Agent jobs in Bayonne, New JerseyCreate job alerts

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow. Director/General Manager of Class Creator Description/Background: Pigeonhole Software - Class Creator (CC) is a proven web-based software solution that delivers automated class design and student wellbeing solutions to customers in more than 20 countries – but predominantly in Australia and the USA. Our tailor-made software automates manual tasks performed by teachers, freeing them to focus on improving school and student outcomes. Class Creator is the trusted solution of choice in over 1,500 schools around the world. Summary of the Position The Director/General Manager (DGM), Class Creator carries dual accountability of leading the CC business and carrying the responsibility for increasing revenue growth through new sales and upsell to existing clients in both established territory and breaking into new markets. CC has scaled rapidly in recent years, and the DGM will be expected to accelerate that growth in all target markets but particularly in the USA. As the most senior member and leader of the CC team, the role carries a broad remit across multiple core functions. The DGM will manage the core operations team based out of Australia which includes the development resources, (2) Developers + (2) offshore contractors, (1) Operations Coordinator, (1) AUS based Sales Representative and (1) Marketing Manager, as well as the US based team comprised of the (2) Customer Success Managers and the (2) Sales Representatives. The DGM will work closely with the AUS Finance team and AUS Marketing Director. The DGM manages various sales teams such as outsides sales, inside sales, channel sales or third party sales responsible for market penetration through campaigns that deliver incremental revenue from new and/or existing clients. Defines and communicates the sales process and the sales effectiveness drivers. Leads and fosters co-operation and collaboration with other functions within the business to maximize efficiency to provide an integrated response to clients' needs. Setting/Executing Strategy and Financial Results Create a vision for the CC Team, and to inspire and lead the broader organization to buy-in, work toward and achieve that vision. Design and execute pragmatic revenue growth plans across existing and new markets. Carry accountability for achieving allocated revenue growth targets across all assigned customer types and geographies. Manage individual performance against plans and report on performance to the leadership team at a team and individual level. Setting/Executing Sales and Marketing Strategy Develop and provide effective consultative sales support to new sales and client services team. Designs pricing models for licensing fees, annual fees, professional service fees, and value added services. Packages new products and services for cross sale to existing clients. Monitors revenue generation in order to secure delivery of financial objectives established in the annual budget. Secures invoicing and revenue recognition. Identifies, negotiates and secures potential business partnerships in order to enhance products and services to new and existing customers. Provides the oversight and control over all aspects of the sales process including qualification criteria and the allocation of leads and opportunities to sales Reps, solution design guidance and approval, content of final response, approval on final customer prices and all legal and commercial negotiation. Maintains accurate pipelines to ensure revenue forecasts are properly reported. Directs campaigns to drive market penetration. Sets the target client profile and metrics to be met by the sales team for the campaign. Approves campaign budget and agent activities and reviews results to determine further investment decisions into that market. Evaluates and assesses industry trends and specific strategies being implemented by key competitors. Works with product and other key internal stakeholders to create market competitive offerings and specific sales strategy to win business from the competition. Executing for Results Set and achieve clear and challenging goals while committing the organization to improved performance; tenacious and accountable in driving results. Provides timely and accurate commercial reporting on business performance, and is capable of presenting and explaining data succinctly and clearly to a diverse range of senior stakeholders. Must be prepared to operate across geographies, including spending extended periods of time in-market both domestically (Australia) and internationally (USA, Canada and potentially other prospective international markets). Work collaboratively across all parts of CC and the broader regional Software business to drive team and organisational success. Minimum Skills and Experience Bachelors Degree from an accredited university and relevant experience in a related field is required Experience in lieu of a degree may be considered, which is typically a minimum 8-10 years in a related profession, including a minimum of 5-6 years' experience in a managerial position Excellent problem solving, troubleshooting, consultation and negotiation skills with the ability to engage with all stakeholder levels Proficient written and verbal communications along with excellent presentation skills, attention to detail, timelines and metrics. To perform this job successfully an individual should have experience with web-based systems and corporate tools such as Microsoft 365, Oracle, Salesforce, etc Preferred Qualifications Masters Degree in a related field Related field of study from an accredited university A recognized tertiary qualification in an appropriate discipline (preferably education). Prior 3-5+ years’ experience in a similar role. Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact ___.

Responsibilities: • Prepares and administers anesthetic agents to patients to desensitize them to permit the performance of medical or surgical procedures., • Performs pre-anesthesia evaluation of the patient to ascertain physiological and psychological factors that influence the selection of the anesthetic agent and the formulation of the plan of anesthetic management., • Monitors the patient in the operating room to maintain the patient in a homeostatic condition and to assure that unnecessary injuries are not inflicted on the patient., • Records anesthetic information on the anesthesia chart to provide a permanent record necessary for the care of the patient, to provide material for teaching, for study, and to establish a medical-legal record., • Provides clinical supervision or guidance of nurse anesthesia students, paramedical, and medical students to contribute to their clinical training., • Responds to emergencies., • Certification as a Nurse Anesthetist (CRNA)., • Current New York Licensure as a Registered Nurse and APRN., • Current American Association of Nurse Anesthetists (AANA) certification., • BLS, ACLS, and/or other specialty certifications as required by the department., • A minimum of 6 months of experience in anesthetizing pediatric patients is desirable., • Competency in pediatric airway device placement and vascular access., • Experience in critical and acute care areas, especially pediatric or neonatal., • Familiarity with EKG, arterial, central venous, and pulmonary artery pressure monitoring., • Skilled in respiratory management and blood gas analysis. DirectShifts is an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. Your Right to Work In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

NOW HIRING REALTORS SIM REI REAL ESTATE Downtown Office Location WHY JOIN US? ✔ Complete Training & Mentorship ✔ Supportive Office Environment ✔ Community Events & Networking ✔ In-House Mortgage Company ✔ Profit Share Opportunities ✔ Business Cards & Startup Support GET IN ON THE GROUND FLOOR Be part of a growing brokerage built for agent success. NOW ACCEPTING NEW & EXPERIENCED AGENTS 352-910-4984 Leah Laboy

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

Company Description Closai's open infrastructure connects personal purchase history to the retail ecosystem, enabling a new era of commerce. Our proprietary Closetization™ system understands what consumers already own and uses that intelligence to power personalized shopping, agentic commerce, and next-generation retail infrastructure. We operate at the intersection of AI, data infrastructure, and commerce. Closai is focused on revolutionizing the way individuals and businesses connect and utilize their assets. Closai is an early-stage start-up with accelerator backing, pilots in development, and a live product. Check out the app here - . Role Description We’re looking for a full-time Technical Cofounder or Founding CTO to own Closai’s technical architecture end-to-end and help define the standard for order intelligence. This is a hands-on role. You’ll architect, code, and ship alongside the founder, while shaping the long-term technical vision of the company. Compensation: Meaningful cofounder-level equity and long-term upside. What You'll Own: • Core backend architecture (APIs, data models, security), • Purchase history intelligence pipelines (ingestion, normalization, enrichment), • Universal infrastructure enabling third-party integrations, • AI-powered search, recommendations, and agent workflow, • Scalability, reliability, and data privacy foundations, • Technical roadmap aligned with enterprise SaaS and platform monetization Technical Skills: • Backend & Infrastructure - Python (preferred) or Node.js - REST and/or GraphQL APIs - PostgreSQL or similar relational databases - Cloud infrastructure (AWS or GCP) - Authentication & authorization (OAuth, JWT, scoped access), • Data & AI - ETL and data pipeline design - Experience with embeddings, vector databases, or semantic search - Working with LLMs or ML systems in production - Schema design for messy, real-world data - Enterprise-ready pipelines and APIs, • Product Engineering - Shipping consumer and enterprise-facing products - Performance, reliability, and security mindset - Strong intuition for user experience (DX) - Enterprise Other Qualifications • Strong Analytical and Research skills to solve complex technical and strategic problems., • Excellent Communication skills to collaborate with cross-functional teams and stakeholders., • Ability to lead and manage technical projects with attention to detail and deadlines., • Strong adaptability and self-motivation in a fast-paced startup environment., • Previous experience in a technical or cofounder/leadership role is a plus., • Previous experience with commerce or retail is a plus.

B2B Sales Agent – Claw & Vending Machines (Soccer, Basketball & Rugby Venues) Location: New York City Compensation: Base salary ~$55,000+ performance-based commission (strong OTE of $110k+) Type: Full-time About Us: We’re a fast-growing sports & gifting brand bringing “mystery shirt” magic into the real world – via claw machines and vending machines packed with surprise soccer, basketball and rugby jerseys. We’re at the very start of this channel and our long-term ambition is to place 800+ claw and vending machines across the NYC metro, Northeast, and key US markets in high-footfall, sports-focused venues. Once we’ve cracked the US East Coast model, the plan is to expand this rollout nationwide – turning it into a serious global revenue stream. The Role: Your mission is simple: Get our claw and vending machines into great locations on a revenue-share model and turn those locations into long-term, high-performing accounts. You’ll be responsible for the full sales cycle – from identifying target venues, to getting in front of decision-makers, to negotiating terms and overseeing successful installs. This is a role for a closer with a track record, not a “starter”. If you know how to sell physical, space-taking products into venues (or similar), this will feel familiar – just more fun. What You'll be Doing: Sales & Business Development: Build and manage a pipeline of target venues, including: • Soccer stadiums and clubs (MLS teams, soccer-specific venues), • Basketball arenas and sports centers (NBA, college basketball facilities), • Rugby venues, sports bars and high-footfall leisure sites (arcades, attractions, student hubs, family venues, etc.), • Research and map decision-makers (centre managers, commercial managers, tenant coordinators, operations, etc.) and get in front of them via outbound (cold email, calls, LinkedIn, in-person visits)., • Pitch our claw/vending machine concept and revenue-share model in a clear, commercial way that makes it a no-brainer for the venue., • Create tailored proposals and negotiate commercial terms (revenue splits, minimum terms, placement, branding, etc.)., • Own the full sales cycle from first contact → proposal → negotiation → signed agreement → handover/installation. Account Management & Expansion Act as key point of contact for venue partners – check performance, resolve issues, and keep relationships warm. Monitor machine performance by location, flag under-performance early, and propose solutions (relocation, offer tweaks, creative changes). Identify upsell / expansion opportunities (more machines, better placements, additional venues in the same group). Execution & Operations Coordination: Work closely with operations to schedule machine installs, maintenance and replenishment. Ensure all venue requirements (H&S, insurance, risk assessments, branding guidelines) are captured and communicated. Feed back on what you’re seeing “on the ground” – what types of venues and positions work best, what objections are coming up, what offers resonate. Reporting & Targets: Own and report on a clear set of KPIs: machines placed, signed venues, average monthly revenue per machine, pipeline value, win rate. Keep CRM / pipeline organised and up to date – no black holes, no mystery deals. What We're Looking for: Non-negotiable: proven track record. We’re looking for someone who has already sold into venues / locations and can show it. Must-haves • 3+ years B2B sales experience with a strong new business focus (not just farming existing accounts)., • Proven success selling physical or location-based products or services, such as:, • Vending / amusement / arcade / gaming machines, • POS / kiosks / retail hardware, • Experiential / in-store activations, • Other space-taking installations into venues, • Confident negotiating commercial agreements and revenue-share models., • Comfortable being out on the road, visiting sites, walking a venue and spotting where something would perform best., • Strong communication skills – in-person, on the phone, and over email. You can explain the numbers clearly and get to a decision., • Highly self-motivated and comfortable working in a fast-paced, entrepreneurial environment with clear targets. Nice-to-haves • Existing relationships with stadiums, soccer clubs, basketball arenas, rugby venues, shopping centres, or leisure groups., • Experience working with landlords, asset managers, or centre managers., • Interest in soccer, basketball, rugby and fan culture – you “get” the product and the audience. What Success Looks Like in 12 Months • A healthy, visible pipeline of targeted venues with clear next steps., • A growing network of signed locations with machines installed and trading., • Real, measurable monthly revenue from the machines – and a clear view of which types of locations perform best., • A clear, data-backed rollout plan that makes scaling to hundreds of machines (800+ over time) across the US feel achievable, not hypothetical. Why This Role is Exciting: • You’re early in a new revenue channel – you get to shape how it works and help design the playbook that scales to 800+ machines., • Clear line between your work and visible, tangible results (machines on-site, fans playing, revenue generated)., • Base salary plus meaningful commission upside – the more you place and the better the machines perform, the more you earn., • Real scope to grow with the project – from NYC/Northeast rollout to nationwide and international expansion.

The Customer Service Agent interacts with customers in a courteous, efficient, friendly and professional manner. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role: Principal Architect, Digital Services, HCLS Summary: A Presidio Digital Services Principal Architect, Healthcare and Life Sciences (HCLS), leads presales discovery, analysis, architecture, design, proposals, and scope-of-work creation, translating customer requirements into outcome-focused solutions through direct client engagement with HCLS accounts. Leveraging sharp business acumen alongside technical expertise, a builder mentality, presales methodology, and strong relationships (clients, Presidio stakeholders, and vendor partners); the Principal Architect assesses industry, customer, technical, and sales context to position solutions that deliver measurable, long-term value. This is a client-facing, 100% presales role that operates at the intersection of sales, delivery engineering, and customer executives to ensure we only propose solutions that are desirable for the client, feasible for delivery, and viable for Presidio Who You Are: • A Consultative Mind: You have a natural curiosity to understand a client's business first, before ever discussing a technical solution. You listen actively, come prepared, and ask thoughtful, open-ended questions that uncover real business friction-not just surface requirements., • Real Executive Presence: You know how to command a room, build consensus, and make complex ideas feel simple to C-level stakeholders. You read the room, adjust your approach in real time, and are comfortable leading conversations with CIO, CTO, and SVP-level leaders., • An Orchestrator: You're a master at leading matrixed teams. You know your job is to be the quarterback for our specialists, not the hero who does it all. You bring a strong point of view, but with enough humility to co-create solutions with experts across functions., • Resilient and Gritty: You run towards the tough challenges and can navigate ambiguity without losing focus. You are comfortable shaping opportunities that may start out messy, incomplete, or politically complex., • A Builder at Heart: You have spent meaningful time in delivery or engineering environments-writing code, refactoring legacy systems, building data pipelines, or architecting modern data platforms. You prefer to spend your time now in presales, solutioning, and customer engagement, but your recommendations are grounded in lived delivery experience., • Fluent in Modern AI-Driven Delivery: You stay current on how AI is transforming software and data delivery, including how AI fits into the SDLC and engineering workflows. You are eager to understand Presidio's AI practices, accelerators, and reference architectures so you can confidently represent them to clients and align with delivery teams., • A TShaped Leader: You bring broad, crossdomain fluency across digital, data, cloud, and AI, with deep handson experience in at least one of software engineering, data engineering, or modern cloud architectures., • Drive Digital Services Sales. In partnership with sales teams, formulate and execute a technical sales strategy to exceed revenue objectives through the adoption of Presidio Digital Services - application modernization, application development, software development lifecycle (SDLC), artificial intelligence (AI), and data estate and platform modernization. You act as the primary technical lead on pursuits, shaping solutions that sales can confidently position and close., • Understand Customer Current State. Proactively drive discovery and understanding of customer IT current state, goals, outcomes, and initiatives across Business, Technical, Operational, and Financial facets. Research industry trends and topics and develop discovery approaches. Develop and lead workshops to drive relevant discovery. Document customer current state to assist customer and sales teams target future state architectures and roadmaps., • Technical Opportunity Leadership. Lead opportunities for relevant services to achieve technical win of Presidio services solutions. Identify customer stakeholders and their individual success criteria and needs. Create and lead technical solution approaches and next steps aligned to customer stakeholders. Align, vet and coordinate Presidio technical resources as needed. Engage Manager/VP/Director level at clients directly., • Practice Delivery Engagement. Act as a bridge between sales and delivery engineering to ensure customer success. Collaborate closely with delivery leads to shape approaches, validate feasibility, right-size risk, and author formal scopes of work. Ensure that what is proposed in presales is realistic, deliverable, and aligned with the way our teams execute., • Solution Architecture, Design and Documentation. Analyze and assess client requirements and determine target services approach, solutions, and roadmaps. Create and deliver compelling technical proposals directly to clients, including relevant drawings, diagrams and analysis. Clearly articulate trade-offs, options, and phased approaches that align with client constraints and priorities., • Technical Excellence & Evangelism. Maintain a high level of technical excellence and evangelism across multiple relevant solution architecture and product areas, including emerging AI-driven development and data practices. Understand Presidio's accelerators, reference architectures, and AI-in-SDLC practices well enough to position them credibly in client conversations, while partnering with delivery teams that own detailed implementation. Participate in technical communities, internal knowledge sharing, and external presentations as appropriate., • Account Leadership. Actively participate in client account related activities that establish the Solution Architect as a trusted advisor internally and with customers, such as: Account planning, EBCs, and strategic workshops. Help shape multi-year digital, data, and AI roadmaps in partnership with sales and delivery leadership., • Team Engagement and Enable Culture. Engage Presidio team members, actively participate in team activities, and contribute on collaboration tools to drive an open, positive, inclusive, resilient, change-orientated team culture. Be a steward of the PRESIDIO CORE VALUES -Excellence, Forward-Thinking, Accountability, One Presidio., • Partner Relationships. Develop working relationships with vendor partner teams and peers, prioritizing the hyper-scaler cloud solutions and relevant ecosystems. Contribute to and drive execution of relevant partner vendor GTM strategies., • Continuous Improvement & Innovation. Actively plan and execute growth and career development activities. Seek and collaborate on improvements to presales processes, qualification, and solutioning patterns. Stay current on Presidio's internal practices, methodologies, and AI accelerators so you can continuously refine how you position our differentiated value to clients., • Bachelor's degree or equivalent experience (including military experience)., • 10+ years in digital/cloud solution delivery and consulting, including 7+ years in architecture/solution design and 5+ years hands-on with at least one major cloud (AWS, Azure, or GCP)., • Extreme ownership, grit, and resilience; comfortable running toward ambiguous, politically complex opportunities and shaping them into structured pursuits., • Strong consultative presales aptitude with a context-first, problem-framing approach and proven ability to uncover real business friction and desired outcomes., • Demonstrated executive presence with comfort leading presentations, whiteboards, and solution discussions with CIO/CTO/SVP-level stakeholders., • Deep background in software and/or data engineering (building and shipping applications, data platforms, or pipelines) with the ability to review/refactor code or data designs and mentor specialists., • Track record in presales or principal architect / client principal-type roles bridging sales and delivery, driving technical win, and shaping realistic, deliverable scopes of work., • Architect-level certifications with a major cloud provider (AWS, Azure, or GCP)., • Hands-on experience with modern app and data stacks (for example, microservices, event-driven or serverless architectures; Snowflake, Databricks, or equivalent)., • Experience building GenAI and agentic solutions (RAG pipelines, LLM-based applications, multi-agent orchestration) and using AI tools such as GitHub Copilot or similar., • Experience writing SOWs and proposals, including RFP/RFI responses, for complex digital, data, and AI programs JoiningPresidiomeans stepping into aculture of trailblazers-thinkers, builders, and collaborators-who push the boundaries of what's possible. With our expertise inAI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world. Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit . Applications will be accepted on a rolling basis. Presidio has a strong commitment to the community we serve and our employees. As an Equal Opportunity Employer, we strive to have a workforce that includes the community we serve. Presidio is an Equal Opportunity Employer Disability/Vets. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories. The "Know Your Rights" Poster is available here: Presidio's EEO Policy Statement is available here: Presidio is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an email to and let us know the nature of your request and your contact information. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. #LI-JM3 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. 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 ___. 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 ___. 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 ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As an Agent MLRE, you will be working on applying our Agent RL Training + Building algorithms to real life enterprise datasets across our clients + benchmarks. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers., • Research cutting edge algorithms to integrate directly into our training stack., • 1-3 years of building with LLMs in a production environment, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. 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:$197,400—$246,750 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 ___. 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 ___. 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:$275,000—$350,000 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 ___. 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.

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.

POSITION SUMMARY: Tier 1 Supervisory Security Officers shall be responsible for performing functions of a Tier 1 Security Officer and performing security shift supervision at Client properties. Tier 1 Supervisory Security Officers shall wear an appropriate seasonal uniform, perform the following tasks, and have the following qualifications: PAY TRANSPARENCY/COMPENSATION: $48.37 RESPONSIBILITIES: • Report directly to their Contract Manager and/or Assistant Contract Managers, • Assume responsibility for the completion of assigned tasks, • Direct Security Officers in the accomplishment of assigned tasks, • Provide scheduling, training, and counseling for Security Officers, • Carry out all other supervisory duties as required or directed by their Contract Manager and/or Assistant Contract Managers, • Serve as a close, first-line supervisor, monitoring and directing Security Officers and other SECURITY COMPANY personnel as necessary, • Act as Client’s liaison with civil authorities responding to crimes, fires, hazardous material spills, etc., • Respond to Client personnel in a timely, effective and professional manner, • In case of after-hours emergency situations, respond to the scene and take initial command, control and communication support role until higher authority and/or emergency responders arrive, with the authority necessary to handle emergency events, • Perform administrative tasks including timekeeping, scheduling, and report tracking, • Set the example for Security Officers in the areas of appearance, work habits, skill and attitude, • Ensure Security Officers follow all work rules, maintain and display good discipline, and present a professional appearance by conducting random, unannounced personnel and post inspections, • Provide on the job training for Security Officers, • Perform other related duties as assigned, • Oversee, supervise and provide security services during special events, including, without limitation, conducting access control and event guest check-in; enforcing all rules and protocols established by the events security SOPs and security escalation protocols, including engaging and removing anyone who is causing an adverse disruption to an event or refusing to depart the event after being requested to depart, interdicting anyone attempting to cause harm to any of the event guests, and reporting and investigating any security anomalies observed by security officers; collaborating with event organizers and venue staff; and performing regular patrols of the event premises to deter unauthorized access and ensure a safe environment., • Must have (A) a minimum of 4 years in a combat Military Occupational Specialty (MOS), U.S. Military Special Operations Unit, or U.S. Law Enforcement Special Operations Unit, OR (B) a minimum of 6 years as a sworn law enforcement officer/agent who is legally authorized to carry a firearm and legally empowered to perform arrests and who has satisfied all applicable legal and training requirements for armed law enforcement officers in the jurisdiction in which they were employed, • Must possess a minimum of a High School diploma or equivalent from a U.S. Accredited School. Foreign education must be evaluated to meet U.S. education requirements., • Be a U.S. Citizen with a social security card and a valid driver's license, • MUST possess a valid New York Armed Guard License and a Pistol permit with no restrictions and be authorized for employment within the state of New York. Retired Police Officers who possess an HR 218 are not required to have an Armed Guard License or Pistol Permit., • Must meet all medical and physical standards and satisfactorily complete background checks, psychological and drug screening, • Be able to wear protective body armor as part of the duty uniform, • Current CPR/AED/1st Aid Certification, • Write and speak clearly and effectively in English, • Successfully complete all training and certification requirements, • Maintain all applicable weapons qualifications, • Regular, in-person attendance required, • May be required to lift and carry awkward items weighing up to 50 lbs. Requires intermittent running, continuous and prolonged standing, walking, sitting, squatting, stretching and bending without the aid of any walking assistance device., • Must be physically capable of riding a bicycle and/or operating a motor vehicle throughout the course of a workday., • May be subject to outdoor conditions including extreme temperatures and weather.

Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance, and we make factories run better. Principal Duties/Responsibilities: To Live and Lead Safety · Takes responsibility for employee safety and wellness by deploying the ATS safety program and ensuring effective completion of safety training, observations, and incident investigations. · Implements and actively supports all Beyond Zero initiatives · Enables the growth of a customer safety culture by a fostering a safety partnership and sharing best practices To Inspire and Provide Clarity on Vision and Strategy · Motivates employees by communicating a clear vision that enables all employees to understand the rationale for, and the benefit of, both site-level and company-wide objectives · Acts as an effective change agent, leading the implementation of strategic initiatives through positive team communications, appropriate action planning, and successful implementation activities · Understands and appropriately articulates both ATS and customer strategies, providing the team with line of sight between team responsibilities and strategic outcomes To Own Our ATS Culture · Builds positive relationships with ATS employees, customers, and peers through open communication and role-modeling the ATS leadership core competencies of honesty and respect · Sets a positive, influential standard for others and creates a constructive climate for their team · Influences with transparency and use participative methods to ensure that decisions are understood and accepted · Establishes a positive work environment through managing and personalizing onboarding; engaging in ongoing one-on-one communications; and recognizing individual contributions and achievements on a timely basis · Adheres to policies and procedures and ensures that staff understands the rationale behind policies and processes To Support Our Employees’ Learning and Growth · Leads and builds team capabilities by working with individuals on performance improvement, career planning, training, and skills development. · Develops, communicates, and executes a Skills Matrix and Technician Training Plan · Builds and maintains a succession plan for key positions (i.e., Supervisors, Supply Chain, P/S, RE) To Ensure and Drive our Business Results · Leads and ensures the Operating System is understood, reinforced, and embedded · Develops and executes a site-specific maintenance plan per ATS standards · Manages financial performance of the site (revenue, expenses, and profit) to achieve set objectives · Develops and maintains effective relationships with all ATS business units, fully utilizing their services and ensuring cross-functional alignment · Collaborates with and builds customer relationships to ensure priority alignment and proactively anticipates customer needs as the primary on site contact · Ensures alignment of customer expectations and ATS site goals through management of site-specific contracts · Communicates with the customer through daily, weekly, and monthly meetings and conducts a regular review of the performance metrics with the customer · Drives a continuous improvement methodology and promotes cost savings · Analyzes and reports on key performance indicators, completing root cause analyses and developing and executing action items while removing barriers and addressing issues · Collaborates with sales and operations leadership to increase the scope of services Knowledge, Skills, Abilities (KSAs), & Competencies: Essential KSAs: · Bachelor’s degree in technical, business, or a related field preferred or seven years of operations / maintenance experience · Three years of supervisory experience with a strong focus on development of employees · Resilient and flexible, able to multitask and prioritize with an innate ability to understand and accept change and motivate others around change · Highly tuned emotional intelligence with demonstrated ability to build relationships and lead teams with honesty and integrity to achieve goals · Solid understanding of manufacturing / assembly work environment · Business acumen · Positive influencer with appropriate levels of organization. · Strong customer focus with the ability to build positive business relationships and show a sense of urgency Desirable KSAs · Manufacturing maintenance experience preferred with related certifications and training · Good understanding of, and/or experience with, proactive/reliability maintenance processes, i.e., Planning/Scheduling, P/M, PdM, and root cause analysis, and continuous improvement methodologies · Good computer skills, including Microsoft applications and web-based applications such as Power BI, GEAC, Concur, Workday and related software · Time management skills · Ability to relocate to specified locations · Excellent communications skills (verbal, written, and presentation) · Agile, curious learner and authentic, credible teacher · Financial acumen and knowledge of forecasting and managing budgets Leadership Core Competencies: Business and Company Acumen Lead with honesty and integrity Build bold and relevant strategies Welcome and motivate change Recognize the right outcomes and how they were achieved Role model safety and wellness Emotional Intelligence Provide psychological safety Be self-aware Build relationships Ask for and act on feedback Respect diverse background and viewpoints Lead in the Present; Eye to the Future Commit to accountability Coach people to their potential Own talent development and placement Turn problems into opportunities Be resilient and flexible Communicate, Communicate, Communicate Practice transparency Build relationships through respect Be a curious learner and credible teacher Influence in a proactive, positive way Ensure cross functional awareness/decisions ATS is committed to providing equal employment opportunity in all aspects of employment to all applicants and employees, regardless of age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information or other legally protected status.

AI Product Designer (Contract) As a Contract AI Product Designer, you will drive end-to-end UX concept development across the studio's most forward-looking initiatives. Working closely with studio conversational (Content) designers, creative technologists, and researchers, you'll shape the future of the product ecosystem. You're a systems thinker and hands-on inventor who moves fluidly between near-term design craft and long-horizon strategy. You'll report to the Sr. Design Director and collaborate within a multidisciplinary team that includes Creative Technologists, Researchers, and AI. Position Responsibilities • Lead UX concept development for Generative Design System investigations — including adaptive UI surfaces, tokenized design patterns, and machine-readable component architectures for AI composition, • Define and prototype Agentic OS interaction models — including intent-based navigation, multi-agent task orchestration, and dynamic layout systems that replace traditional app grid paradigms, • Translate complex AI system behaviors into clear, human-centered interaction flows, scenarios, and design frameworks, • Develop strategy documents, user flows, wireframes, and high-fidelity concept visions that communicate direction to both design peers and executive leadership, • Contribute to JTBD analysis, opportunity mapping, and product roadmap decisions Skills • 10+ years of UX, Interaction Design, or HCI experience, with at least 3 years focused on emerging or AI-powered product experiences, • Knowledge of current AI product design tools — including generative UI prototyping, AI-assisted design workflows, or prompt-driven concept exploration, • Strong command of OS-level or system UX design — navigation models, information architecture, cross-surface continuity, • Experience working within or alongside a scaled design system, including contributing patterns, interaction specs, or component logic, • Proficiency in Figma including component architecture, auto-layout, and variable/token workflows, • Ability to create compelling concept visions — from rough scenario sketches to polished, leadership-ready artifacts, • Design for AI and Emerging Systems, • Demonstrated experience designing for agentic or AI-native interfaces — including proactive systems, multi-step task flows, or autonomous agent UX, • Fluency with generative UI principles, • Hands-on knowledge of design system tokenization, • Understanding of LLM / AI model behavior ane agentic system design patterns — orchestration layers, delegation models, agent handoff, and user control/override mechanisms, • Experience designing multimodal interactions — voice, gesture, visual, or ambient input/output across device types, • Ability to prototype or storyboard intent-based navigation models Soft Skills • Systems thinker who can hold both the 10,000-ft strategic vision and the 1-ft craft detail simultaneously, • Comfortable with ambiguity — able to frame open design questions, define the right problem, and move forward without complete information, • Strong communicator who can distill complex AI concepts into clear, compelling narratives for executive and cross-functional audiences, • Collaborative and generous — thrives in small, fast-moving, multidisciplinary studio environments, • Intellectually curious with a genuine interest in how AI will reshape human behavior, not just interface patterns Compensation: $90 - $112.83 per hour ID#: 36994446

You’ll be working live leads while building the habits and confidence needed to operate as a sales agent. We’ve built our reputation in rentals and are now scaling our sales platform through thoughtful growth, strong systems, and serious lead partnerships — which means opportunity for the righ

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 ___. 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.

DESCRIPTION: Are you eager to start a rewarding career in real estate but worried about your lack of experience? Don't be! We are looking for motivated individuals with a passion for helping others to join our team as Real Estate Agents. No prior experience is necessary—we'll provide you with all the training and support you need to succeed. In this role, you'll learn the ins and outs of the real estate industry, from understanding market trends to mastering negotiation techniques, all while working alongside seasoned professionals who are invested in your success. You'll be given the tools and resources to build a thriving career, with opportunities to grow and advance as you gain experience. Whether you're showing properties, networking with clients, or closing deals, you'll be part of a supportive environment that fosters learning and development. If you're a go-getter with a desire to build a successful career in real estate, this is your chance to make it happen. Join us and take the first step toward a bright future in the real estate industry! RESPONSIBILITIES: • Guide clients through the buying and selling process with personalized service., • Negotiate offers between buyers and sellers to secure favorable terms., • Build and maintain a network of clients and industry contacts., • Provide ongoing client support and follow-up to build lasting relationships., • Utilize real estate software and CRM tools to manage leads and transactions. Real Estate Professionals earn money for each transaction they complete. As you make more transactions, you earn more income. After a few years of disciplined work, it's not unusual for a Real Estate Agent to be earning $50000 - $100000 yearly or more. The more work you put into establishing a client base, the more money you will earn. ABOUT: From Montauk to Brooklyn, Berkshire Hathaway HomeServices Laffey International Realty is the company to rely on when your deal absolutely positively needs to get closed. In 1956, Thomas Laffey arrived in New York from Ireland with little more than a suitcase and a dream. That dream was realized in 1974 when the very first Laffey Real Estate office was opened. Built on the solid foundation of providing best in class customer service with honesty and integrity, the company has grown and evolved to become a leading local real estate brokerage. In 2018, Laffey became part of Berkshire Hathaway HomeServices network, fusing the best of a traditional brokerage with a powerhouse tech start-up to achieve market dominance. Powered by the greatest Real Estate technology ever created, we go above and beyond the services of the average real estate broker.

Company History The origins of Prym date back to 1530, making it one of the oldest family-owned industrial companies in the world. Founded by Wilhelm Prym as a goldsmith in Aachen, the company has shown remarkable resilience and adaptability throughout its nearly five-century history. In the mid-17th century, Prym relocated to Stolberg and shifted its focus to brass production. As demand for brass products declined, the company pivoted to machine production of metal haberdashery, establishing itself as a leader in this field. A significant milestone in Prym's history occurred in 1903 when Hans F. Prym developed the innovative s-spring press fastener, which revolutionized fastening solutions. This invention, produced in countless colors and shapes, has solidified Prym's reputation for quality and reliability, showcasing the company’s commitment to innovation. Today, Prym thrives with over 3,500 employees across 30 locations in 18 countries and 9 production sites. Under the William Prym Holding, four independent divisions operate globally, each catering to distinct market needs. Prym Consumer is the first choice for textile handicraft, Prym Fashion serves the fashion industry with exceptional customer service and tailored solutions, Prym Intimates offers innovative accessory solutions for lingerie, swimwear, and athleisure, while Inovan Prym specializes in unique engineering for metal and hybrid processing. As a majority-owned family business, Prym remains dedicated to its founding values while embracing the dynamic needs of its customers, playing a vital role in shaping the future of crafting and textile innovation. Summary/Objective The Account Executive drives strategic, profitable, long-term growth for existing customers, while building intentional sales development plans for acquiring new business. Essential Functions • Lead all aspects of sales for designated accounts with responsibility for growth and development of the business. Responsible for achieving sales revenue and profitability for Prym Fashion America accounts., • Develop and execute sales strategies by account to foster and grow business. Focus on acquiring new customer targets while nurturing strong relationships with current business partners., • Proactively manage business opportunities with individual customers to set Prym apart from our competitors., • Manage own costing strategies to align with team margin goals., • Collaborate with internal global team members in sales, customer service, finance, and product development., • Translate market trends and customer needs into measurable goals that build competitive advantage., • Self-motivated: Ability to take initiative and solve problems with the tools available., • Product Curiosity – deeply interested in product and interested in learning new categories., • Act as a team player and change agent., • Model the Group’s code of conduct and values., • Other duties as assigned Required Education and Experience • Bachelor’s Degree in Fashion, Marketing, Business Administration, or other related degree, • 5-8 years’ experience in the Fashion industry or a related field, • Must be proficient in MS Office products including Word, Excel and PowerPoint, SharePoint and Microsoft Teams, • Proven success in cross-regional projects or initiatives., • Sophisticated business and financial acuity needed., • Practical experience in researching new opportunities and implementing successful account penetration., • Excellent oral, written communication, and presentation skills., • Strong organizational skills-able to focus, prioritize and follow through. Preferred Education and Experience • Experience working within Fashion segments, • In-depth knowledge of the Fashion Industry and understanding of market trends. Supervisory Responsibility This position has no supervisory function. Career Path Progression from this position Sr. Sales Manager Travel This position requires up to 20% travel – mostly regionally in NY and/or domestic. Work Environment or Working Conditions This job operates in a combination of professional office and basement environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, and filing cabinets. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Physical Demands • Ability to lift 5 – 20 lbs. periodically and 50 lbs. on occasion, • Ability to stand/walk for up to 8 hours, • Ability to sit for up to 8 hours EEO Statement EOE/Vet/Disabled

Specification Lighting Sales (SLS) Specification Sales Representative, New York City At SLS, our employees are our greatest asset. As a leading New York City lighting and controls agency, the design and construction community relies on our ability to design projects within budget and deliver on time. SLS’s consistent growth in the market is attributed to our ability to uphold our core principles: offering superior service, demonstrating value, maintaining relevance, and operating with integrity. SLS is seeking a Specification Sales Representative for New York City. This representative will be responsible for developing and maintaining relationships with key specifiers (architects, interior designers, and/or engineers), as well as certain clients in Long Island or Westchester, while both growing market share and building new accounts for SLS. The ideal candidate will have an understanding of the project dynamics of commercial architecture and construction, an ability to learn new technical information, be self-motivated, and present well. A background in lighting sales is ideal but not required. This role will be based in New York City. It will require travel within this region, with occasional travel outside of the region for factory visits. Role & Responsibilities: • Responsible for securing lighting specifications via the development of relationships with specifiers and manufacturers., • Understand (or learn) the lighting industry, products and market trends., • Achieve annual and quarterly targets assigned by the agency., • Identify and generate new opportunities to build the SLS portfolio., • Responsible for showcasing all new products into the market. This entails confidently and knowledgeably presenting new products and highlighting their features and benefits., • Build strong internal relationships with SLS project management, quotes and sales team., • Determine customer product needs while in the field and aligning those needs with existing products and new products under development., • Target and contact key architects, engineers, lighting designers, etc, and develop positive relationships to secure specifications and sales., • Regularly report on key accomplishments and monitor key metrics to identify areas for improvement., • Required: an undergraduate degree in a related field (architecture, design, engineering,) OR equivalent relevant work experience in design, construction or design sales. Example applicants might have a background as an architect, lighting designer, commercial interior designer, regional sales manager for a lighting brand, or as a specification sales agent., • Preferred experience level may be in the range of 2 – 10 years in a relevant role in the industry., • Highly motivated and target driven with a proven track record in sales or project-related work., • Must demonstrate an understanding of various aspects of the architectural lighting industry, • Must possess a comfort level with public speaking for presentations and have a professional command of oral and written communication skills., • Strong organizational skills and time management skills, with the ability to manage multiple priorities and business relationships., • Demonstrates an affinity for relationship building. Benefits • Healthcare coverage, • 401k, • 2+ weeks of vacation time, plus company holidays and personal/sick days, • Reimbursed cell phone bill, • Client expense account, • Compensation is in the range of 100K - $150K+ commission. We welcome you to apply for the position if your experience matches the qualifications outlined and will reach out if we’d like to move you forward in the interview process. Please submit your resume and a brief cover letter to James Daunt, EVP of Business Development at SLS is an Equal Opportunity Employer. All candidates will be evaluated on the basis of their qualifications for the job in question. We do not base our employment decision on an employee's or applicant's race, color, religion, age, gender or sex (including pregnancy), national origin, ancestry, marital status, sexual orientation, gender identity, genetic identity, genetic information, disability, veteran/military status or any other basis prohibited by local, state, or federal law. kills

We are hiring Full-Stack Enterprise AEs who can own the entire revenue cycle — from prospecting to closing and expansion. This is not a traditional “wait for SDR handoff” role. You will operate as a self-sufficient seller empowered with: • FlashRev list-building, • AI SuperAgent, • Parallel Dialer, • AI Meeting Agent, • Automated workflows Your Mission: Land and expand 6–7 figure deals with U.S. and global enterprise customers. You will sell FlashLabs’ AI GTM automation to: • Fintechs (payments, wallets, neobanks), • Insurtech, • Lending & BNPL platforms, • Brokerages & wealth tech, • Exchanges, • Compliance-driven fintech teams Key Responsibilities • Own the full sales cycle: from ICP targeting → outbound → qualification → demo → proposal → close → expansion., • Conduct high-impact discovery with VPs, C-suite, and transformation teams., • Deliver tailored demos of FlashLabs SuperAgent, FlashAI Voice, FlashRev, and AIFlow., • Use our AI outbound engine + self-sourced pipeline to drive meetings., • Conduct intelligent prospecting (email, LinkedIn, phone, AI agents)., • Build and maintain a strong top-of-funnel independently., • Lead multi-threaded enterprise sales cycles (6–12 weeks)., • Handle InfoSec, legal, procurement, and compliance reviews., • Build ROI, business cases, and transformation proposals., • Drive land-and-expand motions across teams, departments, and regions., • Partner with CS to ensure adoption and value realization., • Grow accounts into multi-year, high-ACV partnerships., • Become a domain expert in AI GTM automation., • Relay product feedback to engineering to guide the roadmap., • Represent FlashLabs at industry events, webinars, and executive briefings.

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, • 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 ___. 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.

Most research studies are conducted remotely from home, though some may be in-person. If the idea of getting paid to voice your opinions, test products, and contribute to market innovation appeals to you - and you're looking for flexible, work from home part time opportunities — this is your chanc

Do you want to help revolutionize a major industry? At Unibail-Rodamco-Westfield (URW), you’ll have the opportunity to impact the future of real estate by developing innovative and engaging places that reinvent being together. Come join a team that builds excitement about working at URW. You’ll get to work with leaders who are passionate about tackling changing consumer behavior with innovative experiences. All this bold vision means the company culture embraces evolution and change. We believe there is no "perfect" candidate and want to encourage applying even if all the requirements listed aren’t met. If you're passionate about URW and looking to learn and grow, then we look forward to reviewing your application! We are currently looking for our: Director, Legal Leasing (Based out of World Trade Center office, New York, NY) What we offer We are excited to offer this opportunity to join us URW as the Director of Legal Leasing and Strategy. We value diverse perspectives and innovative thinking. The Director of Legal Leasing and Strategy is a dynamic and energetic senior legal leader who serves as a change agent within the Company’s legal team. This position is perfect for individuals who enjoy tackling challenges, energizing and inspiring teams, and are committed to fostering significant growth and transformation. With a strategic mindset and a commitment to excellence, the Director will not only oversee all legal aspects of legal leasing, but will inspire the team to challenge existing practices, embrace innovation, and push for bold changes that elevate our standards and processes. This leader demonstrates boldness by collaborating with Leasing, Asset Management, and senior leadership to achieve business goals, establish future ambitions, and promote a culture where exceptional legal documentation and innovative solutions are standard practice. This leader will champion new ways of working, and lead the efficient negotiation and execution of complex retail, office, and mixed-use lease documentation across the portfolio, all while energizing the team to reach new heights in a high-volume, fast-paced environment. Scope Department Leadership & Strategy • Co-Lead the Legal Leasing department, establishing strategy, priorities, goals, workflows, and performance standards., • Oversee a team of attorneys, paralegals, and coordinators; provide coaching, training, and professional development to strengthen negotiation, communication, legal, and business skills., • Ensure alignment between legal leasing operations and the Company’s leasing, operational, and financial objectives., • Maintain strong internal partnerships with Leasing leadership, Asset Management, Development, IT, and Senior Executives., • Monitor departmental KPIs, resource needs, and workload allocation to ensure timely and accurate delivery of all leasing documentation. Legal Drafting, Negotiation & Advisory • Oversee and participate in the drafting and negotiation of leases, amendments, LOIs, subleases, assignments, temporary licenses, and related documents., • Provide high‑level legal and business counsel on landlord/tenant issues, defaults, disputes, and other real estate matters., • Ensure consistency and standardization of lease language, templates, policies, and procedures across the organization., • Guide teams through complex legal and business issues, offering solutions that align with Company strategy while minimizing risk. Operational Excellence • Ensure leasing documentation is processed efficiently through execution, including coordination between legal, leasing, operations, and other internal departments., • Oversee development and maintenance of legal leasing databases, systems, and tools in partnership with IT., • Implement compliance best practices, legal updates, and continued education initiatives to support a strong, informed legal practice., • Maintain deep knowledge of the Company’s tenant portfolio, business priorities, and market considerations. Collaboration & Communication • Serve as key liaison between Legal and Leasing teams, ensuring clear communication, issue escalation, and timely delivery of solutions., • Advise senior leadership on legal trends, portfolio risks, negotiation strategies, and operational process improvements., • Represent the Legal Leasing function in cross‑functional initiatives, strategic planning, and portfolio decision‑making. What we’re looking for • Member of the New York Bar in good standing., • 12+ years of experience negotiating and drafting complex retail, office, and/or mixed‑use lease documents; REIT or major retail/real estate company experience strongly preferred., • Experience leading or managing a legal team in a high‑volume transactional environment., • Strong academic background preferred; combination of big‑law and in‑house experience ideal., • Exceptional drafting, negotiation, analytical, and communication skills., • Demonstrated ability to manage multiple complex projects and deliver results under tight timelines., • Strong business acumen with the ability to integrate legal judgment with practical business needs., • Positive, collaborative, solutions‑oriented mindset with the ability to work in a dynamic, fast‑paced, team‑focused environment., • Demonstrated adaptability and resilience, with a growth mindset that embraces change and proactively seeks solutions in evolving circumstances. Compensation • Exempt, • $185,000 - $230,000 per year + Discretionary Annual Bonus What is important to us Unibail-Rodamco-Westfield (URW) is driven by an entrepreneurial foundation of talented and ambitious employees who embrace change, strive for innovation, and know when to venture into uncharted terrain. Teams within URW are collaborative and thrive by working together to seize opportunity and solve challenges. Employees receive mentorship and guidance while being empowered to drive their initiatives, embracing their individuality and unique backgrounds. URW‘s flagship destinations are interwoven into the community fabric, and we give employees the power to be impactful in their work and lead meaningful change in our communities through volunteering, DE&I programming and leading ESG efforts. URW is an innovator and trend setter in experiential entertainment and is making bold moves to be a brand that creates inspiring consumer experiences in-person and digitally. Breaking beyond conventional beliefs, URW is surprising and delighting customers by reinventing being together and creating memorable moments. Our company purpose – to Reinvent Being Together – is about reimagining how individuals and communities come together, socialize, and enjoy dynamic experiences alongside one another in entirely new ways. We are at our best when we are TOGETHER safely and joyfully

Description The Scientific Computing & Data group at the Icahn School of Medicine at Mount Sinai (ISMMS) accelerates scientific discovery by supporting a high-performance computing and research data ecosystem. This includes a data commons and two clinical research data warehouses: one for ISMMS and one for the Kidney Precision Medicine Project (KPMP), a multi-institutional research consortium () funded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). Both warehouses use Microsoft SQL Server and the OMOP Common Data Model. The Lead Data Warehouse Engineer is a senior technical specialist responsible for leading development, maintenance, and operations of these research data warehouses. The role collaborates with warehouse team members and research stakeholders to expand functionality and integrate new data sources. Data transformations are built in Transact-SQL stored procedures, with SSIS used for orchestration. Responsibilities • Design databases and pipelines that balance functionality, performance, cost, and development time; evaluate technical options with the product manager., • Design, build, test, and maintain ETL/ELT processes using T-SQL stored procedures, SSIS, and SQL Agent; apply metadata-driven design for extensibility., • Serve as a team leader; contribute to project planning, work breakdown, dependency sequencing, and release management., • Develop and promote standards, conventions, design patterns, DevOps/SDLC best practices, and operational procedures for pipelines and warehouse maintenance., • Mentor junior engineers in data warehousing, data engineering skills, and operational support., • Design, build, and maintain data management processes, including loading flat files (csv, tsv, pipe-delimited, JSON)., • Lead design sessions, code walkthroughs, peer reviews, and produce technical documentation., • Tune database objects, stored procedures, and pipelines to optimize performance and minimize compute and storage costs., • Monitor database and pipeline operations; lead troubleshooting and remediation of failures; provide occasional after-hours on-call support., • Collaborate with DBAs and system administrators on backups, performance tuning, statistics/index maintenance, and patching., • Provide high-quality customer service to researchers, clinicians, and internal partners; maintain a science‑driven, customer-focused approach., • Ensure patient privacy and data security in compliance with IRB & cybersecurity policies, HIPAA, 42 CFR Part 2, NYS Article 27-F, and other regulations., • Stay current with emerging technologies to improve capabilities, efficiency, quality, or cost., • Identify improvements in procedures, technology, compliance, and data privacy/security., • Periodically assist DBAs with user provisioning, backups, restorations, capacity planning, and performance monitoring., • Perform related duties as assigned. Qualifications • Bachelor’s degree in a technical field; Master’s preferred., • 12–15 years of related experience, including 7+ years designing, developing, and maintaining relational databases, data pipelines, and dimensional/OLAP warehouses. Preferred • Expert knowledge of data warehousing: 3NF & dimensional modeling (fact table types, SCDs), change data capture, incremental loads, data lineage, source-to-target mappings, pattern-based & parameter-driven development., • Expert-level experience with Microsoft SQL Server technologies: T-SQL, indexing, stored procedures, UDFs, sequences, dynamic SQL, Linked Servers, SSIS, Visual Studio, SSDT, and SQL Agent., • Experience with DevOps/SDLC best practices; Agile (Scrum, Kanban) with JIRA and Confluence; version control with git., • Strong communication and customer service skills for working with researchers, clinicians, administrators, and IT staff., • Excellent critical thinking, problem-solving, multitasking, and collaboration skills; ability to work independently in a fast-paced environment., • Preferred experience with healthcare data (EHR, billing/claims, cost accounting), Epic Clarity/Caboodle, data models (OMOP, i2b2, PCORnet)., • Preferred experience with Azure Synapse, Azure Data Factory, Oracle PL/SQL, PostgreSQL PL/pgSQL., • Experience with SQL Server administration: configuration, performance tuning, partitioning, materialized views, permissions, backups & restorations., • Preferred experience with scripting in Windows & Linux (PowerShell, Python, or similar); HL7; web services/REST APIs; reporting tools like SSRS, Power BI, Tableau. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. Compensation The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

A freight forwarding company is seeking an Ocean Import Agent to join their operations team near Secaucus, NJ. This position is responsible for the activities and processes of international Ocean import freight coordination and for providing other general operations support as needed. *This is a full-time, non-exempt, direct hire, onsite position. Ocean Import Agent (Freight Forwarding) Duties: • Track and trace international shipments, monitoring and managing daily sea freight freight operations, • Collect, sort and distribute operational information internally and process documentation for shipment release, including follow up with customs brokers and overseas offices, • Daily entry of arrival notices, invoices (arrival notice, customer's, etc.), and delivery orders into United Fright System (UFS), • Respond to customers and transportation service providers, providing them with information of shipment statuses (ETA, errors, etc.) and financials, including processing of vendor payment requests, • Provide relevant invoicing information from customs broker and for the clients, to Accounting department for payment, • Collaborate with and support other departments'/branches' freight operations as needed, • Address issues and claims when shipment errors/in-transit issues occur (e.g. troubleshooting discrepancies, processing damage claims, etc.), • Create invoices and send originals to billing parties, • Additional duties as assigned Ocean Import Agent (Freight Forwarding) Ideal Minimum Requirements: • Degree in Business, Supply Chain Management, or similar, • 3-5 years of freight forwarding operations experience required, • Practical knowledge of Microsoft Office, particularly MS Excel, • Excellent communication skills in written / verbal English, • High attention to detail and comfortable handling tasks simultaneously, • Adaptable with the ability to work effectively in a fast-paced and deadline driven department, • This position will not support visa sponsorship or relocation expenses, • While performing the duties of this job you may be required to intermittently sit, stand, walk, lift up to 25 pounds, climb stairs, use hands to handle or feel paperwork and interact with a computer, talk and hear. You may also be required to use close vision, distance vision, color vision, depth perception, and peripheral vision. NOTE: Activ8 and its clients will NOT charge any fees or costs to applicants at any point during the application or hiring process. Activ8 Recruitment & Solutions / Renaissance Resources Inc. is an equal opportunity employer, acting as a trusted leader in North American recruiting for Japanese businesses for over 25 years. We specialize in connecting top talent with companies in the Automotive, Electronics, Food & Beverage, Logistics, Manufacturing, Oil & Gas, Banking & Finance, and Entertainment industries. By working closely with each candidate individually, we provide tailored job search solutions to meet your needs. We screen ALL Candidates to verify the validity of each applicant's provided information. Upon submitting your resume, we will contact only those candidates that we deem qualified for our client. If we do not contact you, we do not see the fit for the position. If we are unable to reach you in a reasonable timeframe, you will be eliminated from the pool of potential candidates.

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 ___.

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 ___. 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:$179,400—$224,250 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 ___. 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 ___. 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:$197,400—$246,750 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 ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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

Following a record-breaking Q4 2025-our strongest revenue quarter to date, with Enterprise delivering our largest bookings ever-we are accelerating enterprise adoption of frontier data and models through complex, production-grade AI agents. The Applied AI 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 Applied AI, you will own the strategy, execution, and growth of a high-impact organization, working directly with some of the world's most sophisticated enterprises to translate generative AI breakthroughs into measurable business outcomes through team building, technical leadership, and deep customer partnerships. 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. • Drive enterprise impact with GenAI: Partner directly with customers to identify high-leverage opportunities for generative AI, design solutions, and deliver production systems that create clear business value., • Lead and scale a GenAI-native Applied AI organization: Build, mentor, and manage multiple teams of Applied AI Engineers and ML Engineers who are native to modern GenAI technologies, agentic systems, and multimodal models., • Set technical and strategic direction: Define best practices for agent development, evaluation, deployment, and iteration across customer engagements and internal product efforts., • Bridge frontier research to real-world applications: Translate advances in LLMs, multimodal models, and agentic workflows into practical, scalable solutions across industries., • Discover model limitations and inspire innovation: Identify failure modes, inefficiencies, and gaps in current models; use these insights to influence internal research, product roadmaps, and customer strategy., • Partner cross-functionally: Work closely with Product, Research, Sales, and Leadership to shape Applied AI offerings, prioritize investments, and guide long-term platform evolution., • Influence the broader AI ecosystem: Represent Scale's Applied AI capabilities with customers and partners, and help position Scale as a trusted leader in enterprise GenAI deployment., • 8+ years of experience building, deploying, and scaling ML systems in production, including Enterprise-grade Gen AI and agentic applications, • 6+ years of people leadership experience, including managing managers and leading multi-team organizations delivering customer-facing AI products, • Deep applied expertise in Gen AI, including LLM-based systems, agent orchestration, evaluation and reliability frameworks, and production system design, • Experience owning end-to-end AI product delivery-from problem definition and technical architecture to deployment, iteration, and scaling, • Strong technical judgment across software engineering, system design, and applied ML fundamentals, • Exceptional communication and stakeholder management skills, with the ability to influence executives, customers, and cross-functional partners, • Bachelor's degree required; Master's or PhD in Computer Science or a related field strongly preferred, • 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, • Proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes As Director of Applied AI, you will play a critical role in shaping how enterprises adopt, deploy, and trust generative AI at scale. You will build and lead teams that set the standard for applied GenAI and agentic systems, translate frontier capabilities into reliable, production-ready solutions, and deliver measurable business impact for customers. By uncovering model limitations and guiding how AI is applied in real-world environments, you will influence both product direction and the next wave of enterprise AI innovation. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$285,200—$356,500 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. 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.

You work in the operational day-to-day business from day one get to know our core operations as a Rental Sales Agent and are supported through training in communication conflict resolution sales and problem-solving strategies. ST GEAR! is our global Management Trainee Program - a dynamic 12-month jo

Position located in Oswego, NY Requirements of the CT Technologist: • Tuesday-Friday, 8:30am-7pm, • 8 weeks, • CT scanner is a Siemens Somatom Perspective, • Associates Degree or higher preferred, • Valid New York State license to practice Diagnostic Radiography, • Valid New York State license to inject contrast material preferred; must be obtained within 90 days of hire, • Valid and current American Registry of Radiologic Technologist (ARRT), • Knowledge of CT and radiologic standards, requirements and regulations., • Knowledge of radiologic safety, cleanliness and infection control policies and regulations., • Knowledge of CT and radiologic equipment uses and maintenance., • Accuracy: Ability to perform work accurately and thoroughly., • Communication: Ability to communicate effectively verbally and in writing., • Computer Skills: Proficient ability to use a computer and electronic medical record., • Confidentiality: Maintain patient, team member and employer confidentiality. Comply with all HIPAA regulations., • Customer Service Oriented: Friendly, cheerful and helpful to patients and others. Ability to meet patients and others needs while following office policies and procedures., • Detail Oriented: Ability to pay attention to the minute details of a project or task., • Flexibility: Ability to adapt easily to changing conditions and work responsibilities., • Positivity: Display a positive attitude and is a positive agent for change., • Teamwork: Work as part of a team and collaborate with co-workers., • Working Under Pressure: Ability to complete assigned tasks under stressful situations Estimated Gross Salary: $3200/weekly

Are you passionate about providing top-notch service and ensuring vehicles are rental-ready As a Customer Vehicle Service Agent at SIXT youll play a vital role in delivering exceptional customer experiences for clients from around the globe. At SIXT top-tier customer experience and outstanding custo

You have a high school diploma or GED and at least 1 year of experience in vehicle service or a related field. You are at least 18 years old hold a valid drivers license with a clean driving record and are authorized to work in the United States without requiring sponsorship .

Participate in industry-specific security training programs. CCTV,Microsoft Office,Customer Service,Communication skills,Computer Skills,Microsoft Word,Military Experience,Law Enforcement,Conflict Management,Security,Word Processing,Writing Skills. Allied Universal North Americas leading security an

GenAI Technical Authority & Architecture Act as the principal technical authority for GenAI and LLM based systems across the organization. GenAI Frameworks: Hugging Face Transformers Lang Chain OpenAI API or equivalents. Hands on work with multi agent or autonomous GenAI systems in production.

Security Officer - Residential Flex Officer Front Desk Agent. Learn more: As a Front Desk Security Officer at a residential location you will welcome residents and guests support access control and visitor check-in monitor activity from the lobby area and communicate concerns to the appropriate con

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:$197,400—$246,750 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 ___. 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:$216,200—$270,250 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 ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. As the Sr. Knowledge Specialist, Pinterest Support Operations, you will take ownership of an existing portfolio of internal support knowledge documentation for a defined set of monetized advertising products and workflows. In an AI-forward company like Pinterest, high-quality, well-governed knowledge is the foundation that enables AI-assisted support at scale, powering better search, more reliable recommendations, and faster resolution in the flow of work. In this role, you will strengthen the quality, structure, and governance of internal knowledge so frontline agents and BPO partners can resolve issues efficiently today, while also advancing Pinterest's strategy to use AI to accelerate operational effectiveness and improve support experiences over time. What you'll do: • Be the primary owner for a defined monetization knowledge domain within internal Support documentation, taking ownership of an established knowledge library and driving its ongoing health, consistency, and scalability., • Own the full content lifecycle for internal knowledge including intake, prioritization, drafting and editing, SME review, publishing, maintenance, and sunsetting, ensuring content remains aligned with product changes, operational workflows, and policy and enforcement updates., • Conduct regular content audits to identify outdated guidance, duplication, gaps, broken workflows, and unclear troubleshooting, then deliver and execute a prioritized remediation plan., • Write, edit, and optimize internal knowledge articles so they are actionable, accurate, and easy to navigate for agents, including clear decisioning, troubleshooting steps, escalation paths, and exception handling., • Partner with subject matter experts across Support, Product, Engineering, Policy and Enforcement, and Operations to translate complex technical concepts into accessible, agent-ready guidance., • Improve information architecture and findability across internal knowledge, including taxonomy, templates, cross-linking, naming conventions, and standard article patterns, to reduce time-to-answer and improve case handling consistency., • Develop and maintain content that supports AI-assisted internal support experiences, ensuring knowledge is structured and maintained in ways that improve AI search and recommendations and reduce incorrect or outdated guidance., • Use AI tools to accelerate knowledge article drafting and updates, improving speed to production while maintaining a consistent tone, style, and structure, and ensuring final content is validated through SME review and quality checks., • Refine and maintain knowledge governance and standards including review cadences, approval workflows, versioning and change logs, ownership, and quality checks to ensure reliability and compliance., • Build strong relationships with cross-functional stakeholders to drive timely reviews and ensure knowledge readiness for launches, experiments, and rapid iteration in monetized product areas., • Manage multiple projects and priorities simultaneously, proactively mitigating risks and removing blockers that impact support readiness., • Monitor internal knowledge performance and adoption, such as search success, usage and engagement, and case handling friction signals, to identify improvement opportunities., • Communicate a clear roadmap of knowledge improvements, progress, and outcomes to stakeholders. What we're looking for: • 5+ years of experience in content and knowledge management, technical writing, support operations, or similar roles in a technology company., • 2+ years of experience in Customer Support or User Support knowledge management are highly preferred., • Demonstrated experience owning and improving an existing internal documentation set, including auditing, governance, and iterative optimization, not only net-new writing., • Strong writing and editing skills, with the ability to transform complex technical concepts into clear, actionable internal guidance., • Proven data-driven approach using metrics, tooling insights, and frontline feedback loops to prioritize work and measure impact., • Excellent cross-functional collaboration skills, especially with Product, BPO Vendors, and Support, and the ability to drive alignment and decisions in a fast-moving environment., • Strong project management and prioritization skills, proactive and solutions-oriented, and comfortable operating under ambiguity., • Demonstrated experience using AI tools or AI-powered platforms to improve knowledge and content systems, such as AI search, agent assist, automated content insights, and intent or query analysis., • Ability to apply a quality-first and safety-first approach to AI, including evaluating output accuracy, identifying risks like outdated guidance, ambiguity, and hallucinations, and improving source content and governance to increase reliability., • Working knowledge of internal knowledge and search platforms such as Zendesk Guide, Guru, and or Glean, or demonstrated ability to learn quickly. Relocation Statement: • This position is not eligible for relocation assistance. Visit our ___ page to learn more about our working model. In-Office Requirement Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role., • This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country. #LI-REMOTE #LI-ARMM78 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$98,561—$202,918 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

About 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 ___. 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.