL DEMANDS: Requires prolonged sitting, some bending, stooping and stretching. Occasionally lifting files or paper weighting up to 30 pounds. Requires eye-hand coordination and manual dexterity sufficient to operate a keyboard, photocopier, telephone, calculator, and other office equipment. Requires normal range of hearing and eyesight to record, prepare, and communicate appropriate reports. Regular and consistent attendance on the job is an essential function. TYPICAL WORKING CONDITIONS: Normal office environment. Incumbents must be able to physically access all exterior and interior parts of the community and amenities. Periodic exposure to outside elements where temperature, weather, odors, and/or landscape may be unpleasant and/or hazardous. Occasional evening or weekend work. EDUCATION AND EXPERIENCE: 1. High School Diploma, or equivalent, is required., 2. Associate degree in business administration or equivalent, is preferred., 3. Minimum of two years of office experience is required., 4. Minimum of Two years' experience in residential properties, rental operations, hotel or related business operations is preferred., 5. Must have and maintain a valid driver's license unless otherwise noted. UDR is proud to provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. UDR is committed to providing and maintaining a diverse workforce and an inclusive work environment with equitable access and opportunity for associates to participate, grow, and reach their full potential. Equal Opportunity Employer 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.

RN Team Manager with 15K New Hire Bonus and PENSION This Jobot Job is hosted by: Donna Gawroski-Kusik Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $115,000 - $143,000 per year A bit about us: A NYC Metro Healthcare organization with over 100+ years of success in the community offering several services including hospice and palliative care, rehabilitation, and skilled nursing Why join us? • $15,000 Sign on Bonus (depending on position) + 10% Shift Differential, • 4 weeks Vacation, • 8 company paid holidays, • PENSION plan – Employer paid 100% at 5.75% of salary per year, • Employee Vesting at 5 year work anniversary, • 403B Retirement plan thru Lincoln Financial, • Medical, Dental and Vision coverage start 60 days after start date, • Medical Coverage thru CIGNA, • Dental Coverage thru choice of Cigna PPO plan or AETNA DMO plan, • Vision coverage thru United Healthcare, • FREE Online RN to BSN and MSN degree programs, • Dependent Tuition Reimbursement for clinical staff, • Annual Tuition reimbursement $4,500, • 529 College Savings plan, • LOW cost medical, dental and vision coverage for employee and family members, • Flexible spending Account, • Dependent Care FSA, • Employee Assistance Program (EAP), • Life Insurance policy at 2X your annual salary paid by employer, • Short term and Long-Term disability thru Mass Mutual, • Commuter Benefits program for Transit and Parking, • Pet care discount 25% with participating Providers Job Details The RN Team Manager supports the Hospice Associate Director of Patient Services by providing leadership and mentoring guidance to the nursing staff on a day-to-day basis to ensure the provision of Hospice and Palliative Care services are consistent with the philosophy, goals, and policies of the program. The RN Team Manager schedules staff assignments in conjunction with the Assoc. DPS in accordance to the (NHPCO) and MJH staffing ratios. Empowers RN Case Managers through mentoring excellence in pain and symptom management along with focusing on patient and family goals of care. Monitors and evaluates the quality and completion of nursing documentation according to the documentation policy and procedure and state and federal regulations. Makes community presentations in conjunction with Admissions/Outreach Departments. Qualifications: • Graduate from an accredited School of Nursing, BSN or BS degree preferred., • Minimum of five years of Hospice nursing experience., • Supervisory or leadership experience preferred., • New York State RN licensure required., • National Board Certification in Hospice and Palliative Care (CHPN) preferred or obtains certification within one year of hire., • Word, Outlook, and Windows experience required., • Ability to effectively supervise and mentor Hospice nursing staff., • Ability to work effectively within an interdisciplinary team environment. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

HYBRID Remote Full time Bilingual Spanish speaking FNP with PSL Student Loan Forgiveness, PENSION, 403B Retirement, M-F - NO Weekends! This Jobot Job is hosted by: Donna Gawroski-Kusik Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $135,000 - $150,000 per year A bit about us: Highly respected full-service Health Center in Manhattan offering Primary Care as well as all Multi-specialty Health services treating complex and chronic health related illnesses for over 50+ years. The Health Center provides super affordable and comprehensive healthcare to all NYC metro residents and their families and has been recognized by the National Committee for Quality Assurance (NCQA) as a Patient Centered Medical Home providing best in class quality of care. Why join us? • PSLF Eligible: EIN: 135563408 (Personal (federal) Student Loan forgiveness program, • Pension Plan: 100% Employer Contribution to Pension Fund., • Health Insurance: Anthem Blue Cross Blue Shield., • Dental Insurance: Delta Dental, • Vision Insurance: Davis Vision, • Prescription drug benefits: OptumRx, • Flexible Spending Accounts (FSA): HealthEquity/WageWorks FSA and Dependent Care FSA. (, • Employee Assistance Program (EAP), • 403(b) with MetLife, • Vacation: 4 weeks, • Sick Leave: 12 days, • Personal Days: 4 days, • Holidays: 12 days including day after Thanksgiving and Christmas Eve, • Life Insurance: Amalgamated Life Insurance (100% paid by Employer, • Aflac, MassMutual, • Tuition Reimbursement: Up to $3,000 per year for degree and certificate granting programs., • License – (reimbursed in full - subject to supervisor’s approval), • Professional Membership - Up to $900, • Continuing Education – PCP-$2100 | SW-$800 | HR-$1000 | Nutrition-$700, • Employee Discounts: Various employee discounts available through Working Advantage, • Commuter Benefits: Pre-Tax savings available for transit and parking benefits with HealthEquity/WageWorks – (Immediate eligibility) Job Details We are hiring several Board-Certified Family Nurse Practitioners with active NY State Provider license in good standing who come with at least 1 year Provider experience in either Family Medicine, Internal Medicine, or Primary Care. Nurse Practitioner MUST be bilingual / Fluent in SPANISH language • Provider will provide direct patient care to all age ranges and will improve quality outcomes and patient satisfaction. The Provider will report to the Medical Director, and will collaboratively provide outstanding care to a multicultural patient population., • Scope of Responsibilities:, • Provider collaborates with Specialists that share the primary care clinic or work in nearby neighborhoods, • Provide a wide range of comprehensive primary care services to patients of all ages, performing physical exams, diagnosing and treating illnesses, prescribing medications, managing chronic conditions, and educating patients about healthy lifestyles., • Order and interpret diagnostic tests, develop treatment plans, and refer patients to specialists when needed., • Develop and implement treatment plans, prescribe medications, and manage chronic conditions like diabetes and hypertension., • Educate patients on preventative care, healthy lifestyle choices, and disease management., • Maintain accurate and up-to-date patient records, documenting medical history, assessments, diagnoses, and treatment plans., • Administer immunizations to prevent infectious diseases., • Participates in quality improvement efforts designed to improve clinical performance and maintain compliance, • A commitment to clinical interventions and delivery models that achieve the goals of population health and financial sustainability, • Contributes to the development of policies and standards of patient care by participating in committees., • Complies with company policies & procedures related to privacy and security of identifiable patient information (PHI), as explained in the HIPAA (Health Insurance Portability & Accountability Act) training., • Supports the stated goals and objectives of the Patient Centered Medical Home by working cooperatively with all clinical and non-clinical staff to develop procedures that enhance the Health Center’s team-based approach to patient care Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

National Leader In Real Estate Development is Hiring Director of Preconstruction in Los Angeles. Competitive Compensation + Bonus and Benefits! This Jobot Job is hosted by: Katie Collins Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $220,000 per year A bit about us: We are a national leader in the industrial, logistics, and flexible space sector, devoted to transforming large-scale real estate opportunities into high-performance, scalable business solutions. With decades of experience in development and operations, our team drives market-leading projects focused on growth and innovation. Why join us? • Lead and shape the preconstruction strategy for high-value industrial, logistics, and flexible-space assets. • Work at the intersection of design, entitlement, budgeting, and execution — partnering with the executive leadership team from pursuit to delivery. Job Details • Lead the preconstruction department, managing estimators, preconstruction managers, and analytics staff. • Oversee conceptual estimating, budget development, value-engineering, constructability reviews, and design-phase cost control., • Partner with development and operations leadership to evaluate land/prospects, define strategy, and develop pursuit plans., • Serve as a key stakeholder in bid evaluations, subcontractor negotiations, and GMP preparation., • Implement and optimize preconstruction systems, workflows, software tools, and best practices., • Foster relationships with design teams, owners, and market partners., • Bachelor’s degree in Construction Management, Engineering, Architecture or related (Master’s preferred)., • 12+ years of progressive preconstruction/estimating experience on large-scale industrial, logistics, or flexible workspace projects., • Demonstrated leadership of preconstruction teams with proven metrics (cost accuracy, value-engineering outcomes, risk mitigation)., • Deep knowledge of delivery methods such as CMAR, Design-Build, and Owner-Model., • Expertise with estimating platforms, BIM coordination, conceptual cost modeling, and software such as Bluebeam, Revit, WinEst, Procore. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

The Director Medical Reviews position is responsible for conducting medical necessity reviews in the context of utilization management and appeals and managing the development and implementation of quality improvement initiatives. Complies with the Healthfirst Conflict of Interest Policy for Profess

Description Organization Description: Goddard Riverside is dedicated to strengthening communities and improving the lives of vulnerable New Yorkers by addressing their essential needs with compassion and care. With 56 programs operating across 27 sites Goddard Riverside serves as both a strong advocate for our community members and a provider of essential services. These include food and shelter programs support for unhoused individuals living with mental illness and a wide range of educational cultural and recreational programs for children and adults. Purpose of Position: The Quality Assurance Analyst leads program monitoring initiatives that support organizational compliance performance monitoring and continuous improvement. This role is responsible for conducting internal audits and systematic reviews to assess compliance with funding deliverables contractual obligations regulatory requirements and applicable programmatic organizational and operational standards. Working collaboratively with program leadership PIIs Director of Contract Compliance the Data Manager and other key stakeholders the Quality Assurance Analyst conducts data-driven evaluations documentation reviews and policy alignment efforts to identify risks gaps and opportunities for improvement. The role supports the development implementation and monitoring of corrective action plans to ensure audit readiness strong data integrity and reporting practices operational effectiveness and compliance with funder and regulatory expectations. Schedule: Monday-Friday (9:00am-5:00pm) Salary Range: $60000 - $65000 Candidates must have the required qualifications to be considered for the position. The salaryoffer will be basedonthe candidates number of years experience in the exact orcomparableposition and additional preferred qualifications will be taken into account. Qualifications Roles Responsibilities and Essential Duties Key Responsibilities: Performance and Impact Management • Support performance monitoring and continuous improvement initiatives related to programs funding sources, • Monitor contract goals outcomes and performance indicators to ensure programs meet required deliverables; provide recommendations for corrective actions and performance improvements as needed, • Participate in funder-required compliance meetings audits and site visits., • Serve as Privacy Officer ensuring compliance with applicable privacy laws and regulations., • Maintain current knowledge of newly promulgated modified and existing rules regulations protocols and manuals; communicate relevant updates to directors and managers., • Assist in interpreting regulatory and contractual requirements and provide guidance to service directors and program staff., • Collaborate with leadership to develop revise and assess internal management systems tools and procedures to ensure compliance with organizational agency and regulatory standards., • Support the development and revision of policies in response to changes in City State and Federal regulations., • Track and monitor the completion of corrective action plans and implementation of recommendations resulting from audits monitoring reviews or special compliance meetings Qualifications: Required Education and Experience • Bachelors degree in Business Administration Public Administration Data Analytics Quality Management Operations Management or a related field., • Three (3) to five (5) years of experience in quality assurance compliance standards program monitoring or program evaluation within nonprofit or government-funded environments. Required Skills and Competencies • Strong analytical and problem-solving skills with a high level of attention to detail., • Proficiency in Microsoft Office Suite and data management or reporting systems., • Excellent written and verbal communication skills with the ability to prepare clear documentation and reports., • Ability to translate complex regulations into actionable processes, • Commitment to continuous improvement and data-driven decision-making, • Demonstrated ability to manage multiple priorities meet deadlines and work effectively in a fast-paced environment. Preferred Qualifications • Experience with OMH DOHMH DYCD DFTA and HUD-funded programs government contract compliance privacy regulations and performance evaluation frameworks., • Professional certifications in quality assurance or process improvement such as Certified Quality Improvement Associate (CQIA) Certified Quality Auditor (CQA) or Lean Six Sigma (Yellow or Green Belt). We are committed to building an inclusive workplace community grounded in respect for differences. We support hiring a broadly diverse team of qualified individuals who will contribute to our organizations. Goddard Riverside and Isaacs Center provide equal employment opportunities to employees and applicants for employment without regard to race color religion creed gender national origin age disability marital or veteran status sexual orientationgender identityor any other characteristic protected by federal state or local law. The intent of this job description is to provide a representative summary of duties and responsibilities that will be required of this position and title and shall not be construed as a declaration of the specific duties and responsibilities of any particular position. Employees may be requested to perform job related task other than those specifically presented in this description. This job description does not constitute an employment agreement between the employer and employee and is subject to change by the employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job. Employment Type : Full Time Experience: years Vacancy: 1 Monthly Salary Salary: 60000 - 65000

At GEICO we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers expectations while making a real impact for our company through our shared purpose. When you join our company we want you to feel valued supported and proud to work here. Thats why we offer The GEICO Pledge: Great Company Great Culture Great Rewards and Great Careers. Senior Manager Womens Sports & Portfolio Innovation Location:Chevy Chase MD / New York NY (Hybrid 3 days onsite) GEICO is seeking a Senior Manager Womens Sports & Portfolio Innovation to join our Sports & Experiential Marketing Center of Excellence. This is a new pivotal leadership role responsible for building GEICOs dedicated Womens Sports strategy and redesigning our long-lead sponsorship portfolio roadmap. This role is not about maintaining the status quo; it is about disrupting it. This is a unique opportunity to shape the future of GEICOs brand presence by building and transforming our go-to-market strategy within womens sports and emerging/long-lead partnership opportunities. The ideal candidate is a seasoned marketing professional who thrives in a fast-paced matrixed environment possessing a passion for connecting with audiences through culture sports and and high-impact partnerships. You will be tasked with identifying pitching and executing differentiated activations that drive brand love and business growth while collaborating with cross-functional teams including Media Creative Communications Product Marketing State Management and Analytics to ensure seamless data-driven execution. Our departments hybrid model is 3 days in the office per week with flexibility. Corporate offices are in Bethesda MD (greater DC) and Manhattan NY. This role reports into the Sr. Director Sports & Experiential Marketing. Responsibilities: • Architect GEICOs Womens Sports Playbook with ownership across the vision design launch and execution of our Womens Sports strategy. Create purpose-driven high-impact partnerships that resonate with diverse audiences and drive measurable brand lift, • Ensure Womens Sports partnerships are deeply integrated across GEICOs external marketing ecosystem and local marketing efforts as well as its internal associate engagement strategies, • Lead the ideation and execution for groundbreaking and high-impact consumer-focused campaigns across Womens Sports; shape authentic brand storytelling that elevates athletes fans and the brand, • Cultivate premier partnerships by serving as the primary steward and relationship lead for key Womens Sports sponsorships and talent agreements ensuring that contractual obligations are met while maximizing ROI, • Monitor the Womens Sports ecosystem from league expansion to new ownership models to media platforms to proactively position GEICO ahead of the market, • Build a multi-year portfolio innovation roadmap that balances foundation partnerships with emerging opportunities and future-forward bets. Includes anticipating rights cycles (IP/media) growth curves and emerging technology, • Establish clear investment guardrails workflows and decision frameworks to guide portfolio growth, • Translate long-range strategy into annual planning activation roadmaps and budget requirements serve as a strategic advisor to our leadership team articulating portfolio strategy trade-offs and growth opportunities, • Create a disciplined test-and-scale framework to pilot new leagues formats platforms and talent with the ability to rapidly expand whats working Key Qualifications: • 8 years of experience across a combination of sports and experiential marketing includes strategic and landscape expertise across both traditional and non-traditional Womens Sports partnerships with the ability to activate at both the local and national levels, • Experience managing long and short-term brand/talent ambassador deals from ideation to execution, • Proven ability to build and manage multi-year sponsorship portfolios at scale, • Experience managing and partnering with multiple external agencies and internal cross-functional partners across sports experiential media analytics and creative, • Ability to operationalize GEICOs sports and marketing practice redesigning more efficient processes workflows and communications, • A detail-oriented individual with the ability to work collaboratively in a fast-paced environment on multiple projects with competing deadlines Annual Salary $121975.00 - $189625.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include but are not limited to the scope and responsibilities of the role the selected candidates work experience education and training the work location as well as market and business considerations. At this time GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company:At GEICO we help our customers through lifes twists and turns. Our mission is to protect people when they need it most and were constantly evolving to stay ahead of their needs. Were an iconic brand that thrives on innovation exceeding our customers expectations and enabling our collective success. From day one youll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on peoples lives. Great Careers:We offer a career where you can learn grow and thrive through personalized development programs created with your career and your potential in mind. Youll have access to industry leading training certification assistance career mentorship and coaching with supportive leaders at all levels. Great Culture:We foster an inclusive culture of shared success rooted in integrity a bias for action and a winning mindset. Grounded by our core values we have an an established culture of caring inclusion and belonging that values different perspectives. Our teams are led by dynamic multi-faceted teams led by supportive leaders driven by performance excellence and unified under a shared purpose. As part of our culture we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards:We offer compensation and benefits built to enhance your physical well-being mental and emotional health and financial future. • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your familys overall well-being., • Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance., • Access to additional benefits like mental healthcare as well as fertility and adoption assistance., • Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race color religious creed national origin ancestry age gender pregnancy sexual orientation gender identity marital status familial status disability or genetic information in compliance with applicable federal state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants. Required Experience: Senior Manager Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 121975 - 189625

Job Title Manager Measurement Operations Job Description About The Position Major Goals and Objectives and Location Requirements: Reporting to the Director Measurement Operations the Manager will serve as a strategic consultant to our internal measurement team and vendor partners supporting the technical aspect of measurement studies and data partnerships across the People Inc. portfolio of brands. The manager will support measurement operational strategy and identity-driven initiatives defined by leadership. The Manager will have strong knowledge of advertising measurement principles methods and ad effectiveness techniques and can project manage from problem to solution independently. This role will have a particular emphasis on supporting and ensuring success and efficiencies for the internal measurement team and our data connections with vendors. Schedule Requirements: Hybrid 3x a week- (NYC) In-office Expectations: This position is hybrid in-office with the ability to work remotely for up to 2 days per week. About The Team The Team and/or Brand: The People Inc. Measurement team is instrumental growing yield across 30MM daily sessions spanning 20 of the worlds best premium brands. About The Positions Contributions: * Manage all aspects of measurement tagging from generation to discrepancy reporting * Maintain all mapping registries and translation tables * Support the implementation and operationalization of People Inc.s identity framework (e.g.- tagging data flows and vendor integrations) * Monitor and run recurring measurement partner data feeds * Track taxonomy inconsistencies * Generate operational documentation and change logs * Create best practices for measurement identities to obtain high match rates The Roles Minimum Qualifications and Job Requirements: Education: A four-year college degree is required Experience: * 4 years of experience at a media agency brand or measurement vendor that includes managing digital ad and/or measurement operations * Experience directly managing vendors project timelines and giving strategic direction and feedback to those executing projects * Advertising background with emphasis on web mobile video and social * Basic familiarity with measurement methodologies * Proven analytic and project management skills Specific Knowledge Skills Certifications and Abilities: * Ability to project manage multiple research projects and prioritize in time-sensitive environments * Strong SQL (comfortable in BigQuery) * Working knowledge of identity frameworks including first-party identifiers identity resolution and integrations * Ability to read raw CSV/JSON feeds * Excellent communication skills amongst many stakeholders * Strategic thinker and ability to translate complex technical concepts into simple understandings % Travel Required (Approximate): N/A It is the policy of People Inc. to provide equal employment opportunity (EEO) to all persons regardless of age color national origin citizenship status physical or mental disability race religion creed gender sex sexual orientation gender identity and/or expression genetic information marital status status with regard to public assistance veteran status or any other characteristic protected by federal state or local addition the Company will provide reasonable accommodations for qualified individuals with disabilities.Accommodation requests can be made by emailing ___

As an Associate Director Field Medical Affairs (Medical Science Liaison) responsibilities include engaging in the exchange of scientific data and other medical and/or scientific information with KOLs HCPs researchers pharmacists and population-based decision makers. As a scientific expert in your territory you will demonstrate a thorough understanding of Neurology aligning with our strategic medical plans. The position will bring relevant insights from the field on research developments treatment landscape and other opportunities to shape our medical strategy. You will be considered a scientific and clinical expert on our current and future Neurology assets. Territory: NYC metro area A typical day may include the following: * Establish foster cultivate and maintain peer relationships with KOLs in Neurology * Act as a primary clinical/scientific resource to HCPs for information pertaining to disease state and our products to ensure awareness and understanding. * Identifies and maintains a list of relevant medical/therapeutic area experts investigators and develop engagement plans. * Support evidence generation (company sponsored trials and investigator-initiated studies) research initiatives. * Identify and report medical insights. * Identifies gaps in research and educational needs to inform medical strategy. * Responds to requests for information related to study indications disease state and therapeutic area and presents/discusses scientific and clinical data to appropriate audience in a compliant manner. * Performs disease management and therapeutic area education with identified practitioners payers and researchers. * Attends conferences to collect and report relevant scientific clinical & competitive intelligence. * Ensures company policies procedures principles and financial controls are maintained with integrity and professionalism is displayed internally and externally. To be considered a Clinical/Science doctorate Degree required (MD PharmD PhD DNP DVM) with a minimum 8 years of experience including 4 years working as a Medical Science Liaison in the pharmaceutical industry. Experience as a Neurology MSL or in Neurology is preferred. Demonstrated experience communicating complex data sets and the ability to be seen as a scientific peer while educating top KOLs is required. Established relationships with KOLs in neuromuscular centers is preferred as is product launch experience. Knowledge of treatment guidelines clinical research processes FDA regulations pharma regulations/compliant practices and OIG guidelines are required. Capable of frequent business travel (approximately 70% of time) including air travel ability to travel overnight and occasionally on weekends Does this sound like you Apply now to take your first step towards living the Regeneron Way! We have an inclusive culture that provides comprehensive benefits which vary by the U.S. benefits may include health and wellness programs (including medical dental vision life and disability insurance) fitness centers 401(k) company match family support benefits equity awards annual bonuses paid time off and paid leaves (e.g. military and parental leave) for eligible employees at all levels! For additional information about Regeneron benefits in the US please visit For other countries specific benefits please speak to your recruiter. Please be advised that at Regeneron we believe we are most successful and work best when we are together. For that reason many of Regenerons roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about Regenerons on-site policy and expectations for your role and your location. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color religion or belief (or lack thereof) sex nationality national or ethnic origin civil status age citizenship status membership of the Traveler community sexual orientation disability genetic information familial status marital or registered civil partnership status pregnancy or parental status gender identity gender reassignment military or veteran status or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment unless the accommodation would impose undue hardship on the operation of the Companys business. For roles in which the hired candidate will be working in the U.S. the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S Japan or Canada please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity right to work educational qualifications etc. Salary Range (annually) $176100.00 - $287300.00 Required Experience: Director Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 176100 - 287300

Job Description RESPONSIBILITIES: • Provide intensive care coordination activities for clients, • Ensure that clients have access to, engage in and retain needed services as defined in their care plan which may include such services as: Acute Medical Care, Primary Medical Care, Preventative Medical Care Services, Home Health Care, Behavioral Health Services, Community Social Support Services, Housing & State and Federal entitlements, • Advocate for client services by phone and in person as needed, • Perform home visits and follow-up to monitor services and client status, • Participate in case conferences and trainings, • Maintain relationships with service providers, • Maintain accurate and timely documentation including all documents in client's charts, records and billing activity logs, • Attend supervision with Program Director as per agency policy QUALIFICATIONS: • Requires High School Diploma or GED with 2 years of care management experience, • Experience & knowledge working with homeless, behavioral health (including mental health and/or addictions) and HIV populations required, • Bilingual English/Spanish preferred, with good verbal skills in Spanish, • Must have exceptional communication skills both orally and in writing, with individuals and groups regarding complex and sensitive issues