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

Job Title: Senior AWS Connect Solutions Architect & Lead Developer Location: NY/NJ/CT Onsite -Hybrid/Remote Term: Contract Experience: 5–7 Years experience in Amazon Connect CX Transformation We are seeking a hands-on AWS Connect Architect to lead the technical migration of a large healthcare payer for chat and voice services migrating from Genesys/ LivePerson to Amazon Connect. This is a role requiring a candidate who can define high-level architecture, advise on migration best practices, provide innovative solutions and roll up their sleeves to build complex contact flows and integrations. Key Responsibilities • Architectural Leadership: Design and document the end-to-end migration strategy from to a unified AWS Connect environment for both Voice and Chat., • Requirements Engineering: Lead discovery sessions to translate legacy "must-have" features and identified "gaps" into AWS-native functional requirements, with a specific focus on Digital Chat workflows., • Hands-on Development: Build and optimize complex Contact Flows, Lex Bots (V2), and Lambda-based integrations to ensure a seamless member experience., • Migration Advisory: Serve as the Subject Matter Expert (SME) on CCaaS migration best practices, including cutover strategies, feature mapping, agent desktop integrations and AI desktop interventions ., • Stakeholder Engagement: Act as the primary technical point of contact for various stakeholders and partner vendors, ensuring the solution aligns with Healthcare compliance (HIPAA), compliance and other value-based care objectives., • Chat Specialization: Define the requirements for persistent chat, asynchronous messaging, chat to contextual agent handoffs within the AWS ecosystem. Required Skills & Qualifications • Experience: 5–7 years of professional experience in Contact Center technology, with at least 3 years of deep, hands-on experience specifically with Amazon Routing, Connect flows, Lex Bot development, Agent Assist features. Agent desktop integrations, • Migration Expertise: Proven track record of migrating large-scale enterprises from other CCaaS systems to AWS Connect. Technical Stack: • Expertise in AWS Connect Contact Flows, Lambda (Python or Node.js), and Amazon Lex., • Strong understanding of AWS ecosystem services: DynamoDB, Kinesis, S3, and CloudWatch., • Familiarity with CRM integrations (Salesforce Health Cloud or similar)., • Knowledge also on Genesys / LivePerson Chat is preferred Domain Knowledge: Previous experience in U.S. Healthcare (Provider/Payer) is highly preferred, including understanding HIPAA mandates and care coordination workflows. Soft Skills: Ability to consult with business leaders to gather requirements and then immediately translate those into technical execution.

Personal Lines Underwriter and Producer in Training Location: New York, NY – Hybrid – Flexible work environment! Compensation: $80k to $95k plus full benefits and bonus structure! Summary This role combines underwriting expertise with the opportunity to grow into a producing role. The ideal candidate has strong underwriting skills, enjoys building relationships, and wants to develop as an insurance producer. No existing book of business is required. You will evaluate risks, support agents, and participate in business development activities while receiving guidance to expand your sales capabilities. Key Responsibilities • Review applications, reports, and supporting documents to determine eligibility, • Analyze risk, rate policies, and ensure accuracy of quotes and renewals, • Communicate with agents, carriers, and internal teams by phone and email, • Prepare quotes and respond to agent and prospect inquiries, • Process endorsements, cancellations, and renewals, • Gather documentation needed for underwriting decisions, • Participate in agency visits and relationship-building activities, • Support new business efforts and develop producer skills Qualifications • Active Producer License is a plus, but not required, • At least 3 years of Personal Lines Underwriting within an MGA or Wholesale Environment, • Must have either General Liability, P&C or Excess Surplus Underwriting Experience, • Familiarity with coverage forms, regulations, and underwriting standards, • Industry coursework or designations preferred What We Offer • Company Paid Insurance!, • 401(k) with employer match, • Paid time off and holiday pay, • Health club reimbursement and wellness programs, • Education assistance and learning opportunities, • Mentorship and coaching, • Internal growth pathways, • Collaborative and supportive team culture, • Modern technology and tools, • Opportunities to participate in philanthropy

Job Title: Senior AWS Connect Solutions Architect & Lead Developer Location: Hybrid - NY/NJ/CT Experience: 5–7 Years experience in Amazon Connect CX Transformation Role Objective- We are seeking a hands-on AWS Connect Architect to lead the technical migration of a large healthcare payer for chat and voice services migrating from Genesys/ LivePerson to Amazon Connect. This is a role requiring a candidate who can define high-level architecture, advise on migration best practices, provide innovative solutions and roll up their sleeves to build complex contact flows and integrations. Key Responsibilities • Architectural Leadership: Design and document the end-to-end migration strategy from to a unified AWS Connect environment for both Voice and Chat., • Requirements Engineering: Lead discovery sessions to translate legacy "must-have" features and identified "gaps" into AWS-native functional requirements, with a specific focus on Digital Chat workflows., • Hands-on Development: Build and optimize complex Contact Flows, Lex Bots (V2), and Lambda-based integrations to ensure a seamless member experience., • Migration Advisory: Serve as the Subject Matter Expert (SME) on CCaaS migration best practices, including cutover strategies, feature mapping, agent desktop integrations and AI desktop interventions ., • Stakeholder Engagement: Act as the primary technical point of contact for various stakeholders and partner vendors, ensuring the solution aligns with Healthcare compliance (HIPAA), compliance and other value-based care objectives., • Experience: 5–7 years of professional experience in Contact Center technology, with at least 3 years of deep, hands-on experience specifically with Amazon Routing, Connect flows, Lex Bot development, Agent Assist features. Agent desktop integrations, • Migration Expertise: Proven track record of migrating large-scale enterprises from other CCaaS systems to AWS Connect., • Technical Stack:, • Expertise in AWS Connect Contact Flows, Lambda (Python or Node.js), and Amazon Lex., • Strong understanding of AWS ecosystem services: DynamoDB, Kinesis, S3, and CloudWatch., • Familiarity with CRM integrations (Salesforce Health Cloud or similar)., • Knowledge also on Genesys / LivePerson Chat is preferred, • Domain Knowledge: Previous experience in U.S. Healthcare (Provider/Payer) is highly preferred, including understanding HIPAA mandates and care coordination workflows., • Soft Skills: Ability to consult with business leaders to gather requirements and then immediately translate those into technical execution.

POSITION PURPOSE: Casa Cipriani is a prestigious private members club and hotel, renowned for its impeccable service, elegant design, and timeless sophistication. Our commitment to providing unparalleled hospitality experiences to our members and guests is rooted in our heritage and passion for excellence. Joining Casa Cipriani means becoming part of a community dedicated to setting new standards in luxury and personal service. We are seeking a detail-oriented and hospitality-driven individual to join our Guest Relations team as a Guest Service Agent. This role plays a key part in delivering a seamless and personalized experience for our members and hotel guests. The Guest Service Agent will manage guest itineraries, VIP preferences, transportation coordination, and personalized services through tools such as Alliants and Opera, ensuring each stay is tailored and memorable. ESSENTIAL FUNCTIONS AND DUTIES: • Organize and maintain comprehensive guest itineraries using Alliants CRM system., • Perform daily arrival printouts and ensure accurate preparation for all next-day arrivals., • Reconfirm all next-day activities with vendors to guarantee guest services are secured., • Coordinate house car usage, external transportation, and monitor daily usage logs., • Track and report on house car usage daily, with monthly recap reporting., • Manage daily posting of guest-related charges in Opera PMS., • Verify and reconcile weekly invoices from vendors and service partners., • Maintain timely communication and follow-up on guest emails and concierge requests., • Source, vet, and coordinate with vendors for personalized guest services and experiences., • Oversee guest shipments and deliveries, ensuring secure handling and efficient coordination., • Ensure all Alliants guest tracking data is updated, accurate, and current., • Add and review all Opera notes to reflect guest preferences and important details., • Coordinate and attend weekly VIP arrival meetings and prepare VIP arrival lists., • Deliver personalized experiences through guest profile management and preference tracking., • Ensure guest profiles are complete and updated for future visits, including individual profile data., • Organize daily preparation lists for next-day arrivals and any special requests., • Handle and manage riders, including VIP requests and entertainment setups., • Maintain high attention to personalized recognition of repeat and high-value guests., • Collaborate across departments to ensure consistent, elevated guest experiences., • Perform other tasks and duties as assigned by management. KNOWLEDGE, EXPERIENCE AND SKILLS: • Bachelor’s degree in Hospitality or related field preferred., • Minimum of 2 years of experience in luxury hospitality, front desk, guest relations, or concierge services., • Proficiency in guest service platforms including Opera PMS, Alliants, and Microsoft Office Suite., • Excellent verbal and written communication skills, with a guest-first mindset., • Strong organizational skills and attention to detail; ability to multitask and prioritize effectively., • Confidence in handling confidential guest information with discretion and professionalism., • A proactive, solutions-driven approach with the ability to work both independently and as part of a team., • Flexibility to work evenings, weekends, holidays, and extended shifts as required. PHYSICAL ACTIVITIES AND REQUIREMENTS OF THIS POSITION: • Ability to remain in a stationary position for extended periods., • Capable of walking, standing, and navigating the property throughout the shift., • Lift, carry, and transport items weighing up to 30 pounds as needed., • Perform repetitive motions and handle physical activity associated with guest service roles., • Adhere to all health, safety, and ergonomic protocols. INTENT AND FUNCTION OF JOB DESCRIPTIONS All descriptions have been reviewed to ensure that only essential functions and basic duties have been included. Peripheral tasks, only incidentally related to each position, have been excluded. Requirements, skills, and abilities included have been determined to be the minimal standards required to successfully perform the positions. In no instance, however, should the duties, responsibilities, and requirements delineated be interpreted as all-inclusive. Additional functions and requirements may be assigned by supervisors as deemed appropriate. Job descriptions are not intended as and do not create employment contracts. The organization maintains its status as an at-will employer. Cipriani is an equal opportunity employer.

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.

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

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.

Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes. Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research. If you excel at turning frontier agent research into reliable deployed systems, we want to hear from you. You will: • Build and deploy multi-agent systems for agentic reasoning validation, • Develop pipelines to detect errors and scale human judgment, • Combine classical ML, LLMs, and multi-agent techniques for reliability, • Lead research into agent failure modes and ship fixes, • Use AI tools to speed prototyping and iteration, • Build data-driven evaluations and deploy rapid improvements, • PhD or MSc in Computer Science, Mathematics, Statistics, or related field, • 3+ years shipping scaled production ML systems, • Demonstrated real-world impact, • Mastery of PyTorch, TensorFlow, JAX, or scikit-learn, • Deep expertise in agentic LLMs and multi-agent systems, • Strong software engineering and microservices (AWS/GCP), • Rapid, data-driven iteration, • Proficiency using AI tools to accelerate work, • Strong research depth with practical bias, • Experience prototyping agent evaluation/reliability systems, • Human-in-the-loop or annotation pipeline work, • Open-source contributions in agents, evaluation, or alignment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Aon is hiring a Senior Casualty Broker Advisor. As part of an industry-leading team, you will help empower results for our clients by delivering innovative and effective solutions as part of our Construction and Infrastructure Practice. Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed. What the day will look like The Broker Advisor is responsible for assessing client needs, designing solutions and negotiating with insurance carriers to obtain coverage that is in a client's best interests • Senior advisor to the Head of Casualty including overall strategy, key initiatives with market partners and overall colleague development, • Professional who develops and manages client relationships, account strategies and insurance marketing activities., • Act as a trusted advisor to the client, in broking, designing, selling and servicing complex accounts, • Provide outstanding and timely service and support to clients, relationship managers and originator, • Identify and analyze client exposures and ensure policy coverage addresses all such exposures, • Facilitate the compilation of submission information in conjunction with clients, relationship managers, originators and service center support, • Finalize market submission and product design options to clients, relationship managers, and originators, • Review and analyze quotes and binders to ensure appropriate coverage, • Detailed knowledge of the existing and prospected business within the segment, • Insurance Carrier relations specific to the segment, • Bespoke Broking and account reviews, • Detailed knowledge of the market dynamics within the segment, • Retain and grow assigned clients / prospects, • Adhere to the highest standards of professionalism and ethical behavior in all activities and able to work well in a team environment, • Potential management responsibilities, • Minimum 15+ years construction/infrastructure customer service and brokerage support experience, • Agent/Broker License, • Proven collaboration skills, • Strong oral presentation skills and the ability to clearly articulate complex written messages, • A network of carrier relationships, • Strong negotiation skills, • Broking experience on major complex risks, • Management Skills Preferred, • Bachelor's degree required How we support our colleagues 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 welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email ___ 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. Pay Transparency Laws: The salary range for this position (intended for U.S. applicants) is $250,000 to $350,000 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. A summary of all the benefits offered for this position: 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. 2569516

Senior Software Engineer (Applied AI) NYC (Hybrid, 4days a week) In-person Interview $201K–$246K Base + Equity About the Opportunity • We’re partnering with a well-funded, high-growth fintech startup building the next generation of infrastructure and intelligent tooling for financial professionals., • This company has achieved strong product-market fit and is scaling rapidly, with AI at the core of its platform — not as an experiment, but as a fundamental driver of how the product operates., • They are hiring Senior Applied AI Engineers (5–8 years experience) to help build and deploy AI-powered systems used daily by real customers., • This is a product-facing role, focused on shipping practical, high-impact systems — not research. What you’ll work on You’ll build AI directly into a live production platform, helping automate complex workflows and unlock efficiency at scale. Examples of systems you may design and ship: • AI copilots and intelligent assistants embedded into the product, • Autonomous agents that execute multi-step workflows, • Workflow automation systems powered by LLMs and structured data, • Meeting preparation tools (context aggregation, summaries, follow-ups), • Task routing and operational intelligence systems, • Build and deploy AI-powered product features used by real customers, • Design and implement agent-based systems that automate complex workflows, • Work across the full product lifecycle (idea → build → production → iteration), • Collaborate closely with Product, Design, and Engineering teams, • Engage directly with users and iterate based on real feedback, • 5–8 years of software engineering experience, • Strong product mindset and ability to operate independently, • Experience shipping AI systems into production (LLMs, agents, RAG, etc.), • Solid backend fundamentals (APIs, systems design, scalability), • Full-stack capability (frontend proficiency is a plus), • Experience in startup or high-growth environments, • Comfortable moving quickly and navigating ambiguity, • Ruby on Rails, • React / Next.js, • TypeScript, • GraphQL, • PostgreSQL, • Base Salary: $201,000 – $246,000, • Equity: Competitive early-stage equity, • Comprehensive health, dental, and vision coverage, • Hybrid: 4 days/week in-office (NYC), • Fast-paced, highly collaborative culture, • Tight feedback loops with real users, • Location: New York City (Hybrid), • Relocation: Open to candidates willing to relocate, • AI is core to the product — not an experiment, • You’ll build systems used daily by real customers, • Strong growth stage with real traction and momentum, • High ownership and ability to shape product direction, • Work alongside experienced operators and high-caliber engineers

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.

Job DescriptionDistrict Manager New York City, NY At Rothy’s, we believe there’s a better way to do business—one that puts the planet and its people first. That’s why we’ve transformed millions of plastic bottles into stylish, sustainable shoes and bags, creating wardrobe staples that look just as good as they feel. In our retail stores, clienteling, and genuine connection are at the heart of everything we do. We take pride in building lasting relationships with our customers—getting to know their style, anticipating their needs, and creating personalized experiences that make them feel truly seen and supported. Whether it’s helping someone find their perfect fit or sharing the story behind our sustainable designs, every interaction is an opportunity to deepen that connection. As we grow, we’re cultivating not just a workplace, but a community. It’s a place where careers can grow, ideas are shared, and people feel a true sense of belonging. Every day brings new opportunities to learn, lead, and make an impact—together, as part of a welcoming, inclusive team that celebrates each other’s contributions. About the Team: Our phenomenal Retail Field Operations team interacts with our customers in a super special way. Shopping at Rothy’s IRL is not your ordinary retail experience, so naturally, our team is extraordinary too. Members of this team are experts in the fit, wear, and sizing of our shoes. Our customers love shopping in stores due to the exceptional experiences they have with our Retail team. They have deep knowledge of every style, out-of-this-world customer service skills and a drive to deliver results and incredible experiences. About the role: Are you ready to bring our brand to life at our Rothy’s stores? As District Manager, you ensure our store teams are prioritizing exceptional customer experience while also keeping the store’s engine running. You train and support our store leadership teams to ensure efficient store operations and ensure our policies, procedures and SOPs are applied and adhered to in our locations. You actively partner with your Regional Director to use solutions-oriented problem solving to implement improvements, escalate roadblocks and position our retail teams for success. You are an ambassador of Rothy’s mission and core values and represent this in the lived experience of our customers, employees and communities. You are responsible for influencing, training and supporting our store leaders to own and drive the success and impact of their store and team. What you’ll do: * Oversee store leaders in your district and ensure delivery on company directives and expectations * Proactively partner and communicate in decision making with cross functional business partners to drive business results for district stores * Proactively identify trends and provide recommendations for process and system changes to drive business improvements * Provide expert brand and product knowledge training to all store leaders and collaborate with HQ business partners when additional or deeper training or information is needed to help improve customer experience and employee knowledge * Build and maintain community through helping develop and inspire in store activations/events in your locations * Proactively train the district store leaders on SOPs, store guidelines and expectations and ensure store compliance and execution. Gather insights and feedback for the Retail Operations team to further evolve/enhance to support the business or teams * Analyze and deliver customer-oriented product insights and their potential business impact to Retail and Leadership Cross-functional partners * Report, analyze, and advise on sales, returns, KPIs and trends and work with store leaders to develop action plans to address opportunities and celebrate successes and partner with Regional Director on any significant learnings that impact the business * Advise Store Managers on coaching for high performance and closely manage employee relations concerns with values-based leadership * Responsible for monitoring staffing and payroll optimization * Oversees inventory management and management of our internal systems to process orders and manage inventory effectively * Sets clear performance expectations for all stores and provides ongoing coaching and feedback to encourage team and individual development You are: * A change agent, comfortable in ambiguity, able to stay calm under pressure and be a leader during times of evolution in process, business, or direction * Able to easily take initiative on performance matters based on metrics and observations * An excellent communicator that is able to report in a clear and concise way, both in person and virtually * An expert operator who can easily adapt to changes while managing multiple priorities in an ever-changing environment * Able to learn quickly, think critically, propose solutions and take productive action without being requested to do so * Able to analyze data and information to better understand the business and our customers * Able to lead through influence and excel in inspiring, motivating, coaching and developing teams through their leaders * A merchant with a high business acumen and an understanding of what levers you can pull to build and grow a business * Able to operate with a high degree of flexibility and possess a willingness to take on a variety of large and small projects * Proficient with operations related technologies such as Shopify, Google Suite & Microsoft Office products You have: * 8+ years of retail experience with at least 3 years proven success in a district level leadership role, responsible for overseeing multiple stores in a fast paced environment * Extensive experience in store openings, training teams thoroughly and leading by example * Availability to work a minimum of 40 hours/week, including weekends, evenings and holidays; must be able to work 5 days a week (including Friday, Saturday, Sunday and holidays); travel as required; and be available as needed on an on-call basis * The ability to work on your feet up to 8 hours a day in a busy store environment; able to bend and lift up to 25 pounds Our benefits: * Generous paid time off * 401k matching * Comprehensive health plans for you and your family * Supplemental mental health benefits * Monthly wellness reimbursement * Employee Discount Program! Pay range: $120,000 - $140,000 annually Base pay is one part of the total rewards package that is provided to compensate and recognize employees for their work. This role may be eligible for additional discretionary bonuses/incentives, as well as a comprehensive benefits package. Please see our Privacy Policy here Compensation Range: $120K - $140K

Asepha is based in New York and Toronto, building agentic solutions that re-imagine how medications are prescribed, verified, and supported across the pharmacy ecosystem. Backed by $4M in funding and trusted by multiple Fortune 50 healthcare organizations, we’re scaling rapidly and seeking a talented, innovative Senior Software Engineer to join our growing team. As one of our early hires, you’ll play a critical role in shaping our engineering efforts, making key architectural decisions and writing code to expand our AI product line. You will play a pivotal role in balancing speed of execution with product quality, and have the opportunity to wear multiple hats, from frontend and backend development to devops and customer interactions. Your work will have a direct impact on improving pharmacy workflows and health outcomes. Join our mission: We’re building a world where medication delays are impossible. From the moment a prescription is written, the path to therapy start is clear, fast, and predictable. Asepha is the context graph for the therapy-start journey, connecting the fragmented steps that slow down medication access: intake, coordination, utilization management, and clinical services. Role and Responsibilities: • Design and build autonomous agents that handle complex, multi-step pharmaceutical workflows end-to-end, • Architect communication systems that coordinate across organizational boundaries, • Build robust orchestration layers for long-running tasks with graceful failure handling and human-in-the-loop escalation, • Develop frameworks that let agents interact with external pharmacy systems, databases, and APIs, • Implement evaluation and observability infrastructure to monitor agent behavior in production, • Integrate with healthcare data standards and legacy pharmacy systems, • Scale systems to handle real-time processing across multiple pharmacy networks Qualifications: • 5+ years of experience in software engineering with strong backend focus, • Proficiency in Python or TypeScript and deep knowledge of backend fundamentals: APIs, data stores, concurrency, distributed systems, • Experience with web frameworks and service-oriented architectures (FastAPI, Flask, or equivalent) and designing clean, versioned APIs, • Familiarity with caching, messaging, and database technologies (Redis, Kafka, SQL/NoSQL, vector databases) and how to use them for performance and reliability, • Experience building for cloud infrastructure (Azure, AWS, or GCP), • Experience building and deploying agentic AI systems. You understand tool use, planning, memory, and orchestration patterns, • You've built systems where the hardest part wasn't the code, it was figuring out what to build, • You've shipped something end-to-end with minimal guidance and owned the outcome, • Located in New York and can commute to our Manhattan office 3 days per week Perks: • Competitive compensation package, including $150-300k USD annual salary + stock options, • Full medical, dental, vision, • Unlimited days off to maintain a healthy work-life balance + 2 weeks of company-wide office closure during the holidays, • Complimentary breakfast provided daily and weekly team lunches in the office, • Professional development stipend Note: Only candidates selected for an interview will be contacted. Asepha is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

Job Description Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, and Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product. Merge is looking for a driven Partner Operations Manager… • Merge's integration ecosystem spans 300+ third-party platforms, and every one of those partnerships requires ongoing operational coordination to keep running. We are looking for a Partner Operations Manager to own the systems, processes, and cross-functional workflows that make this ecosystem work at scale. You will be the operational backbone of our partnerships function: the person who ensures nothing breaks, nothing stalls, and the team can move from 300 integrations to 500+ without adding complexity. This is a high-autonomy role where you will build the infrastructure that turns a fast-growing partner network into a repeatable, scalable operation. This role starts embedded in Partnerships, with a clear path to broaden into Product Ops as we scale our operating cadence, visibility, and cross-functional execution.What You Will Do:, • Own the operational infrastructure that keeps 300+ integration partnerships running, including credential management, sandbox upkeep, and partner access, • Build and maintain the systems and automations that allow the partnerships team to scale without proportional headcount growth. If something is manual and recurring, your job is to eliminate it., • Serve as the central point of coordination between Merge's engineering, support, customer success, and partner teams, ensuring escalations are routed, tracked, and resolved quickly (clear owners, timelines, and follow-through), • Drive complex partnership workflows end to end, from contract and NDA cycles through technical onboarding to live production status, • Lead partner API migration projects by managing timelines, dependencies, and communication between Merge engineering and external partner teams, • Own the partnerships operating rhythm (intake, prioritization, weekly status, and retros) to keep work unblocked and stakeholders aligned, • Create and maintain internal documentation and a single source of truth for partner context (status, owners, timelines, credentials), reducing institutional knowledge risk, • Over time, take on broader Product Ops ownership across Product (and partnership-adjacent) work — building operating cadence, improving planning/intake/prioritization, and defining metrics + reporting that increase visibility and execution velocity The ideal candidate will have: • 3-5+ years of experience in partner operations, technical program management, business operations, or a similar function at a SaaS or infrastructure company, • A track record of building systems and processes that replaced manual work. You should be the kind of person who sees a recurring task and immediately thinks about how to automate or templatize it, • Strong organizational skills with experience managing high volumes of concurrent workstreams across multiple stakeholders without letting things slip, • Comfort working with technical teams and concepts. You do not need to write code, but you should understand APIs, credentials, sandboxes, and integration architectures well enough to triage issues and communicate effectively with engineers, • Experience managing vendor or partner relationships, including contract workflows, stakeholder coordination, and cross-functional escalation paths, • Experience building cross-functional operating processes (intake, prioritization, reporting, and continuous improvement) in a fast-changing environment, • The cash compensation range for this role is $120,000 - $135,000. Linkedin's Top Startups 2025 Forbes Next Billion Dollar Startups 2023 G2 Fastest Growing Products 2024 Benefits • Unlimited PTO + 10 company holidays, • Pre-Tax commuter benefits, • 100% covered health, vision, and dental insurance, • 401K Plan, • $200 one-time home office stipend, • In office snacks and free dinner when working past 7pm

Job Description Who We Are: Museum of Ice Cream is an inclusive & immersive brand, designed to captivate your sweetest fantasy and sugar-filled daydreams online and IRL. At Museum of Ice Cream, we invite you to believe in the magic of creativity, to remind you that inclusive spaces do exist, and to show you that childlike wonder is worth savoring. In our world, ice cream is the agent of change and the vehicle to ignite the creative spirit that lives in all of us. Fueled by the power of imagination, MOIC is a universe of possibilities with tons of room for you to explore. Who You Are: As General Manager of our New York flagship, you are accountable for financial performance, guest experience, and team culture. This highly visible, on-site role requires active leadership during operating hours, including evenings, weekends, and peak periods. You will lead both Show/Front of House (FOH) and Service/Back of House (BOH) teams with operational expertise, emotional intelligence, and strategic focus, working closely with the AGM, Floor Managers, and Facilities Manager. You own the full scope of unit operations — P&L initiatives, schedules, payroll, training, compliance, guest standards, and cultural health — while serving as the bridge between senior leadership and on-the-ground teams. As GM, you set the tone by leading on the floor, collaborating directly with staff and guests, driving strategic planning and execution, and holding teams accountable for results through strong decision-making, problem-solving, and change leadership. This role requires both strategy and hands-on execution, balancing oversight with the ability to roll up your sleeves and handle the day-to-day challenges of a high-volume, guest-facing business. This includes stepping in to support shifts, weekends and floor management. Your leadership will also be key in driving guest, employee and financial success and operational efficiency. Your Day-to-Day: PEOPLE & TEAM LEADERSHIP • Consistently inspire and empower managers and teams to deliver exceptional guest experiences and a seamless operation, also ensuring that they have the tools and resources to succeed., • Display leadership by actively working the floor alongside FOH and BOH teams to ensure smooth guest flow, adequate staffing, and high service levels., • Make sound business decisions for labor and staffing needs, as well as resolve operational challenges across FOH and BOH teams, ensuring real-time coordination and adequate resources to meet business demands., • Champion the museum’s culture and values, using employee voice feedback to foster a positive work environment and ensure all team members embody our mission in guest and peer interactions., • Actively cultivate our feedback and growth culture by ensuring team members are supported in their professional growth and operational responsibilities., • Lead daily syncs and weekly meetings with your management team to assess operational challenges, plan for peak periods or special events, and ensure that both teams are aligned on priorities., • Ensure quick, effective communication between FOH and BOH during shifts, stepping in when necessary to resolve real-time operational issues such as cleanliness, supply shortages, or food prep. FINANCIAL MANAGEMENT & STRATEGY • Ensure that the location meets its financial targets, including sales, programming, inventory, operating and margin goals, collaborating with your peers, as well as the FOH and BOH teams to drive revenue and control costs., • Work closely with the FOH and BOH Managers to optimize labor by ensuring that staffing levels are aligned with operational needs, especially during peak periods., • Analyze guest flow and operational data to identify trends, adjusting inventory levels, staffing strategies, and operational plans to improve efficiency and guest experience., • Partner with the Finance and Sales teams to prepare and review financial reports, ensuring alignment between operational performance and financial targets. OPERATIONAL MANAGEMENT • Oversee inventory levels in partnership with your management team, ensuring that supplies (F&B, retail, service elements) are adjusted based on guest flow, seasonal needs, and upcoming events., • Work closely with your management team to ensure that daily operational needs, including ticketing, guest flow, facilities maintenance and service standards, are consistently met., • Collaborate with your management team to ensure that cross-departmental resource management (supplies, staffing) are streamlined and efficient., • Ensure that inventory control is maintained, with a focus on minimizing waste, optimizing stock levels, and ensuring the timely ordering of supplies. EVENT & HIGH-VOLUME PERIOD MANAGEMENT • Provide real-time guidance during high-traffic periods or unexpected operational challenges, working closely with both FOH and BOH Managers to resolve issues quickly and efficiently., • Collaborate with your management team to ensure that the team is well-prepared for special events, seasonal peaks, and high-traffic periods, adjusting staffing and inventory levels accordingly., • Ensure that the Guest Operations Support team (cleaning and food prep) is responsive to real-time needs, coordinating with the BOH Manager to handle cleanliness, food prep, and supply shortages during shifts., • Coordinate with the management team to ensure that additional guest flow and event-related operational demands are met, including staffing and resource allocation., • Serve as a primary point of contact for special events, ensuring that both FOH and BOH teams are aligned on responsibilities and timelines. GUEST EXPERIENCE OVERSIGHT • Utilize data and guest feedback to monitor satisfaction, collaborating with your management team to implement improvements in service delivery, cleanliness, and food prep standards., • Ensure that guest-facing areas are maintained to the highest standards, coordinating with FOH and BOH teams to address any issues impacting the guest experience. The Necessities • 5+ years of management experience in a physical consumer-facing environment., • 5+ years leadership experience managing an entire business unit or site., • Strong leadership skills, with a proven ability to manage cross-functional teams and work directly with both FOH and BOH departments to ensure operational excellence., • Prior direct oversight over 100+ exempt/non-exempt employees., • Experience managing inventory, people and labor, financial and sales performance for a high-volume operation, with a focus on optimizing efficiency while delivering exceptional guest experiences., • Advanced knowledge of accounting and finance principles., • Experience managing complex operations across people, financials, and processes., • Experience with POS and inventory systems, internal messaging systems, Google Suite, and ADP Time and Attendance., • Food Handler / ServeSafe and TIPS (or equivalent alcohol training) certifications., • Availability to work weekends, evenings, holidays, and peak business periods. The Nice-to-Haves: • Strong leadership skills, with a proven ability to manage cross-functional teams and work directly with both FOH and BOH departments to ensure operational excellence., • Strong coaching skills with a bias toward action and accountability., • Ability to problem-solve in real-time, stepping into operational roles as needed to ensure smooth shift execution during peak periods or special events., • Strong communication skills, with a proven ability to collaborate across departments and lead both strategic planning and hands-on operational execution., • Proficient and a quick ability to learn technology, including inventory management systems, labor scheduling software, and POS systems., • Bilingual (English/Spanish) communication skills preferred. The salary range for this role is $115,000 - $130,000 USD dependent on experience, as well as an annual bonus and options. Museum of Ice Cream is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other status protected by applicable federal, state, or local law. Benefits • Competitive pay and annual bonus, • Vision, dental, and healthcare benefits, • Employee assistance program, • 401K and retirement plans, • Stock options, • Paid time off, • After five years of employment, additional week off and monetary stipend, • Annual pinkball (yes, it is “pink-tie” themed company event), • Break room snacks and unlimited ice cream, • 16 free museum tickets per year for friends and family, with free entry for self, • 50% off retail products, • Ability to advance within the organization

Summary of Position • Oversee plan's behavioral health medical functions. Lead clinical oversight of behavioral health services/programs., • Engage with stakeholders to emphasize the importance of clinically driven, holistic mental health treatment., • Evaluate provider network quality and work to deepen partnerships with high performing groups; and evaluate health plan member-facing technology applications to improve engagement., • Lead Plan efforts to integrate physical medicine and behavioral health services including coordinating those efforts with medical leadership at ACPNY., • Execute on BH long term strategy including any insourcing or outsourcing, evaluation of network providers and vendors in partnership with vendor management and operational leads., • Execute on key departmental initiatives such as network expansion, direct contracting, BH concierge and development of BH service line. Attend Plan Medical Director meetings and participate in quality programs., • Research and develop/implement appropriate KPIs to measure and report return on investment for BH efforts., • Identify and execute opportunities to create efficiency, remove obstacles, or create improved systems, processes, and approaches within the Mental Health Administration function., • Mentor, develop and guide teams, minimizing performance gaps while ensuring an effective succession pipeline., • Set KPIs, and use data to drive decisions, ensuring effectiveness and hitting targets. Principal Accountabilities • Drive the strategic planning process, inclusive of quarterly and annual planning integrated with company annual process, ensuring goals are aligned with overall corporate goals., • Provide thought leadership to articulate and help build an effective and efficient medical delivery program., • Develop annual goals and oversight of BH department/function. Establish and maintain continuity in the planning, development and implementation of policies, operational processes, workflows required to execute organizational strategies and to ensure consistency in process application throughout Care Management., • Provide clinical leadership both internally and externally. Serve as an essential liaison among Senior Management, Plan staff, vendors, and membership to promote and improve communication and operations areas of medicine including Childhood, Adolescent and Adult Psychiatry. Chair/co-chair committees on quality and Utilization Management and parity and represent BH on medical management and pharmacy (P&T committees). Represent BH on medical management and pharmacy (P&T committees)., • Oversee the daily clinical operation and administration of a Behavioral Health (BH) function to support improved utilization results across the spectrum of medical specialties. Direct service delivery to high-risk populations, community settings and care of medical patients. Carry out assigned programs to ensure the delivery of quality medical care to EmblemHealth membership, ensuring compliance with contractual obligations and standards, and assist in the development and implementation of new policy and programs as needed., • Ensure operational effectiveness and oversight of assigned functions, assuring regulatory compliance and accreditation with Department of Health, Department of Insurance, CMS, NCQA, and URAC standards. Manage implemented network initiatives such as the BH concierge line., • Build out and integrate data reporting and dashboards to better manage member's behavioral health. Make sound decisions based on all available data. Validate and monitor adherence to implemented policies, procedures, workflows and processes: identify, recommend and implement improvement initiatives accordingly., • Generate methods to develop and improve the overall delivery and performance of the department. Implement process improvements in a timely manner. Increase productivity and revenue growth., • Enhance cross-functional collaboration. Support other areas in implementing cross-departmental changes. Deal effectively with and lead others throughout Company and delegated vendor(s) structure., • Be a model of corporate culture and values and demonstrate commitment to employee engagement and growth. Qualifications Education, Training, Licenses, Certifications • MD or DO degree., • Board Certified Psychiatrist, preferably Child and Adolescent Board Certification., • Active New York license or certification to practice medicine without restriction. Relevant Work Experience, Knowledge, Skills, and Abilities • 15+ years of relevant, professional work experience with 12+ years of senior level, psychiatric leadership experience., • 8 - 10+ years of BH experience in health plan; 5 - 8+ years of clinical practice., • Administrative experience on a hospital committee, in a medical group or for an insurer., • Experience developing high-impact strategies to improve effectiveness and drive key metrics., • Strong client-focused orientation and business relationship skills., • Ability to act as a change agent; to operate with urgency; and to challenge the status quo., • Detail orientation with ability to maintain a "big picture" view; strong organization and prioritization skills., • Knowledge of clinical practice of medicine, health care delivery systems, utilization methods and treatment Protocols, • Knowledge and understanding of managed care principles, industry evolution, physician reimbursement, and human resource management., • Experience conducting evidence-based treatments in group and individual modalities, especially for psychiatric treatment, • Experience with independent decision making while collaborating with physicians, members, subordinates, other departmental leaders and external vendors, regulatory and accreditation agencies., • Communication skills (verbal, written, presentation, interpersonal, tact and diplomacy) with all audiences; and the ability to effectively communicate with persuasion, clarity, integrity, and openness to large and small audiences., • Knowledge of clinical practice of medicine, health care delivery systems, utilization methods and treatment protocols., • Demonstrated ability to identify issues and trends; and to develop and implement solutions to improve processes., • Proven management experience with both operational and strategic orientation., • Strong leadership, strategic thinking, and project management. Demonstrated experience in team building through collaboration and open communication, with a focus on achieving a common goal., • Data analysis, forecasting, and process improvement expertise. Additional Information • Requisition ID: 1000002924, • Hiring Range: $345,000-$400,000

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.

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.

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, 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.

Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior or Staff Infrastructure Engineer to act as a primary technical lead, engineering the 'paved road' for our knowledge retrieval and inference engines. You won't just be managing resources; you'll be defining the deployment standards for Agentic workflows at scale. Your mission is to bridge the gap between complex AI orchestration and world-class infrastructure, ensuring our platform remains the most reliable destination for enterprise agents The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You'll Do: • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers., • Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement., • Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers., • Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection., • Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs., • Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies., • Own the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response., • Proven experience in a senior role, with 5+ years of full-time software engineering experience., • Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana)., • Extensive experience with at least one major cloud provider (AWS, Azure, or GCP)., • Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups., • Proficiency in Python or JavaScript/TypeScript, and SQL. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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.

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together The New York Small Business Field Account Manager (FAM) is responsible for supporting brokers and General Agents who serve small business customers. This role focuses on building strong relationships with brokers, providing education, and ensuring smooth service delivery to help them meet the needs of their clients. The Field Account Manager acts as a key liaison between brokers and internal teams, addressing escalated service issues, monitoring trends, and delivering solutions that enhance broker satisfaction and retention. The SB Fam role in NY also supports the NY Small Group internal team on projects, reporting and tracking, as needed. Primary Responsibilities: • Serve as a consultative resource for brokers and General Agents, offering guidance and support on products, processes, and service solutions, • Conduct in-person meetings with brokers to review service performance, share insights, and identify opportunities for improvement, • Conduct in-person Open Enrollment meetings in the NY NJ and CT Metro area, • Communicate administrative updates, benefit changes, and wellness program initiatives to internal teams as needed for market distribution, • Partner with internal teams to resolve escalated issues promptly and effectively, • Educate brokers on available tools and resources to streamline their operations and improve their client experience, • Build and maintain strong relationships with brokers and General Agents to drive engagement and loyalty, • Collaborate with Sales Account Executives and other field-based staff to ensure alignment and consistency in service delivery, • Represent UnitedHealthcare positively in the marketplace, demonstrating professionalism and expertise Business Contextual Challenges: • Relationship Building:, • Develop and maintain strong broker and General Agent relationships, • Understand broker needs, prioritize efforts, and provide value-added consultation, • Communication:, • Proactively share updates on programs and initiatives, • Ensure responsiveness and follow-through on commitments, • Healthcare Knowledge:, • Maintain a deep understanding of health plan strategies, market trends, and competitive positioning, • Act as a trusted advisor through in-depth product and industry knowledge, • Product Knowledge:, • Clearly articulate UnitedHealthcare's value proposition for medical and specialty programs, • Promote tools and resources that support broker success You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: • Active insurance license as required by law upon hire. If not licensed, can obtain within 30 days of hire, • 1+ years of health insurance experience, • 1+ years of experience in customer service or managing relationships, • Proficiency in Microsoft Office, • Proven solid presentation skills in both small and large group settings, • Proven advanced analytical and problem-solving skills, • Proven ability to work in a high-pressure, high-volume environment with self-supported attitude Preferred Qualifications: • Experience in Human Resources or medical benefits, • Familiarity with Salesforce products, • Proven ability to work with external partners such as brokers and consultants What We Offer: You'll be rewarded and recognized for your performance in an environment that provides clear direction, opportunities for growth, and development for future roles. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The hourly pay for this role will range $21.63 to $48.08 per hour based on full-time employment. This role is also eligible to receive bonuses based on sales performance. We comply with all minimum wage laws as applicable At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You'll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed. As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)., • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution., • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes., • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally., • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent., • Stay deeply connected to the research community, understanding major trends, and helping set them., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains., • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)., • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience leading or managing research teams. You're excited to mentor, coach and develop talent., • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,000—$393,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure. • Build features for agentic systems including multi-layered guardrails and data retrieval optimization., • Develop data pipelines and machine learning infrastructure to make data sources accessible by agents., • Collaborate with cross-functional teams to execute backend solutions for secure environments., • Participate in customer engagements to understand requirements and deliver technical solutions., • Define requirements with stakeholders and implement features until they are accepted., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. • Manage the full lifecycle of feature development from requirement definition to deployment on classified networks., • Direct the orchestration of asynchronous agent fleets to meet mission requirements., • Lead customer engagements to translate mission needs into technical requirements., • Own the communication with stakeholders to ensure implementation meets defined acceptance criteria., • Conduct technical reviews and identify risks within machine learning infrastructure and model serving., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency. • Define technical strategy for agentic guardrails, explainability, and fleet orchestration., • Ensure system reliability and performance across multiple security classifications and network types., • Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance., • Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members., • Influence the long-term product strategy and technical roadmap for the Federal business unit., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like ___ and ___. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. • Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers, • Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics, • Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines, • Work with massive datasets to develop both generic models as well as fine tune models for specific products, • Build scalable machine learning infrastructure to automate and optimize our ML services, • Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations, • Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment, • Comfortable with light travel (approximately 10%) for customer interaction and team needs, • This role will require an active security clearance or the ability to obtain a security clearance, • Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment, • Solid background in algorithms, data structures, and object-oriented programming, • Strong programing skills in Python, experience in Tensorflow or PyTorch, • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization, • Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments, • Experience with computer vision, generative AI models, large language models, or agentic systems 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 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.

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.

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.

Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. The AI Foundations – AI Software Engineering team builds scalable, state-of-the-art AI architectures designed to transform the software development lifecycle at Capital One. Our goal is to empower internal engineers by developing multi-agent solutions that streamline design, code generation, system migration, and troubleshooting to operate software more effectively at scale.To achieve this, we leverage a cutting-edge stack including LangGraph, MCP, Knowledge Graphs, agent-to-agent protocols, and advanced model customization. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Agentic AI Research * PhD focused on multi-agent systems, autonomous agents, planning, or reinforcement learning * Hands-on experience developing and deploying multi-agent architectures (e.g., using frameworks like LangGraph or specialized agent protocols) * Experience with techniques like tool-use integration, memory management for agents, or verifiable agent behavior * Knowledge Graph Research * PhD focused on knowledge representation and reasoning, graph neural networks (GNNs), or large-scale data integration * Publications in relevant venues (e.g., ISWC, WWW, KDD, Neurips, ICML) on knowledge graph construction, embedding, querying, or reasoning * Experience in designing, implementing, and deploying industrial-scale Knowledge Graph solutions * Demonstrated expertise with graph databases (e.g., Neo4j, JanusGraph) and graph embedding techniques * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As a Staff Agent Post-Training MLRE, you will build out our next-gen Agent RL training platform. You'll build out the platform that will train best-in-class Agents that achieve state of the art results on real enterprise use-cases. You'll integrate cutting edge research into our training stack, enabling MLREs on the Enterprise AI team to deploy use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers., • Research cutting edge algorithms to integrate directly into our training stack., • 5+ years of LLM training in a production environment, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency. The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. Technical Leadership & Vision • Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals., • Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities., • Core Agent Capabilities Development:, • Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises., • Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas., • Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base., • Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth., • Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team., • Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions., • Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience., • 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment., • 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain., • Deep expertise in Generative AI and Large Language Models (LLMs)., • Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale., • Experience with large-scale distributed systems and real-time data processing., • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field., • Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization., • Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms., • Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems., • Experience with vector databases and advanced retrieval techniques., • A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD)., • Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend-focused full-stack engineer to help build AI-powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast-paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high-quality, intuitive user experiences. At Scale, you'll work on a mix of cutting-edge customer-facing AI applications and internal SaaS products. Our engineering team powers projects like TIME's Person of the Year AI experience (), a powerful system that enables businesses to build and deploy AI agents at scale. Whether it's developing interactive AI assistants, enterprise-grade web applications, or refining our core SaaS platform, you'll play a crucial role in shaping how AI integrates into real-world applications. • Build and enhance user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies, • Develop and refine features for Scale's GenAI Platform, empowering businesses to build, deploy, and manage AI-driven agents, • Design, build, and optimize polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind, • Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences, • Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure, • Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility, • 5+ years of experience developing frontend or fullstack applications in a modern tech stack, • Strong proficiency in Next.js, React, TypeScript, and Tailwind, with an eye for building polished, user-friendly interfaces, • Experience working on high-visibility, customer-facing applications and making trade-offs between speed and quality in fast-paced environments, • A passion for AI and experience working on interactive AI applications, agent-based systems, or data-rich web platforms, • Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL, and cloud infrastructure like AWS, Azure, or GCP, • A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life This role is a unique opportunity to shape the future of AI-powered user experiences, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale. If you're excited by the intersection of AI, frontend engineering, and product design, we'd love to hear from you. The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $248,400-$310,500 USD . Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$248,400—$310,500 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Thank you for considering Progyny! The Workforce Real-Time Associate (RTA) plays a critical role within Progyny Operations, serving as the operational command center for the contact center. This roleis responsible formonitoringreal-time performance and taking immediate, data-driven actions to ensure service level agreements, response times, and operational efficiency targets are consistently met. The RTA partners closely with Workforce Planning, Operations Leadership, Supervisors, and Agents to proactively manage intraday staffing, mitigate performance risks, and respond to fluctuations in contact volume-all whilemaintainingan exceptional customer experience across all channels. Whatyou'lldo... * Monitor real-time contact center KPIs, including Service Level, ASA, AHT, Call Volume, Queue Depth, Occupancy, and Abandonment Rate * Track intraday performance across inbound, outbound, and digital channels * Analyze real-time trends toanticipateperformance risks and staffing needs throughout the shift * Execute intraday staffing adjustments to balance staffing capacity and service level performance * Reassign agents across queues or channels in response to volume fluctuations * Manage queue prioritization, skill configuration, and overflow routing strategies * Optimizestaffing coverage by managing auxiliary states and offline activities * Monitor agent schedule adherence in real time and investigate out-of-adherence behavior * Partner with supervisors to address adherence gaps and ensure schedule compliance * Communicate real-time staffing changes and workforce recommendations to leadership and frontline teams * Identifyoperational risks and escalate issues to leadership as they arise * Coordinate escalation processes during high-volume or critical operational events (e.g., Code Red scenarios) * Provide ongoing real-time updates to leadership and operations on queue health and service level performance * Produce intraday performance reports and operational summaries * Document intraday decisions, actions, and escalation events * Monitor forecasted versus actual volume and performance * Recommend short-term staffing strategies tomaintainor recover service levels * Partner with Workforce Planning to improve forecast accuracy and scheduling effectiveness About you... * 2+ years of experience in Workforce Management, Contact Center Operations, or Real-Time Analytics * Strong working knowledge of contact center KPIs (Service Level, ASA, AHT, Occupancy, Adherence, etc.) * Experience working in fast-paced, real-time operations environments * Strong analytical and problem-solving skills with the ability to make sound,timelydecisions * Excellent communication skills and the ability to collaborate across teams * Basicproficiencyin Microsoft Excel * Willingness to work Monday-Friday, 1:00 PM - 10:00 PM EST Please note: This is not a digital nomad or remote international position; candidates must be based in the United States. Progyny is unable to provide visa sponsorship for this position. Candidates must be authorized to work in United States without the need for sponsorship, now or in the future. About Progyny: Progyny (Nasdaq: PGNY) is a global leader in women's health and family building solutions, trusted by the nation's leading employers, health plans and benefit purchasers. We envision a world where everyone can realize dreams of family and ideal health. Our outcomes prove that comprehensive, inclusive and intentionally designed solutions simultaneously benefit employers, patients and physicians. Our benefits solution empowers patients with concierge support, coaching, education, and digital tools;provides access to a premier network of fertility and women's health specialists who use the latest science and technologies; drives optimal clinical outcomes; and reduces healthcare costs. Our mission is toempower healthier, supported journeys through transformative fertility, family building and women's health benefits. Headquartered in New York City, Progyny has been recognized for its leadership and growth as a TIME100 Most Influential Company, CNBC Disruptor 50, Modern Healthcare's Best Places to Work in Healthcare, Forbes' Best Employers, Financial Times Fastest Growing Companies, Inc. 5000, Inc. Power Partners, and Crain's Fast 50 for NYC. For more information, visit ___. Our perks: * Family friendly benefits: Paid family and parental leave, preconception, fertility and family building benefits (including egg freezing, IVF, and adoption support), family and pet care fund, and Parents' Employee Affiliation Group * Menopause and midlife care * Health, dental, vision and life insurance options for employees and family * Free in-person, virtual and text-based mental health and wellness support * Paid time off, including vacation, sick leave, personal days and summer flex time * Company equity * Bonus program * 401(k) plan with company match * Access to on-demand legal and financial advice * Learning and development programs to help you grow professionally and a mentorship program * Company social eventsto include annual volunteer day and donation matching * Flex days (3 days a week in the office) and onsite meals and snacks for employees reporting into our NY office In compliance with New York City's Wage Transparency Law, the hourly salary [wage] range for NYC-based applicants is: $26.44/hour - $28.84/hour. There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. Progyny offers a total compensation package comprised of base salary, cash bonus, and equity. Progyny is proud to be anEqual Opportunity and Affirmative Action employer.We respect and seek to empower each individual and support the diverse cultures, perspectives,skillsand experiences within our workforce. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, marital status, pregnancy or related condition, status as a protected veteran, criminal history consistent with legal requirements or any other basis protected by law. If you are an individual with a disability and need assistance or an accommodation during the recruiting process, please send an e-mail to ___. #LI-BR1

WHO WE ARE: The National Multiple Sclerosis Society mobilizes people and resources to drive research for a cure and to address the challenges of everyone affected by MS. To fulfill this mission, the Society funds cutting-edge research, drives change through advocacy, facilitates professional education, collaborates with MS organizations around the world, and provides programs and services designed to help people with MS and their families move their lives forward. We partner with volunteers to accomplish our work. Staff members engage volunteers through effective and timely communications, facilitating meaningful opportunities, and continually seeking and providing feedback for reciprocal growth and learning. Location Requirements * Remote - Flexible Location * Work is primarily performed remotely, however, when possible and necessary, teams meet in person to conduct the business of the organization and build team relationships. Compensation | Benefits: The estimated hiring compensation range for this role is $57,000 - $67,000. Final offers will be based on the candidate'sgeographic location, consider career experience and may vary from this range due to these and other factors. You will have the opportunity for a highly competitive, comprehensive benefit package that the Society provides to employees. Your benefits include: * considerable Paid Time Off Plan * Paid Holidays * 401k Retirement Savings Plan with Society match * Commuter Benefit Plan Comprehensive Health & Welfare benefits including: * Medical * Dental * Vision * Flex Spending Accounts * Life Insurance * Disability Coverage * Spring Health Membership offering free therapy and professional coaching, as well as additional voluntary benefit offerings. Not to mention, you will join an incredible mission focused team of people! Job Summary: The Manager, Digital Programs, is responsible for planning and executing a slate of high-quality, accessible digital programs that meet the needs of people affected by MS. This role manages the logistics, delivery, and participant experience for virtual programs across multiple platforms, ensuring programs are executed on time, on budget, and with strong engagement. The Manager works closely with colleagues across program content, marketing, and evaluation to support organizational goals. Required: Bilingual communication skills with excellent written and verbal communication, editing, and publicspeaking abilities in English and Spanish. Main Responsibilities: Program Execution * Plan and deliver a portfolio of live and on-demand digital programs. * Manage event logistics, including registration, platform setup, speaker coordination, accessibility accommodations, and technical support. * Ensure all programs meet standards for accuracy, inclusivity, accessibility, health literacy, and participant experience. * Monitor attendance, engagement, and technical performance during live events. Cross-Functional Collaboration * Coordinate with content experts to align program materials with educational and strategic priorities. * Work with marketing teams to support participant recruitment and outreach. * Partner with evaluation teams to collect participant feedback and program metrics. Quality Assurance & Improvement * Track and report key program outcomes, including reach, satisfaction, and engagement. * Identify opportunities to enhance delivery processes and tools. * Apply participant and staff feedback to improve future programs. What We're Looking For: Outstanding candidates will bring strong projectmanagement skills, attention to detail, and excellent technical writing, research, and communication abilities in both English and Spanish. Success in this role requires an understanding of how people learn, familiarity with curriculum design strategies that support health literacy, and the ability to collaborate effectively with a diverse range of professionals. * 2-4 years of experience planning and delivering digital events or programs. * Bachelor's degree in public health, communications, education, or related field. * Strong organizational skills with proven ability to manage multiple projects simultaneously. * Familiarity with virtual platforms (Zoom, Swoogo, YouTube, Facebook Live, or similar). * Excellent communication and collaboration skills. * Commitment to equity and accessibility in program delivery. * Bilingual communication skills with excellent written and verbal communication, editing, and publicspeaking abilities in English and Spanish. Preferred Qualifications * Digital fluency: Skilled in using digital platforms and delivering curriculum through social media, video conferencing, ondemand learning, online tools, and apps. * Curriculum development expertise: Experience designing educational curriculum, delivering presentations, and managing largescale curriculum projects from planning through execution while collaborating with crossfunctional teams. * Instructional design foundation: Coursework in instructional design and strong research skills to identify trends, integrate innovative strategies, and adapt to evolving educational landscapes. * Cultural and accessibility awareness: Experience working with multicultural groups and individuals with disabilities (particularly MS), with knowledge of diversity, equity, inclusion, bias reduction, generational differences, and health literacy. * Professional effectiveness: Demonstrates independence, emotional intelligence, diplomacy, resilience, and the ability to proactively navigate challenges with professional courage. * Innovation and change leadership: Proven track record of creativity, continuous learning, and serving as a positive, solutionfocused change agent capable of leading teams through uncertainty. * Relationship building: Strong ability to develop and manage internal, external, and digital relationships effectively. We're committed to supporting the growth of every employee through a structured and transparent approach to career development. We use Talent Portraits to define clear expectations, development opportunities, and advancement paths - whether you're growing as a people leader or deepening your expertise as an individual contributor. Each role is thoughtfully placed within one of these pathways (Leadership or Partner) to help you understand how it fits into our broader organization and your potential career journey. This position is classified as Partner - Professional. The National MS Society is committed to building a diverse and inclusive workforce. We strive to create a workforce that reflects the communities we serve and where everyone feels empowered to bring their authentic selves to work. We need you and your unique talents and perspectives to help us write the last chapter on MS. APPLICATION INSTRUCTIONS: We appreciate your consideration of our job opportunities and strive to make it as effortless as possible to apply for our positions. With only a few required sections and the option to use our resume parsing tool, we aim to streamline the application experience, saving you time and effort. Additionally, if you wish to include a cover letter with your application, please feel free to attach it along with your resume, and any other documents required, to the Resume/CV document upload section at the bottom of the My Experience page. We appreciate your interest in joining our team and look forward to receiving your application! Important: You will not be able to modify your application after you submit it. The "My Experience" page is the only opportunity to add your cover letter and supporting document attachments. If you experience any trouble submitting your materials, please check out our ___.

Be part of an amazing story Macy's is more than just a store. We're a story. One that's captured the hearts and minds of America for more than 160 years. A story about innovations and traditions...about inspiring stores and irresistible products...about the excitement of the Macy's 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We've been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work. Job Overview The Buyer drives omnichannel sales, margin, turn, and growth in their area of responsibility and supports total company objectives. They manage pre-season and in-season assortment building, including assortment selection and assortment driver strategies. The Buyer develops and executes a strategic vision with a progressive, customer-centric approach, delivering on sales and profit objectives. Building trust with their teams and key collaborators is fundamental. Demonstrating curiosity in a broader and more complex business environment, transcending the traditional competitive landscape, is crucial to re-engaging customers. Other duties are performed as assigned. The Buyer is known as a trusted, collaborative, and results-oriented leader, business partner, and change agent who leads through influence, possessing professional maturity and industry credibility. The ideal candidate is comfortable and effective leading through significant complexity, quickly evaluating and sun-setting legacy approaches that no longer align with the strategy. They are known for both vision and an equally strong orientation for speed. What You Will Do • Lead and manage the development of the assortment, including assortment selection and strategies, to support the high-level assortment vision and maximize sales, margin, and turnover., • Develop and maintain strong relationships with vendors., • Develop a pre-season assortment vision aligned with company priorities and insights from Digital, Private Brands, and Planning Director counterparts., • Evaluate upcoming season trends in partnership with Trend Research and Forecasting and key vendors, recommending key trends and opportunities., • Partner with Financial Planning and Merchandise Planning to ensure department-level financial targets support assortment strategy., • Collaborate with Private Brands and Merchandise Planning to develop assortment vision guiding product development strategy, color/sizing opportunities, testing new products/categories, and alignment on marketing/digital strategy., • Make in-season changes for the department and vendors based on sales, margin, and turnover forecasts from Financial Planning., • Present ROF strategy and problem resolution plan in partnership with Financial Planning., • Review category, class, and item performance analysis by Associate and Assistant Buyers, determining in-season item-level changes and reorder opportunities., • Maintain industry presence to foster connections, identify new business opportunities, and generate ideas for Macy's. Represent and support the Macy's brand while engaging in industry activities., • Conduct regular meetings with vendors to discuss current business and plan for the future., • Cultivate trust and collaborative relationships with the supplier community, in collaboration with Trend Research and Forecasting., • Establish pre-season pricing strategy with input from the Digital Director and partner with the Pricing team on in-season adjustments., • Collaborate with the Merchandise Marketing team and Digital Director to set content and promotional strategies, including FOB events., • Coordinate vendor marketing and co-op requests, collaborating with the Merchandise Marketing team and receiving input from the Digital Director., • Develop and lead pre-season and in-season merchandising vision and strategy to create a seamless shopping experience for customers both in stores and online., • Maximize sales, margin, and turnover by establishing and communicating a store merchandising strategy that optimizes presentation and salability. Communication Skills: Proficient in open and continuous communication, adept at keeping others informed, and capable of presenting information clearly and concisely. Leadership Abilities: Excellent leadership skills, with a dynamic, transformational approach and a passion for driving results. Ability to lead teams effectively in a changing and ambiguous business environment. A dynamic and transformational leader passionate about their work, inspiring others and advocating for talent within the organization. Interpersonal Skills: Strong interpersonal skills, facilitating collaboration across functional lines and at various organizational levels. Creative and Strategic Thinking: Ability to think creatively, strategically, and technically, enabling innovative solutions to business challenges. Technical Proficiency: Proficiency in MS Office computer programs is essential for the role. Team Development: Track record of developing diverse and forward-thinking teams, fostering talent with a company-wide mindset and prioritizing colleague and business needs. Skilled at building engaged and highly functional teams and partnerships, cultivating a culture that encourages fresh thinking and connectedness at all organizational levels. Empowerment and Independence: Ability to maintain focus on vision and outcomes, empowering team members to make decisions independently without traditional hierarchical approval. Collaborative Approach: Collaborative and supportive style with a strong ability to establish trust and build relationships across all levels and functions of the organization. Resilience and Energy: Resilient, tenacious, and high-energy, capable of bouncing back rapidly from adversity and driving forward momentum in challenging situations. Who You Are • Candidates with a bachelor's degree or equivalent work experience in a related field are encouraged to apply. 5+ years of related experience., • Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision. Join a team where work is as rewarding as it is fun! We offer a dynamic, inclusive environment with competitive pay and benefits. Enjoy comprehensive health and wellness coverage and a 401(k) match to invest in your future. Prioritize your well-being with paid time off and eight paid holidays. Grow your career with continuous learning and leadership development. Plus, build community by joining one of our Colleague Resource Groups and make a difference through our volunteer opportunities. Some additional benefits we offer include: • Merchandise discounts, • Performance-based incentives, • Annual merit review, • Employee Assistance Program with mental health counseling and legal/financial advice About Us This is a great time to join Macy's! Whether you're helping a customer find the perfect gift, streamlining operations in one of our distribution centers, enhancing our online shopping experience, buying in-style and on-trend merchandise to outfit our customers, or designing a balloon for the Thanksgiving Day Parade, we offer unique opportunities to be part of some of the most memorable moments in people's lives. Join us and help write the next chapter in our story - Apply Today! This job description is not all-inclusive. Macy's, Inc. reserves the right to amend this job description at any time. Macy's, Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment. MERCH00

• Job Type: Officer of Administration, • Regular/Temporary: Regular, • Hours Per Week: 35, • Building: Lerner Hall Under the leadership of the Director of Sexual Violence Response Direct Services, the Survivor Advocate will provide confidential and comprehensive survivor-focused services, resources and trauma-informed care to survivors of gender and power-based violence. This will include direct crisis intervention, crisis counseling, advocacy and support services; including explaining and exploring survivor's rights and options, in accordance with federal, state and local laws and regulations (civil and criminal), and campus policies. The incumbent will serve as a general resource, advocate and referral agent for students seeking sexual assault, intimate partner violence and stalking information and services. Additionally, the Survivor Advocate will provide round-the-clock, on-call crisis support year-round in a shared rotation amongst the direct services team and coordinate campus and community resources to support students who have experienced sexual assault, intimate partner violence and related abuse. The Survivor Advocate will collaborate with other departmental colleagues, on and off campus to support the success of SVR activities including community education, outreach efforts and special events. Responsibilities Advocacy, support and case management: 80% • Provide effective and practical crisis intervention, immediate aid, options, referrals, and information, psychoeducation, and advocacy and support services to primary and secondary survivors of gender and power-based violence., • Provide emergency assistance in the immediate aftermath of violence, abuse or traumatic experience; which includes but not limited to short-term support and related follow up services to alleviate safety and trauma associated with the survivor's experience., • Accompany survivors as needed to hospitals, court, police precincts, hearings/adjudications on campus, etc., to provide support., • Maintain confidentiality under New York Public Health Law, and maintain a confidential database (CRISIS/Confidential Response Intervention and Support Information System) and accurate records of services and referrals to ensure comprehensive quality care for survivors., • Manage accurate statistical data, which reflect various aspects of victim/survivor service provision and compliance. Must adhere to strict confidentiality when working with survivors, • Share responsibility for rotating 24-hour on-call shifts for the purpose of providing crisis intervention, options, advocacy, medical and legal information, accompaniment, and immediate safety to students who identify as survivors of trauma, violence or abuse. In partnership with the Direct Services staff, maintain on-call calendar., • As part of the 24-hour on-call rotation, the Survivor Advocate is required to report to campus, hospital emergency departments, law enforcement agencies, court houses, etc. on short notice for extended periods of time in response to emergency and critical incidents related to students' experiences of sexual assault, intimate partner violence, stalking, and abuse., • Responsible for on-going individual case management, assessment to identify both immediate and long-term needs, rights, options and appropriate referrals for survivors., • Provide criminal/civil justice advocacy and support services including orientation and accompaniment for the making of police reports, forensic medical exams, interviews, court filings and hearings (including injunctions/orders of protection), and all facets of the trial process (including depositions, trial, victim impact statements, sentencing, release procedures). Additionally, will provide education to survivors on their rights and responsibilities and linkage to Victims Compensation, VINE (Victims Information Notification Everyday), Office of Victim Services (OVS), etc., • Coordinate cases, serving as a liaison between the survivor, law enforcement, public safety, Title IX staff, social services, community-based organizations, professors, other campus departments and officials, employers, landlords, and other agencies., • Provide consultation as needed to faculty, staff and administration regarding individual students, policies and procedures. Additionally, collaborate with other departments and off campus agencies to streamline access to both emergency and non-emergency resources., • Regularly participate in case review meetings and one to one meeting with supervisor to discuss case status., • In collaboration with direct services leadership, facilitate advisement sessions with students who actively participate in the 24/7 Helpline/On-Call services (volunteers, casual employees, etc.)., • Ensure cultural competence, and respond effectively in serving the needs of a diverse undergraduate and graduate student population., • Participate in required trainings and continuing education to maintain certification., • In conjunction with direct services leadership, assists with development of annual reports, memos, proposals, papers, and presentation materials. Assist in preparing administrative reports documenting SVR data for predicting resource needs, and prevention and outreach efforts., • In collaboration with other departmental colleagues, support the success of implementing campus programming such as Relationship Violence Awareness Month (RVAM), Sexual Assault Awareness Month (SAAM), Denim Day, consent campaigns, and other educational and outreach activities (NSOP, Residential Life/Housing, etc.). Assist the SVR Training and Prevention team with increasing the campus community's capacity to identify abusive behaviors early and to intervene safely. Minimum Qualifications • Bachelor's degree., • Minimum 3 years in victim/survivor advocacy, crisis intervention, crisis counseling, and maintaining the highest level of confidentiality strongly preferred., • Training in sexual assault and intimate partner violence., • Demonstrated knowledge of support and reporting options for victims/survivors, including emergency department protocol and criminal justice system., • Experience in providing effective crisis intervention, advocacy, referrals, and psychoeducation to primary and secondary survivors of violence, crime or abuse., • Demonstrated ability to remain calm and respond to individuals in crisis and emergency situations; and handle graphic and sensitive situations., • Ability to work independently and make decisions in accordance with established policies and regulations., • Requires excellent written and oral communication skills., • Must be well organized and detail oriented, with ability to multi-task and prioritize competing demands., • Demonstrated ability to work in multi-racial environment with commitment to social justice., • Master's or advanced degree., • Familiarity with on and off campus support, reporting/adjudication options and NYC service providers., • Experience working in a complex organization and an understanding of larger institutional goals and objectives., • Knowledge of the Department of Education's Office of Civil Rights/Title IX, VAWA/Clery Act, The White House Task Force to Protect Students from Sexual Assault, and law enforcement and court procedures (criminal/civil)., • Ability to foster positive and productive relationships with all campus constituencies including students, administrators, faculty, and staff. WORKING HOURS Required to participate in a 24-hour, 7 days per week, and year round on-call rotation. Frequent evening and weekend hours required. Normal Business Hours - In general, 9:00 a.m. - 6:00 p.m. ET Monday-Friday. After-Hours - Defined as 5:00 p.m. - 9:00 a.m. ET Monday-Friday, and 12:00 a.m. - 11:59 p.m. ET holidays and weekends. On-Call - Being available during scheduled rotation 24/7 for crisis counseling calls and in-person response. In cases where on-site/in-person support is required, staff is expected to respond within a reasonable period of time. ADA COMPLIANCE • Physical Ability: tasks involve extended periods at work station or keyboard. Tasks involve commuting primarily, but not exclusively in Manhattan at various hours of the night or day. Tasks involve working a flexible schedule that will include evenings, weekends, and holidays., • Sensory Requirements: verbal and written communication is required. Tasks may involve exposure via sight and smell of bodily fluids, evidence bearing clothing and visible injuries. Tasks involve listening and responding to intimate physical knowledge of violence, crime or abuse against a student. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

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.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As MLRE on the Data Foundation team, you'll work on cutting edge research to define the data flywheel that makes the whole machine move. This includes research around synthetic environments from task definitions, building agents for trace analysis, and contributing to a cutting edge framework that automatically hill-climbs agent-building from an eval set. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Build synthetic data pipelines to generate enterprise environments to use for RL post-training, • Create agents to convert traces from production into actionable insights to use to improve agents, • Contribute to our agent building product which can construct other agents using coding agents + proprietary algorithms, • 3+ years of building with LLMs in a production environment, • Clear experiences with constructing high quality data to use to improve an LLM/Agent, • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview Serves as a liaison between the company and agents and acts as a relationship manager for our agents, regional underwriting team and corporate departments. Assess the strengths and weaknesses of agents and assists them in achieving a mutual goal of profitable growth in both volume and policy count. Ensures that agents are familiar with and use Selective's initiatives, products, policies, procedures and services. All job duties and responsibilities must be carried out in compliance with applicable legal and regulatory requirements. Responsibilities • Develop an agency force that pre-qualifies accounts, in-house rates using CLAS, processing small business using One & Done and/or the Service Center, and recognizes the value of the AMS position to help them write new profitable business and achieve agency goals., • Makes consistent underwriting decisions, adheres to company pricing philosophies and promotes ease of doing business with Selective., • Monitors agency results and follows up with agent both as to growth/profitability/share of wallet and compliance with company's initiatives, procedures and policies., • Develop professional working relationship with agent, regional underwriting and claim teams and corporate departments. Assists in directing BSU technical specialists for regional ITS training of agency personnel., • Keeps two-way communication between agent and company continuously open and viable and encourages agent usage of all Selective systems, including CLAS, PLUS and e-Select., • Performs inspections as determined by Loss Control Guide. Makes risk improvement or correction of deficiency recommendations and promptly follows up on same, documenting the file accordingly., • Stays alert for and advise company of any industry information, new ideas, products, or changes in other carrier philosophies that could positively or adversely affect Selective., • Audit agents One & Done book of business and provide quality assurance feedback to agent and underwriting team., • Meet regularly and frequently with CMS, Loss Control Rep, Bond Rep, Personal Lines Rep (if applicable) to discuss agency opportunities for greater growth and profit. Knowledge and Requirements • Must be results oriented with a proven track record in establishing, prioritizing and achieving business goals. Demonstrated superior communication, negotiation & presentation skills. Must be a high achiever with superior organizational skills who is self-motivated, pro-active, flexible, and able to work independently, from a remote location. Must be able to maximize technology to ensure high productivity (Must be proficient with Microsoft Word, Excel, PowerPoint and all internal business related software). Must have valid state-issued driver's license in good standing and be able to drive an automobile. Education and Experience • College degree preferred with 5+ years underwriting, marketing or field underwriting experience., • The following experience is preferred:, • 3 years Agency Management, rating Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $101,000.00 - USD $151,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Be part of an amazing story Macy's is more than just a store. We're a story. One that's captured the hearts and minds of America for more than 160 years. A story about innovations and traditions...about inspiring stores and irresistible products...about the excitement of the Macy's 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We've been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work. Job Overview The Buyer drives omnichannel sales, margin, turn, and growth in their area of responsibility and supports total company objectives. They manage pre-season and in-season assortment building, including assortment selection and assortment driver strategies. The Buyer develops and executes a strategic vision with a progressive, customer-centric approach, delivering on sales and profit objectives. Building trust with their teams and key collaborators is fundamental. Demonstrating curiosity in a broader and more complex business environment, transcending the traditional competitive landscape, is crucial to re-engaging customers. Other duties are performed as assigned. The Buyer is known as a trusted, collaborative, and results-oriented leader, business partner, and change agent who leads through influence, possessing professional maturity and industry credibility. The ideal candidate is comfortable and effective leading through significant complexity, quickly evaluating and sun-setting legacy approaches that no longer align with the strategy. They are known for both vision and an equally strong orientation for speed. What You Will Do • Lead and manage the development of the assortment, including assortment selection and strategies, to support the high-level assortment vision and maximize sales, margin, and turnover., • Develop and maintain strong relationships with vendors., • Develop a pre-season assortment vision aligned with company priorities and insights from Digital, Private Brands, and Planning Director counterparts., • Evaluate upcoming season trends in partnership with Trend Research and Forecasting and key vendors, recommending key trends and opportunities., • Partner with Financial Planning and Merchandise Planning to ensure department-level financial targets support assortment strategy., • Collaborate with Private Brands and Merchandise Planning to develop assortment vision guiding product development strategy, color/sizing opportunities, testing new products/categories, and alignment on marketing/digital strategy., • Make in-season changes for the department and vendors based on sales, margin, and turnover forecasts from Financial Planning., • Present ROF strategy and problem resolution plan in partnership with Financial Planning., • Review category, class, and item performance analysis by Associate and Assistant Buyers, determining in-season item-level changes and reorder opportunities., • Maintain industry presence to foster connections, identify new business opportunities, and generate ideas for Macy's. Represent and support the Macy's brand while engaging in industry activities., • Conduct regular meetings with vendors to discuss current business and plan for the future., • Cultivate trust and collaborative relationships with the supplier community, in collaboration with Trend Research and Forecasting., • Establish pre-season pricing strategy with input from the Digital Director and partner with the Pricing team on in-season adjustments., • Collaborate with the Merchandise Marketing team and Digital Director to set content and promotional strategies, including FOB events., • Coordinate vendor marketing and co-op requests, collaborating with the Merchandise Marketing team and receiving input from the Digital Director., • Develop and lead pre-season and in-season merchandising vision and strategy to create a seamless shopping experience for customers both in stores and online., • Maximize sales, margin, and turnover by establishing and communicating a store merchandising strategy that optimizes presentation and salability. Communication Skills: Proficient in open and continuous communication, adept at keeping others informed, and capable of presenting information clearly and concisely. Leadership Abilities: Excellent leadership skills, with a dynamic, transformational approach and a passion for driving results. Ability to lead teams effectively in a changing and ambiguous business environment. A dynamic and transformational leader passionate about their work, inspiring others and advocating for talent within the organization. Interpersonal Skills: Strong interpersonal skills, facilitating collaboration across functional lines and at various organizational levels. Creative and Strategic Thinking: Ability to think creatively, strategically, and technically, enabling innovative solutions to business challenges. Technical Proficiency: Proficiency in MS Office computer programs is essential for the role. Team Development: Track record of developing diverse and forward-thinking teams, fostering talent with a company-wide mindset and prioritizing colleague and business needs. Skilled at building engaged and highly functional teams and partnerships, cultivating a culture that encourages fresh thinking and connectedness at all organizational levels. Empowerment and Independence: Ability to maintain focus on vision and outcomes, empowering team members to make decisions independently without traditional hierarchical approval. Collaborative Approach: Collaborative and supportive style with a strong ability to establish trust and build relationships across all levels and functions of the organization. Resilience and Energy: Resilient, tenacious, and high-energy, capable of bouncing back rapidly from adversity and driving forward momentum in challenging situations. Who You Are • Candidates with a bachelor's degree or equivalent work experience in a related field are encouraged to apply. 5+ years of related experience., • Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision. Join a team where work is as rewarding as it is fun! We offer a dynamic, inclusive environment with competitive pay and benefits. Enjoy comprehensive health and wellness coverage and a 401(k) match to invest in your future. Prioritize your well-being with paid time off and eight paid holidays. Grow your career with continuous learning and leadership development. Plus, build community by joining one of our Colleague Resource Groups and make a difference through our volunteer opportunities. Some additional benefits we offer include: • Merchandise discounts, • Performance-based incentives, • Annual merit review, • Employee Assistance Program with mental health counseling and legal/financial advice About Us This is a great time to join Macy's! Whether you're helping a customer find the perfect gift, streamlining operations in one of our distribution centers, enhancing our online shopping experience, buying in-style and on-trend merchandise to outfit our customers, or designing a balloon for the Thanksgiving Day Parade, we offer unique opportunities to be part of some of the most memorable moments in people's lives. Join us and help write the next chapter in our story - Apply Today! This job description is not all-inclusive. Macy's, Inc. reserves the right to amend this job description at any time. Macy's, Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment. MERCH00

Summary of Position • Drive a team of navigators who are responsible for providing a superior member experience., • Ensure that the team executes on all elements required to maximize member satisfaction, with a focus on increasing retention, and coordinating member needs from areas such as Quality and Care Management; member needs include closing care gaps, getting HRAs completed, enrolling in care management programs and improving overall satisfaction with EmblemHealth. Collaborate with Supervisors & Managers across the organization to enable effective Member HUB operations., • Responsible to ensure the team's performance is optimized for measured business performance based on program success metrics such as care gaps closed, Care Management program enrollments etc., • Coordinate with Workforce Management to maintain schedules and staffing ratios and balance against outreach needs; ensure compliance with policy and procedures; manage performance of Member HUB Navigators; ensure high level intake of outreach needs and prioritize/delegate as needed, • Drive continuous improvement efforts including the development of insights and further actions to improve member experience, satisfaction, and retention., • Manage Campaign intake, lead record assignments and prioritization of work to ensure successful campaign outcome. Principal Accountabilities • Responsible for daily management of all aspects of Member HUB Navigator's work including live guidance as needed for calls, and ongoing mentoring / coaching activities. Manage the Member HUB Navigators to prioritize their workloads and projects that are aligned with strategic objectives and established KPIs, • Provide daily oversight of staff including leveraging a qualitative and quantitative approach towards coaching and mentoring, handling escalated calls and answering key questions from staff., • Responsible for effectively communicating policies and procedures to staff; ensure that all policies and procedures are adhered to, and that the needs of members and prospective members are appropriately addressed., • Campaign Management oversight: conduct review and intake of outreach needs; prioritize, assign, and report on outreach., • Responsible for analyzing and synthesizing data such as operational measures including after call survey results and call sentiment scores, efficacy of outreach based on established KPIs and agent performance, into meaningful insights, • Develop recommendations for process improvements, training guidance, member education, communications etc., • Partner with enterprise teams for bi-directional sharing of information on ongoing outreach and discuss upcoming needs / calibration of outreach; work closely with Care Management, Quality, Sales, Marketing, and other enterprise staff to optimize member experience, • 4 - 6+ years' relevant, professional work experience., • Experience in positions designed to drive member experience and root cause analysis., • Bachelor's Degree, preferably in business, healthcare, or social services related field. Additional experience/specialized training may be considered in lieu of educational requirements., • 3+ years' supervisory experience., • 2+ years' health care or managed care related experience., • Excellent leadership skills and the ability to influence line management decisions with data driven facts., • Strong problem solving and analytical skills to be applied to a wide array of business problems and challenges., • Solid change leadership, facilitation, oral and written communication, and presentation skills., • Ability to deal with ambiguity and to interact with all levels of management., • Self-starter and independent thinker., • Strategic and tactical perspective on how to significantly improve operational performance., • Ability to manage frontline staff on a day-to-day basis., • Highly proficient with MS Office (Word, Excel, PowerPoint, Outlook, Teams, etc.)., • Working knowledge of analysis tools and CRM systems. Additional Information, • Requisition ID: 1000003096, • Hiring Range: $68,040-$118,800

Description Our Culture & Team We're not just building AI-we're building human-in-the-loop solutions within a collaborative, patient first environment: • Pre-sales & Strategic Advisory, • Collaborate with commercial advisory consulting teams to identify new opportunities, tailor solutions to client needs, and accelerate adoption of our data products., • Support pre-sales activities, including RFP responses, solution demos, stakeholder workshops, and technical presentations to prospects and existing clients., • Present architectural strategies, tenets and product/architecture roadmaps to senior pharmaceutical executives, aligning solutions with budgetary constraints, business and commercial goals., • Develop data architecture designs, data governance/ data architecture frameworks, technical approaches, technical scope and partner with engineers on building accelerators, MVPs and demos., • Solution Architecture & Design, • Define end to end architecture for agentic AI systems (planning, memory, reasoning, multi-agent orchestration), • Integrate with existing pharma platforms: EHRs, CRMs, clinical trial systems, patient portals, ensuring compliance with standards (FHIR, GxP, HIPAA, FAIR), • Establish guardrails, escalation pathways, observability, and LLMOps/AgenticOps best practices, • Technical Leadership & Implementation, • Prototype and oversee design, build and deployment of agentic AI pilots (e.g. Personalized Patient Outreach, Medication Adherence & Side Effect Management, Prediction Model for disease progression), • Collaborate with cross-functional teams-product, engineering, MLOps-to operationalize data pipelines, microservices, and agent orchestration layers., • Ensure robust MLOps pipelines with model monitoring, drift detection, and responsible AI governance., • Client Engagement & Thought Leadership, • Serve as trusted technical advisor to pharma stakeholders (VP, SVP Digital Health, Patient Engagement) during pre- and post-sales., • Present architecture blueprints, ROI frameworks, risk assessments, and compliance strategies., • Capture feedback and collaborate with Life Sciences Commercial teams (i.e. Value & Access, Sales Operations, Brand Strategy, Digital Health, Patient Services) to evolve scalable agentic solutions.QualificationsRequired, • 7+ years as a Solution Architect/Consultant creating AI-powered systems, with 3+ years experience in generative agentic AI., • 5+ years in healthcare or pharma, implementing enterprise systems (EHR, clinical workflows, patient applications)., • 3+ years Consulting Experience, • 3+ years carrying a minimum of $1 Million Sales Quota, • Strong AI architecture & deployment know-how:, • Microservices, REST APIs, CI/CD data pipelines, cloud platforms, • MCP, RAG, AgentDNS, A2A Protocol, AI workflow automation, AI Memory Management, LLM Evaluation & Observability, Autonomous Planning & Reasoning, Custom Embeddings & Vector Search, • Skilled in Python, prompt engineering, LLM integration, and tool-based agent frameworks (e.g. LangChain, Semantic Kernel), • Expertise in standards: HIPAA, FHIR/HL7, GxP, FAIR.Preferred, • Hands-on experience with agentic frameworks and multi-agent architectures, • Exposure to MLOps/AgenticOps for production LLM systems., • Background with patient engagement tools or digital companion deployments, • Pharma domain expertise: clinical trials, pharmacovigilance, patient support services., • Outstanding communicator-able to engage C-level pharma executives. The annual base salary for this position ranges from $229,000 to $270,000. The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. In addition, some positions may include eligibility to earn commissions/bonus based on company and / or individual performance. At Syneos Health, we are dedicated to building a diverse, inclusive and authentic workplace. If your past experience doesn't align perfectly, we encourage you to apply anyway. At times, we will consider transferable skills from previous roles. We also encourage you to join our ___ to stay connected to additional career opportunities. Why Syneos Health? Here, you're a part of the big picture. You will collaborate with colleagues across clinical and commercial disciplines to guide premarket development through post-market commercial strategy. Every project is a chance to solve a new challenge, learn from your colleagues, and advance your career. The diversification and breadth of our new and existing partnerships create a multitude of career paths and employment opportunities. Join our game-changing, global company dedicated to creating better, smarter, faster ways to get biopharmaceutical therapies to patients. Experience the thrill of knowing that your everyday efforts are contributing to improving patients' lives around the world. Work Here Matters Everywhere | How are you inspired to change lives? Syneos Health companies are affirmative action/equal opportunity employers (Minorities/Females/Veterans/Disabled) Syneos Health has a voluntary COVID-19 vaccination policy. We strongly encourage all employees to be fully vaccinated. Additionally, certain local governments or Syneos Health customers may have vaccine requirements that apply to some of our employees. These employees are required to submit proof of vaccination to Syneos Health and maintain compliance with these requirements. At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position will include a competitive compensation package, Health benefits to include Medical, Dental and Vision, Company match 401k, flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos Health complies with all applicable federal, state, and municipal paid sick time requirements.

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description As the Account Relationship Manager your role will be to become a retail product and participation program expert that aids existing indirect F&I product agent and sellers in maximizing all Allstate Dealer Services (ADS) product and program participation. The selected incumbent would focus on account retention by providing both internal and external training and sales support. And they will also be the primary point of contact for ADS supporting independent agents and sellers to maximize production and profits with all ADS programs. The opportunity will include field travel which could be 50% of the time in the market. A company vehicle would be provided for field travel. This market is northern New Jersey, New England and the Mid-Atlantic states. Key Responsibilities • Serve as the primary relationship manager for all producing independent agents and dealers in assigned territory, • Communicate Area Relationship Manager (ARM) success stories to Regional Sales Manager (RSM) and Sales Channel Leader, • Monitor the independent agent or dealer production and opportunities in existing accounts and lead overall sales growth strategy for assigned territory, • Develop positive and productive independent agent and dealer relationships to attain ADS goals, • Directly support all ADS product sales, underwriting, contract processing, cancellations, claims and maximizing program profitability, • Participate in the registration for and delivery of external training workshops, seminars and classes; work directly with Sr. Instructors to ensure competency of entire regional teams in delivering training to established certification standards, • Coordinate training and support activity for assigned Finance and Insurance Specialist; work directly with FIS in developing the skills necessary for future ARM opportunity, • Execute all ADS processes and strategies in accordance with ADS best practices Education • 4 year Bachelors Degree (Preferred) Experience • 5 or more years of related experience (Preferred), • Finance & insurance industry experience (Preferred) Education & Experience (in lieu) • In lieu of the above education requirements, an equivalent combination of education and experience may be considered. #LI-DM1 Skills Business Influence, Business Prospecting, Insurance Industry, Negotiation, Product Sales, Sales Channels Compensation Compensation offered for this role is 98,620.00 - 135,602.50 annually and is based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation. Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact. Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs. To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.