Trabajos data engineer en New York, New York - Page 3Crear alertas

Coordinates and observes work for general conformance of contract documents. Coordinates and observes the work of construction contractors assigned to perform construction contract administration and oversight work at NYPA or Customer facilities. Ensures that quality workmanship is maintained at all times and in accordance with applicable construction procedures, methods, codes and specifications. Projects will include electrical, civil, mechanical, instrumentation & control engineering disciplines. Provide direct oversight of contractors and onsite management of construction projects (for projects at NYPA sites only). A Construction Engineer may have background from one of the engineering disciplines. The Construction Engineer will oversee the construction of a GIS power substation, ensuring all activities align with design specifications, safety regulations, and project timelines. The role requires experience in GIS substation construction. The engineer will work closely with project managers, contractors, and other stakeholders to ensure the successful completion of the project. 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___.

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 About the team Join our team as a Platform Engineer focused on network architecture and site reliability. In this role, you will own the design and implementation of our cloud network architecture, ensuring our platform is resilient, secure, and scales effectively across multiple AWS accounts, environments, and regions. You'll architect solutions for complex networking challenges like hierarchical CIDR allocation across accounts and integrations, implement disaster recovery and regional redundancy strategies, and establish the reliability practices that keep our healthcare platform running. Working closely with leadership and cross-functional teams, you'll build the foundational infrastructure that supports our rapidly growing platform while ensuring we can handle failures gracefully and recover quickly. Position Responsibilities: In this role, you'll own critical infrastructure that ensures platform reliability and scalability. You will: • Design network architecture: Architect and implement hierarchical CIDR allocation strategies across multiple AWS accounts, environments, and external integrations, ensuring proper subnet organization and IP address management., • Build multi-region capabilities: Design and implement regional redundancy and multi-region failover strategies to support disaster recovery requirements and improve platform availability., • Manage cloud networking: Own VPC design, subnets, routing tables, security groups, NACLs, VPC peering, Transit Gateway, and other AWS networking components across our infrastructure., • Implement disaster recovery: Establish and regularly test disaster recovery procedures, backup strategies, and failover mechanisms to ensure business continuity., • Evaluate multi-cloud solutions: Assess and prototype solutions across AWS, Azure, GCP, and Oracle Cloud to determine optimal approaches for specific use cases and integrations., • Monitor platform health: Define and implement platform health indicators, SLIs, SLOs, and monitoring that provide early warning of infrastructure issues and track reliability improvements., • Ensure security and compliance: Work with security teams to implement network security best practices, maintain compliance requirements (HIPAA, SOC2, FedRAMP), and conduct security reviews., • Drive infrastructure reliability: Participate in on-call rotations, lead incident response for infrastructure issues, conduct postmortems, and implement improvements to prevent recurrence., • Automate infrastructure management: Build infrastructure-as-code using Terraform to manage network resources, implement self-service capabilities, and ensure consistency across environments. Requirements: • 5+ years of infrastructure engineering, DevOps, or site reliability engineering experience., • Experience leading projects or teams: Demonstrated ability to lead technical initiatives, drive architectural decisions, or mentor other engineers., • Extensive AWS expertise: Deep production experience with VPC, subnets, routing, security groups, Transit Gateway, Direct Connect, Route 53, and other AWS networking services., • Network architecture experience: Proven track record designing and implementing complex network architectures including CIDR planning, subnet design, and multi-account strategies., • Disaster recovery expertise: Experience designing and testing disaster recovery procedures, backup strategies, and multi-region failover capabilities., • Infrastructure as code: Strong experience with Terraform for managing cloud infrastructure at scale., • Site reliability practices: Understanding of SLIs, SLOs, error budgets, incident management, and reliability engineering principles., • Strong development skills: Proficiency in Python or similar languages for automation and tooling., • Security mindset: Understanding of network security principles, encryption, IAM, and compliance requirements in regulated industries. Preferred Qualifications: • Multi-cloud experience: Hands-on experience with Azure, GCP, or Oracle Cloud networking and cross-cloud connectivity., • Rust development experience or interest in learning Rust for infrastructure tooling., • Advanced AWS certifications: AWS Solutions Architect Professional, AWS Advanced Networking, or similar certifications., • Container networking: Experience with ECS, EKS, or Kubernetes networking, service mesh, and load balancing., • Database networking: Understanding of database replication, Aurora Global Databases, and cross-region data synchronization., • CDN and edge networking: Experience with CloudFront, edge locations, and content delivery optimization., • Cost optimization: Track record of reducing infrastructure costs while maintaining or improving reliability., • Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. 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$130,000—$160,000 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___.

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

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

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You'll Do: • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers, • Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs., • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 4+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes, • Experience with major cloud providers (AWS, Azure, GCP) 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.

Senior AI Engineer (REACT/Front End) Location: Hybrid, USA (Birmingham, MI, Chicago, IL, New York, NY, Fort Lauderdale, FL) Employment Type: Full-Time Compensation: $120,000 - $149,750,000 (Range applies to US candidates only) + Benefits/Variable Comp/Equity - Range may vary based on experience. Benefits Offered: Vision, Medical, Life, Dental, 401K Summary As a Senior AI Engineer you will be a critical member in executing our AI development initiatives within the OneStream platform. The AI Product and Engineering team is focused on bridging the gap between AI research and AI products, bringing tangible and quantifiable value to our end users. Your primary function will involve overseeing the entire lifecycle of AI and software subsystems-from defining requirements and designing systems to project planning and implementation. This critical role is instrumental in enhancing our AI capabilities, directly impacting our products' performance and scalability across various markets. In this position, you will also play a key leadership role, collaborating with cross-functional teams including Solution Engineering, AI Delivery, and Cloud Engineering. Your expertise will not only drive innovation but also mentor and guide other engineers, ensuring high-quality deliverables and promoting a culture of excellence. Primary Duties and Responsibilities • Lead the design and development of scalable, high-performance applications and services using a variety of front-end and back-end technologies., • Design software subsystems and lead the project management and timely execution., • Use Python and SQL to build AI systems and functionality., • Troubleshoot and debug issues across the full stack, from the user interface to the database layer., • Lead technical design sessions to decompose and design complex systems and interfaces, ensuring they meet both technical and user requirements., • Lead code reviews, provide technical guidance, and mentor junior engineers., • Plan out product releases at a strategic and tactical implementation level for the rest of the team. Required Education and Experience • Bachelors Degree or similar work experience., • CS/DS/EE/CE Degree or similar experience., • 3-5 Years experience building and deploying production-level machine learning solutions or similar experience., • 3-5 Years of Python (or similar experience)., • Proficiency in Database schema design., • Proficiency of distributed systems and cloud-based computing. Preferred Education and Experience • Experience with web services and API frameworks (Flask, FastAPI, etc.)., • Knowledge of distributed systems and cloud-based computing. Knowledge, Skills, and Abilities • Quick learner who can understand and self-teach new technologies., • Ability to multi-task and prioritize ongoing activities based on importance., • Writes code using timeless software design patterns (dependency injection, volatility decomposition, etc.)., • Adaptable to changes in technology and the business environment., • Strong ability to analyze problems, trace them to their core causes, and effectively address them in a systematic manner., • Excellent verbal and written communication skills, capable of mentoring junior engineers and leading project teams., • Proficient organization skills to lead and deliver complex projects on schedule., • Capable and comfortable effectively presenting in front of your peers., • Comfortable engaging and presenting to C-level executives from time to time. Travel • Minimal travel is required. Who We Are OneStream is how today's Finance teams can go beyond just reporting on the past and Take Finance Further by steering the business to the future. It's the only enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution. Our vision is to be the operating system for modern finance, digitizing core financial functions and empowering the CFO to become a critical driver of business strategy. To learn more visit ___. Why Join The OneStream Team • Transparency around corporate structure, salary, and benefits., • Core value of customer success., • Variety of project work (not industry-specific)., • Strong culture andcamaraderie., • Multiple training opportunities. Benefits at OneStream OneStream employees are passionate, hardworking individuals who go above and beyond to keep our customers happy and follow through on our mission statement. They consistently deliver the best and in turn, we make every effort to keep them cared for and happy. A sample of the benefits we provide are: • Excellent Medical Plan., • Dental & Vision Insurance., • Life Insurance., • Short & Long Term Disability., • Vacation Time., • Paid Holidays., • Professional Development., • Retirement Plan. All candidates must be legally authorized to work for any company in the country where this position is located without sponsorship. OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview Selective is seeking a Principal Network Infrastructure Engineer, to partner with Architects and Engineers in the IT network infrastructure, supporting our business platforms and continuously improving to meet the evolving needs of our business community. The Engineer will provide technical leadership to the team to help drive the strategic initiatives, and "Cloud First" direction of Selective Insurance. The network engineer is also required to document designs and creations and share their findings with others. Responsibilities • Provide leadership in IT for the development of highly appropriate, tightly integrated, consistently available, secure, flexible, and fault-tolerant solutions, • Ability to Design and implement standardized methodologies to deploy and maintain routing and switching, LAN/WAN, wireless network, load balancers, cloud infrastructure networking components, network monitoring tools, WAN acceleration, SD WAN and other relevant technologies, • Ability to lead network implementation by taking ownership of a project and being accountable for its success, including providing executive summary status reports, • Ability to design enterprise network routing architectures using protocols such as Open Shortest Path First (OSPF), Border Gateway Protocol (BGP), and Enhanced Interior Gateway Routing Protocol (EIGRP)., • Knowledge of SDN concepts and familiarity with Python, REST, model-driven programmability, containers and other modern aspects of network engineering, • Strong background in data center networking technologies like Cisco IOS, NXOS, Cisco VPC, Spine-Leaf designs, OTV and VXLAN layer2 extensions, etc., • Work with architecture team to prepare recommendations and supporting details for formal project proposals for network connectivity and configurations, • Perform as SME escalation in support of IT operational organization during complex highly impactful outages that can cross multiple functional domains, involving chronic recurring problems, vendor product bugs and other critical network functionality, • Ensure all engineered solutions have sufficient design documentation available including HLD and LLD documents., • Ensure all engineered solutions and features take operational needs into account and provide the Operations team with sufficient documentation, training and standard operating procedures that support daily operation, maintenance, upgrades and support escalations for the solution., • Identify areas for enhanced efficiency through automation, suggested process improvements and streamlined workflow., • College degree in Computer Science or a related field preferred., • 10 + years of relevant experience in a fast-paced, enterprise-level environment including leadership roles, • Ability to create accurate network diagrams and documentation for design and planning network layout and communication systems., • Experienced in Azure Cloud networking, • Advanced level knowledge of many of the following technologies: Cisco Catalyst and Nexus switches; Cisco routers; Cisco Meraki wireless LAN; Cisco ISE; F5 LTM, APM and iRules; Palo Alto firewalls, including Prisma Access; Cloud based technologies (Azure, AWS and GCP) is required, with a strong understanding of and experience with Azure; Palo Alto SD WAN; SolarWinds., • Network certifications required from leading network vendors: Cisco (CCNA, CCNP, CCIE); F5; Microsoft Azure., • Ability to work with vendors and research product offerings to determine appropriate solutions. Ability to review, evaluate and make recommendations on vendor SOW's, BOM's and proposals., • Demonstrated ability to successfully communicate to all levels of IT, including producing status reports interface with stakeholders and report to IT leadership., • Drive alignment of network engineering initiatives with business objectives and measurable KPIs., • Mentor and coach less senior engineers to build team capability and foster professional growth., • Champion Agile, DevOps, and modern delivery practices within network engineering projects., • Engage proactively with business stakeholders and cross-functional teams to ensure solutions meet enterprise needs., • Lead innovation efforts by identifying technical debt, proposing modernization strategies, and implementing automation., • Collaborate with leadership to define success metrics and report progress against KPIs., • Promote diversity, equity, and inclusion within the team and contribute to an inclusive culture., • Advocate continuous learning and career development opportunities for team members. Total Rewards Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $150,000.00 - USD $192,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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.

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. Successful Product Development Engineer will work in the System Engineering group based in Totowa, NJ.You will be working in the Engineering Technology team to conceptualize, develop and test the next generation of devices which will be used to advance our chemical analysis technology. This is a wide-ranging requirement which covers aspects from microfluidic dispensing to spectrophotometric measurements. This role will involve requirements analysis, theoretical evaluation on the capabilities of available technologies, identification of the gaps and definition of the actions required to close those gaps, conceptual design, and requirements of new devices if existing technologies are not a fit and testing of the designs with reports generated to support the conclusions. Communication skills are important, there are requirements for communication with suppliers and the internal KLA groups. Job Definition: * Work with Applications, R&D and engineering to define requirements and develop specifications for the chemical analysis process. * Develop improvement plans and test plans required to meet our requirements, drive the vendors to execute those plans. * Evaluate and test to validate materials used for devices or new designs, to determine compatibility to the chemistry used in the application. * Conceptualize and bring to fruition new device designs when none exist. Define the requirements, gaps that the device fills, error budget and constraints. * Work with mechanical, electrical and software engineering groups to define and review designs and test plans. Create and execute test plans and perform analysis to validate device or system performance. Troubleshoot system and subsystem issues and work with various subsystem teams to find and implement solutions. * Support internal and external customers in implementing processes to build and use the tool effectively and optimize tool performance. Lead advanced troubleshooting efforts in manufacturing and in the field * Occasional domestic and international travel will be required (<20%) Preferred Qualifications: * Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years. * Experience with electrical design ecosystems such as OrCAD PCB, Altium, PADS, or Eagle; exposure to SI/PI or simulation tools is a plus. * Familiarity with AC power distribution, industrial equipment cabling, interlocks, and serviceability-driven design. * Exposure to PLC/control systems, motion control, sensors, and system-level debug of integrated mechatronic equipment. * Comfortable building and executing test plans, analyzing data, and reporting conclusions (MATLAB/Python/LabVIEW experience is a plus in our environment). * Strong collaboration and communication skills for cross-disciplinary execution and vendor engagement. * Experience supporting products through manufacturing/field life cycle and writing crisp, usable documentation 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.

Scale AI's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We are looking for a Mission Software Engineering Manager to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale's government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: • Recruit a high-performing engineering team., • Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects., • Collaborating with cross-functional teams to define, design, and execute strategic roadmap., • Work directly with customers to understand their problems and translate those into features in Scale's platform., • Be open to ~25% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back., • Deploy and maintain Scale software at customer sites, • Develop customer requested features and work closely with them to ensure that they win customer love., • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • 5+ years of full-time engineering experience, post-graduation, • 2+ years of prior engineering management or equivalent experience and has managed an engineering team., • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Linux experience: Understanding of shell scripting, operating systems, etc, • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc), • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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.

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 Your job scope will include: * Build and qualify next-generation chemical metrology tools. * Read and interpret schematics and electrical drawings. * Test and troubleshoot using diagnostic equipment, including test programs, signal generators, oscilloscopes, and specialized test apparatus. * Partner with the engineering team to bring new products into manufacturing. * Act as a two-way conduit of information between design teams, tech support, and field teams. * Demonstrate strong oral and written communication skills. * Redline and help update documentation, including assembly and test procedures. * Assist with training new team members and transferring knowledge to production. * Travel to domestic and international beta sites to support new tool installations/upgrades and provide escalation support for new products. Required Qualifications: * Practical Engineer or B.S degree in Electrical Engineering or Electronics Engineering. * Experience troubleshooting down to the component level is required. * Ability to travel up to 35% to support customers worldwide. Minimum Qualifications: * Minimum 4 years of experience in various engineering areas such as Electrical, Manufacturing, Equipment, Systems, or related fields. * Broad technical system vision. * Proficient in English, including reading and writing technical reports, procedures, and drawings. Soft Skills: * Strong interpersonal and communication skills; able to work collaboratively. * Willingness to work overtime, including day or night shifts and weekends. Minimum Qualifications Requires a minimum of 4 - 6 years of related experience Base Pay Range: $25.97 - $44.14 Per Hour 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.

Scale AI is seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructureto join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues. You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing. 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., • You will work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream., • 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.

Role Overview: CLOUD SECURITY ENGINEER (HYBRID) ALL US OFFICES - CHI, SF, LA, BOS, NYC, D.C.) The Cloud Security Engineer is responsible for deploying, managing, and securing cloud solutions across AWS, Azure, and Google Cloud platforms. This role involves close collaboration with IT, Cloud Engineering & Operations, Network Operations and Data Science Center teams, acting as a technical lead and primary contact for cloud security projects, migrations, and integrations. The Cloud Security Engineer is expected to have hands-on experience managing cloud services in a hybrid environment, with a strong focus on implementing and maintaining robust security controls. In addition to technical responsibilities, the Cloud Security Engineer will engage with both internal colleagues at all levels within the firm and external stakeholders, ensuring seamless communication and coordination on cloud security matters. The Cloud Security Engineer will stay informed on emerging cloud security technologies and will translate information security policies into operational processes, continuously enhancing the security posture of the organization. At Cornerstone Research, you will be part of a thriving, 1,000-strong team that spans nine offices, comprises more than 55 nationalities, and leads the industry in its commitment to develop team members across all levels. Inc. Magazine has recognized Cornerstone Research three times as a Best Workplace for its outstanding employee engagement, collaborative culture, and professional growth opportunities. You'll Love It Here If You: * Embrace learning and continuous improvement * Set and strive for a high bar of excellence * Believe that teamwork leads to success: ask us what it means to be #onefirmfirm! * Take pride in always doing your best work, even if it's harder or takes longer * Are passionate about what you do How You'll Help Our Team Succeed: • Designs and engineers secure cloud solutions leveraging Google Cloud, AWS and Azure IaaS, PaaS, and SaaS, with a focus on security best practices., • Researches, designs, and implements new cloud security technologies to enhance Cornerstone's cloud security posture., • Supports applications hosted in cloud environments, ensuring they meet stringent security standards., • Deploys and develops cloud cost management, budgeting, and expensing capabilities, with an emphasis on security aspects to control unauthorized access and expenditures., • Manages and reports on cloud costs, identifying and reporting unusual expenditures with a focus on security implications., • Conducts periodic audits of accounts, permissions, and access rights for cloud services in compliance with security policies., • Builds and maintains strong relationships across IT teams, fostering collaboration on cloud security issues., • Performs periodic gap analyses against current and future security requirements to improve cloud security measures; recommends relevant improvements., • Administers and supports secure connectivity to cloud services, ensuring encrypted and protected data transfers, using AWS Direct Connect and Azure Express Route., • Monitors daily maintenance event logs for cloud-based environments and addresses any noted issues., • Maintains security patches in alignment with industry best practices., • Creates and maintains cloud-related security policies and procedures in partnership with the Director, Information Security., • Creates and maintains cloud security operational documentation and training materials for use by IT staff. What You'll Need to Be Successful: • 8+ years of experience in cyber security roles required, with professional services experience preferred., • Extensive experience supporting and administering AWS, Azure, Google Cloud and O365 cloud environments., • Experience with cloud security implementations, migrations, and integrations within secure frameworks., • Familiarity with programmatic means of cloud security administration, such as cloud APIs and CloudFormation Templates on AWS, with a focus on secure configuration., • UNIX/Linux experience with a strong exposure to server administration., • Bachelor's degree in a relevant field or equivalent combination of education, skills and experience., • Cloud Professional Certification required (e.g., AWS Certified Security - Specialty and/or Microsoft Certified: Azure Security Engineer Associate or similar)., • Additional security related IT certifications (e.g., CISSP, CISM, CompTIA Security+) are a plus. Cornerstone Research is offering a competitive market base salary for this position. The base salary range represents the low and high end of the salary range for this position in all eligible locations. This range may differ based on your geographic location and cost of living considerations. At Cornerstone Research, we believe compensation is more than just a base salary. We offer a competitive total compensation package that includes an annual performance bonus and comprehensive benefits such as flexible options for healthcare, paid time off, and retirement savings. Relocation assistance is not offered for this position. Boston: $138,900 - $166,300 Chicago: $132,600 - $158,600 Los Angeles: $139,300 - 166,800 New York: $141,800 - $169,700 San Francisco: $152,200 - $182,000 Washington, D.C.: $136,100 - $162,900 We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. Who We Are: Cornerstone Research provides economic and financial analysis and expert testimony in all phases of commercial litigation and regulatory proceedings. We work with a broad network of testifying experts, including leaders from academia and industry, who are recognized for their depth of knowledge, accomplishments, and research. Our staff consultants contribute expertise in economics, finance, accounting, and marketing, as well as business acumen, familiarity with the litigation process, and a commitment to produce outstanding results. We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. The firm's uniquely collegial, supportive atmosphere makes Cornerstone Research a great place to work. We invest in our people in a host of ways, from providing meaningful learning and development opportunities to organizing memorable social events. To many, our culture and our people are the most exciting, enriching aspects of a Cornerstone Research career. Equal Employment Opportunity: Cornerstone Research provides Equal Employment Opportunities to all employees and applicants for employment without regard to legally protected categories, such as age, sex, gender, gender identity, race, color, creed/religious belief, medical condition, predisposing genetic characteristics or genetic information or testing, disability, marital status, pregnancy status, military status, veteran status, arrest or conviction record (except where permitted by law), sexual orientation, ethnic background, citizen status, ancestry, national origin, or any other consideration protected by federal, state or local law.

Posting Type Remote/Hybrid Job Overview Relativity is aprivate equity-backed, legal data intelligence Software as a Service leadertrusted by legal teams, governments, and enterprises around the world. Our platform powers investigations, litigation, and compliance for some of the most complex data challenges. By combining advanced AI, powerful analytics, and cloud-based technology, we help teams make sense of massive volumes of information and move critical work forward faster and more accurately. With a culture that values curiosity, collaboration, and continuous learning, this is your chance to join a company that combines thestability of an established leaderwith theenergy of a startup. Job Description and Requirements What We Do At Relativity, engineersdon'tjust write code-they shape how industries uncover critical insights, ensure compliance, advance access to justice and continuously evolve our platform using the latest technologies, including cloud-native architectures, AI capabilities, and modern developer tooling. Our AI powers privacy programs,identifiesconfidential information, and detects languageindicatingmisconduct.We'rereimagining how legal professionals uncover truth at scale, and engineering is at the heart of that transformation. We are looking for a Principal Engineer to help define and build our next generation of cloud-native platform systems.This person willhelp shape our strategy for how we support internal and external customers'integration needs in a cloud-native, multi-tenant environment. Ifyou'repassionate about solving hard problems, designing for scale, and building tools that matter-while working in a culture that values transparency, innovation, and shared success- Relativity offers the opportunity to make a measurable difference in the marketplace. WhatYou'llDo * Deliver critical business value by solving complex problems that span teams and organizations. * Design and build architecture that is flexible, performant, and efficient to the needs of the business. * Prioritize capabilities over features, plan for change and abstract complexity away from dependent teams. * Partner with fellow leaders toidentifyproblems and align on their nature; solve these problems withelegant,scalablesolutions. * Be respected as a technical leader of your domain,demonstratingdeepexpertise,collaboration,andstrong business acumenwhileembodyingengineering excellence. * Set enterprise standards for system flexibility, maintainability, security, testability,andreliability;work with teams to implement them. * Influence and align engineering execution with company-level strategywhile shapingexecutive-level product and platform decisions. * Collaborate daily with a diverse group of teammates and product partners to solve problems & deliver value. Mentor engineers,leaders,and executives. * Be an awesome teammate whodemonstratescuriosity and continuous learningwhileshapingeengineering culture atscale. WhatWe'reLooking For Required * 12+ years of experienceowning,buildingandshaping large-scale, cloud-native platforms. * Experience defining organization-wide technical standards. * Deep involvement in security, compliance, and reliability strategy. * Ability to align technical vision with company-level strategy. * Proven influence at senior and executive levels. * Exceptional mentorship, communication, and strategic thinking skills. Nice to Have * Background in legal tech, AI-enabled platforms, or regulated domains. * External thought leadership or industry contribution. * Familiarity with AI development tools like GitHub Copilot, Cursor or Claude Code. * Experience working in global or highly distributed organizations. WhyWe'reAGreatFit forYou * Impactful Mission:Organize Data, Discover theTruthand Act on It -Our customers include Fortune 500 enterprises and leading law firms managing high-stakes matters on our platform. * Growth Path:Engineers gain exposure across the stack, from distributed systems to AI-enabled workflows, accelerating career growth. * Engineering Culture:Continuous delivery, strong observability, and end-to-end ownership. * Inclusive Environment: Diverse backgrounds and perspectives make us stronger. * Community Impact:Volunteer opportunities and company-sponsored charitable programs. * Compensation & Benefits:Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, two annualcompany breaks,home office stipend, and an equity program. When you join Relativity,you'renot just taking a job-you'recontributing to a mission that matters.You'llwork alongside talented professionals across the globe, and tackle complex challenges at scale. 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: $210,000 and $314,000 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: Agile Methodology, Algorithms, Automation, Distributed Systems, Mentorship, Problem Solving, Software Architectures, Strategic Planning, System Designs, Technical Leadership

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. * Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning. * 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. Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. * Minimum 6+ 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 and familiarity with ML libraries such as PyTorch. * Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies * Familiarity with cloud platforms such as AWS or Azure. * Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience developing and fine-tuning prompts on any of the GenAI services * 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. * Good written communication skills that enable collaboration in a remote environment. 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. 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$142,800—$225,000 USDNew York, NY Salary Range$180,400—$225,000 USDDenver, CO Salary Range$165,600—$207,000 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___.

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 Location: Remote or Hybrid (NYC, Denver) Position Summary: We are seeking a highly motivated and talented Data Engineering Intern to join our team and play a critical role in shaping the future of healthcare data management. This individual will be involved in supporting building robust, scalable, and accurate data systems that empower operational and analytics teams to make informed decisions and drive positive outcomes. Position Responsibilities: • Partner closely with operational and analytics teams to translate business needs into effective data solutions, • Architect and implement ETL workflows leveragingCapitalRxplatforms and technologies such as Python,dbt,SQLAlchemy, Terraform, Airflow, Snowflake, and Redshift, • Conduct testing to ensure the flawless execution of data pipelines before production deployment, • Proactivelyidentifyand resolve data-related issues, ensuring system reliability and data integrity, • Provide ongoing maintenance and support for data infrastructure, • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Pursuing a Masters degree in Computer Science, Information Technology, or a related field, • Knowledge of Python (or Java), SQL, JSON, and XML, • Knowledge of data warehousing architecture techniques and familiarity with Kimballmethodology, • A strong interest in data engineering, displaying the ability to design, implement, andmaintaincomplex data pipelines, • Capacity to analyze the company's broader data landscape and architect scalable data solutions that support growth, • Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders, • Experience as a Data Engineer, ideally in the healthcare or PBM sector, • Knowledge of Airflow,dbt, Snowflake, and SQL development and Python experience 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. About Capital Rx Capital Rx is a health technology company providing claim administration and technology solutions for carriers, health plans, TPAs, employer groups, and government entities. As a public benefit corporation, Capital Rx is executing its mission to materially reduce healthcare costs as a full-service PBM and through the deployment of Judi, the company's cloud-native enterprise health platform. Judi connects every aspect of the healthcare ecosysteminone efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of 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$35—$40 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___.

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.

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

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview "Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time". 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 seeking an energetic and collaborative Data Engineer Specialist to work on Data and Analytics projects supporting the Claims Analytics team within the Information Management group. This group is responsible for all Data Engineering, Machine Learning Engineering, Analytics and Reporting for the Claims business area. The candidate must be hands-on with expert technical skills and a proven track record of project delivery. Responsibilities • Hands on development and support of new or existing data applications., • Works closely with the lead to create/review low level implementation designs, understand high level data flow designs developed by Data Architects., • Provide technical guidance to the team and work on implementing complex data solutions., • Provide support in the design, development, code reviews, test deploy and documentation of Data Engineering and Data Integration Applications., • Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments., • Provide technical leadership and mentor junior data engineers., • Work closely with Product Owners, Product Managers, Program Manager, Scrum Master, and Team Members in a Scaled Agile framework., • Closely monitor the health of data pipelines and develop contingency plans for failures., • Maintain detailed documentation to support downstream integrations., • 5-7 of experience in Data Warehousing, Data integration or Data Engineering projects, • Ability to effectively work well with people in other departments and/or outside of the enterprise., • Expert-level proficiency inPython, SQL, and Spark; strong experience withcloud platforms(Azure, AWS, or GCP)., • Expert level experience in Databricks and Delta Lake., • Proven track record of buildingenterprise-scale data platformssupporting advanced analytics and machine learning., • Experience withstreaming architectures(Kafka, Kinesis) andevent-driven data processing., • Strong knowledge ofdata security, encryption, and access controlin regulated environments., • Advanced working knowledge of SQL and optimizing queries and databases for performance., • Ability to debug and resolve complex issues internally and work with external vendors and service providers., • Good understanding and hands on experience in developing and managing CI/CD pipelines, • Good understanding of Data Structures and Data Models., • P&C Insurance experience is highly desired., • Bachelor's degree in computer science or related engineering field preferred., • Certifications in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate) Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $123,000.00 - USD $157,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Provide electrical engineering expertise and direction for equipment and control systems, utilized in the Utility generation and transmission of electric power (high-medium-low voltage power, metering, control, security and fire alarm) ; and/or Customer utilization electrical systems (medium-low voltage power, control and fire alarm). Develop solutions for electrical power and control systems in generation, transmission, substation, planning, metering or Customer utilization sites as assigned. Ensures that standards of quality, economics, safety, reliability, maintainability, timeliness and performance are met throughout all engineering activities. • Provide lead engineer function for a wide range of large or complex projects ., • Develop specifications and design packages and provide technical oversight for all, in accordance with applicable industry standards., • Perform factory or field visits to support design reviews, inspections, evaluations, and testing, as well coordinate with vendors during the manufacturing process., • Perform field visits to complete field inspections, condition assessments, and equipment evaluations and develop technical recommendations for complex scenarios with limited oversight., • Perform occasional emergency response, including outside of normal business hours., • Independently coordinate cross disciplinary activities for the successful development and execution of projects and/or O&M activities., • Provide expertise in the selection, interpretation and application of codes, standards and procedures. Set internal standards and procedures., • Perform inspections and evaluations of existing conditions for various electrical equipment and systems for proper installation, problem identification and troubleshooting. Recommend improvements to the design and construction., • Manage the technical and commercial aspects of work performed by external entities., • Represent the Authority at industry conferences, committees, or task forces., • Review designs, calculations, specifications, and reports produced by other internal engineers and external consultants., • Provide direction to the design and drafting personnel in the development of the project drawings and review work product Site Electrical • Work independently as an Electrical Maintenance and Asset Management subject matter expert (SME)., • Oversee the operational and revenue meter data collection systems meeting all regulatory requirements, • Interface within NYPA and external agencies to support settlement and reporting activities., • Perform emergency response on a 24x7 on-call basis to support ECC., • Extensive knowledge of applicable codes, standards, regulations., • Ability to apply diverse technical principles and practices, with the understanding of the NYPA's policies, operations and objectives, to complex engineering deliverables., • Proven success in the management of technical and commercial aspects of complex projects., • Competent in the use of Microsoft Office applications., • Proficient in Electrical design or forecasting software such as SKM Power Tools preferred., • Ability to adapt communication style and content to effectively convey the desired message to the target audience., • Ability to effectively manage and prioritize multiple complex projects., • Collaborative and team-oriented with ability to build relationships with vendors and stakeholders., • Expertise in the design, operation, and maintenance of power system components related to commercial and industrial facilities and their various systems and components, • Bachelor of Science Degree in Electrical Engineering, or equivalent, from an accredited college or university., • Master's of Engineering Degree preferred., • Minimum of ten (10) years of related work experience., • New York State P.E License required, or P.E License from another state, with New York State endorsement within 12 months of start date., • Experience in a lead engineer role in the electric utility industry or electrical construction, preferred., • Approximately 25% travel, primarily within NY State, • Willingness to enter confined spaces and climb/scale power system apparatuses is required., • Site ECC: Must be able to provide 24/7 on-call support to ECC. The New York Power Authority is committed to providing fair, competitive, and market-informed compensation. The estimated salary range for this position is $138,000 - $208,000. 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___.

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Supermicro is seeking a highly skilled Service Engineer to support our Global Service network and contribute to building a world-class field engineering organization. This role requires flexibility to work in a data center and call center environment, providing technical support via phone and web to customers experiencing hardware and software issues. This position will be based in our office located in Jersey City, NJ. Includes the following essential duties and responsibilities (other duties may also be assigned): Why This Role Matters This position plays a critical role in ensuring customer satisfaction by providing timely and effective technical support. As a key part of our Global Service network, you will troubleshoot issues, deploy hardware solutions, and contribute to a seamless customer experience. Your expertise will directly impact the efficiency and reliability of Supermicro's service operations. What You'll Do • Provide frontline technical support to end-users via phone, email, and ticketing system., • Diagnose and troubleshoot hardware, software, and network-related issues., • Escalate complex problems to higher-level support teams when necessary., • Perform physical installation, rack and stack, cabling, and networking of data center hardware., • Assist in the deployment of server, storage, and networking equipment., • Monitor and maintain data center infrastructure to ensure optimal performance and uptime., • Perform regular maintenance and upgrades on data center hardware and software., • Collaborate with data center staff to address and resolve technical issues., • Conduct quality checks and test system functionality post-installation., • Work with internal teams to gather client requirements and provide technical expertise during the post-sales process., • Coordinate with the engineering team to ensure seamless integration of hardware solutions., • Ensure compliance with data center policies and procedures., • Document and report data center activities and incidents., • Travel up to 50% of the time to customer sites and data centers., • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering; or an Associate's degree in Electrical/Electronics Engineering with equivalent relevant experience., • 1+ year of experience in servicing complex X86 systems and parts., • 1+ years of experience in a customer support role., • Strong hardware system diagnostics skills and understanding of BIOS, drivers, and application-related issues., • Ability to troubleshoot, problem-solve, and make decisions in a fast-paced environment., • Experience with statistical Excel functions or database management., • Ability to manage multiple cross-functional projects concurrently in a rapidly changing environment., • Hands-on experience with enterprise-grade server hardware., • Strong verbal and written communication skills with an emphasis on technical communication., • Punctual, detail-oriented, and proactive in driving solutions., • Experience working in large enterprise environments or certifications in Windows and Linux., • Must have a valid driver's license and a reliable automobile., • Ability to lift/carry at least 50 lbs, • Capable of standing for extended periods to troubleshoot and repair equipment in a noisy environment (approximately 20% of the time) Please note that this position requires regular in-office attendance. The successful candidate is expected to be present in the office during standard working hours as determined by the company. In-office collaboration and participation in team meetings, training sessions, and other on-site activities are essential aspects of this role. Candidates should consider the commuting distance and be prepared to fulfill their responsibilities in the designated office location. $70,304 - $90,000 The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs. Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

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 Location: Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: The Technical QA Analyst II is a critical contributor to delivering high-quality products within the Capital Rx JUDI platform, aligning with business goals and exceeding user expectations. Working closely with Product Managers, engineers, and stakeholders, this role ensures the seamless execution of the product roadmap by proactively identifying and resolving technical issues, validating functionality, and enhancing user experiences. This role combines a detail-oriented approach to quality assurance with a collaborative mindset to drive operational efficiency, support clinical programs, and deliver innovative solutions that benefit all Capital Rx members and clients. A strong technical aptitude and ability to deeply analyze system behavior are essential. Position Responsibilities: • Technical Issue Identification & Root Cause Analysis: Identify, investigate, and triage technical issues within the JUDI tech stack (specifically focusing on [Specify Key Technologies - e.g., Python/Django, PostgreSQL, AWS services]). Conduct thorough root cause analysis, utilizing logs, database queries, and system monitoring data to pinpoint the source of problems., • Log Analysis & Monitoring: Monitor and analyze system logs (e.g., using CloudWatch, Datadog, or New Relic) to validate application functionality, identify performance bottlenecks, and proactively detect anomalies. Develop and maintain dashboards to visualize key system metrics., • Database Querying & Analysis: Utilize SQL to query and analyze data within the JUDI database (PostgreSQL preferred). Develop and execute complex queries to investigate data discrepancies, identify trends, and support troubleshooting efforts. Familiarity with SQLAlchemy is a plus., • AWS Service Support: Collaborate with the engineering team on the support and monitoring of AWS services utilized within the JUDI platform (e.g., EC2, S3, Lambda, RDS). Assist with troubleshooting issues related to these services., • Collaboration & Requirements Translation: Collaborate with Product Managers and engineers to understand business requirements and translate them into actionable test requirements and test plans. Participate in sprint planning and daily stand-ups., • QA Execution: Conduct thorough QA tasks, including ticket review, refinement, testing (manual and potentially exploratory), and bug identification., • Scrum Team Support: Partner with the scrum team to manage backlogs, refine tickets, and support roadmap development., • UAT Support: Assist with UAT testing, stakeholder communication, and documentation to align team efforts with business goals., • Compliance & Reporting: Ensure adherence to company policies, including timely reporting of noncompliance., • Bachelor's degree strongly preferred in Computer Science, Information Technology, or a related field., • 3+ years of experience in a QA Analyst, Software Engineer, Business Analyst, or related role., • Proficiency in Python, • Strong SQL experience; familiarity with SQLAlchemy is preferred., • Experience with logging and monitoring tools such as CloudWatch, Datadog, or New Relic., • Familiarity with Agile methodologies and workflows., • Experience with GitHub or similar source control repositories., • Excellent communication and collaboration skills, with the ability to translate between technical and non-technical audiences both verbally and in writing., • Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation., • Knowledge of API testing methodologies., • Experience with CI/CD pipelines., • Understanding of data warehousing concepts., • Experience in the PBM space. 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$75,200—$109,000 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___.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: • Own large new areas within our product, • Work across backend, frontend, and interacting with LLMs and ML models, • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 4+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Business Area: Professional Services Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. As an AI Solutions Engineer within Cloudera's Public Sector Consulting team, you will be the technical architect and execution lead for agencies moving from "data chaos" to "agentic autonomy." You will work directly with government organizations to design, build, and deploy mission-critical AI applications on the Cloudera Data Platform (CDP). This is not a "theoretical" role. You will be on the front lines of Phase 2 and Phase 3 adoption journeys-helping customers clean legacy data silos, select the right model architectures, and industrialize MLOps pipelines in highly secure, often air-gapped or hybrid-cloud environments. As the AI Solutions Engineer you will: 1. AI Model Strategy, Selection and Implementation * Evaluate and select optimal model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost. * Guide customers on "Build vs. Buy vs. Fine-tune" decisions, prioritizing open-source models (Llama, Mistral, Falcon) that can run securely within a sovereign data perimeter. * Experience building Agentic Workflows (AI agents that can execute API calls and multi-step tasks). 2. End-to-End Data Engineering * Design and implement robust data pipelines within CDP to transform "messy" legacy data into AI-ready formats. * Develop and optimize Vector Databases and Retrieval-Augmented Generation (RAG) architectures to ground AI responses in verified agency facts. * Build Data pipelines with Spark, Nifi, Kafka or other ETL tools. 3. Optimization & Performance Tuning * Optimize model inference for production environments using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration). * Implement LLMOps to monitor model performance, detect hallucination rates, and manage model versioning and drift. 4. Public Sector Advisory & Governance * Collaborate with the customer's AI Center of Excellence (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance. * Translate complex technical AI concepts into mission-value briefings for GS-level stakeholders and agency leadership. We're excited about you if you have: (Minimum Qualifications): * Experience: 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years focused on Generative AI or Deep Learning. * Technical Stack: Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face). * Hands-on experience with Cloudera (CDP), Spark, or similar big data ecosystems. * Proficiency in orchestration tools like LangChain, LlamaIndex, or Haystack. * Experience developing visual data representations and dashboards (Django, React, or Angular) * Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc) * Data Expertise: Proven ability to build ETL/ELT pipelines and work with both SQL and NoSQL/Vector databases (e.g., Pinecone, Milvus, or PGVector). * Public Sector Knowledge: Understanding of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs). * Active Top Secret Security Clearance You may also have: (Preferred Qualifications) * Experience fine-tuning of foundational models using techniques such as PEFT (Parameter-Efficient Fine-Tuning) and LoRA to adapt AI to domain-specific government nomenclature. * Experience training of specialized models on proprietary datasets while ensuring strict adherence to data privacy and sensitivity labels. * Experience installing and operating Cloudera Data Platform * Experience installing and operating Kubernetes * Experience in Air-Gapped deployments and managing AI workloads in disconnected environments. * Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field. * Active Counterintelligence (CI) or Full Scope (FS) Poly is highly preferred. This role is not eligible for immigration sponsorship. What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

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 Location: Remote Position Summary: Join our Scalability team as a Senior Scalability Engineer focused on streaming andrealtimesystems. In this role, you will own the architecture and expansion of our streaming data infrastructure, including WAL-based database replication, change data capture (CDC) systems, andrealtimeevent processing. Your work will handle systems processing hundreds of thousands to millions of records per batch whilemaintainingstrict ordering guarantees andexactly-oncesemantics. Working closely with our clients and cross-functional teams,you'llbuild foundational streaming infrastructure while partnering directly with product teams to implementrealtimecapabilities that power critical business workflows. Position Responsibilities: In this role,you'llprovide technical leadership while delivering hands-on solutions for high-impact performance challenges. You will: • Own streaminginfrastructure: Design, implement, and expand WAL-based replication systems that process database changes through Kinesis to Snowflake and Redshift, handling millions of records whilemaintainingstrict ordering and delivery guarantees., • Build CDC systems: Architect and implement change data capture infrastructure for cross-platform data synchronization, enabling realtime analytics and event-driven workflows across the organization., • Develop shared libraries: Create reusable Kinesis/SNS consumer patterns and libraries used across multiple teams, establishing best practices for event processing, error handling, and observability., • Partner with product teams: Work directly with teams to design and implement realtime data processing solutions tailored to their business needs, providing technical guidance and hands-on support., • Ensure data reliability: Implement exactly-once processing semantics, dead letter queues, retry strategies, and monitoring to guarantee data integrity across streaming pipelines., • Build observability: Develop monitoring, alerting, and dashboards for streaming pipelines to track throughput, lag, data quality issues, and system health using the LGTM stack., • Demonstrate technical leadership: Mentor engineers on streaming architecture patterns, lead design reviews for event-driven systems, and represent the Scalability team in cross-functional planning., • Make strong architectural choices through careful evaluation and prior experience with distributed systems., • 10+ years of software engineering experience withdemonstratedprogression into technical leadership roles., • 3+ years of experience leading technical initiatives, architecting distributed systems, or serving as a subject matter expert on streaming infrastructure., • Strong expertise in Python (Flask/SQLAlchemy) for production applications., • Deep PostgreSQL knowledge: Understanding of write-ahead logs, replication, logical decoding, and change data capture mechanisms., • Production streaming experience: Proven track record building and operating high-throughput streaming systems using Kinesis, Kafka, or similar event streaming platforms., • Distributed systems expertise: Strong understanding of ordering guarantees, exactly-once semantics, partition strategies, backpressure handling, and fault tolerance patterns., • AWS experience: Production experience with Kinesis, S3, SNS/SQS, Lambda, ECS, and data pipeline orchestration., • Data warehouse knowledge: Experience loading data into Redshift, Snowflake, or similar analytical databases., • Systems thinking: Ability to design resilient, observable streaming architectures that balance throughput, latency, and reliability., • Rust development experience or strong interest in learning Rust for high-performance systems., • Infrastructure as code: Experience with Terraform or similar IaC tools for managing cloud infrastructure., • Observability tools: Hands-on experience with Grafana, Prometheus, Loki, or similar monitoring/alerting platforms., • Event-driven architectures: Background designing event sourcing, CQRS, or other event-driven patterns. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. 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$110,400—$213,000 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___.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: • Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements., • Collaborate with cross-functional teams to define, design, and deliver new features., • Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades., • Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies., • 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems., • Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.)., • Show a track record of mentoring and leading teams in successful projects., • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings., • Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems., • Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI)., • Experience with performance tuning and cost optimizations of cloud based data platforms., • Experience defining a data lifecycle strategy and designing/implementing tooling for data privacy (i.e. GDPR) needs., • Experience scaling products at hyper-growth startups. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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

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.

Scale is accelerating the development of AI across the world's most important organizations. The Forward Deployed PM is the person who makes enterprise deployments succeed from the product side - embedded with customers, shaping real production outcomes, and translating messy operational reality into high-signal input for the core platform. This is not a roadmap PM, a CSM, or a solutions engineer. The FDPM owns product outcomes inside a portfolio of enterprise accounts: earning deep trust with senior customer stakeholders, driving deployments to production, identifying where the product is the bottleneck vs. execution, and feeding durable, specific signal back to the platform team. The best FDPMs have shipped products into large organizations and can tell the difference between a customer's stated request, their actual problem, and what the platform should do. • Own product outcomes for our highest impact enterprise accounts. You are the accountable PM for product delivery and customer value., • Build trusted advisory relationships with VP/C-level buyers and senior technical leads. Become the reliable escalation point on the Scale side before issues surface externally., • Drive deployments from contract to production. You have done this before for large organizations. You know what 'production-ready' actually means and you close the gap., • Translate real customer workflows, friction, and priorities into high-signal product input for core platform teams. Not requirements docs - specific, evidence-backed product perspective with tradeoffs articulated., • Distinguish where the product is the constraint from where execution, integration, or change management is. Drive each type of blocker to resolution through the right channel., • Partner closely with FDEs so the account runs as a coordinated team, not a set of parallel workstreams., • Identify and develop expansion opportunities grounded in demonstrated customer value, • Represent customer reality to platform and leadership with enough credibility that it changes decisions., • Enterprise deployment ownership: has driven AI/ML or complex software products from contract to production at scale, with real integration, real security constraints, real change management., • Product judgment in the field: translates customer reality into product direction, not just feature requests; can say no credibly and explain why., • Customer trust-building: earns and maintains trust with demanding senior stakeholders over multi-quarter engagements; manages conflict without eroding the relationship., • Technical translation: bridges the gap between customer engineering teams and Scale platform engineers; does not relay messages, adds interpretation., • Operating in ambiguity: creates structure where there is none; makes decisions with incomplete information; does not wait for fully defined requirements., • Clear, precise communication: adjusts for audience (exec vs. engineer vs. PM); writes and speaks at the right level of detail; does not over-explain or under-explain., • 6+ years in product management, technical program management, or a customer-facing product ownership role., • Demonstrated record of shipping products or platform capabilities into large organizations - not pilots or proofs-of-concept. You can name the customer, the scale, the integration, and what production actually looked like., • Extreme ownership and follow-through: closes loops without reminders, drives outcomes across teams without formal authority, holds self and others to commitments., • Comfortable operating with senior customer stakeholders (VP/C-level) and senior engineers simultaneously; credible presence in high-stakes rooms on both sides., • Strong judgment under pressure: makes good calls quickly with incomplete information, knows when to escalate vs. resolve, does not generate thrash., • Technical fluency sufficient to hold a real conversation with a platform engineer about architectural tradeoffs - not deep coding, but genuine comprehension of how systems work in production., • Direct experience with AI/ML platform products - data labeling, RLHF, fine-tuning workflows, or model evaluation pipelines., • Experience in a startup or early-stage environment where process didn't exist and had to be created. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Lead AI Engineer Location: Hybrid, USA Employment Type: Full-Time Compensation: $138,000.00 - $172,000.00 (Range applies to US candidates only) + Benefits/Variable Comp - Range may vary based on experience. Benefits Offered: Vision, Medical, Life, Dental, 401K This role requires the candidate to work from one of the following OneStream office locations: Birmingham, MI, Fort Lauderdale, FL, New York, NY, or Chicago, IL. Summary As a Lead AI Engineer you will be a critical member in executing our AI development initiatives within the OneStream platform. The AI Product and Engineering team is focused on bridging the gap between AI research and AI products, bringing tangible and quantifiable value to our end users. Your functions will involve overseeing the entire lifecycle of AI and software subsystems-from defining requirements and designing systems to project planning and implementation. This critical role is instrumental in enhancing our AI capabilities, directly impacting our products' performance and scalability across various markets. You will also oversee driving product direction within the team. As a Lead AI Engineer you will lead engineers through the product development lifecycle, effectively being able to convert business requirements into a successful product launch. In this position, you will also play a key leadership role, collaborating with cross-functional teams. Your expertise will not only drive innovation but also mentor and guide other engineers, ensuring high-quality deliverables and promoting a culture of excellence. Primary Duties and Responsibilities • Lead design sessions to decompose a business problem into a design complex systems and interfaces, ensuring they meet both technical and user requirements., • Lead the design and development of scalable, high-performance applications and services using a variety of front-end and back-end technologies., • Interact, collaborate, and present to a diverse set of stakeholders (developers, sponsors, executives) to deliver AI products, • Must be a self-starter, continuously learning both best code practices and the latest applications and failures of AI in products, and domains of the products you integrate our AI capabilities into., • Troubleshoot and debug issues across the full stack, from the user interface to the database layer to ensure the reliability of the AI integrations delivered., • Develop both client-side and server-side parts of an application., • Use Python and SQL to build AI systems and functionality., • Troubleshoot and debug issues across the full stack, from the user interface to the database layer., • Lead code reviews, provide technical guidance, and mentor junior engineers., • Plan out product releases at a strategic and tactical implementation level for the rest of the team. Required Education and Experience • Bachelor's degree or similar work experience, • CS/DS/EE/CE Degree or similar experience, • 3-5 Years experience building and deploying production-level machine learning solutions or similar experience, • 3-5 Years of Python (or similar experience), • 3-5 Years of frontend development experience, • Proficiency in database schema design, • Proficiency of distributed systems and cloud-based computing Preferred Education and Experience • Proven delivery of product solutions from idea to deployment, • Experience with webservices and API frameworks (Flask, FastAPI, etc.) Knowledge, Skills, and Abilities • Quick learner who can understand and self-teach new technologies, • Ability to multi-task and prioritize ongoing activities based on importance, • Writes code using timeless software design patterns (dependency injection, volatility decomposition, etc.), • Adaptable to changes in technology and the business environment., • Strong ability to analyze problems, trace them to their core causes, and effectively address them in a systematic manner., • Excellent verbal and written communication skills, capable of mentoring junior engineers and leading project teams., • Proficient organization skills to lead and deliver complex projects on schedule, • Capable and comfortable effectively presenting in front of your peers, • Comfortable engaging and presenting to C-level executives from time to time Travel • Minimal travel will be required. Who We Are OneStream is how today's Finance teams can go beyond just reporting on the past and Take Finance Further by steering the business to the future. It's the only enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution. Our vision is to be the operating system for modern finance, digitizing core financial functions and empowering the CFO to become a critical driver of business strategy. To learn more visit ___. Why Join The OneStream Team • Transparency around corporate structure, salary, and benefits, • Core value of customer success, • Variety of project work (not industry-specific), • Strong culture andcamaraderie, • Excellent Medical Plan, • Dental & Vision Insurance, • Life Insurance, • Short & Long Term Disability, • Vacation Time, • Paid Holidays, • Professional Development, • Retirement Plan All candidates must be legally authorized to work for any company in the country where this position is located without sponsorship. OneStream is an Equal Opportunity Employer. #LI-Remote #LI-JP1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

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

As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments. The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You'll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company. • Build and maintain fault-tolerant, high-performance systems for serving LLMs workloads at scale., • Build an internal platform to empower LLM capability discovery., • Collaborate with researchers and engineers to integrate and optimize models for production and research use cases., • Conduct architecture and design reviews to uphold best practices in system design and scalability., • Develop monitoring and observability solutions to ensure system health and performance., • Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment., • 5+ years of experience building large-scale, high-performance backend systems., • Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++)., • Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.), • Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc., • Experience with containers and orchestration tools (e.g., Docker, Kubernetes)., • Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform)., • Proven ability to solve complex problems and work independently in fast-moving environments. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We're looking for a hands-on Field Engineering Manager on the front lines leading a team of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. Field Engineers are software engineering generalists who enjoy working with clients directly, taking ambiguous requirements and issues, and quickly designing and building production-grade solutions in close collaboration with the Product, Engineering, and Delivery teams. Field Engineers are experts on Scale's products and codebase, and have general technical knowledge on GenAI systems, APIs, networking, and data engineering. Field Engineers are strong relationship builders, great project managers, and always fun to work with. You'll play a critical role in delivering technical solutions-all while helping your team grow and execute. You'll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You'll work cross-functionally with product, engineering, security, and delivery teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Day to day: • 50% Field engineering - customer engagement, technical development and delivery, • Recruit a high-performing engineering team., • Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of customer facing engineers working on Generative AI projects., • Collaborating with cross-functional teams to define, design, and execute strategic roadmap based on customer needs., • Work directly with customers to understand their problems and translate those into custom workflows within Scale's platform., • Be open to ~25% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Lead end-to-end technical delivery of custom workflows from scoping to development to testing to implementation, • 5+ years of full-time engineering experience, post-graduation., • 2+ years of prior engineering management or equivalent experience and previously managed an engineering team., • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus., • Linux experience: Understanding of shell scripting, operating systems, etc., • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus., • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles., • 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., • Understand unique DoD and USG constraints when it comes to technology. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,700—$341,550 USD 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:$238,050—$297,850 USDPlease 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 Washington DC, Texas, Colorado, Hawaii is:$213,900—$267,950 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___.

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

Job Locations US-NY-New York Tracking Code 2026-12427 Next150 Construction is seeking a motivated Construction Engineer to assist the project team in obtaining, evaluating, coordinating and distributing information and authorizations necessary to construct the project on time, within budget and to the quality specified. This role will sit primarily on the job site, with occasional travel to the office for trainings, meetings, etc. Next 150 Construction offers employees multi-dimensional training opportunities through a number of resources for those that are early in their career. While managing your responsibilities to the project, you will be able to enroll in trainings through our award-winning Gilbane University to build leadership and technical skills. In addition, Construction Engineer's work under the direction of experienced Project Managers and Project Executives on each job site which provides you with opportunity to learn new industry skills every day. This position is field-oriented, embedded with crews and foremen, and plays a key role in bridging field operations with project management. As a Construction Engineer, you will: • Partner with the Project Manageron coordinating and distributing all project information, • Work with the project team to ensure all contract documentlogs are up to date in real time, • Ensure status reports on RFIs, submittals and other documents are prepared and presented, • Write effective scopes of work for bid packages, • Effectively issue Request for Quotations and follow up with Trade Contractors and vendors, • Successfully update project schedules with CPM techniques, • Timely document field quality activities, • Prepare change management reports, estimates and other cost report documents, • Establish and maintain the project quality files and documentation systems, • Continually seek to understand customer goals and needs and act with a sense of urgency in meeting customer needs and demonstrating value, • Develop industry relationships and expand professional networks that have potential to generate opportunities for Next 150, • Attend jobsite coordination meetings, • Work closely with onsite equipment planner- coordinate delivery, staging, and movement of owned equipment and bulk materials, • Work closely with accounting to prepare and review billing, • Help prepare and distribute contracts/Pos, • Utilize construction management platforms (e.g., CMiC, Bluebeam, Procore) to support field reporting, labor tracking, and equipment logs., • Review and revise self-perform scopes of work for clarity and efficiency during preconstruction and execution phases., • Collect, analyze, and report productivity data for self-perform labor crews., • Assist in coordinating the field execution of self-perform work, supporting craft labor operations, material logistics, equipment deployment, and field productivity tracking to ensure safe, high-quality, and efficient project delivery. EXPERIENCE/EDUCATION, • BSorMS degree in Engineering, Construction Managementor similar field, • 2 - 6 years with a large trade contractor, construction management or general contractor organization, • Provenrecord of meeting organizational and personal goals while delivering results to a standard of excellence, • Demonstrated understanding of success metrics and risks associated with one's program, business unit or portfolio of projects, • Continually seek to understand customer goals and needs and act with a sense of urgency in meeting customer needs and demonstrating value, • Adjust effectively to work within new structures, processes,requirementsand culture, • Strong written and verbal skills, • Ability to work in ateam-basedenvironment, • Proficient in Microsoft Office programs, • OSHA 10-hourcertifiedrequired; OSHA 30-hour preferred, • BasicMEP Knowledge, • Understanding of Contract Document & Specifications, • Knowledge of CMiC and Bluebeam preferred, • Experience working in a self-performing environment (having spent time working for a self-performing general contractor), • Union experience a plus Next 150 Construction Services has an unwavering focus on safety, the environment and caring about everyone involved in our work. Qualified applicants who are offered a position must pass a pre-employment substance abuse test. Next 150 Construction Services is not accepting unsolicited resumes from third party recruiters at this time. Next 150 Construction Services is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, color, national origin, race, religion, sex, sexual orientation, gender identity, protected veteran status, or disability status. Submit your resume and create a profile for general considerations. Do you know anyone in your network who might be interested in joining the Next 150 Team? Click here to refer them ConnectWithNext150

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

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

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: • Own large new areas within our product, • Work across backend, frontend, and interacting with LLMs and ML models, • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 7+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, ___-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! ABOUT THE ROLE This role sits within Anaplan's IT Customer Experience organization and is focused on transforming how Anaplanemployeeswork. You will design, build, and scale AI tools, agents, and capabilities that drive productivity, smarter decision-making, and operational efficiency across our global workforce. Anaplan is building its Enterprise AI Center of Excellence (COE) - a one-stop shop for all internal AI at Anaplan - and is looking for an AI Principal Architect to lead it from a technical standpoint. This is a senior, newly created role at the intersection of hands-on enterprise AI engineering, internal system architecture, technical leadership, and workforce enablement. The AI Principal Architect will own the technical vision for Anaplan's internal AI - designing the reference architecture for LLMs, agentic AI, and Gemini Enterprise; setting engineering standards; evaluating emerging platforms; and ensuring every employee-facing initiative is built with rigor, scalability, and responsible design. This role carries a hybrid profile: deep individual technical contribution combined with team leadership influence. You will mentor engineers, guide architectural decisions, serve as the primary technical escalation point, and contribute a forward-looking perspective to the 2-3 yearAI technology roadmap - without necessarily holding formal management authority over all contributors. You will report directly to the Director, IT Customer Experience, who co-leads the Enterprise AI COE alongside the Financial Flexibility Lead and a GTM Champion as a 3-in-a-box. You will collaborate closely with Technical/Engineering teams (dotted-line, foragent development and delivery) and the Transformation & Financial Flexibility team (toidentifyAI-driven cost-saving opportunities). KEY RESPONSIBILITIES Reference Architecture & Enterprise AI Engineering • Own and publish the reference architecture for Anaplan's internal AI - covering LLMs, agentic AI frameworks, Gemini Enterprise integrations, and data pipelines., • Architect end-to-end internal enterprise AI solutions designed for the scale, security, and reliability requirements of a global workforce., • Set and enforce AI engineering standards, coding practices, code review processes, and technical guardrails across all internal AI projects., • Lead hands-on technical design reviews and guide implementation decisions from intake through production deployment., • Evaluate, select, and onboard new enterprise AI platforms and tools - providing technical recommendations grounded in internal workforce needs., • Design the LLM abstraction layer and multi-model strategy tooptimizecost, performance, and flexibility., • Define andmaintaintechnical evaluation criteria for the AI intake process - assessing feasibility,buildcomplexity, security risk, and integration requirements for employee-facing tools., • Ensure all internal AI initiativespassengineering, security, compliance, and responsible AI review before development begins., • Maintain enterprise AI technical policies, engineering standards, and responsible AI guardrails in partnership with Security and Compliance., • Translate approved internal use cases into clear technical specifications and hand off to engineering teams with full architectural context., • Define enterprise AI data layer and integration architecture across core systems (Salesforce, ServiceNow, Gainsight, Workday)., • Integrate with ServiceNow AI Control Tower to track all AI use cases, agents, and realized business value., • Implement human-in-the-loop, explainability, and auditability frameworks for all decision-impacting AI systems., • Partner with Finance to define and measure AI-driven ROI, ensuring alignment with enterprise value targets., • Provide technical direction, coaching, and mentorship to engineers across the AI Governance & Enablement and AI Operations & Insights teams., • Serve as the primary technical escalation point for complex internal AI delivery challenges and architecture decisions., • Partner with Technical/Engineering teams (dotted-line) on agent architecture, build quality, and delivery timelines., • Help define the technical bar for AI team hiring and contribute to onboarding and skills development programs., • Oversee the technical deployment and operationalization of AI agents and solutions, ensuring production readiness and stability for Anaplan employees., • Drive Gemini Enterprise adoption and lead AI Friday sessions with genuine technical depth., • Build andmaintainengineering dashboards tracking internal AI system performance, adoption rates, and ROI metrics., • Research and prototype emerging AI/ML techniques, large language models, agent frameworks, and enterprise tooling toidentifyinternal productivity and cost-saving opportunities., • Design and lead proof-of-concept pilots thatvalidatenovel internal use cases beforecommitting tofull engineering investment., • Build andmaintainthe AI innovation pipeline - a living backlog of high-potential experiments., • Work hand in hand with the Transformation & Financial Flexibility team toidentifyand technicallyvalidateAI-driven cost-saving opportunities in Anaplan's internal operations., • Act as technical advisor and AI subject matter expert to business unitsidentifyinginternal AI use cases., • Support the 3-in-a-box COE co-leadership (IT, Finance, GTM) with technical analysis, architecture reviews, and feasibility assessments., • 7+ years of software or AI/ML engineering experience, with at least 3 years in a technical lead, staff engineer, or principal-level role - ideally with exposure to enterprise IT or internal tooling environments., • Deep hands-onexpertiseacross the AI/ML stack: LLMs, retrieval-augmented generation (RAG), agent frameworks, orMLOpspipelines - with experience in enterprise or workforce deployment contexts., • Proven experience architecting and deploying enterprise-scale internal AI systems from design through production, including reliability, observability, and performance engineering., • Proficiencyin Python and enterprise cloud AI platforms (GCP Vertex AI, Azure AI, or AWS SageMaker) and AI orchestration tooling., • Hands-on experience with Google Workspace AI and Gemini Enterprise, or equivalent enterprise AI platforms (e.g., Microsoft Copilot, OpenAI Enterprise)., • Demonstrated ability toprovidetechnical leadership, mentorship, and architectural guidance to engineering teams without formal management authority., • Ability to manage competing priorities, dependencies, and delivery timelines across multiple workstreams., • Strong business acumen and communication skills - able to translate complex enterprise AI/ML concepts into business value narratives for C-level audiences., • Experience with AI governance frameworks, responsible AI principles, or enterprise AI policy and risk management for internal deployments., • Familiarity with ServiceNow or similar ITSM platforms and integration patterns., • Background in enterprise change management, internal AI enablement, or large-scale digital transformation programs., • Experience working with cross-functional finance or business transformation teams on AI-driven cost optimization., • Prior experience in an internal IT or enterprise technology function at a high-growth SaaS company. We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.

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 transform pharmacy benefits and healthcare navigation as a Senior Data Engineer (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: • 5+ 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$140,000—$160,000 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___.

Job Title: Senior AI/ML Research Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: Top Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local CACI has an exciting new opportunity in Florham Park, NJ for a Senior AI/mL Research Engineer. Apply machine learning, statistics, and best-of-breed AI capabilities to develop algorithms to solve challenging problems in networking, edge computing, cybersecurity, and autonomy. Research and develop innovative capabilities that incorporate machine learning and other advanced concepts in areas such as federated learning, network analysis, resource allocation & planning, and robust communications in challenging networking environments. Develop machine learning and statistics-enabled software capabilities and applications to be integrated into larger hardware and software systems. Lead technical efforts and interface with customers. Assist in developing new business concepts and successfully develop winning proposals to secure additional funding and work. Responsibilities: • Develop and justify the performance of algorithms in networking and edge computing-related domains., • Perform extensive detailed modeling and simulation, including quantifying the relative impact of candidate solution architectures., • Supervise projects and oversee the development of standalone applications and/or major software subsystems and components while adhering to software best practices., • Develop detailed technical plans with tasks, schedule, and labor estimates., • Develop automated tests to rigorously test and evaluate algorithms and software capabilities., • Act as a technical leader during proposal development and project execution., • Master’s degree in computer science, computer engineering, or machine learning and at least 5 years’ experience., • Experience developing algorithms, protocols, and software applications in networking, edge computing, and/or autonomy., • Strong background in machine learning and statistics., • Significant experience with Python and C++., • Comfortable using Linux operating systems and commonly used Linux utilities., • Some advanced knowledge of computer networking, including TCP/IP networking/OSI model, routing algorithms, Linux networking utilities and interfaces., • Ability to anticipate strengths and weaknesses of software solutions and perform simulation, testing, and evaluation to quantitatively compare alternative approaches., • Ability to effectively articulate research and development outcomes to senior staff and customers and act as a technical representative of the team., • Excellent oral and written communications skills., • Demonstrated effectiveness in leading, organizing, and executing technical efforts., • Must be a US Citizen with the ability to obtain, maintain and/or transfer the required security clearance as dictated by the contract, • Ph.D. in computer science, computer engineering, or machine learning., • Experience applying machine learning to signal processing and/or other time-series data analysis applications., • Experience with probabilistic generative modeling and Bayesian inference., • Knowledge of or experience with information theory, probability theory, parametric and non-parametric statistical tests., • Familiarity with concepts and techniques associated with adversarial AI and AI/ML assurance., • Top Secret clearance (SCI preferred). What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. The proposed salary range for this position is: $113,200 - $237,800 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Competitive compensation, 401k matching, parental leave, strong benefits, outstanding culture and so much more. This Jobot Job is hosted by: Kelsey Bannon Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $65,000 - $150,000 per year A bit about us: We are seeking a passionate and experienced Civil Engineer/Designer to join our dynamic team. This role is perfect for someone who thrives in a fast-paced environment and is eager to apply their knowledge and skills in civil engineering. The successful candidate will be involved in a wide range of engineering projects, from planning and design to implementation and maintenance. You will primarily focus on stormwater management, site design, and the use of Civil 3D and AutoCAD. This is a fantastic opportunity to work with a dedicated team of professionals and contribute to our ongoing success. Why join us? Employees are offered a competitive compensation package, including a 401k retirement program and paid holidays, as well as health, life, dental, vision, and disability insurances. Job Details Responsibilities: • Prepare civil site designs and plans for a variety of projects using Civil 3D and AutoCAD., • Develop and implement stormwater management plans, ensuring compliance with local and national regulations., • Collaborate with project managers, architects, and other engineers to ensure project objectives are met., • Conduct site inspections and surveys, and prepare detailed reports on findings., • Analyze data, maps, reports, and other information to plan and design projects., • Use computer-assisted engineering software and equipment to perform engineering tasks., • Provide technical advice to project team regarding design, construction, or modifications., • Bachelor’s degree in Civil Engineering or a related field., • Minimum of 2 years of experience in civil engineering, particularly in stormwater management and site design., • Proficiency in Civil 3D and AutoCAD is a must., • Strong knowledge of engineering principles, techniques, and procedures., • Excellent problem-solving abilities and attention to detail., • Strong communication skills, both written and verbal., • Ability to work effectively in a team and independently., • Proven ability to manage multiple projects and meet deadlines., • Professional Engineer (PE) license or the ability to obtain one is a plus. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

100% employee owned general contractor working on cutting edge projects along the front range! This Jobot Job is hosted by: Stephen Brainerd Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $100,000 - $140,000 per year A bit about us: Based in Englewood, Colorado we are a TOP Ranked and fully integrated organization offering infrastructure and general contracting services. We focus on Colorado projects in K-12, commercial, education, water, municipal, transportation and more. If you are an experienced Project Manager with experience in K-12 or municipal construction projects, then please apply! Why join us? • Colorado Based Projects!, • Top ranked organization!, • Competitive Compensation Package!, • Complete Benefits Package!, • Accelerated Career Growth!, • Fun Company Activities!, • Many More! Job Details We are seeking a highly skilled and experienced Project Manager to join our well established and growing team. The successful candidate will be responsible for overseeing all aspects of commercial construction projects from planning to implementation. This role requires a seasoned professional who can manage multiple tasks simultaneously and ensure that every project is completed on time and within budget. The ideal candidate is a problem-solver who can anticipate issues before they arise and who thrives in a fast-paced, challenging environment. Responsibilities: 1. Oversee and direct K-12 and municipal construction projects., 2. Oversee the work of the Project Engineer and supports/oversees the Project Superintendent, 3. Review the work progress on a daily basis., 4. Manage the budgeting, scheduling, and cost control processes of projects., 5. Handle RFI, submittals, and change orders effectively., 6. Read and understand drawings and specifications of each project., 7. Maintains a thorough understanding of the contract documents including plans, specifications, addenda, prime contract Qualifications: 1. Bachelor's degree in construction management, architecture, engineering, or related field., 2. Minimum of 5 years of experience in project management within the construction industry., 3. Proven experience managing K-12 or municipal construction projects., 4. Understanding of all facets of the construction process., 5. Familiarity with construction management software packages., 6. Ability to read and understand drawings and specifications., 7. Strong knowledge and experience in budgeting, quality control, scheduling, cost control, RFI, submittals, and change orders. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

If you're a Structural Engineer and want to work For a Top Tier, Civil and Structural Engineering Firm 60 years strong apply now! This Jobot Job is hosted by: Jennifer Thomas Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $100,000 - $160,000 per year A bit about us: We are an award winning Civil and Structural Engineering Firm with a stellar reputation and support a wide variety of high profile projects throughout the US. Our talented team drives innovation helping up to stay a leader in our industry. We offer a work environment that fosters innovation and the exchange of ideas without the limitations of hierarchy. We also acknowledge the need for a balanced integration of work and life and offer a competitive, well-rounded benefits package that includes 401k matching, flex time and paid family leave. Why join us? Competitive Salaries and Bonus Plan 100% Paid Health, Dental, and Vision Insurance – Comprehensive plans and options to protect you and your family. Reimbursement Accounts - Take advantage of an HSA (Health Savings Account) that includes KPFF contribution or FSAs (Flexible Savings Accounts) for health care and dependent care expenses, helping you save with pre-tax dollars. Retirement Savings Plans – Secure your future with our employer-supported plan, including a KPFF contribution, even if you don’t contribute. Paid Family Leave - Support your family and personal needs with six weeks of Paid Family Leave at 60% of your base salary, with the option to supplement with available PTO. Amazon Pharmacy - Enjoy convenient home delivery of maintenance, preventive, and over-the-counter medications Amazon Pharmacy. Paid Time Off - Invest in your well-being with PTO for vacation, personal days, and sick leave, plus paid holidays and floating holidays to suit your needs. Community Involvement – Join us in giving back through volunteer events, charity initiatives, and outreach programs. Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges, ensuring resources for every need. Recognition and Rewards – Celebrate achievements with recognition programs and performance bonuses. Job Details Our Austin Office is excited to be looking for a motivated Structural Engineers to join our team! You'll be able to choose your career path in a dynamic, growing office, with the support and backing of a large, national firm. We are looking for a licensed Professional Engineer in Texas with a solid technical background and a team-oriented mentality. Education/Qualifications: BS Degree in Civil Engineering with an emphasis in structures. PE License in Texas. 5+ years full-time experience in Structural Engineering. Strong verbal and written communication skills. Creative, proactive, and detail-oriented individual. Strong understanding of structural engineering mechanics and behaviors. Highly Preferred Qualifications: Master’s degree in Structural Engineering, or Civil/Architectural Engineering with an emphasis in Structures Project Management Experience Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Come join a growing General Contractor in Irvine! This Jobot Job is hosted by: Chris Gorman Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $80,000 - $100,000 per year A bit about us: As a company, we’re a full-service commercial general contractor serving retailers and developers throughout California. Our projects range from retail and restaurants to mixed-use developments, always focused on quality, sustainability, and strong community presence. Due to growth, we are looking to add a Project Engineer to our team. This hire will support our project delivery team in Irvine. You’ll play a key role bridging the gap between design, estimating, and field operations - ensuring our projects are delivered safely, on schedule, and within budget. Why join us? What We Offer: • Competitive base pay and overall compensation package, • Full benefits: Medical, Dental, Vision, • Generous PTO, vacation, sick, and holidays, • Life Insurance coverage, • 401K Job Details Responsibilities: • Assist in project planning, scheduling, and coordination of tasks across disciplines (architectural, structural, MEP, etc.)., • Review drawings and specifications to produce submittals, RFIs, change orders, and ensure design intent is maintained., • Collaborate with estimating, design, permitting, and procurement to accurately scope materials, labor, and equipment needed., • Track project budgets, costs, and schedule performance; update reports for senior project management., • Maintain project documentation, including daily logs, meeting minutes, submittals, shop drawings, and correspondence., • Support field operations by coordinating subcontractors, resolving technical issues, and helping to troubleshoot onsite problems., • Conduct site visits to monitor progress, quality, and compliance with safety and contract specifications., • Bachelor’s Degree., • 2+ years of experience as a Project Engineer (or similar) in commercial GC work - experience in retail, restaurants, or mixed-use is a plus., • Strong technical skills: ability to read and interpret construction drawings, specs, and shop drawings., • Excellent organizational and communication skills—must be capable of coordinating multiple moving parts and interfacing with subcontractors, vendors, and internal teams., • Familiarity with project management tools and software. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy