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About Prismera Prismera builds AI for commercial real estate portfolio operations. Our platform ingests unstructured portfolio documents and turns them into structured intelligence that powers how institutional owners and operators manage portfolios worth billions. We handle everything from document understanding and data extraction to agentic portfolio workflows and deal execution. We are backed by industry-leading executives, trusted by publicly traded REITs and national operators, and scaling into the largest institutional CRE firms in the world. The Role This is a founding design engineering role. You will own how Prismera looks, feels, and works: the interface design, the interaction patterns, the frontend implementation, and the systems that tie it all together. The core problem is this: commercial real estate portfolio operations are enormously complex. Hundreds of workflows, thousands of documents, multiple user types ranging from a 25-year-old analyst to a 60-year-old portfolio manager who has been doing this for decades. The instinct most platforms have is to solve complexity with more surface area. More tabs, more pages, more menus. That is not what we are building. You will figure out how to collapse that complexity into something so simple it feels obvious, without losing any of the power underneath. You will write production code. You will ship what you design. You will build relationships with customers across our client base and use those relationships to inform every decision you make about the product. If you think of yourself as someone who hands off Figma files, this is not the right fit. What You'll Do • Own the end-to-end design and frontend implementation of Prismera's product. You design it, you build it, you ship it., • Define the UX patterns for agentic AI workflows: how users interact with AI that acts autonomously on their behalf, how they build trust in its outputs, how they intervene when they need to. This is a new design space with very few established patterns., • Solve the information density problem: enterprise CRE users need access to massive amounts of data without being buried in it. You will design interfaces that surface the right information at the right time and hide everything else., • Build a design system and component library that scales as the product grows, without accumulating technical debt along the way., • Build and maintain direct relationships with an array of enterprise customers. You will be on calls, in Slack channels, and in their workflows regularly. What you learn from those relationships is what drives product decisions. Who You Are • 1-3 years of experience as a design engineer, product designer who codes, or frontend engineer with strong design instincts. What matters is the quality of what you've shipped, not the title you held., • You can go from concept to production code. You are fluent in React and modern frontend tooling, and you write clean, maintainable code., • You think about design in terms of user psychology, not just aesthetics. You care about button radius, but you care more about whether the person using the interface actually understands what is happening and what to do next., • You have strong opinions on simplicity. You believe the hardest design problem is figuring out what to leave out., • You are comfortable designing for users with wildly different levels of technical sophistication using the same product., • Experience designing for AI-native or agentic products is a major plus. If you've thought seriously about how humans should interact with autonomous AI systems, we want to hear about it., • You move fast, ship constantly, and refine based on real usage., • You want to be close to customers. You see direct client relationships not as a distraction from design work, but as the most important input to it., • Bonus: experience with enterprise SaaS, financial services, or complex data-heavy applications. Why Now We have enterprise customers, real revenue, and a product in a market where the incumbent software is decades old and was never designed for what AI makes possible. You would be joining at the earliest stage with the most leverage: not to maintain what exists, but to build what comes next.

Our Client which is a large payroll firm is urgently looking to hire a Sr. Machine Learning Engineer - Recommendation Systems. Sr. Machine Learning Engineer - Recommendation Systems Location: Parsippany, NJ Long Term Contract Hybrid - 3 Days Onsite every week. Interview Process - F2F is a must. • Need a skilled Machine Learning Engineer with expertise in building and optimizing recommendation models to join our dynamic team. The ideal candidate will have hands-on experience designing, implementing, and scaling personalized recommendation systems that drive user engagement and business growth. Key Responsibilities: • Design and develop machine learning models for recommendation systems (e.g., collaborative filtering, Contact based filtering, deep learning, hybrid approaches)., • Optimize models for scalability, performance, and real-time predictions., • Collaborate with data scientists, engineers, and product teams to integrate models into production pipelines., • Analyze and improve recommendation quality using metrics like precision, recall, and user satisfaction., • Experiment with cutting-edge techniques (e.g., reinforcement learning, graph neural networks) to enhance recommendations. Requirements: • 5+ years of experience in machine learning, with a focus on recommendation systems., • Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks., • Strong understanding of algorithms like matrix factorization, neural networks, clustering, Metadata and ranking systems., • Experience with DataBricks and AWS, • Excellent problem-solving skills and a passion for delivering impactful solutions.

Position Summary The Bid Coordinator supports business development and project capture activities during the bid and proposal stage by coordinating communications with customers, suppliers, and internal stakeholders. This role is responsible for supporting pre-award sourcing activities, commercial coordination, quotation follow-up, bid documentation control, and overall proposal execution support. Following project award, this position shall smoothly transit into a procurement contract administration role or a project management support role, depending on business needs and individual capability. The ideal candidate should have at least 3 years of relevant experience in bid/proposal coordination, procurement, project management, or contract management within the rail industry or similar manufacturing / project-based industries. Job Responsibilities • Support bid and proposal activities from RFP/RFQ stage through submission, in coordination with internal departments and external stakeholders., • Act as a key communication interface with suppliers and internal teams regarding bid-related commercial and procurement matters., • Coordinate pre-award sourcing activities as part of strategic procurement initiatives, including supplier outreach, quotation requests, quotation tracking, and commercial clarification., • Communicate bid requirements, schedules, and documentation needs clearly to suppliers and follow up to ensure timely submission of inputs., • Assist in collecting, organizing, and evaluating supplier quotations, commercial terms, lead times, and risk factors for bid review., • Support preparation of bid packages by consolidating procurement-related data, supplier inputs, commercial assumptions, and supporting documentation., • Coordinate with Engineering, Quality, Project Management, and other internal functions to ensure alignment of sourcing strategy, technical requirements, and proposal assumptions., • Track bid schedules, action items, deliverables, and outstanding issues to support on-time and high-quality bid submission., • Maintain organized records of supplier communications, bid documents, commercial files, and internal review materials., • Assist leadership in preparing status updates, bid summaries, sourcing strategies, and key commercial discussion points., • Participate in contractual and commercial discussions with suppliers when required, including terms and conditions, NDAs, SOWs, lead time commitments, and pricing assumptions., • Support transition activities from bid stage to project execution stage after contract award., • Enter and manage relevant data in company systems, including purchasing, sourcing, or project tracking platforms. Experience / Skill Requirements • Experience in bid/proposal coordination, procurement, strategic sourcing, contract management, or project management., • Ability to communicate effectively with suppliers, internal stakeholders, and global teams., • Strong commercial awareness and ability to coordinate multiple workstreams in a deadline-driven environment., • Detail-oriented with strong organizational, documentation, and follow-up skills., • Strong written and verbal communication skills., • Ability to work under pressure in a fast-paced, cross-functional environment., • Proficient in Microsoft Office applications, including Excel, Word, PowerPoint, and Outlook., • Ability to review and understand commercial documents, quotations, technical documents, schedules, BOMs, and related project files., • Strong problem-solving skills and ability to escalate issues appropriately. Job Requirements • Minimum 3 years of relevant experience in procurement, project management, contract management, bid coordination, or related functions., • Experience in the rail industry preferred, or in similar manufacturing / engineer-to-order / project-based industries., • Understanding of supplier coordination, commercial documentation, and project execution processes., • Ability to manage multiple priorities and maintain schedule discipline during critical bid periods., • Must be currently authorized to work for any employer in the United States other than practical training., • Hands-on experience working with cross-functional teams and external business partners preferred.

We are looking for a C++ engineer to design and build high performance, low latency applications that process large volumes of real time data. You will work on systems where microseconds and throughput matter, optimizing every layer from algorithms and data structures to networking and OS interaction. Compensation for USA 140000-200000 USD Gross per year based on the interview process results. Responsibilities: • Design, implement, and maintain high performance C++ services handling high message rates and low latency workloads., • Optimize existing components for latency, throughput, and CPU/memory efficiency., • Develop and tune networking, messaging, and I/O layers to handle large data volumes reliably., • Profile and debug performance issues at application, OS, and network levels., • Collaborate with quantitative, trading, and infrastructure teams (or analogous business/tech teams) to translate requirements into robust technical solutions., • Write clean, production quality code with appropriate tests and documentation., • Participate in code reviews, design discussions, and continuous improvement of engineering practices. Mandatory Skills Description: • Strong proficiency in modern C++ (C++17/20 or later), • Hands-on experience with Market Data, • Solid understanding of concurrency and synchronization (lock free / low lock patterns, atomics, memory models, etc.)., • Proven experience building performance critical, real time, or low latency systems (e.g., networking, trading systems, telemetry, gaming engines, or similar)., • Strong knowledge of computer science fundamentals: data structures, algorithms, memory management, and optimization., • Practical experience with Linux systems programming (sockets, epoll/select, threads, memory management, CPU affinity, etc.)., • Experience using profiling, benchmarking, and performance analysis tools (e.g., perf, valgrind, flame graphs, CPU/memory profilers)., • Proficiency with version control (Git) and standard build systems (CMake, Ninja, etc.)., • Excellent problem-solving skills and attention to detail; ability to work in a fast-paced environment. Nice-to-Have Skills Description: • Experience with kernel bypass or user space networking technologies (e.g., DPDK, RDMA, VMA, Solarflare/OpenOnload) - helpful but not required., • Experience in financial markets, market data distribution, order routing, or exchange connectivity., • Familiarity with common market data protocols (e.g., FIX, MDP, ITCH, proprietary exchange feeds) is a plus., • Experience with multicast, low latency networking, and clock synchronization (e.g., PTP)., • Exposure to hardware aware optimization (NUMA, cache optimization, vectorization/SIMD, CPU pinning)., • Experience with monitoring/telemetry for high performance systems (latency histograms, throughput metrics, SLAs)., • Familiarity with scripting languages (e.g., Python, Bash) for tooling and automation., • KDB+, • Data Analysis with python (pytorch, pandas, arrow)

Supplier Quality Engineer Overview: The Supplier Quality Engineer (SQE) position is responsible to develop positive, partner-oriented relationships with members of MCI’s Supply Chain to continuously improve and monitor supplier performance through auditing and the application of quality tools and performance metrics. The SQE must be a self-motivated individual who possesses the ability to analyze, organize, plan and prioritize assignments/tasks to achieve desired results. This position requires effective interaction with a broad spectrum of people to successfully support operations, customer requirements and the corporate strategic vision. Main job responsibilities: • Identify improvement projects and manages cross functional implementation to improve supply chain performance, • Promote the use of Quality tools and continuous improvement techniques at suppliers to reduce variability, achieve process control and improve the overall quality of processes, systems and MCI’s product(s)/materials., • Develop positive relationships and effective lines of communication with suppliers (partnership-oriented), • Train suppliers to effectively execute Supplier Corrective Action Requests (SCAR), Quality Alerts, Corrective/Preventive Actions (CAPA) implementation, change control and root cause analysis, • Perform periodic audits and evaluate Supplier Quality Systems/processes and flow down of customer requirements to assure conformance to requirements., • Collect and evaluate supplier quality data and performance metrics to manage the Supply Chain score card system., • Recommend suppliers for qualification and/or disqualification based on quality performance, • Evaluate supplier processes, collaborate with suppliers on process improvement and value enhanced opportunities, • Ensure effective communication with MCI Engineering, Operations, Quality Engineering and Procurement to identify opportunities for quality and productivity improvements, • Working directly with suppliers, create corrective action plans and effectively resolve identified issues, • Organize and assume a lead role in presenting the status of “Active Supplier Quality” issues, • Ability to provide training in an effective manner, • Foster a positive, cooperative, and safe work environment through effective communication at all levels of the Marotta organization, • Abide by all safety, quality, housekeeping and company policies/procedures to ensure compliance to various regulatory and internal system requirements Additional job responsibilities: • Foster a positive, cooperative and safe work environment through effective communication at all levels of the Marotta organization, • Abide by all safety, quality, housekeeping and company policies/procedures to ensure compliance to various regulatory and internal system requirements Minimum Requirements: • Minimum of a bachelor’s degree in Mechanical/Electrical/Manufacturing Engineering, • Knowledge of, or experience in a manufacturing/testing environment (Aerospace preferred) Knowledge in the areas of Circuit Card Assemblies (CCA’s) inclusive of IPC J STD-001E/NASA STD-8739 and IPC 610 standards and requirements, • Knowledge of Machining and Measurement processes and equipment., • Minimum of (1) year Quality/Design/Manufacturing Engineering Experience – Supplier Quality field experience preferred, • Knowledge of, or experienced in the areas of special processes (ex. plating, painting, weld, etc.), AS9100 & ISO system standards/requirements, P.O. review/approval, ESD, Foreign Object Debris/damage (FOD) Controls, performance metrics and System/Process audits, • Ability to interpret Military, Commercial aircraft and Space level specifications, dwg’s, and standards, • Knowledge of, or demonstrated track record in the area of Lean concepts, variability analysis, SPC/Process controls, root cause analysis, failure Mode Effects Analysis (FMEA), Six Sigma tools, System/Process auditing, etc., • Knowledge of or experienced use of various measuring/inspection instruments (Coordinate Measuring Machine (CMM), Vision System, mechanical instruments, etc.), • This position requires the eligibility to obtain a security clearance, therefore you must be able to obtain/maintain a security clearance, • Must be a US Citizen Other job requirements: • Must be Computer literate (MS Excel/Word/PowerPoint), flow chart and statistical/analytical software packages, • Strong interpersonal, written, time management, analytical, statistical, problem solving, communication and organizational skills, • Demonstrate the ability to read, interpret documents (i.e. procedures, schematics/technical drawings, etc.), • Position requires a detail-oriented individual who can multi-task, provide leadership (project/assignment related), work in a fast-paced environment and communicate issues in a timely/effective manner. Work Environment: • While performing the duties of this job, the employee is potentially exposed to conditions typical of a manufacturing/machine shop environment, including, but not limited to fluids, fumes or airborne particles, moving mechanical parts, noise and vibration, • This job interacts both in a professional office environment and a manufacturing/machine shop environment. This role uses standard office equipment such as computers, phones, printers/scanners/copier machine, as well as environments inclusive of the appropriate eye, hearing and foot protection (as required)., • Some travel may be required for this position (50% travel), • Full time position Physical Requirements: • While performing the duties of this job, the employee is regularly required to talk and hear., • The employee is frequently required to reach with hands and arms, and to use hands to finger, handle or feel., • Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus., • This position requires the ability to skillfully use measuring instruments, hand tools, • The employee may be required to lift, push, pull and/or move items weighing up to 50 pounds Salary - $87,500 - $115, 000 We offer a highly competitive compensation package for this outstanding position plus a quarterly bonus along with a full range of top quality benefits and employee services including: medical, prescription, dental, vision, life and disability income insurance programs, 401k retirement plans with company match, generous tuition aid program, paid vacation, sick and personal days, paid holidays and flexible work hours with compressed work week options. We recognize and reward our employee's accomplishments and host several employee engagement events per quarter. This position is at our Parsippany, NJ corporate offices location. Many of our contracts require proof that you are a U.S. citizen and/or that an export license has been obtained for employees who are citizens of certain countries. Your employment, both initially and continually thereafter, is conditioned on production of such proof of citizenship and/or any export license that may be required to comply with any and all applicable laws, regulations, or executive orders, or required by Federal, State, or local government contracts. If you are looking to grow or accelerate your career and be part of a best-in-class organization while enjoying a work-life balance, please apply! We are an Affirmative Action and Equal Opportunity employer M/F/IWD/Veterans VETERANS ARE ENCOURAGED TO APPLY As a Federal Contractor, Marotta is required to have all employees vaccinated against COVID-19 or qualify for a religious or medical exemption. No agencies, please.

This role is only open to candidates who are authorized to work in the U.S. permanently. Candidates requiring sponsorship, H1B, STEM OPT, or C2C arrangements now or in the future will not be considered. Seeking an Automation/Controls Engineer to design, develop, and commission PLC and SCADA control systems, provide technical support, and ensure high-quality automation solutions for clients. This role involves programming, troubleshooting, and supporting control system hardware and software, with some travel required for on-site commissioning and support. Responsibilities: Design, develop, and commission PLC and SCADA control system applications, including advanced features such as analog data handling, scripting, and database interfacing. Specify, purchase, and troubleshoot control system hardware and instrumentation, including both field and panel-mounted devices. Review, develop, and approve control system design documents and drawings, ensuring accuracy and adherence to industry standards. Provide on-site commissioning, customer training, validation, and service support, including approximately 10% overnight travel to client locations. Set up, configure, and test computers and software as part of control system integration, including virtualization and thin client technologies. Prepare and maintain technical documentation, including commissioning reports, field service logs, and engineering specifications. Stay current with industry standards, cGMP procedures, and emerging technologies relevant to automation and control systems. Collaborate with project teams, support sales efforts, and deliver exceptional customer service and technical support. Qualifications: Bachelor’s degree in engineering, computer science, or engineering technology required. Minimum of three years’ experience in control system design and programming. Proficiency in programming and commissioning Allen Bradley PLCs (ControlLogix, PLC-5) using RSLogix, and SCADA systems (Wonderware and/or GE iFix). Experience with scripting, security configuration, recipe configuration, database interfacing, and report configuration in SCADA environments. Strong troubleshooting skills and ability to handle multiple assignments. Familiarity with cGMP procedures and validation processes preferred. Valid driver’s license required; ability to travel overnight as needed. Confined space entry training required or willingness to obtain.

Role: Senior Network Engineer Location : Whippany, NJ (Hybrid) Duration: Long term Contract Job Description: High level summary Strong F5 load balancing implementation/support, Cisco ASA, Fortinet Fortigate, Routing/Switching skills. Detailed job description - Purpose of the role To build and maintain infrastructure platforms and products that support applications and data systems, using hardware, software, networks, and cloud computing platforms as required with the aim of ensuring that the infrastructure is reliable, scalable, and secure. Ensure the reliability, availability, and scalability of the systems, platforms, and technology through the application of software engineering techniques, automation, and best practices in incident response. Accountabilities • Build Engineering: Development, delivery, and maintenance of high-quality infrastructure solutions to fulfil business requirements ensuring measurable reliability, performance, availability, and ease of use. Including the identification of the appropriate technologies and solutions to meet business, optimisation, and resourcing requirements., • Incident Management: Monitoring of IT infrastructure and system performance to measure, identify, address, and resolve any potential issues, vulnerabilities, or outages. Use of data to drive down mean time to resolution., • Automation: Development and implementation of automated tasks and processes to improve efficiency and reduce manual intervention, utilising software scripting/coding disciplines., • Security: Implementation of a secure configuration and measures to protect infrastructure against cyber-attacks, vulnerabilities, and other security threats, including protection of hardware, software, and data from unauthorised access., • Teamwork: Cross-functional collaboration with product managers, architects, and other engineers to define IT Infrastructure requirements, devise solutions, and ensure seamless integration and alignment with business objectives via a data driven approach., • Learning: Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Analyst Expectations • To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement., • Requires in-depth technical knowledge and experience in their assigned area of expertise, • Thorough understanding of the underlying principles and concepts within the area of expertise, • They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources., • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others., • OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate., • Will have an impact on the work of related teams within the area., • Partner with other functions and business areas., • Takes responsibility for end results of a team’s operational processing and activities., • Escalate breaches of policies / procedure appropriately., • Take responsibility for embedding new policies/ procedures adopted due to risk mitigation., • Advise and influence decision making within own area of expertise., • Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct., • Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function., • Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function., • Make evaluative judgements based on the analysis of factual information, paying attention to detail., • Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents., • Guide and persuade team members and communicate complex / sensitive information.

Please send current resumes directly to Bhagyashree Yewle, Principal Lead Recruiter - YOH SPG Contract Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite in Jersey City, NJ Location: Jersey City, NJ // Hybrid: 3 days a week Open to W2 and CTC contractors - MUST HAVE HANDS ON Apache Airflow DAG development, dbt Core, Kubernetes, on-prem OpenShift experience MUST HAVE SKILLS • 10+ years of professional experience in data engineering, designing and supporting enterprise-scale data platforms in production environments, • The role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment., • This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup. Estimated Min Rate: $56.00 Estimated Max Rate: $80.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. 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. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice:

Intellibus Consulting is a boutique engineering and AI transformation firm building mission-critical platforms for leading financial institutions. We are hands-on builders — our leaders stay close to architecture, engineering, and production systems while partnering directly with client executives. Job Description We are seeking a proven Technical Delivery Leader with a strong engineering background who has successfully delivered complex fintech or banking platforms within high-performance consulting or enterprise environments. This is a lead-from-the-front, execution-first role — not PMO, not coordination. You will be expected to operate at pace, drive outcomes, and work closely with engineering teams building production-critical systems. We are specifically targeting candidates who have demonstrated sustained success in demanding environments, not those who have transitioned out due to performance or pace constraints. End-to-End Delivery Leadership • Own delivery across multiple engineering teams building fintech/banking platforms., • Drive execution across architecture, development, testing, deployment, and production., • Deliver under tight timelines, regulatory constraints, and high stakeholder expectations. Execution Under Pressure • Operate effectively in fast-paced, high-demand environments., • Manage competing priorities, dependencies, and delivery risks., • Drive teams to meet aggressive timelines without compromising quality. Technical Leadership • Deeply understand and challenge., • System architecture., • API strategies., • Event-driven and distributed systems., • Data pipelines and reconciliation flows., • Partner closely with engineering teams — not operate at a distance. Production & Stability Ownership • Own production readiness and system reliability., • Lead incident reviews, root cause analysis, and stability improvements., • Ensure systems meet enterprise standards for performance, resilience, and compliance. Client & Executive Engagement • Act as the primary delivery partner to senior client stakeholders (VP/CXO)., • Lead executive reviews, roadmap discussions, and escalation management., • Translate business priorities into clear, actionable delivery plans. Consulting & Program Leadership • Lead delivery within consulting environments., • Navigate ambiguity, shifting scope, and stakeholder pressure., • Maintain delivery velocity while protecting engineering quality. Communication & Documentation (Critical) • Create high-quality client-facing materials:, • Architecture overviews., • Delivery plans., • Risk and mitigation frameworks., • Stability and incident reports., • Translate complex technical discussions into structured, executive-ready content. Engineering Depth & Technical Background (Must-Have) Candidates must have a strong engineering background and be comfortable working close to code, architecture, and production systems. We are specifically looking for individuals who have: • Prior hands-on experience as a software engineer (preferably backend), • Strong understanding of:, • Java / Spring Boot–based systems, • Event-driven architecture (Kafka or similar), • Microservices and distributed systems, • UNIX / Linux environments., • Cloud platforms (AWS preferred)., • CI/CD pipelines and release management. Must be able to: • Read and understand code when needed., • Challenge engineers and architects on design, performance, and scalability., • Engage meaningfully in architecture and production discussions. Required Experience Must-Have • 15+ years in technology delivery., • 8–10+ years leading complex engineering programs., • Strong experience in fintech, banking, or capital markets platforms., • Proven track record of successful delivery in fast-paced, high-performance environments. Consulting Pedigree (Highly Preferred) • Experience at: Accenture, IBM, Big 4, or similar consulting environments., • Demonstrated strong tenure and success, not short stints. Technical Depth Strong understanding of: • Distributed systems and microservices., • APIs and event-driven architecture., • Cloud platforms (AWS preferred)., • CI/CD and release management., • Data pipelines, batch processing, and reconciliation., • Monitoring, observability, and incident response. Leadership & Business Skills • Executive-level communication and stakeholder management., • Strong ownership mindset — drives outcomes, not status updates., • Ability to balance strategic thinking with hands-on execution., • Comfortable operating under pressure and defending delivery decisions. Presentation & Documentation (Non-Negotiable) • Exceptional PowerPoint / Google Slides skills., • Strong technical writing ability., • Proven experience presenting to senior stakeholders. What We Are NOT Looking For • PMO / coordination-only profiles., • Candidates without strong engineering foundations., • Profiles lacking fintech/banking platform experience., • Candidates with multiple short stints in consulting roles without proven success., • Individuals unable to operate in fast-paced, high-performance environments. Business & Leadership Skills • MBA or equivalent business leadership experience strongly preferred., • Executive-level communication and stakeholder management skills., • Comfortable owning escalations and defending technical delivery decisions., • Ability to balance strategic planning with hands-on execution. Our Hiring Process • 15-minute introductory call with Intellibus Recruiting Team., • Proctored GQ assessment + Slideware (presentation) evaluation., • Technical & Delivery Leadership Interview (30–45 min)., • Executive Interview., • Offer. If you are interested in reaching out to us, please apply, and our team will contact you within the hour.

As a Senior Engineer, you will play a key role in delivering impactful energy efficiency projects. You will develop and review engineering calculations related to energy usage and savings, ranging from basic to advanced levels of complexity. This role involves conducting fieldwork to verify existing equipment, assess replacements, and identify potential energy-saving opportunities across building systems. You will demonstrate technical expertise in the operation and function of major HVAC components, lighting systems, and renewable energy technologies relevant to energy engineering. Your work will leverage standard methodologies for estimating energy usage and savings, contributing to high-quality deliverables and project outcomes. In addition to technical execution, you will maintain regular interaction with clients and on-site personnel, representing the company with professionalism and clarity. You will also provide supervision and mentorship to Engineers and Project Engineers, offering support and guidance as needed to ensure successful project delivery. This role operates under the direction of an Engineering Manager or higher, with opportunities for increasing responsibility and leadership. At kW we’re proud of our passionate, creative, fun and diverse team, and it is important to us that we continue to find new team members that share the values that make our company an awesome place to work. Our ideal candidate is passionate about energy efficiency and shares our commitment to making a difference. Key Responsibilities • Develop and review engineering calculations to evaluate energy usage and savings, from basic to advanced levels of complexity., • Analyze relationships between energy use and independent variables., • Apply deep knowledge of HVAC systems, lighting technologies, and control strategies to assess building performance and identify energy efficiency opportunities., • Conduct and lead energy audits, field assessments, and verification activities to support project development and implementation., • Perform quality control reviews of engineering analyses, reports, and deliverables prepared by junior staff members., • Supervise and mentor Engineers and Project Engineers, providing guidance on technical tasks and project execution., • Interact regularly with clients, staff, and Vice Presidents to gather information, present findings, and represent the firm in a technical leadership capacity., • Contribute to continuous improvement of internal tools, methods, and workflows to enhance analytical quality and operational efficiency. Perform other duties as needed. What you Need • Bachelor’s degree in Engineering or a related field required; advanced degree or professional certification (e.g., PE, CEM) preferred., • 5+ years of professional experience in energy engineering, building systems, or related fields., • Strong understanding of energy use drivers and the ability to analyze relationships between energy consumption and independent variables., • Demonstrated expertise in engineering principles, building systems (HVAC, lighting, controls), and energy savings calculations., • Proven ability to lead technical work, manage project tasks, and mentor junior staff., • Excellent written and verbal communication skills, with experience presenting technical findings to clients and stakeholders., • Strong organizational skills and attention to detail, with the ability to manage multiple priorities and meet deadlines., • Proficiency in Microsoft Office Suite; familiarity with energy modeling tools, scripting, or data analysis software a plus., • Ability to work both independently and collaboratively in a fast-paced environment., • Proactive mindset and a commitment to continuous learning and process improvement Our compensation and benefits packet is competitive: • Competitive salary, • Opportunity for growth/internal promotion, • Group health insurance, • Generous vacation and sick time, • Flexible work hours, • 401(k) matching, • Educational assistance

Head of Intelligence New York City (On-Site) | $140,000–$155,000 + Equity | Full Benefits The Company The company is a venture-backed claims intelligence startup building technology that helps insurers and businesses identify and prevent property and casualty insurance fraud. Our platform analyzes data across employers, insurers, contractors, and other sources to uncover fraud networks that cost the U.S. economy billions annually. They are not a mile-wide, inch-deep solution. The company goes a mile deep—finding social media accounts under aliases, uncovering post-claim activity that contradicts injury narratives, and mapping fraud rings that look more like criminal networks than simple one-off schemes. Our clients already see enormous value from what we do; now we need someone to help us do it at scale. The Opportunity We are hiring a Head of Intelligence to own and operationalize our investigative intelligence function. This is a hands-on, execution-first role. You are not coming in to write strategy decks or build an empire of analysts—you are coming in to do the work, build repeatable processes around it, and work directly with our engineering and data science teams to turn manual tradecraft into scalable, programmatic solutions. The strategy is already defined. We know what our clients will pay for. What we need is someone who can execute at a high level and figure out how to do it faster, better, and at volume. What You Will Do • Conduct and lead structured OSINT investigations to locate individuals, uncover hidden social media accounts, and surface post-claim activity that contradicts reported injuries. This is what you will spend most of your time doing, especially early on., • Identify and map fraud networks and identity relationships across claims—connecting claimants, contractors, and accomplices using network analysis techniques similar to those used in counterterrorism and criminal intelligence., • Evaluate and integrate off-the-shelf intelligence tools (commercial OSINT platforms, social media monitoring, identity resolution tools) into they company’s workflows, configuring them for our specific use cases to get 80% of the way there before custom engineering takes over., • Partner directly with our machine learning engineer, CTO, and data science team to convert investigative insights and manual processes into structured data signals that feed our fraud scoring models., • Build repeatable, scalable processes for intelligence collection, validation, and documentation—taking what currently works at a dozen investigations per week and making it work at thousands., • Produce intelligence products that support fraud investigations, litigation defense, and client decision-making., • Manage a small number of offshore analysts performing manual research, with the potential to grow the team over time based on results. What We Are Looking For Required • Demonstrated, hands-on OSINT expertise. You have personally conducted structured open-source investigations—finding people who don’t want to be found, locating accounts under aliases, pulling actionable intelligence from social media, public records, deep web sources, and foreign-language content. This is not a “I managed a team that did OSINT” role. You need to be the person who can sit down and do the work., • Experience with identity networks and link analysis. You think in networks, not individuals. You understand how to map relationships between people, entities, and claims—whether that background comes from counterterrorism, criminal intelligence, fraud investigation, or similar domains., • Comfort working with technical teams. You do not need to be a software engineer, but you need to understand how data pipelines, APIs, and intelligence platforms work well enough to tell an engineering team exactly what needs to be built and why. You should be able to articulate investigative logic in terms that data scientists can operationalize., • Execution orientation. You are in the 3–7 year experience range (military, government, private sector, or a mix) and still deeply engaged in doing investigative work—not someone who has moved entirely into management or strategy., • Willingness to relocate to New York City. This is a fully on-site role in our Manhattan office. There is no remote or hybrid option. Strongly Preferred • Military intelligence, HUMINT, SIGINT, or CI background—especially if you conducted or supported network-based targeting or identity analysis., • Experience at federal agencies (DHS, DoS, CISA, FBI, FEMA, or IC elements) in roles involving threat intelligence, fraud investigation, or counter-disinformation., • Familiarity with commercial OSINT and intelligence platforms (Recorded Future, Maltego, Babel Street, Skopenow, open-source tools, etc.) and a track record of configuring off-the-shelf tools for specific mission sets., • Insurance fraud, litigation support, or financial crime investigation experience., • Exposure to graph databases (Neo4j or similar) or network visualization tools., • Working knowledge of Spanish, Portuguese, or other languages relevant to Central and South American open-source research. What This Role Is Not To be direct: this is not a role where you come in, hire a team of analysts on day one, and manage from a distance. Early on, you are the analyst, the investigator, and the process builder. You will have support from our existing team and engineering resources, but you need to be comfortable being the person in the weeds doing the investigative work while simultaneously thinking about how to scale it. We are also not looking for someone whose primary orientation is strategy and business development. We know the strategy. We need someone who can execute it. Compensation & Benefits • Base salary: $140,000–$155,000, • Equity participation, • 100% employer-paid medical coverage, • Dental and vision coverage, • On-site in Manhattan (currently Midtown, relocating to Chelsea) Reports To CTO and COO

Summary We are seeking a highly skilled Data Engineer to build and manage our data infrastructure. The ideal candidate will be an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. You will ensure data is accurate, accessible, and optimized for performance to support business intelligence, analytics, and reporting needs. Key Responsibilities • Database Design & Management: Design, develop, and maintain relational databases (e.g. SQL Server, ProgressSQL, Oracle) and cloud-based data warehouses., • Strategic SQL and Data Engineering: Develop sophisticated, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets for actionable business insights., • Data Pipeline Automation & Orchestration:Help build, automate, and orchestrate ETL/ELT workflows utilizing SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources., • Performance Optimization: Tune queries and optimize database schema (indexing, partitioning, normalization) to improve data retrieval and processing speeds., • Data Integrity & Security: Ensure data quality, consistency, and integrity across systems. Implement data masking, encryption, and role-based access control (RBAC)., • Documentation: Maintain technical documentation for database schemas, data dictionaries, and ETL workflows. Required Skills and Qualifications • Education: Bachelor’s degree in computer science, Information Systems, or a related field., • SQL Mastery: 5+ years of experience with advanced SQL (window functions, CTEs, query optimization)., • Database Expertise: Deep understanding of relational database management systems (RDBMS) and data modeling techniques., • Cloud Platforms: Demonstrated experience with Azure Data Services and other data warehouse technologies., • Programming: Proficiency in Python for scripting and data manipulation., • ETL Tools: Familiarity with tools like SSIS or Azure Data Factory., • Experience with NoSQL databases (Cosmos DB, MongoDB)., • Experience with big data frameworks (Apache Spark, Kafka)., • Tools Used: SQL IDEs (DBeaver, SSMS), Cloud Consoles, Git, Jira, SSIS., • Industry: Leasing. Salary is $130-$140k NOTE: NOT accepting C2C (Corp-to-Corp) or C2H (Contract-to-Hire)

Job Title: Mechanical Engineer II Location: New York, New York Duration: 6 Months W2 Contract (potential extensions) Our client is seeking a Mechanical Engineer with rapid prototyping, fixture development, and mechanical testing experience to contribute to wearable program, we seek someone with the curiosity to research and investigate the design and functionality of a new class of wearable technology. In this role, you will prototype and rework design concepts, generate fixture designs, make engineering drawings, execute testing, and analyze results. The role is 100% in-office in NYC. Years of experience needed: At least 3 years of experience, Candidates should be senior enough to own components independently Top 3 must-have HARD skills: • Mechanical design for consumer electronics (NX, SolidWorks, or equivalent parametric CAD), • Hands-on prototyping and fabrication (3D printing, CNC, fixture design, bench-level assembly and debug), • DFM experience with injection molding and/or sheet metal (tolerance stackups, GD&T, vendor drawing packages) Good to have skills: • Experience with wearable devices or miniaturized assemblies, • Familiarity with textile integration or flexible materials, • Comfort with test fixture design and bench-level reliability testing, • Working knowledge of thermal and structural FEA Responsibilities: • Research, design, develop, manufacture, and test wearable devices with a focus on rapid prototyping and device rework/repair, • Design mechanical test fixtures for both subsystem and system-level characterization and generate testing procedures, • Plan and execute Design of Experiments (DOEs) to evaluate key performance indicators for a wearable product, • Execute mechanical testing to characterize hardware using both standard and custom testing procedures, including 3-point bend testing for band stiffness and environmental testing, • Analyze test data against hardware specifications and contribute to the development of new KPI specs, • Assist on device failure analysis and conduct root cause investigations, • Provide 2D/3D CAD models of fixture and prototype concepts, • 100% in-office and lab work in NYC to include prototype assembly and rework, fixture development, and mechanical testing Education/Experience: • Bachelor's degree in mechanical engineering or a related field required

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Description At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that provide them with an opportunity to thrive, professionally and personally. For us, helping you grow your career is good business. Leidos is seeking Distribution Engineers & Designers in New Jersey who are passionate about electric utility design engineering. We’re looking for someone who is dedicated to ensuring that every project, no matter how simple or complex, is of exceptional quality. You'll be working directly with clients to make sure that Leidos' reputation for high-quality work is always maintained. If you join us in this role, you'll gain expertise in a variety of areas, including NESC, Structural Pole Modeling, Electrical Power Calculations, GIS design training, Field Data Collection, and Client Design Standards. Your greatest work is ahead! Travel: This position has remote-working capabilities, but candidates must be located within a commutable distance of our New Jersey support areas in order to be considered, so we can provide support to our local utility customer as needed. The selected candidate(s) will be expected to be available for in-person meetings and assignments throughout the customer territory in New Jersey on an as-needed basis. As a Distribution Engineer / Designer, you can expect to: • Independently develop design and construction work packages for electrical overhead and underground distribution systems for Leidos electric utility customers, • Review work provided by Client and assess requirements of scopes., • Perform engineering calculations such as: structural analysis for wood pole loading, guying calculations, specifying conductor sags and tensions for recommended spans, and calculation of voltage drop and flicker., • Provide engineering support during construction, including post-construction reviews to ensure all applicable engineering and construction standards have been met., • Conduct root cause analysis of outages and mitigation using engineering principles and design, • Gain experience in coordinating conflicting utilities and other field engineering design requirements, assessing and developing large design packages for complex cable/conduit projects in dense urban environments, work permit development, easements, and ROW applications What Sets You Apart (Background Requirements): • 2+ years of prior relevant experience is required., • Bachelor's Degree (Electrical, Mechanical, Civil, or Industrial preferred); additional relevant experience/certifications may be considered in lieu of bachelor's degree, • Experience with the execution of distribution projects from kickoff through design approved, including Customer interaction and Process documentation, • Experience with utility reliability projects, • Ability to demonstrate proficiency with the NESC, • Ability to utilize a personal vehicle, as some customer-related travel could be anticipated (Job-related travel will be reimbursed at IRS-approved rates), • Willingness to perform both field and office work; Ability to work in outdoor environments on occasion; The role may require customer-site visits to collect field data that will assist in developing work packages, • Candidates should possess valid U.S. driver's license, as some local or regional travel is expected Nice to Haves: • Previous QAQC experience, • Experience providing estimated costs, development of a BOM, calculating the CIAC, • Experience with design tools such as Pole Foreman, O-Calc, Spida-Calc, • Experience with the Work Management System CREWS, • Relevant management or leadership experience Professional Attributes that will help you succeed in this role: • Strong communication skills, written and interpersonal communications skills and supporting of customer advocacy, • Collaborative and inclusive of individuals of diverse backgrounds and geographic locations, • Positive attitude, • Ability to work with limited supervision, • Professional dress and demeanor, • Attention to detail & Highly organized, • Excellent time management At Leidos, we pride ourselves on being a trusted and technology-focused solutions provider. Our Power Delivery Services Team is the go-to for utilities and mobile operators who need reliable power and telecommunication expertise. We've worked with over 50 investor-owned utilities, over 160 municipals/cooperatives, and we're continuing to expand our reach. Plus, we've got an amazing group of industry-leading construction partners who help us deliver meaningful Energy Delivery Solutions. Our recognition as an industry leader has been confirmed time and time again. Engineering News-Record (ENR) has ranked Leidos among the Top 10 T&D Firms and Top 10 Power Firms. As a valued team member, you can look forward to a fast paced, diverse work environment and flexible work hours/work arrangements, as well as managers who will encourage career development and growth opportunities, including Professional Engineer License (PE), Project Management Professional (PMP), Leadership training, Formal Mentorship Programs, Management opportunities. PDSDLINE PowerDelivery If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. March 27, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $59,150.00 - $106,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Remote

Description At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that provide them with an opportunity to thrive, professionally and personally. For us, helping you grow your career is good business. Leidos is seeking Distribution Engineers & Designers in New Jersey who are passionate about electric utility design engineering. We’re looking for someone who is dedicated to ensuring that every project, no matter how simple or complex, is of exceptional quality. You'll be working directly with clients to make sure that Leidos' reputation for high-quality work is always maintained. If you join us in this role, you'll gain expertise in a variety of areas, including NESC, Structural Pole Modeling, Electrical Power Calculations, GIS design training, Field Data Collection, and Client Design Standards. Your greatest work is ahead! Travel: This position has remote-working capabilities, but candidates must be located within a commutable distance of our New Jersey support areas in order to be considered, so we can provide support to our local utility customer as needed. The selected candidate(s) will be expected to be available for in-person meetings and assignments throughout the customer territory in New Jersey on an as-needed basis. As a Distribution Engineer / Designer, you can expect to: • Independently develop design and construction work packages for electrical overhead and underground distribution systems for Leidos electric utility customers, • Review work provided by Client and assess requirements of scopes., • Perform engineering calculations such as: structural analysis for wood pole loading, guying calculations, specifying conductor sags and tensions for recommended spans, and calculation of voltage drop and flicker., • Provide engineering support during construction, including post-construction reviews to ensure all applicable engineering and construction standards have been met., • Conduct root cause analysis of outages and mitigation using engineering principles and design, • Gain experience in coordinating conflicting utilities and other field engineering design requirements, assessing and developing large design packages for complex cable/conduit projects in dense urban environments, work permit development, easements, and ROW applications What Sets You Apart (Background Requirements): • 2+ years of prior relevant experience is required., • Bachelor's Degree (Electrical, Mechanical, Civil, or Industrial preferred); additional relevant experience/certifications may be considered in lieu of bachelor's degree, • Experience with the execution of distribution projects from kickoff through design approved, including Customer interaction and Process documentation, • Experience with utility reliability projects, • Ability to demonstrate proficiency with the NESC, • Ability to utilize a personal vehicle, as some customer-related travel could be anticipated (Job-related travel will be reimbursed at IRS-approved rates), • Willingness to perform both field and office work; Ability to work in outdoor environments on occasion; The role may require customer-site visits to collect field data that will assist in developing work packages, • Candidates should possess valid U.S. driver's license, as some local or regional travel is expected Nice to Haves: • Previous QAQC experience, • Experience providing estimated costs, development of a BOM, calculating the CIAC, • Experience with design tools such as Pole Foreman, O-Calc, Spida-Calc, • Experience with the Work Management System CREWS, • Relevant management or leadership experience Professional Attributes that will help you succeed in this role: • Strong communication skills, written and interpersonal communications skills and supporting of customer advocacy, • Collaborative and inclusive of individuals of diverse backgrounds and geographic locations, • Positive attitude, • Ability to work with limited supervision, • Professional dress and demeanor, • Attention to detail & Highly organized, • Excellent time management At Leidos, we pride ourselves on being a trusted and technology-focused solutions provider. Our Power Delivery Services Team is the go-to for utilities and mobile operators who need reliable power and telecommunication expertise. We've worked with over 50 investor-owned utilities, over 160 municipals/cooperatives, and we're continuing to expand our reach. Plus, we've got an amazing group of industry-leading construction partners who help us deliver meaningful Energy Delivery Solutions. Our recognition as an industry leader has been confirmed time and time again. Engineering News-Record (ENR) has ranked Leidos among the Top 10 T&D Firms and Top 10 Power Firms. As a valued team member, you can look forward to a fast paced, diverse work environment and flexible work hours/work arrangements, as well as managers who will encourage career development and growth opportunities, including Professional Engineer License (PE), Project Management Professional (PMP), Leadership training, Formal Mentorship Programs, Management opportunities. PDSDLINE PowerDelivery If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. March 27, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $59,150.00 - $106,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Remote

The Training Fund of the International Union of Operating Engineers, Local 94-94A-94B, AFL-CIO (“Training Fund” or “Fund”), located in New York City, seeks an Assistant Training Director. Founded in 1986, the Training Fund offers job training programs to members of the International Union of Operating Engineers Local Union 94, 94A, 94B (“Local 94” or “Union”). Local 94 represents building engineers and stationary engineers in the New York metropolitan area, who operate and maintain mechanical systems, such as HVAC and plumbing, in large commercial, residential, and institutional buildings. The programs provided by the Training Fund equip members with the tools and knowledge required to meet the evolving needs of the New York City real estate industry, with an emphasis on technical, mechanical, and electrical competencies - including indoor air quality, environmental controls, electrical systems, and computer-controlled building operations. Please visit ___ for more information about the Training Fund. Reporting to the Training Director, the Assistant Training Director will support the day-to-day administration of the training program and partner with instructional staff to ensure timely, high-quality training aligned with advancements in building operations and maintenance. Primary responsibilities entail supporting curriculum development, conducting program evaluations, and contributing to strategic planning initiatives aimed at future growth. The Assistant Training Director also collaborates with administrative staff to manage course scheduling and supports the supervision of instructors and program staff. This position requires a full-time in-office presence. A remote arrangement is not available. Responsibilities In addition to the above, key responsibilities include: • Implement and monitor the comprehensive course schedule each semester., • Consult with instructors and management leadership on curriculum and other technical matters., • Conduct research and data collection in support of the Training Director, including review of mechanical, building, fire, and other applicable codes., • Develop and present recommendations to strengthen training policies and procedures., • Support the procurement of mechanical and instructional equipment, technology tools, and platforms used for current and future training needs., • Communicate effectively with internal and external stakeholders, including partner organizations such as FDNY, BOMA, and REBNY., • Assist in preparing and presenting Training Fund materials and updates to the Board of Trustees., • Perform additional duties as assigned by the Training Director. Qualifications The ideal candidate brings: • Bachelor’s degree and advanced degree preferred., • Q01 or Q99 Certificate of Fitness with NYC Fire Department required., • A minimum of five years of relevant field experience in building operations and maintenance (e.g., Chief Engineer) is required., • Prior experience in an adult educational, teaching or training role strongly preferred., • Working knowledge of applicable NYC fire and building codes and regulations required., • Prior administration experience is a plus., • Familiarity with public policy and the policy-making process., • Experience working with nonprofit organizations and curriculum management., • Excellent analytical, writing, and verbal communication skills., • Demonstrated ability to assess, improve, and redesign administrative operations and procedures., • Ability to work independently and collaboratively in a fast-paced, complex environment. To Apply In addition to an annual compensation range of $150,000 - $200,000 commensurate with experience, the Fund offers a comprehensive benefits package, including fully employer paid family health insurance benefits, two defined benefit plans and a defined contribution plan. Additionally, there is a generous package of paid vacation days and holidays, and a life insurance benefit. The Fund is an affirmative action employer and encourages applications from all qualified candidates regardless of gender, race, ethnicity, age, sexual orientation, marital status, religion, or disability. To apply, please send your resume and salary requirements to . Please include job reference code 0426IUOE94LI in the subject line or with your application.

As a Data Science/Data Engineer Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience. RESPONSIBILITIES • Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling., • Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks., • Help implement data quality checks, validation routines, and monitoring for automated data workflows., • Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices., • Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development., • Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake., • Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL., • Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets., • Participate in model development, including data profiling, model training, validation, and interpretation., • Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk., • Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value., • Collaborate with business leaders to translate insights into operational improvements and cost efficiencies. QUALIFICATIONS • Currently pursuing or recently completed a Master’s in Data Science, Computer Science, Statistics, Economics, or related field., • Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL., • Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment., • Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development., • Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred., • Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus., • Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects., • Strong analytical, communication, and problem-solving skills., • A self-starter mindset, with attention to detail and enthusiasm for learning new technologies. SALARY RANGE The pay range for this position is $35 hourly. ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent."

Please send current resumes directly to Bhagyashree Yewle, Principal Lead Recruiter - YOH SPG Contract Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite in Jersey City, NJ Location: Jersey City, NJ // Hybrid: 3 days a week Open to W2 and CTC contractors - MUST HAVE HANDS ON Apache Airflow DAG development, dbt Core, Kubernetes, on-prem OpenShift experience MUST HAVE SKILLS • 10+ years of professional experience in data engineering, designing and supporting enterprise-scale data platforms in production environments, • The role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment., • This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup. Estimated Min Rate: $56.00 Estimated Max Rate: $80.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. 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. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice:

Intellibus Consulting is a boutique engineering and AI transformation firm building mission-critical platforms for leading financial institutions. We are hands-on builders — our leaders stay close to architecture, engineering, and production systems while partnering directly with client executives. Job Description We are seeking a proven Technical Delivery Leader with a strong engineering background who has successfully delivered complex fintech or banking platforms within high-performance consulting or enterprise environments. This is a lead-from-the-front, execution-first role — not PMO, not coordination. You will be expected to operate at pace, drive outcomes, and work closely with engineering teams building production-critical systems. We are specifically targeting candidates who have demonstrated sustained success in demanding environments, not those who have transitioned out due to performance or pace constraints. End-to-End Delivery Leadership • Own delivery across multiple engineering teams building fintech/banking platforms., • Drive execution across architecture, development, testing, deployment, and production., • Deliver under tight timelines, regulatory constraints, and high stakeholder expectations. Execution Under Pressure • Operate effectively in fast-paced, high-demand environments., • Manage competing priorities, dependencies, and delivery risks., • Drive teams to meet aggressive timelines without compromising quality. Technical Leadership • Deeply understand and challenge., • System architecture., • API strategies., • Event-driven and distributed systems., • Data pipelines and reconciliation flows., • Partner closely with engineering teams — not operate at a distance. Production & Stability Ownership • Own production readiness and system reliability., • Lead incident reviews, root cause analysis, and stability improvements., • Ensure systems meet enterprise standards for performance, resilience, and compliance. Client & Executive Engagement • Act as the primary delivery partner to senior client stakeholders (VP/CXO)., • Lead executive reviews, roadmap discussions, and escalation management., • Translate business priorities into clear, actionable delivery plans. Consulting & Program Leadership • Lead delivery within consulting environments., • Navigate ambiguity, shifting scope, and stakeholder pressure., • Maintain delivery velocity while protecting engineering quality. Communication & Documentation (Critical) • Create high-quality client-facing materials:, • Architecture overviews., • Delivery plans., • Risk and mitigation frameworks., • Stability and incident reports., • Translate complex technical discussions into structured, executive-ready content. Engineering Depth & Technical Background (Must-Have) Candidates must have a strong engineering background and be comfortable working close to code, architecture, and production systems. We are specifically looking for individuals who have: • Prior hands-on experience as a software engineer (preferably backend), • Strong understanding of:, • Java / Spring Boot–based systems, • Event-driven architecture (Kafka or similar), • Microservices and distributed systems, • UNIX / Linux environments., • Cloud platforms (AWS preferred)., • CI/CD pipelines and release management. Must be able to: • Read and understand code when needed., • Challenge engineers and architects on design, performance, and scalability., • Engage meaningfully in architecture and production discussions. Required Experience Must-Have • 15+ years in technology delivery., • 8–10+ years leading complex engineering programs., • Strong experience in fintech, banking, or capital markets platforms., • Proven track record of successful delivery in fast-paced, high-performance environments. Consulting Pedigree (Highly Preferred) • Experience at: Accenture, IBM, Big 4, or similar consulting environments., • Demonstrated strong tenure and success, not short stints. Technical Depth Strong understanding of: • Distributed systems and microservices., • APIs and event-driven architecture., • Cloud platforms (AWS preferred)., • CI/CD and release management., • Data pipelines, batch processing, and reconciliation., • Monitoring, observability, and incident response. Leadership & Business Skills • Executive-level communication and stakeholder management., • Strong ownership mindset — drives outcomes, not status updates., • Ability to balance strategic thinking with hands-on execution., • Comfortable operating under pressure and defending delivery decisions. Presentation & Documentation (Non-Negotiable) • Exceptional PowerPoint / Google Slides skills., • Strong technical writing ability., • Proven experience presenting to senior stakeholders. What We Are NOT Looking For • PMO / coordination-only profiles., • Candidates without strong engineering foundations., • Profiles lacking fintech/banking platform experience., • Candidates with multiple short stints in consulting roles without proven success., • Individuals unable to operate in fast-paced, high-performance environments. Business & Leadership Skills • MBA or equivalent business leadership experience strongly preferred., • Executive-level communication and stakeholder management skills., • Comfortable owning escalations and defending technical delivery decisions., • Ability to balance strategic planning with hands-on execution. Our Hiring Process • 15-minute introductory call with Intellibus Recruiting Team., • Proctored GQ assessment + Slideware (presentation) evaluation., • Technical & Delivery Leadership Interview (30–45 min)., • Executive Interview., • Offer. If you are interested in reaching out to us, please apply, and our team will contact you within the hour.

Required Skills & Experience • Bachelor’s degree in Mechanical, Electrical, Materials, Reliability, Industrial Engineering, or Physics., • 3–5 years of experience as a Reliability Engineer in the semiconductor or a similar industry., • Knowledge of industry standards such as JEDEC, MIL-STD-883, MIL-STD-202, and AEC-Q., • Experience applying Qualification by Similarity methods., • Hands-on experience with environmental, mechanical, and ESD stress testing., • Skilled in problem-solving and leading root cause analysis efforts., • Familiar with MTTF and MTBF calculations., • Proficient in reliability prediction modeling using tools like Weibull++ or similar software., • Strong data analysis skills using tools such as Advanced Excel, JMP, and Minitab., • Ability to analyze reliability test data across various components and design variations., • Experience with Design of Experiments (DOE), FMEA, product design reviews, and Design for Manufacturability (DFM). Nice to Have Skills & Experience • Advanced degree preferred. Job Description Insight Global is looking for a Reliability Engineer who will be responsible for conducting reliability studies of existing products and coordinating new product qualification prior to market release. The candidate will work in collaboration with various teams including Reliability, Design Engineering, Product Engineering, Failure Analysis and Project Management teams. • Join product development meetings to help ensure new products meet internal and customer requirements., • Create qualification plans for new products, mainly MMICs, and support other product types like LTCC, PCBA, RF accessories, and Core & Wire products., • Compare new products with existing ones to identify similarities in packaging, die process, and design, allowing for streamlined qualification through Qualification by Similarity., • Plan and run device-level and package-level qualification tests, including MSL pre-conditioning, thermal cycling, UHAST, HTSL, ESD, and life tests., • Define ESD tests (HBM and CDM) following JEDEC standards., • Work with Engineering Test Teams to carry out Accelerated Life Tests and High Temperature Operating Life Tests., • Perform mechanical stress tests such as vibration, shock, constant acceleration, and bend testing., • Coordinate with external labs for outsourced testing., • Review RF test data before and after stress tests to assess performance changes., • Collaborate with Failure Analysis teams to identify root causes of product failures., • Document any non-conformities and track corrective actions to ensure they are effective., • Ensure qualification tasks are completed on time and report any delays., • Share qualification results with stakeholders to support design improvements for reliability., • Write reports summarizing product performance and failure analysis for internal and customer use., • Communicate with customers and suppliers about product reliability when needed., • Work with suppliers to purchase lab equipment., • Support reliability checks for products already in production or returned by customers., • Promote ISO9001/AS9100 quality standards.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack-from React/TypeScript frontends to Python-based backends-while integrating with LLMs and machine learning systems. You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment. • Own major full-stack product areas, driving features from design through production deployment., • Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness., • Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components., • Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences., • Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers., • Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP., • Adapt quickly-learning new technologies, frameworks, and tools as needed across the stack., • 5+ years of full-time engineering experience, post-graduation., • Strong experience developing full-stack applications using React, TypeScript, and Python., • Experience scaling or shipping products at high-growth startups., • Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome)., • Proficiency with SQL and modern API development., • Experience with Kubernetes, containerization, and microservice architectures. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Construction Engineer will oversee the construction of Under Ground HV 345kV transmission lines, ensuring all activities align with design specifications, safety regulations, and project timelines. The role requires experience in UG HV 345kV transmission lines construction. The engineer will work closely with project managers, contractors, and other stakeholders to ensure the successful completion of the project. A Construction Engineer may have background from one of the engineering disciplines. The duration of a provisional position is not to exceed three years but is subject to change based on performance and business needs. Provisional employees are eligible for: a range of benefits customized to your individual and family needs such as medical, dental, vision, flexible spending accounts, a retirement plan, 401(k)plan, employee assistance program, vacation, sick time, holidays, medical and parental leave. . • Provide construction engineer function in support of a wide range of construction projects and operations and maintenance activities., • Perform site visits to complete field inspections, condition assessments, and equipment evaluations and develop technical recommendations with moderate complexity., • Perform occasional emergency response, including outside of normal business hours., • Independently coordinate cross disciplinary activities for the successful development and execution of projects., • Focus on awareness of applicable codes, standards and procedures to work tasks appropriately., • Perform inspections and evaluations to ensure engineering requirements and Authority specifications are satisfied., • Review designs,, specifications, and reports produced by other internal engineers and external consultants., • Provide direction and review of the construction personnel in the development of the construction activities., • Work independently on smaller construction projects with smaller scopes and maintain oversight of schedule, quality, safety and scope., • Working knowledge to be able to inspect in-progress construction work to ensure compliance with the contract documents, specifications, permits, and drawings., • Ability to read, and interpret construction drawings and specifications to determine if the contractor is meeting the engineer of records design intent, • Ability to prepare a construction management daily construction observation field report documenting contractor progress, • Liaison between the Project Management division and the operating facility, and between Headquarters and on-site staff. For projects at NYPA sites, act as the Project Management division's chief on-site spokesperson; maintain harmonious liaison with the operating facilities, clients, local government agencies, community groups, and other organizations., • Represent the Authority at industry conferences committees or task forces, • For assigned work and projects, provide supervision of maintenance department(s) staff, and contractors, and prepare and monitor the day-to-day work activities of the crafts. Work with planners in scheduling work activities; oversee the safety of employees. Review job packages to ensure they are complete and current prior to performance of the work. Review completed work, job packages, and work orders to verify all steps are complete and to ensure that all data/information is recorded., • Proficient in the construction of electrical, mechanical, structural, and water systems specific to the electric utility industry or building construction/ renovation industry., • Working knowledge of electric utility or commercial and industrial facilities and their various systems and components]., • Ability to apply diverse technical principles and practices, with the understanding of the NYPA's policies, operations and objectives, to constructability reviews., • Working knowledge of applicable codes, standards, regulations., • Strong verbal and written communication skills., • Collaborative and team-oriented with ability to build relationships with vendors and stakeholders., • Ability to coordinate the technical and commercial aspects of projects., • Ability to perform engineering calculations, and complete specifications, scopes of work, reports, and interdisciplinary design packages., • Competent in the use of Microsoft Office applications., • Working experience with Procore or Primavera preferred., • Ability to effectively manage and prioritize multiple projects., • Bachelor of Science Degree in Electrical, Mechanical, or Civil Engineering, or equivalent, from an accredited college or university., • Minimum of eight (8) years of work-related experience preferred., • New York State Fundamentals of Engineering (FE) certification preferred., • This role is required to be or become a CPP-1/LOTO clearance holder within 24 months and maintain it for the duration of time in the role., • Daily inspection of work areas throughout facility/Project Site, • Travel within New York State will likely be required. Posting to a remote work site may be a possibility., • Willingness to enter confined spaces and climb/scale certain equipment is required The New York Power Authority is committed to providing fair, competitive, and market-informed compensation. The estimated salary range for this position is $120,000 - $150,000. The salary offered will be determined based on the successful candidates' relevant experience, knowledge, skills, and abilities. The New York Power Authority and Canal Corporation believes that diversity, equity, and inclusion drive our success, and we encourage women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents and veterans to apply. As an equal opportunity employer, NYPA/Canals is committed to building inclusive, innovative work environments with employees who reflect communities across New York and enthusiastically serve them. We proudly celebrate diversity and do not discriminate based on race/color, creed/religion, national origin, citizenship or immigration status, age, disability, military status, gender/sex, sexual orientation, gender identity/expression, pregnancy and related conditions, familial/marital status, domestic violence victim status, predisposing genetic characteristics, arrest/criminal conviction record or any other category protected by law. NYPA/Canals will also provide reasonable accommodations during the hiring process related to candidates' disabilities, pregnancy-related conditions, religious observances/practices and/or domestic violence concerns. To request an accommodation, please email___.

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

Scale AI is seeking a technically rigorous and driven AI Research Engineer to join our Enterprise Evaluations team. This high-impact role is critical to our mission of delivering the industry's leading GenAI Evaluation Suite. You will be a hands-on contributor to the core systems that ensure the safety, reliability, and continuous improvement of LLM-powered workflows and agents for the enterprise. The ideal candidate has a strong foundational knowledge of large language models, a passion for tackling complex evaluation challenges, and thrives in a dynamic, fast-paced research environment. We are looking for an engineer who can think outside the box, stays current with the latest literature in AI evaluation, and is passionate about integrating novel research ideas into our workflows to build best-in-class evaluation systems. • Partner with Scale's Operations team and enterprise customers to translate ambiguity into structured evaluation data, guiding the creation and maintenance of gold-standard human-rated datasets and expert rubrics that anchor AI evaluation systems., • Analyze feedback and collected data to identify patterns, refine evaluation frameworks, and establish iterative improvement loops that enhance the quality and relevance of human-curated assessments., • Design, research, and develop LLM-as-a-Judge autorater frameworks and AI-assisted evaluation systems. This includes creating models that critique, grade, and explain agent outputs (e.g., RLAIF, model-judging-model setups), along with scalable evaluation pipelines and diagnostic tools., • Pursue research initiatives that explore new methodologies for automatically analyzing, evaluating, and improving the behavior of enterprise agents, pushing the boundaries of how AI systems are assessed and optimized in real-world contexts., • Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience., • 2+ years of experience in Machine Learning or Applied Research, focused on applied ML systems or evaluation infrastructure., • Hands-on experience with Large Language Models (LLMs) and Generative AI in professional or research environments., • Strong understanding of frontier model evaluation methodologies and the current research landscape., • Proficiency in Python and major ML frameworks (e.g., PyTorch, TensorFlow)., • Solid engineering and statistical analysis foundation, with experience developing data-driven methods for assessing model quality., • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field., • Published research in leading ML or AI conferences such as NeurIPS, ICML, ICLR, or KDD., • Experience designing, building, or deploying LLM-as-a-Judge frameworks or other automated evaluation systems for complex models., • Experience collaborating with operations or external teams to define high-quality human annotator guidelines., • Expertise in ML research engineering, stochastic systems, observability, or LLM-powered applications for model evaluation and analysis., • Experience contributing to scalable pipelines that automate the evaluation and monitoring of large-scale models and agents. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2024 and certification as a Great Place to Work in 2024 for the fifth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview Note: (For NJ candidates) This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. Selective Insurance is looking for a Site Reliability Engineer (SRE) to lead the design, implementation, and optimization of scalable, resilient, and secure infrastructure systems. This role requires deep expertise in systems engineering, infrastructure automation, and reliability practices, with a strong focus performance optimization. As a technical leader, the SRE will collaborate closely with architecture and development teams to ensure solutions align with SRE principles and operational excellence. Also drive continuous improvements in system resilience, observability, security, and automation, leveraging advanced data analytics and enhance service delivery and reliability. The SRE will also serve as a trusted advisor across the organization, offering expert-level consulting in cloud infrastructure, CI/CD pipelines, monitoring, and incident response. A strong understanding of business-critical applications and alignment with organizational goals is essential, along with a commitment to compliance with legal, regulatory, and security standards Responsibilities • Define and measure service reliability through SLIs, SLOs for various application in Selective, • Leverages logs, traces, and metrics to extract actionable insights, proactively identify system anomalies, and drive continuous improvements in system health, performance, and reliability., • Perform capacity planning, conduct performance profiling, and execute system tuning to support scalability, enhance reliability, and optimize system performance across distributed environments., • Collaborate with Agile teams to ensure new features meet reliability and performance standards, • Participate in incident response, and postmortem analysis to drive continuous improvement, • Implement and maintain observability tools, • Ensure compliance with security, legal, and regulatory requirements, • 5+ years of experience in SRE, DevOps, or systems engineering roles., • Experience with CI/CD pipelines and infrastructure-as-code tools Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and paid time off plans. Additional details about our total rewards package will be provided during the recruiting process. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $119,000.00 - USD $163,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions.

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like ___ and ___. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. • Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers, • Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics, • Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines, • Work with massive datasets to develop both generic models as well as fine tune models for specific products, • Build scalable machine learning infrastructure to automate and optimize our ML services, • Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations, • Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment, • Comfortable with light travel (approximately 10%) for customer interaction and team needs, • This role will require an active security clearance or the ability to obtain a security clearance, • Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in a production environment, • Solid background in algorithms, data structures, and object-oriented programming, • Strong programing skills in Python, experience in Tensorflow or PyTorch, • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization, • Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments, • Experience with computer vision, generative AI models, large language models, or agentic systems About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

We are seeking a Senior Security Engineer with a specialty in Detection and Incident Response to join our Security Engineering team. This role sits at the intersection of security operations and software engineering - you won't just investigate incidents, you'll build the systems that detect, contain, and prevent them. You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible. Your ability to write production-quality code is just as important as your ability to triage an alert. You will structure investigations, analyze root causes, and clearly communicate the significance of security incidents, their impact, and recommended remediation steps - but you'll also turn those findings into durable engineering improvements: better detections, tighter schemas, and smarter automation. • Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance., • Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity., • Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity., • Perform digital incident investigations to identify and contain potential security breaches., • Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies., • Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows., • Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organization., • Utilize threat intelligence platforms to improve hunting, detection, and response workflows., • Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders., • 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation., • Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code - not just scripts., • Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments., • Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically., • Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs., • Familiarity with digital forensics tools and malware analysis techniques., • Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate., • Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows., • Strong communication skills, with the ability to translate complex security findings into clear business impact. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Job Description/Preferred Qualifications With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design through greater chemical process control is KLA's ECI Technology division. ECI is an industry leader of in-process chemistry control, providing the precision of analysis the industry requires for consistent wafer quality while reducing chip feature size. Advanced wafer design drives the need for precision with reliability; ECI strives to lead the design of analytical equipment which can withstand the rigorous demands of the chemical processes for damascene, wafer-level packaging, clean and wet etch processes, with our Prima, Libra, Quanta and QualiSurf product lines. A successful Mechanical Design Engineer will work in the Mechanical Department of KLA ECI division based in Totowa, NJ. You will be responsible for the design process of mechanical part of new systems, including conceptual and detailed design using CAD systems (Autodesk Inventor, AutoCAD), detailed drawings, design review presentations. • Independently execute sustaining engineering projects by creating and updating 3D CAD models, subassemblies, and system layouts for analyzers and dosers derived from existing platforms., • Develop flow diagrams and system schematics based on customer requirements and engineering specifications., • Design and integrate mechanical, fluidic, and optical assemblies (e.g., pumps, valves, tubing, fittings, spectrometers, light sources, optics, electrodes, and motors) to ensure proper mounting, alignment, routing, and service access., • Create and maintain bills of material (BOMs) to support manufacturing, service, and supply chain., • Prepare documentation packages for release (e.g., drawings, assembly instructions, installation layouts, labeling, and supporting engineering documents) in accordance with internal standards., • Adapt designs for different chemistries, including material compatibility, wetted-path requirements, sealing approaches, tubing/fitting selection, and corrosion/chemical resistance considerations., • Adapt designs for varying tank counts and configurations, including sizing/arrangement, mounting, plumbing routing, access/service clearances, and shipping constraints., • Define facility requirements (utilities, footprint, clearances, and interface constraints) for system layouts based on customer site requirements., • Create and process Engineering Change Orders (ECOs) / Change Orders (COs) to release new or revised parts, assemblies, and documentation; maintain traceability and accurate revision history., • Bachelor's degree in Mechanical Engineering or related discipline (or equivalent practical experience)., • 2-5 years of mechanical design experience in electro-mechanical products, instruments, or industrial equipment; sustaining engineering experience preferred., • Proficiency with 3D CAD and drawing creation (e.g., SolidWorks, Creo, Inventor, or similar), including assemblies, subassemblies, and configuration management., • Ability to create/read system schematics and flow diagrams (P&ID-style) and translate customer requirements into mechanical layouts., • Working knowledge of fluidic component selection and integration (pumps, valves, tubing, fittings) including routing, serviceability, and leak prevention., • Exposure to optical/electrochemical/mechatronic hardware integration (mounting, alignment, cable/tube management, access for calibration and maintenance)., • Experience creating and maintaining Bills of Material (BOMs) and supporting documentation packages (drawings, assembly instructions, installation layouts, labeling) to internal standards., • Understanding of material compatibility and chemical resistance considerations for wetted-path designs (seals, elastomers, plastics, metals) and corrosion/compatibility tradeoffs., • Knowledge of basic manufacturing methods and DFM/DFA principles; ability to assess tolerance stack-ups and perform fit checks., • Familiarity with engineering change control processes (ECO/CO), revision history, and traceability in a PLM/ERP environment., • Hands-on prototype/build support and troubleshooting skills, including root-cause analysis and implementation of corrective actions., • Strong communication and cross-functional collaboration skills (manufacturing, service, supply chain, and systems/electrical engineering); able to work independently and manage multiple priorities. Minimum Qualifications Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years Base Pay Range: $85,600.00 - $145,500.00 Annually Primary Location: USA-NJ-Totowa-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at ___ or at +1-408-352-2808 to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched ___ for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to ___ to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: • Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc., • Develop and maintain backend services using Python, focusing on AI-driven applications., • Design and implement APIs for seamless integration with AI models and services., • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment., • Participate in code reviews, testing, and quality assurance processes., • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services., • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes., • Document and communicate development processes, system designs, and architectural decisions., • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field., • Minimum 2 years of experience in industry with a strong focus on ML solutions development and production deployment., • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development., • Strong proficiency in Python in modern Python frameworks such as FastAPI and LangGraph., • Experience working with voice AI technologies and conversational AI., • Deepgram, PlayHT, ElevenLabs, • Telephony technologies, such as Twilio is a big plus, • Familiarity with cloud platforms such as AWS or Azure., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • Passion for customer, innovation, product quality, service excellence, and test engineering, • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment., • Experience working with microservices/an API-based application paradigm. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$128,000—$202,000 USDNew York, NY Salary Range$161,600—$202,000 USDDenver, CO Salary Range$148,400—$185,500 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Summary We are seeking an experienced Manufacturing Process Engineer with experience in powder-based manufacturing, with a strong chemistry background to lead and optimize manufacturing operations. This role is responsible for the design, improvement, and oversight of production processes, ensuring efficiency, quality, safety, and regulatory compliance. The ideal candidate combines hands-on plant experience with technical leadership, customer interaction, and cross-functional collaboration to drive continuous improvement across operations. Key Responsibilities • Design, develop, test, and improve mechanical systems, equipment, and process applications., • Analyze and optimize chemical and manufacturing processes to increase throughput, improve efficiency, and reduce waste., • Schedule and manage production operations involving blending, milling, drying, and screening equipment for maximum efficiency., • Lead employees across production and technical operations., • Oversee preventive maintenance and downtime activities to ensure operational reliability., • Conduct client laboratory testing, including data intake, feasibility studies, process development, optimization, and final reporting; ensure high client satisfaction., • Perform root cause analysis on process failures and implement corrective and preventive actions., • Manage operational budgets and present performance metrics and financial results to leadership., • Collaborate with operations, R&D, quality, and regulatory teams to implement new or improved processes., • Develop, maintain, and manage technical documentation, including SOPs, certifications, regulatory filings, and compliance records., • Bachelor’s degree in Chemical Engineering, Process Engineering, or a related field., • Minimum of 5+ years of process engineering experience, • Experience in powder-based manufacturing within pharmaceutical, nutraceutical, cosmetic, or chemical industries., • Hands-on experience with laboratory equipment, including particle size analyzers, microscopes, moisture balances, and scales., • Proven ability to work directly with customers and present technical findings., • Strong understanding of chemical engineering fundamentals, including fluid dynamics, thermodynamics, and heat transfer., • Knowledge of industrial electrical control panels and their integration with manufacturing equipment., • Strong regulatory background, with responsibility for maintaining FDA, DEP, EPA, cGMP, SQF, and related programs., • Proficiency with CAD and process simulation software is a plus., • Excellent analytical, problem-solving, and organizational skills.

Scale AI is seeking a highly skilled and motivated Software Engineer, ARC (Architecture, Reliability, & Compute) to join our dynamic Public Sector Engineering team. As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts. You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages. You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments. You will: • Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure., • Own services or systems and define their long-term health goals, while also improving the health of surrounding components., • Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus., • Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment., • Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment., • Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering., • Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$184,000—$259,440 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$165,600—$233,496 USDThe base salary range for this full-time position in the location of St. Louis is:$138,000—$194,580 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to transform pharmacy benefits and healthcare navigation as a Data Engineer II (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products. Position Responsibilities: • Build, test, and document Snowflake data models and business logic in dbt, • Apply and improve data quality, testing, observability, and lineage standards, • Collaborate with cross-functional partners to define data contracts and interfaces, • Contribute to Capital Rx's modular data platform and client-specific data configurations, • Participate in design reviews; propose scalable, maintainable patterns, • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes, • Optimize cost and performance of jobs, storage, and queries with guidance, • Write clear documentation and support knowledge sharing, • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance Preferred Qualifications: • 3+ years in data engineering, software engineering, or related field, • Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling, • Hands-on dbt experience (models, tests, documentation, deployments), • Experience with orchestration (Dagster or Airflow) and scheduling best practices, • Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred), • CI/CD for data (Git-based workflows, environments), and basic IaC familiarity, • Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools), • Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness), • Effective communication and collaboration with technical and non-technical stakeholders, • Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories), • Performance tuning in Snowflake (warehouse sizing, clustering, caching) Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$120,000—$140,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

At Henderson, we're about more than just buildings We're about the people, experiences, and longevity of a building. We're a company of problem-solvers and innovators known for our technical excellence and ability to provide come up with out-of-the-box solutions when it comes to design and construction. We love the process of bringing buildings to life - and keeping them in shape long after the doors open. As an ESOP, each of our employee-owners are an essential part of our mission to lead the industry in innovation, sustainability, and client experience. With a vision to build a better world, Team Henderson has a people-first culture and diverse portfolio of world-class facilities. It's What We Do We provide total building system design and construction services across multiple high-growth markets throughout the country for industry leaders. You'll get to use your talent to work on projects for some of the biggest names in mission-critical, higher education, sports, healthcare, grocery, restaurant, and retail within the sectors we serve in business, community, grocery, health, retail, and venue. It's How We're Different We're about more than just buildings. We're about you. You, and the hundreds of passionate employee-owners who make us who we are. We've always been committed to providing an inclusive workplace where people can bring their full self to work and helps people reach their full potential - both as professionals and individuals. Together, we provide dream up innovative solutions for our clients industry-wide problems, design and construct spaces that become landmarks, and toast the good life at our happy hours. Take a peek into what makes us different here: ___ Summary: Electrical Engineers and Electrical Designers are responsible for the design, coordination, documentation, and delivery of electrical building systems for our Mission Critical Data Center practice. Individuals will perform engineering calculations, prepare and review design documents, coordinate with project teams, manage tasks or projects, provide technical leadership, mentor others, and support business development activities. All team members are expected to uphold a client-centric mindset, demonstrate quality and integrity, and contribute to a collaborative, inclusive, and continuously learning environment. Henderson's Electrical Services: • Power Systems Design & Distribution, • Low & Medium Voltage Design, • Emergency & Standby Power Generation, • Lighting Systems & Controls Design, • Lightning Protection, • Grounding Design, • Fault Current & Overcurrent Coordination Studies, • Arc Flash Studies, • Emergency Egress Illumination, • Solar & Wind Power Design, • more.. Responsibilities: • Prepares design documents under the supervision of experienced engineering and design staff., • Supports the review of shop drawings for conformance to plans and specifications., • Assists with engineering calculations as directed., • May support business development or pursuit activities under direct supervision., • Occasionally participates in client, company and/or industry events., • Fosters a client-centric mindset and approach., • Partners with experienced engineering and design staff to understand client requirements and scope of work., • Acts as a liaison to inform engineering and design teams of client and architect questions and relays responses., • May visit job sites for observation and learning and development opportunities., • Identifies and seeks to fill gaps in industry and/or discipline knowledge on a continuous basis., • Acquires knowledge and fundamentals of common industry software, including Revit, Bluebeam Revu and Microsoft Office products. Key Qualifications: • 9+ years of experience in electrical engineering within the MEP and/or construction industry, with a strong emphasis on mission critical and data center projects., • Proven experience supporting the design and delivery of electrical systems for data centers including power distribution, redundancy strategies, and uptime/reliability considerations., • Advanced to expert proficiency in electrical engineering design, with deep knowledge of applicable codes, standards, and mission critical best practices (e.g., NEC, redundancy topologies, selective coordination, arc flash)., • Demonstrated ability to lead discipline coordination and manage complex, large-scale data center project scopes, including fast-track schedules and multi-phase builds., • Professional Engineer (PE) license highly preferred (required for Engineers of Record); FE/EIT certification strongly preferred., • Industry certifications such as RCDD, NICET, CPD, LEED, or WELL are highly desirable; mission critical/data center-specific credentials are a plus., • Hands-on experience with data center electrical infrastructure, including UPS systems, generators, paralleling switchgear, PDUs, grounding, and backup power systems., • Proficiency in engineering and design tools including Revit, Bluebeam Revu, SKM/ETAP (or similar), and Microsoft Office Suite., • Strong understanding of A&E practices specific to mission critical environments, including constructability, commissioning, and coordination with mechanical/cooling systems., • High technical aptitude with the ability to quickly learn and apply new technologies, systems, and evolving data center design standards., • Demonstrated critical thinking and problem-solving skills in high-stakes environments where reliability and uptime are essential., • Effective communication skills with the ability to collaborate across multidisciplinary teams, clearly convey technical concepts, and proactively identify risks., • Strong sense of accountability, reliability, and commitment to precision, quality, and ethical engineering practices., • Collaborative mindset with openness to feedback and continuous improvement in fast-paced, high-demand project environments. Let's Talk Perks We take care of our people. As a Henderson employee, you'll enjoy some pretty awesome perks. Trust us, your friends will all have work envy. Culture • Flexible Work Hours (Because we all need to balance work and life.), • Casual Dress Code (Be yourself, please.), • Paid Volunteer Time (We literally pay you to volunteer.), • Paid Parental Leave (Because we know both parents deserve to be there for a new child.), • Health and Wellness Initiatives (Get Fit and Stay Fit.), • Receptive and Forward-Thinking Leadership (Our doors are always open.), • Clear Career Path Options (We want you to excel.) Benefits • Industry-leading 401K match and profit sharing (When the company succeeds, we all share in that success.), • Employee Stock Ownership Plan (Yes, our employees are the owners.), • Paid Training for Professional Development (We'll pay for the time you take getting better at what you do.), • Performance Bonuses (When you do well, we reward you for your work.), • Comprehensive and Extensive Insurance (We've got you covered.), • Paid Term Life and Disability (We've got your family covered, too.), • Health Savings Account & Flexible Spending Accounts (We'll help you take advantage of tax savings.), • Paid Time Off and Sick Time off (Take a break. You deserve it!), • Financial Wellness & Coaching Program (Financial security makes you a happier team member.) More information can be found here - ___. Henderson Engineers, Inc. and Henderson Building Solutions are EEO Employers/Vet/Disabled and participate in the E-Verify program. Applicants for positions with Henderson Engineers/Henderson Building Solutions must be legally authorized to work in the United States, and verification of eligibility will be required at the time of commencement of employment. All offers will be contingent upon completion of the hiring process including verifications and background checks as required for employment. To all recruitment agencies: Henderson does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of Henderson without a prior written search agreement will be considered unsolicited and the property of Henderson. Please, no phone calls or emails. NOTICE TO CANDIDATES: RECRUITMENT FRAUD ALERT Henderson representatives conduct all email communications exclusively through a company email address that ends with @. We extend offers of employment only after a comprehensive interview process and will never ask you for a payment of any sort nor offer one for any reason. Henderson will not ask any applicant to purchase equipment, nor offer to reimburse any applicant for expenses incurred prior to employment. We will not request personal information until a legitimate offer of employment has been extended. If you suspect a recruitment attempt is fraudulent, you should cease communications. All legitimate job opportunities are posted on our company website's careers page.

Posting Type Remote/Hybrid Job Overview As an Advanced Security Engineer focused on Endpoint Security, you will design, build, and operate security controls that protect Relativity's employee endpoints and the enterprise systems they access. You will help establish hardened, standardized, and measurable endpoint security foundations that reduce risk while preserving productivity, partnering closely with IT and Security teams to deliver securebydefault device experiences. This role blends handson software engineering with systemlevel security ownership in a modern cloud environment. Job Description and Requirements Role Responsibilities * Design, implement, andoperateendpoint security controls across laptops and mobile devices * Build automation and tooling to enforce secure configuration baselines and reduce manual effort * Partner with IT on device management, deployment, and lifecycle security * Reduce enterprise risk by hardening devices, limiting standing privilege, and improving visibility * Participate in incident response and endpointrelated investigations in partnership with Cyber teams * Continuously improve endpoint security posture using metrics, telemetry, and risk insights Minimum qualifications: * Bachelor's in Computer Science, Information Security, or equivalent experience. * 2+ years of commercial experience in software developmentand scripting(C#, Python,Javaor other general-purpose modern programming language) with a solid understanding of computer science fundamentals, including algorithms and data structures * Experience securing andoperatingmanaged endpoints at scale * Familiarity with modern device management and endpoint protection concepts * Ability to translate security policy into automated, enforceable controls * Comfort working across teams to deliver secure outcomes without friction * Experience with cloud technologies(preferably Azure),DevSecOpspractices, and automation tools (e.g., GitHub Actions). * Growth mindset and eagerness to learn across engineering and securitydomains. * Ability to take feedback and strive for continual improvement. Preferred qualifications: * Experience securing cloud-native applications / SaaS solutions and networks. * Familiarity with vulnerability scanning and threat protection. * Relevant certifications: * Microsoft Certified: Azure Security Engineer Associate (AZ-500). * Microsoft Certified: Identity and Access Administrator Associate (SC-300). * Knowledge of Zero Trustprinciplesand compliance standards (e.g., GDPR, HIPAA). * Exposure to other cloud platforms(AWS, GCP). Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $104,000 and $156,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Endpoint Security, Network Security, Penetration Testing, Security Architecture Design, Security Automation, Security Information, Security Information and Event Management (SIEM), Security Operations, Threat Modeling, Vulnerability Management

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

About this role Glatt is seeking an experienced Controls/Automation Engineer to design, develop, and commission PLC and SCADA systems for industrial and regulated manufacturing environments. Responsibilities • Develop, test, and commission Allen-Bradley ControlLogix PLC applications using RSLogix (development from the ground up, not modifications only)., • Implement advanced control functionality, including analog data handling, data exchange, batch sequencing (ISA-S88), and recipe management., • Develop, test, and commission SCADA applications using iFIX or Wonderware, including scripting, security configuration, database interfacing, recipe configuration, and reporting., • Read, interpret, and develop control system documentation, including P&IDs, control schematics, wiring diagrams, and pneumatic/hydraulic drawings., • Create and maintain written technical documentation such as Functional Specifications, Sequences of Operation, and User Manuals., • Specify, procure, and troubleshoot control system hardware and instrumentation, including field-mounted and panel-mounted devices., • Collaborate with cross-functional teams and communicate effectively with internal stakeholders and customers. Qualifications • Recent, hands-on experience developing Allen-Bradley ControlLogix PLC systems using RSLogix., • Recent experience developing iFIX or Wonderware SCADA systems., • Strong understanding of industrial automation and control system design., • Excellent written and verbal communication skills., • Experience with pharmaceutical equipment and validation requirements is a strong plus., • Experience developing and configuring SQL databases, SQL data transfer, and database reporting tools is a plus.

Product Lead Engineer (AI Systems / 0->1) New York | In-Person (4–5 days/week) $150K–$300K + Equity The Opportunity We’re working with a venture-backed team building AI-native infrastructure for one of the most complex, high-friction systems in the U.S.: healthcare operations. This is not incremental optimization. They’re rebuilding core workflows — claims, billing, clinical documentation — as end-to-end automated systems powered by LLMs, structured data pipelines, and human-in-the-loop feedback loops. The problems are messy: • inconsistent inputs, • adversarial edge cases (payer rules, denials, compliance), • real-world financial impact The upside is equally large: • direct control over revenue flow, • ability to reshape cost structures in a $100B+ market, • systems that compound in performance over time The team includes engineers from top AI, quant, and systems backgrounds, and they’re scaling aggressively post-Series A. The Role They’re hiring a Product Lead Engineer to own a full problem space — not a feature, not a service — a domain. This is a hybrid role by design: • Product ownership (defining what to build and why), • Systems thinking (designing how it works end-to-end) clinician input -> structured data -> payer interaction -> cash collection …and turn it into a reliable, automated system with measurable performance. What You’ll Actually Do Own a Domain End-to-End • Define system boundaries, inputs/outputs, and failure modes, • Translate ambiguous workflows into structured, testable systems, • Decide when to use models vs rules vs hybrid approaches, • Build feedback loops (human-in-the-loop, retraining signals, error correction), • Instrument systems around:, • claim success rates, • denial reduction, • time-to-payment, • Debug edge cases and continuously improve system performance What They’re Looking For Core Profile • Strong technical background (CS, math, physics, or similar), • Experience building 0->1 systems with real-world constraints, • Comfortable reasoning about:, • distributed systems, • data pipelines, • model behavior + failure modes High-Rigor Signals • Background in quant, top-tier engineering teams, or highly technical startups, • Evidence of fast learning and high slope (rapid progression, outsized ownership), • Ability to break down ambiguous problems into structured solutions Mindset • You optimize for correctness and outcomes, not just shipping fast, • You’re comfortable operating without clear specs, • You care about building systems that improve over time Why This Role • Real technical depth — not CRUD apps, but complex, high-stakes systems, • Full ownership — you define and build, not just execute, • Tight feedback loops — your work directly impacts revenue + operations, • AI-native from first principles — not retrofitting legacy systems, • Clear trajectory -> Director-level ownership of a domain Who This Resonates With • Ex-quants or engineers who want to apply rigor to real-world systems, • Builders who’ve done 0->1 and want more ownership, • People who enjoy messy, adversarial problem spaces, • Engineers who think in systems, not endpoints

About NYC Health + Hospitals NYC Health + Hospitals is the largest public health care system in the United States. We provide essential outpatient, inpatient and home-based services to more than one million New Yorkers every year across the city’s five boroughs. Our large health system consists of ambulatory centers, acute care centers, post-acute care/long-term care, rehabilitation programs, Home Care, and Correctional Health Services. Our diverse workforce is uniquely focused on empowering New Yorkers. At NYC Health + Hospitals, our mission is to deliver high quality care health services, without exception. Every employee takes a person-centered approach that exemplifies the ICARE values (Integrity, Compassion, Accountability, Respect, and Excellence) through empathic communication and partnerships between all persons. Work Shifts 8:00 A.M – 4:00 P.M Duties & Responsibilities Purpose of Position: Under the general supervision of the Director, Engineering and Support Services, assists in directing programs to manage building maintenance, grounds, and equipment and procurement or generation of utilities and their distribution systems. Formulates and evaluates programs and projects and supervises functional programming activities. Ensures ongoing compliance with NYC Health + Hospitals and relevant health care setting policies, and other appropriate regulatory requirements. Essential Duties and Responsibilities: 1. Directs, coordinates, and maintains control over project assignments and related activities including in-house construction, renovation, and engineering activities. Follows standard methods and procedures for the implementation of maintenance systems and operations, construction contracts, and/or capital projects development. 2. Assists in the direction of trade staff through the development processes and procedures for the implementation of maintenance operations, construction contracts, and capital projects. Assists the Director in identifying staffing needs to support service delivery. 3. Prepares reports, develops and prepares engineering management audits, studies and surveys for the Director, and/or other senior management, detailing proposed new programs, statistical studies, and health care setting planning. 4. Assists in the collection of data and preparation of reports that outline the scope and estimated cost of projects proposed, implemented and developed. Organizes staff meetings, reviews capital and expense budget submissions and provides recommendations regarding proposed projects and programs. May represent the Director in budget meetings. 5. Plans and implements programs to establish performance standards to achieve increased productivity and accountability of trade staff. Reviews and evaluates existing programs, services, policies and procedures. 6. Provides departmental orientation, training and guidance to staff. Conducts in-service training programs, continually assessing staff training needs; suggests changes to Director to provide more efficient operations., 7. Coordinates efforts and cooperates with departmental leadership on matters of mutual concern and extends functional guidance and assistance. Meets with health care setting clients and staff to plan, prioritize, coordinate and/or communicate programs and policies, as needed. 8. May provide consultative services to senior leadership or liaise with Federal, State, and City agencies on matters pertaining to engineering, construction, design projects and/or other engineering support programs and functions., 9. In the Director’s absence, may represent the System in certain legal matters dealing with State, City, and Federal agencies., 10. Performs other related duties, as directed. Minimum Qualifications • Bachelor’s Degree from an accredited college or university in Engineering, Architecture, Construction Management, Construction Engineering or a related discipline; and two (2) years of responsible-level experience in project, facilities or construction management, capital project planning, development, and design or other related experience in a hospital or health care setting; or Department Preferences EDUCATION • Knowledge and understanding of healthcare building and mechanical, structural and electrical systems., • General knowledge and expertise in NFPA, TJC, CMS, EPA and OSHA Codes and regulations, • Ability to meet established goals and objectives, • Must have the ability to read, comprehend and transmit detailed instructions orally and in writing., • Should have knowledge of CMMS Systems. Benefits NYC Health and Hospitals offers a competitive benefits package that includes: • Comprehensive Health Benefits for employees hired to work 20+ hrs. per week, • Retirement Savings and Pension Plans, • Paid Holidays and Vacation in accordance with employees' Collectively bargained contracts, • Loan Forgiveness Programs for eligible employees, • College tuition discounts and professional development opportunities, • College Savings Program, • Union Benefits for eligible titles, • Multiple employee discounts programs, • Commuter Benefits Programs

Senior Wireless Engineer who can design, analyze, and optimize complex wireless networks by conducting predictive and pre/post physical site surveys, leveraging cutting-edge tools such as Ekahau and spectrum analyzers. Candidates need to have exceptional design and optimization capabilities, proven field survey expertise, strong project management skills, and a commitment to meticulous documentation. Responsibilities: • Design, analyze, and optimize complex wireless networks by conducting predictive and pre/post physical site surveys, leveraging cutting-edge tools such as Ekahau and spectrum analyzers., • Proactively troubleshoot performance issues, ensuring outstanding signal propagation and compliance, while executing strategic capacity planning and seamlessly integrating with existing infrastructure., • Engage in RF planning, conduct in-depth data analysis, and collaborate effectively across teams to align technical solutions with overarching business objectives., • Candidates with exceptional design and optimization capabilities, proven field survey expertise, strong project management skills, and a commitment to meticulous documentation., • Experience in support of wireless infrastructure., • Propose changes to existing policies and procedures to ensure operating efficiency and regulatory compliance., • Assist in production issues and incidents and participate in problem and change management forums., • Review enterprise diagrams and recommend wireless related enhancements., • Experience with Cisco Client, • The candidate should have knowledge of protocols like DNS, DHCP, • Communicates and consults with technology personnel and advisory groups to administer network wireless infrastructure., • Build trust and develop effective working relationships between Core technology team and constituencies ensuring the office's programs and standards are implemented in a manner consistent with the goals and objectives of the organization., • Operates and maintains wireless networks, tracks significant problems, monitors performance, and performs upgrades to hardware and software as required., • Trains technical staff at the system and building level to follow proper operating procedures necessary to maintain the integrity of the network., • Defines and Maintains documentation regarding wireless network configurations, operating procedures, and service records relating to wireless hardware and software., • Maintains certification in wireless network technology such as Cisco or other relevant technology, and/or experience which provides the required knowledge, skills, and abilities., • Performs other duties and responsibilities as assigned by supervisor., • Has strong understanding of cabling standards, IP address management, VPN, Firewalls, network security, wireless and network management platforms. Required Technical Skills • RF Principles: Possess a profound understanding of RF propagation, antenna theory, and cutting-edge wireless technologies (4G, 5G, 6G, Wi-Fi-7)., • Experience with WiFi-7., • Surveying Tools: Expertise in utilizing advanced spectrum analyzers, network analyzers, TEMS, and industry-leading survey software (Ekahau, Acrylic,) for comprehensive site surveys and in-depth data analysis., • Design Software: Proficient in leveraging RF modeling and simulation software (Visio, and AutoCAD ) to drive innovative solutions., • Network Design: Proven ability to strategically design networks for data, voice, and RTLS, while optimizing and troubleshooting RF systems to ensure exceptional coverage and capacity., • Access Points Catalyst CW9176I (Indoor), CW9176D1 (Directional), CW9179F (Large Venue)., • Wireless Controllers Catalyst CW9800M (Mid-Scale), CW9800H1/H2 (High-Scale), C9800-CL (Cloud)., • Cisco 3800 series Wireless Access Points and Cisco 5500, 5700, 8500 Wireless LAN Controllers, • Strong knowledge of LAN/WAN/Wireless infrastructures, topologies, and protocols, • Strong understanding of network protocols and applications, such as DNS, DHCP, SMTP, HTTP/HTTPS, Multicast, SNMP, NetFlow, • Strong in troubleshooting different OSI layer issues and performance analysis by using sniffer tools., • Possess a profound understanding of RF propagation, antenna theory, and cutting-edge wireless technologies (4G, 5G, 6G, Wi-Fi-7)., • Expertise in utilizing advanced spectrum analyzers, network analyzers, TEMS, and industry-leading survey software (Ekahau, Acrylic,) for comprehensive site surveys and in-depth data analysis., • Cisco Catalyst Center (On-Prem/Cloud), Cisco Spaces (Location Services)., • Cisco Client, Cisco Secure Access (SSE), Cisco Umbrella., • Proficient in leveraging RF modeling and simulation software (Visio, and AutoCAD) to drive innovative solutions., • Proven ability to strategically design networks for data, voice, and RTLS, while optimizing and troubleshooting RF systems to ensure exceptional coverage and capacity. Education/Experience: • Education: Bachelor's degree in electrical engineering, Computer Information Systems, or a closely related field, providing a solid foundation for technical expertise., • Experience: Over 5 years of hands-on experience in RF survey Engineering, with a substantial emphasis on field surveying in complex hospital and office environments, coupled with design proficiency and project leadership., • Certifications: Highly regarded certifications such as CCNP (Cisco Certified Network Professional) or CWNP (Certified Wireless Network Professional) strongly preferred. Preferred Interpersonal Skills • Strong customer service orientation

Job Locations US-NJ-Paramus ID 2026-1963 Category Information Technology Type Regular Full-Time The Senior Manager, Commercial IT Data Engineer is a hands-on technical role responsible for designing, building, and maintaining enterprise data integrations and commercial data pipelines supporting life sciences operations. A strong foundation in SQL and relational data modeling is essential, as the role will regularly analyze, validate, transform, and optimize large commercial healthcare datasets. This role supports Snowflake analytics environments, IQVIA data ingestion (including Xponent, DDD, Prescriber/HCP, HCO, OneKey reference data, and affiliation datasets), and master data platforms including Reltio (preferred) or equivalent MDM solutions. The position partners closely with Commercial Operations, Data Operations, and managed service vendors to ensure reliable, scalable, and audit-ready data flows. Success in this role requires deep expertise in Reltio and/or on-premise MDM platforms, a strong understanding of Master Data Management principles, data governance, and data quality practices. Advanced SQL skills, experience with ETL tools, and familiarity with metadata management and data integration best practices are essential. Strong analytical thinking, problem-solving, and troubleshooting capabilities are also critical. Design, develop, and maintain enterprise data integrations across CRM, MDM, Snowflake, and external data providers. • Write, optimize, and troubleshoot complex SQL queries to support data ingestion, transformation, reconciliation, and validation., • Build and support ingestion pipelines for IQVIA datasets including Xponent prescription data, DDD datasets, OneKey reference data, Prescriber (HCP), and HCO data., • Process and integrate IQVIA affiliation datasets to support healthcare provider-to-organization relationships and hierarchy mapping., • Use SQL to investigate data issues, reconcile commercial datasets, and validate transformation logic., • Develop scalable Snowflake data models optimized for large commercial healthcare datasets., • Implement source-to-target mappings for IQVIA files including deciles, specialty alignment, territory mapping, brick-level data, and affiliations., • Support customer master alignment between IQVIA datasets, CRM platforms (e.g., Veeva), and Reltio or Informatica MDM platforms., • Support master data governance processes including survivorship rules, crosswalk mappings, golden record creation, and hierarchy management., • Develop automated validation, reconciliation, and monitoring controls for prescription, prescriber, and affiliation data., • Review vendor-delivered integration logic and SQL transformations to ensure scalability, performance, and maintainability., • Troubleshoot integration failures, transformation issues, API exchanges, and Snowflake performance bottlenecks., • Maintain Dev/Test/Prod deployment discipline and version control best practices., • Document transformation logic, SQL validation procedures, data lineage, and IQVIA file processing standards to support audit readiness., • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field preferred. Certifications in Snowflake, SQL, data engineering, or MDM platforms are a plus., • 3-7 years of hands-on data engineering or data integration experience within life sciences, pharma, or biotech., • Strong SQL expertise with ability to write complex queries, troubleshoot data issues, and optimize query performance., • Direct experience working with IQVIA commercial datasets including Xponent, DDD, Prescriber (HCP), HCO, OneKey reference data, and affiliation files., • Understanding of healthcare commercial data structures including prescriber hierarchies, affiliations, specialties, deciles, territory alignment, and brick-level geography., • Experience supporting enterprise data integrations using ETL tools, APIs, or file-based exchange processes., • Experience with Snowflake or other cloud data warehouse platforms., • Experience supporting or integrating with Reltio MDM (preferred) or equivalent master data platforms., • Experience with migrating from Informatica MDM to Reltio MDM is a plus., • Understanding of data stewardship practices and master data governance principles., • Strong debugging, reconciliation, and root cause analysis capabilities.

Join the team leading the next evolution of virtual care. At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives. Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens. Summary of Position The Principal Platform Engineer (DevOps / Developer Experience) is a senior individual contributor who accelerates platform delivery by pairing strong software engineering with deep platform/operations expertise. This role sets the technical bar, works collaboratively across cross teams, and delivers reusable patterns that improve delivery speed, reliability and developer productivity. Essential Duties and Responsibilities Accelerate Top Priorities * Act as a technical "force multiplier" on the highest-priority initiatives; clarify approach, resolve ambiguity, and drive work to completion with high quality and pragmatic trade-offs. * Reduce cross-team friction by defining clear interfaces, breaking work into deliverable increments, and enabling parallelization through strong architecture boundaries. Raising Engineering Standards * Establish and model best practices for engineering excellence: design docs/RFCs, architecture reviews, code review discipline, and effective automated testing strategies. * Drive API-first and "platform as a product" behaviors: define and promote consistent platform interfaces that reduce bespoke integrations and siloed solutions. Build Paved Roads * Create reusable platform capabilities (templates/modules/golden paths) that reduce reinvention and speed up delivery for teams. * Drive automation opportunities (including agentic/AI-enabled workflows) that improve operational and delivery efficiency. Improve Operational Excellence * Lead cross-cutting improvements that enhance stability and reduce toil: observability standards, alert hygiene, incident learning loops, and resilience patterns. * Partner with operations and platform stakeholders to measurably improve reliability outcomes and reduce operational drag on platform delivery teams. Partner and Mentor * Coach senior/staff engineers by pairing on real work, running reviews, and teaching pragmatic system-level thinking. * Set clear examples of technical leadership, collaboration, and accountability without formal people management responsibility. On-call Participation * Participate in the on-call rotation and contribute to restoration, root cause learning, and prevention. Required Qualifications * Bachelor's degree in Computer Science, Engineering, or a related technical field. * 15+ years of hands-on software engineering designing, building, testing, deploying and operating large-scale distributed systems in cloud-native environments. * 5+ years operating at Staff or Principal scope, leading multi-quarter, cross-team technical initiatives that span 3+ teams and deliver organization-level outcomes. * 8+ years of experience designing and operating microservices-based systems, including API design and versioning, authentication and authorization frameworks (e.g. OAuth, OIDC, IAM), and Infrastructure-as-Code (e.g. Terraform, Cloudformation, ARM) * Deep hands-on experience (5+ years) in at least three of the following: Kubernetes and container orchestration platforms, public cloud infrastructure (AWS/Azure/GCP), CI/CD systems and deployment automation, Infrastructure-as-Code and configuration management, and production operations, reliability tooling and on-call systems. * Demonstrated ownership of production systems supporting business-critical workloads, including participation in incident response, post-incident reviews, and reliability improvements at scale. Preferred Qualifications * Proven ability to operate as a self-directed technical leader, navigating ambiguity, defining problem spaces, and driving clarity and alignment across multiple teams. * Demonstrated success influencing technical direction across globally distributed teams and multiple levels of the organization without formal authority. * Strong written and verbal communication skills, with the ability to translate complex technical concepts for engineering, product and executive audiences. * Experience designing or evolving internal platforms or self-service capabilities that materially improve developer experience, delivery throughput, or operational efficiency. * Strong background in observability (metrics, logs, traces), incident management, and reliability practices, with a track record of improving system health and reducing operational toil. * Deep understanding of performance optimization, system resilience, and observability in high-scale production environments. * Experience working in regulated industries such as healthcare or fintech, including familiarity with compliance-driven architectural and security considerations. * Familiarity with healthcare data standards (e.g. FHIR, HL7) and platform security best practices. The base salary range for this position is$180,000 - $210,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: ___.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions. We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details. As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified. Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Why join Teladoc Health? * Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our ___. * Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference. * Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day. * Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways. * Enjoy an inclusive ___ centered around you and your family, with tailored programs that address your unique needs. * Explore ___ with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on ___. As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind. Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available ___.

Role: Senior Software Engineer Duration: 6+ months (Temp to Perm Hire) Location: Newark, NJ - Hybrid (3 days onsite per week) About the Opportunity: Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization, you'll unlock an exciting and impactful career - all while growing your skills and advancing your profession at one of the world's leading financial services institutions. Your Team & Role: As a Senior Software Engineer on the Group Insurance team, you will partner with product owners, tech leads, designers, engineers and delivery professionals to improve and enhance our Onboarding Platform. You will code, test and debug new and existing applications as you implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. What You Can Expect on a Typical Day: • Build applications ensuring that the code follows latest coding practices and industry standards, using modern design patterns and architectural principles; actively code against the roadmap, • Develop high quality, well documented and efficient code adhering to all applicable client's standards., • Collaborate with product owners in understanding needs and defining feature stories, tech leads in defining technical design and other team members to understand the system end-to-end and deliver robust solutions that bring about business impact., • Write unit, integration tests and functional automation; research problems discovered by quality assurance or product support, developing solutions to address the problems., • Bring an applied understanding of relevant and emerging technologies, identify opportunities to provide input to the team and coach others, and embed learning and innovation in the day-to-day., • Work on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors., • Bachelor of Computer Science or Engineering or experience in related fields., • Leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization, • Experience with agile development methodologies and Test-Driven Development (TDD), • Knowledge of business concepts, tools and processes needed for making sound decisions in the context of the company's business, • Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges, • Programming Languages: Python, Java or JavaScript; distributed systems, object oriented programming, design patterns and design methodology; Java services using Spring CLI, Maven, Microservices, multi-threading, concurrency and parallel processing, • Frameworks: React, Spring Boot, Node.js (Full / MEAN / MERN stack), • Data Store: NoSQL or Relational Data structures; MongoDB; BPM tools, • Data Streaming: SQS, Kinesis, • APIs: Consumption & Development; implementing service oriented architecture (SOA) patterns; REST, JSON, SOAP, XML, JDBC, MySQL, • Testing: Unit, interface and end user testing concepts and tooling (functional & non-functional); automated testing, • Accessibility: Accessibility awareness and compliance, • Security: Secure coding, web application security and DevSecOps; authentication, authorization, encryption, digital signatures, JWT, SSL, web service proxies, firewalls, SAML 2.0, OpenID Connect, OAuth2.0, • DevOps Tools & Practices: Branching techniques and usage of GitHub, Bitbucket or Subversion; DevOps, Jenkins, • SDLC: Monitoring and logging techniques, • AWS Development, • Architecture Patterns, • Design Thinking, • Financial / Insurance industry knowledge is a plus, not a must

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Plano, TX: $179,400 - $204,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Build, profile and optimize our training and inference framework., • Post-train state of the art models, developed both internally and from the community, to define stable post-training recipes for our enterprise engagements., • Collaborate with ML teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.., • At least 1-3 years of LLM training in a production environment, • Passionate about system optimization, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster, • Experience with multi-node LLM training and inference, • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills to operate in a cross functional team environment. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Connectivity team owns the core platform that enables Scale to continuously generate, evaluate, and deliver high-quality training data to our customers. Our systems sit at the center of Scale's data and AI infrastructure, powering large-scale workflows while supporting frontier AI capabilities such as multi-modality, long-horizon reasoning, and agentic behavior. We're looking for a senior engineer with deep experience building robust platforms, someone who brings strong architectural judgment, a bias toward correctness and reliability, and the ability to design systems that scale and evolve cleanly over time. This is a backend-heavy role with full-stack expectations and significant ownership from design through long-term operation. • Design and own foundational platform systems that support scalable data generation, evaluation, and bespoke customer delivery across Scale's ecosystem., • Architect extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration., • Build and operate distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency., • Integrate with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns., • Design and maintain data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads., • Partner closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers., • Lead multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments., • Apply strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence., • Raise the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience., • 7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms., • Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases., • Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments., • Preferred: Experience integrating with public LLM APIs and designing systems that handle scale, reliability, latency, and cost tradeoffs. Preferred: Experience building or operating data processing and transformation systems supporting complex workflows and evolving schemas. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Scale AI, we help leading enterprises turn AI from a promising capability into reliable systems that improve real workflows and deliver measurable business value. We are hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment. This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production. In many cases, the data scientist builds the first usable version of the solution, proves value quickly, and helps drive it into a durable product or platform capability. The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions. • Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria, • Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans, • Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems, • Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration, • Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations, • Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement, • Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline, • Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production, • Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities, • 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role, • Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact, • Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans, • Strong foundation in statistics, experimentation, causal reasoning, and measurement, • Experience building tools or products, not just analyses - for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications, • Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work, • Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly, • Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives, • High ownership and bias toward shipping in fast-moving environments with incomplete information, • Experience in a forward deployed, solutions, consulting, or other client-facing technical role, • Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products, • Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow, • Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery, • Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems, • Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling 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:$167,200—$209,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.