Cisco engineer jobs in Jersey City, New JerseyCreate job alerts

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

Senior Machine Learning Engineer - Model Evaluations, Public Sector The Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions. You will: • Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge-based evaluations., • Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes., • Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing., • Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes., • Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems., • Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases. Ideally you'd have: • Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings., • Strong programming skills in Python; experience with TensorFlow or PyTorch., • Background in algorithms, data structures, and object-oriented programming., • Experience with LLM pipelines, simulation environments, or automated evaluation systems., • Graduate degree in CS, ML, or AI., • Cloud experience (AWS, GCP) and model deployment experience., • Experience with LLM evaluation, CV robustness, or RL validation., • Knowledge of interpretability, adversarial robustness, or AI safety frameworks., • Familiarity with ML evaluation frameworks and agentic model design. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Position Overview: Our Field Engineer position requires with a high technical IQ and the proven ability to work independently to solve complex technical issues and execute project deliverables including programming advanced Audio-Visual systems, troubleshooting / commissioning systems and training customers on the use of leading-edge systems. As an AV Field Engineer, you must have deep understanding / expertise of advanced Audio-Visual technology, outstanding communication skills, ability to over-come project obstacles, make timely independent decisions, work effectively as part of the customers project team to ensure the highest level of system technical performance/up-time and achieve schedule milestones. Company Overview: We invite you to discover the excitement, diversity, rewards and excellence of a career at TRITECH Communications. With $100 million in annual revenues and 350+ employees, TRITECH is one of the nation’s leading technology system integrators serving clients in financial services, legal, technology and life sciences. Our OneSource business model provides clients with a single source for the design, installation and maintenance of large / complex Audio Visual, Communications, PoE Lighting and Security Systems. Our corporate headquarters is located in Garden City, NY and the company operates four regional operations centers in New York City, Boston, Miami, Washington DC, Dallas and Charlotte. Primary Responsibilities: • Write and modify DSP (Digital Signal Processing) files and coordinate control of DSP with the control system programmer., • Configure complex systems such as AMX, Biamp, Cisco, Crestron, Polycom, matrix mixers, switchers and codecs., • Configure IP addressable devices such as routers, switches and servers., • Independently drive project deliverables from installation phase through commissioning phase to final inspection - including diagnosing and solving system issues., • Load, test and troubleshoot all control code., • Train customers in all aspects of system functionality. Skills and abilities: • Excellent written and verbal communications skills., • Strong professional customer service skills., • Must be responsible, self-motivated, self-starter, personable and well-organized., • Ability to work with a diverse group of industry professionals., • Proficiency in the use of personal computers and advanced software. Qualifications: • Bachelors Engineering Degree or 3-6 years of Professional Audio-Visual field engineering experience plus exceptional technical IQ with a demonstrated deep knowledge of leading-edge Audio-Visual system functionality and DSP architecture., • Must possess ability to independently interface with customers, system engineers and design consultants., • Hold ICIA (International Communications Industry Association) certification as a Certified Technology Specialist (CTS) or higher., • Hold technical certifications from major equipment manufacturers such as Crestron, Extron, Clear One, AMX, etc. Travel: Travel required to customer locations, TRITECH’s fabrication facility and manufacturer locations for advanced technical training. Compensation: Commensurate with experience and includes a comprehensive benefits package: Medical, Dental, Vision, Voluntary Life Insurance, Domestic Coverage, Paid Family Leave, generous Paid Time Off, Commuter Benefit, 10 Paid Holidays, a 401k plan with a discretionary employer match and Company paid Group Term Life Insurance and Long Term Disability. Visit us at ___ TRITECH IS AN EQUAL OPPORTUNITY EMPLOYER

Multimedia Integration Manager Hybrid - New York, NY What are the top skills required for this role? 1. AV / Multimedia Project Management End-to-end delivery of corporate AV and multimedia projects including planning, execution, commissioning, and handover Strong experience with budgeting, scheduling, risk mitigation, cost control, and change management (PRINCE2 or similar) 2. Audiovisual Systems Design & Integration Deep technical expertise in AV, broadcast systems, and videoconferencing solutions Hands-on experience with system design reviews, schematics, BoMs, commissioning, and integration using platforms such as Cisco VC, Polycom, Crestron, Extron, Panasonic, NEC, Samsung, Sony, etc. 3. Vendor & Stakeholder Management Proven ability to manage multiple vendors, installation partners, and internal sourcing teams Strong RFP creation/review, vendor quality control, invoice approvals, and coordination across contractors (GCs, electrical, furniture, etc.) 4. Client Engagement & Operational Alignment Excellent client-facing skills including requirement gathering, expectation management, and solution recommendations Ability to align project delivery with operational, maintenance, and support standards, ensuring smooth transition to operations Job Description/ Responsibilities · Business unit engagement and gathering client requirements · Providing internal client recommendations & quotations · Budgeting, Project scheduling, Resource planning · Solution & design engineering (part of an internal team in partnership with Multimedia Infra Team) · Engagement with our internal REM (Sourcing) team · Installation vendor engagement and management · Integration RFP production and RFP review · Cost control & reporting · Drawing and schematic review and approval · Use of the Ariba platform for RFP production and placing purchase orders · Vendor quality control · Change order review and approval · System commissioning and handover · TCM turnovers (where relevant) · Liaison across client, general contractors, electrical contractors, furniture contractors etc prior to and during the Multimedia/AV installation · Partner with Multimedia Operations, Maintenance and Engineering to ensure consistency with the firm’s operational / support / infrastructure & technical requirements. · Monitor project performance, ensuring that variances and issues are understood and properly addressed · Troubleshoot and provide direction/solutions during design and implementation · Mitigate project risks · Manage internal client expectations · Review and approve vendor invoices for payment · Arrange, coordinate and manage project vendor meetings, agenda’s, minutes, snag lists etc etc · Attend all necessary CS and EIP project meetings · Snag list production, overview and resolution (across all relevant trades) · Time logging in PPM system · Maintain all project documentation following Multimedia standard processes · Archive project documentation for our support teams including; · Bill of Materials into asset register, as built schematics, architectural plans and elevations into maintenance folders Qualifications required · Project management qualification (Prince 2 or similar) · Broadcast systems design, project delivery and commissioning experience · Infocomm CTS-I qualification · Previous experience as a project engineer / manager · Extensive knowledge of audiovisual systems and videoconferencing technology · Understanding of operational processes and procedures. · Proven track record in the delivery of corporate AV projects to client specification · Strong logistical and resource planning skills · Technical understanding and manufacturer training on our core products including but not limited to; Cisco (videoconferencing), Polycom, Crestron, Extron, Panasonic, NEC, Samsung, Sharp, Sony Clock audio. · Team working & Influencing · Good communication skills · Microsoft Office Suite including Outlook, Excel, PowerPoint, Word and Project

About Scale AI At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI) and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most critical work for how humanity will interact with AI. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies. Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world's leading AI companies and government agencies to solve their most complex AI data-related problems. Responsibilities: • Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies., • Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions., • End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure., • Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation., • Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product., • Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. You'll work on everything from large-scale system architecture to customer-facing front-end application design., • At least 2 years of relevant experience is preferred, • Proven track record of shipping high-quality products and features at scale., • Strong problem-solving skills and the ability to work independently or as part of a collaborative team., • Desire to thrive in a fast-paced, dynamic environment., • Ability to turn business and product ideas into engineering solutions., • Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences., • Ability to adapt quickly to the ever-changing world of generative AI., • Experience with large-scale data processing and distributed systems., • Familiarity with machine learning and AI concepts., • Experience working directly with enterprise customers. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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

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

Experience with Linux networking and command-line tools.

CSI Companies is seeking a Telecom Analyst/Wireless Engineer to work with one of the top hospital systems in the country! Location: New York, NY 10016 Type: Hybrid (1-2 days per week onsite) Duration: Long-Term Contract (2+ years) Pay: $65 - $75/hr W2 Shift: Monday - Friday, standard business hours Description: Overview We are seeking a highly skilled Telecom Analyst / Wireless Engineer to support enterprise voice, telecom, and unified communications environments. This role will focus on design, implementation, maintenance, and troubleshooting of complex telephony systems, trading floor technologies, and network infrastructure across multiple platforms. Key Responsibilities • Design, implement, and support enterprise voice and unified communications systems, • Manage and maintain Cisco and Avaya telephony platforms, including upgrades and migrations, • Support call center technologies and voice recording systems, • Monitor and troubleshoot telecom and network performance using industry tools, • Provide support for trading floor communication systems (turrets, private lines, etc.), • Manage telecom infrastructure including circuits, gateways, and protocols, • Participate in data center operations, migrations, and disaster recovery planning, • Collaborate with cross-functional teams to deliver telecom-related projects, • Maintain accurate documentation, diagrams, and system configurations, • Utilize ticketing systems to track incidents, changes, and service requests Required Technical Skills Telephony & Unified Communications • Cisco Unity Connection, • Cisco Unified Communications Manager (CUCM) (8.6 – 12.5), • Cisco UCCX (Call Center), • Cisco IM & Presence, Jabber, WebEx, Teams, Skype, Spark, • Cisco PBX, voice gateways, and switching infrastructure, • Avaya Aura & Contact Center, • Trading floor turret systems (IPC, BT, Siemens, Speakerbus), • SIP, H.323, PRI, ISDN, T-1, DS-3, • PSTN technologies and private line configurations (hoots, ARDs, MRDs), • SolarWinds, Wireshark, • Call accounting systems (Veramark, Proteus, Calabrio), • Data center operations and infrastructure management, • Disaster recovery planning and execution, • Documentation tools (Visio, CAD, Microsoft Office Suite) Qualifications • Bachelor’s degree in Telecommunications, Network Engineering, IT, or related field (or equivalent experience), • 5+ years of experience in telecom/voice engineering roles, • Strong experience with Cisco and/or Avaya environments, • Experience supporting financial/trading environments is a strong plus, • Proven ability to manage complex telecom projects and migrations Preferred Skills • Experience in large enterprise or financial services environments, • Certifications such as CCNA/CCNP (Collaboration or Voice), Avaya certifications, • Exposure to cloud-based communication platforms, • Strong troubleshooting and analytical skills

We’re looking for an experienced Senior RF Wireless Engineer to design, survey, and optimize enterprise wireless networks. This role includes RF planning, predictive and physical site surveys, troubleshooting wireless performance, and supporting Cisco wireless infrastructure. Requirements • 5+ years of RF wireless engineering experience, • Strong RF design and site survey experience (Ekahau, spectrum analyzers), • Experience with Cisco wireless access points and controllers, • Knowledge of LAN/WAN, DNS, DHCP, VPN, and network security, • CCNP or CWNP certification, • Experience with RF design tools (Visio, AutoCAD)

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

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

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

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

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. About our Billing Team We're looking for entrepreneurial Software Engineers to join our Billing Platform team. In this role, you'll have the opportunity to drive the revenue tracking and billing system for our Generative AI products. You'll be deeply involved in building flexible, new systems to support customer billing use cases, implementing complex billing partitioning schemes based on dynamic criteria, and/or improving customer invoice generation and balance visibility. 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. The ideal person is a natural entrepreneurial engineer who can take an ambiguous scope and lead the execution of outcomes, doing what it takes to hit them incl coding, talking to customers, defining requirements, etc. We strongly believe the best engineers own outcomes and deeply understand customer problems. • Design, implement, and operate flexible and accurate financial systems, • Work across backend, frontend, and accounting-related systems, • Deliver at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • Be able, and willing, to multi-task and learn new technologies quickly, • Provide critical input in the Billing team's roadmap and technical direction, • Work closely with cross-functional partners like finance, product, software engineers, and operations to identify opportunities for business impact, understand, refine and prioritize requirements for billing schemes and financial infrastructure., • 5+ years of software engineering experience, ideally in high-growth, product-focused environments, • Proven track record of shipping production systems at scale, • Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability., • Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling, • Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal, • Strong product sense and ability to translate ambiguous problems into technical solutions, • Comfortable working in a fast-paced, high-ownership environment with a bias toward execution About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. Impact and Responsibilities: • Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals., • Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure., • Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle., • Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company. Ideally you'd have: • 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems., • Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)., • Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects, • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc., • Experience with orchestration platforms, such as Temporal and AWS Step Functions., • Experience with NoSQL document databases (MongoDB) and structured databases (Postgres)., • Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt)., • Experience scaling products at hyper-growth startups. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. 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 ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking a highly capable IT Support Engineer to join our IT team and deliver exceptional technical support across a secure, fast-paced environment. In this role, you'll be the frontline expert helping employees stay productive, troubleshooting issues, resolving requests, and keeping our systems running smoothly with a strong security-first mindset. You'll support day-to-day operations, assist with onboarding and offboarding, manage SaaS and endpoint configurations, and ensure employees have the tools and access they need to do their best work. As part of a small, high-impact team, you'll also help improve processes, maintain clean documentation, and contribute to ensuring reliable technical infrastructure. If you thrive in a dynamic environment, enjoy solving problems, and take pride in delivering thoughtful, high-quality support, we'd love to have you on the team. The ideal candidate brings hands-on experience with modern SaaS tools, endpoint management, troubleshooting methodologies, and clear documentation practices paired with a strong customer-service mindset and a commitment to operating in a secure, mission-driven environment. • Onboard and offboard employees, which includes: leading new hire orientations, provisioning and deprovisioning hardware, accounts, and access, • Provide general IT support to all global Scale employees, • Maintain and provide technical assistance with all office technology (printers, Zoom Rooms, room schedulers, and more)., • Own IT asset management and ensure accurate and actionable records are kept of required equipment., • Track, resolve, or dispatch all issues in our ticketing system (Jira Service Management)., • Create and update technology documentation for internal IT teams and for Scale employees., • Must be willing to be in-office 100% of the time (5 days a week in Scale's NYC office - 1 World Trade Center), • 2+ years of corporate IT experience., • Experience in administrating Google Workspace, Slack, Zoom, Okta, Azure AD/M365, • Deep understanding of hardware and troubleshooting: hardware and software (Mac, Windows), • Familiarity with MDM Services preferably Jamf and Intune, • Familiarity with Zoom Rooms and the Zoom admin console, • Experience working with remote teams and multiple offices globally, while using tools like Slack or Zoom to support them., • Security and Compliance-focused mindset, • AI-integration mindset for workflows About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$179,400—$224,250 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Frontier Data team builds the data and systems that power Scale's most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI / computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We're looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams. • Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment., • Build scalable services and pipelines that support agent workflows (e.g., coding, tool-use orchestration, GUI/computer-use tasks), with strong reliability and observability., • Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces., • Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity., • Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems., • Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization., • Raise the engineering bar through design reviews, code reviews, and pragmatic best practices., • 5+ years of full-time software engineering experience (post-graduation)., • Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability., • Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container-based services., • Demonstrated ability to ship quickly in ambiguous, fast-changing environments (high-growth startup experience is a plus)., • Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar., • Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued)., • Proficiency with SQL and modern database-backed application development. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,200—$270,250 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and has a passion for applying rigorous data science to deliver measurable business impact. You'll work on a mix of cutting-edge, customer-facing AI implementations. Our team powers projects like TIME's Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's powerful data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will play a crucial role in shaping how AI delivers measurable value in real-world applications for industry-leading companies. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations, including top industry leaders in telecommunications, e-commerce, finance, education, publication, insurance, and health. • Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers., • Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete data-driven solutions and robust statistical models., • End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle-from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation., • Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation., • Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real-world insights to influence our product roadmap and technical strategy., • Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems., • Leadership Growth: This role offers a unique opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career growth. You'll be positioned to become a future leader in a company defining the next era of technology., • 5+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis)., • Proven track record of shipping high-quality data products, models, or features at scale., • Strong problem-solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions., • Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets., • Ability to effectively communicate complex technical concepts to both technical and non-technical audiences., • Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI., • Excited to join a dynamic, hybrid team in either San Francisco or New York City., • Experience in a client-facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant)., • Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems., • Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray)., • Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. As our customer base is growing, you will be on the front lines 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. Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer's use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth. Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply! You will: • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Work closely with our customer's engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas, • Design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success, • Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer, • Be accountable for the customer's technical experience throughout their time with Scale, • Work with AEs and PMs to identify customer-specific feature requests, • Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations, • Evangelize Scale and interact with customers at major events, • Have an active TS/SCI clearance Ideally you'd have: • Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way, • Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals, • Prior experience developing with Python and JavaScript, or other modern software languages, • Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields, • Strong project management and interpersonal skills, • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers, • High level of comfort communicating effectively across internal and external organizations, • Intellectual curiosity, empathy, and ability to operate with high velocity Nice to haves: • Experience in AI, • Experience working in classified environments, • Previous experience as a technical go-to-market resource, • Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment, • Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment, • Experience automating infrastructure and configuration management using Ansible or similar tools Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$190,000—$290,000 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$170,000—$260,000 USDThe base salary range for this full-time position in the location of St. Louis is:$140,000—$220,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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

The Connectivity team owns the core platform that enables Scale to continuously generate, evaluate, and deliver high-quality training data to our customers. Our systems sit at the center of Scale's data and AI infrastructure, powering large-scale workflows while supporting frontier AI capabilities such as multi-modality, long-horizon reasoning, and agentic behavior. We're looking for a senior engineer with deep experience building robust platforms, someone who brings strong architectural judgment, a bias toward correctness and reliability, and the ability to design systems that scale and evolve cleanly over time. This is a backend-heavy role with full-stack expectations and significant ownership from design through long-term operation. • Design and own foundational platform systems that support scalable data generation, evaluation, and bespoke customer delivery across Scale's ecosystem., • Architect extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration., • Build and operate distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency., • Integrate with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns., • Design and maintain data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads., • Partner closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers., • Lead multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments., • Apply strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence., • Raise the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience., • 7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms., • Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases., • Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments., • Preferred: Experience integrating with public LLM APIs and designing systems that handle scale, reliability, latency, and cost tradeoffs. Preferred: Experience building or operating data processing and transformation systems supporting complex workflows and evolving schemas. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,200—$270,250 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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

Scale AI is seeking a highly skilled and motivated Software Engineer, ARC (Architecture, Reliability, & Compute) to join our dynamic Public Sector Engineering team. As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts. You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages. You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments. You will: • Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure., • Own services or systems and define their long-term health goals, while also improving the health of surrounding components., • Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus., • Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment., • Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment., • Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering., • Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$184,000—$259,440 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$165,600—$233,496 USDThe base salary range for this full-time position in the location of St. Louis is:$138,000—$194,580 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. 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 Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system. These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential. You will: • Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products., • Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines., • Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability., • Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles., • Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment., • Document pipeline processes and configurations to ensure maintainability and knowledge transfer., • Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes., • 2-3 years of experience as a DevOps Engineer, DevSecOps Engineer, Software Engineer with a strong focus on CI/CD, or a similar role., • Proven track record of building or significantly enhancing CI/CD pipelines., • Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments., • Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc., • Familiarity with cloud platforms (e.g., AWS, Azure, GCP)., • Strong proficiency in scripting and automation (e.g., Python, Bash, PowerShell)., • Familiarity with various CI/CD platforms (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps)., • Knowledge of software architecture, system design, and version control systems., • Comfort with rapidly changing, fast-paced environments and a passion for finding automated solutions to complex problems., • Basic understanding of security best practices in software development and an eagerness to integrate them., • A hunger for learning new technologies, particularly in the realm of integrating ML into automated workflows., • Strong problem-solving, analytical, collaboration, and communication skills., • Experience with containerization technologies (e.g., Docker, Kubernetes)., • Exposure to machine learning lifecycles or MLOps concepts. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking a highly skilled and motivated Mission Software Engineer 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: • Work directly with customers to understand their problems and translate those into features in Scale's platform., • Be open to >50% 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., • This role will require an active TS/SCI security clearance or the ability to obtain a security clearance. Ideally you have: • 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 About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job Description Job Overview We are currently seeking a full time Level I/II MAC and PC Support Engineer with 1-2 years of extensive hands on experience with the following: Desktop/Laptop, MAC and Printer troubleshooting. Responsibilities • Provide phone support and on-site remediation for workstation issues, • Troubleshooting and resolving customer system problems across a broad range of technologies, • Provide onsite installations of new software and upgrades, • Provide installation of service Packs and security updates, • Provide onsite support and installations to clients, • Provide Desktop support including analyzing and resolving end-user issues, • Knowledge of MAC and Windows operating systems and desktop applications, • Experience with installing, configuring, and administering a broad range of technologies, • Excellent written and verbal communication skills, • Knowledge of Cisco Phone Systems a plus Founded in 1998, Lincoln Computer Services is a growing custom IT solution provider, servicing New York City and Long Island, New York. If you are interested in working for a growth-oriented company with a culture that exudes collaboration, integrity and a passion for technology, submit your resume today! Powered by JazzHR BtfNlymvjB

Job DescriptionJob Overview We are currently seeking a full time Level I/II Desktop Support Engineer with 2-3 years of extensive hands-on experience with the following: PC, Mac and Printer break/fix. Responsibilities • Provide phone support and on-site remediation for workstation issues, • Troubleshooting and resolving customer system problems across a broad range of technologies, • Provide onsite installations of new software and upgrades, • Provide installation of service Packs and security updates, • Provide onsite support and installations to clients, • Provide Desktop support including analyzing and resolving end-user issues, • Provide printer troubleshooting Skills & Experience, • Knowledge of MAC and Windows operating systems and desktop applications, • Experience with installing, configuring, and administering a broad range of technologies, • Reliable, who can work with little to no supervision, • Excellent written and verbal communication skills, • Knowledge of Cisco Phone Systems a plus Powered by JazzHR OLUSueZj8n

Job Description Job Overview We are currently seeking a full time Level I/II MAC and PC Support Engineer with a 1+ years of extensive hands on experience with the following: iMac and Macbook repairs, also all OSX operating systems. Support all MAC and Windows environments on site. Responsibilities • Provide phone support and remote remediation for workstation issues, • Troubleshooting and resolving customer system problems across a broad range of technologies, • Provide remote installations of new software and upgrades, • Provide remote installation of service Packs and security updates, • Provide onsite support and installations to clients when necessary, • Knowledge of MAC and Windows operating systems and desktop applications, • Experience with installing, configuring, and administering a broad range of technologies, • Excellent written and verbal communication skills, • Knowledge of Cisco Phone Systems a plus Founded in 1997, Lincoln Computer Services is a growing custom IT solution provider, servicing New York City and Long Island, New York. If you are interested in working for a growth-oriented company with a culture that exudes collaboration, integrity and a passion for technology, submit your resume today! Benefits Lincoln offers a competitive salary, training and education, a great benefits package (medical, dental, vision, 401k), generous paid time off and an excellent work atmosphere. Powered by JazzHR djx7IB0qxP

Job DescriptionDesktop/Workstation Design EngineerEmployment Type: Full-Time, ExperiencedDepartment: Information Technology CGS is seeking an experienced Desktop/Workstation Design Engineer to participate in architecture discussions, system reviews, design planning, and technology roadmap planning for current and future desktop integration efforts. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- Acts as the Subject Matter Expert for the development and implementation of the Desktop Operating System (OS) Images. - The candidate engineers’ robust solutions for large-scale deployment of software using OS deployment technologies such as Microsoft Endpoint Configuration Manager (MECM) and the Microsoft Deployment Toolkit (MDT). - Develops tests and implements software distribution packages, to include updates to software applications to be applied to desktops, laptops, tablets, and servers used within the enterprise. - Provides information and recommendations to meet various user-based software requirements. - Strong familiarity with scripting languages such as Powershell and VB script. - Implements server OS deployment methodologies to include automated server build processes. - Provides support for an OS patching infrastructure such as HCL BigFix or Windows Update/MECM that applies mandatory security updates to enterprise systems. - Analyzes, evaluates, and recommends desktop, laptop, tablet, and server hardware. - Performs security related tasks which include, documentation, vulnerability scan review, assessment support, patch management, and auditing as required. Qualifications:- The ideal candidate for this position will possess experience with integrating and upgrading desktops and laptops from the Windows 7 operating system to Windows 10 operating system, upgrading Microsoft and 3rd party applications, and have experience with litigating software such as Ipro and Concordance. - The ability to work independently with only minor guidance is a must. Our team is engineering a Windows 10 image on an Intel based system which will be integrated with Microsoft Exchange 2013, Microsoft Office 2013, and various 3rd party applications. · Windows OS engineering experience· Understanding of the application of security controls on the image· Microsoft Office engineering experience· Integrating anti-virus applications in an image· VPN/Remote access (Cisco Secure Access with RSA a plus)· Windows Scripting experience· Good writing skills Ideally, you will also have:- VB and/or VBA coding experience a plus· VDI/Citrix experience· SMS/SCCM experience a plus· Understanding of PKI· VMWare experience· Litigating software such as Ipro and Concordance Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionSalary: $60K-$200K Depending on Experience Pathway Partners LLC is looking for talented Network Engineers at both Junior and Senior levels to join our ranks for future projects. You would play key roles in designing, operating, and maintaining customer LAN, WAN, and WLAN networks. Junior Network Engineer Types of skills and experience we are looking for: • At least 2 years of experience in network engineering, • Cisco CCNA certification (or equivalent), • Basic understanding of LAN, WAN, and WLAN technologies, • Familiarity with network protocols (TCP/IP, DHCP, DNS, etc.), • Basic knowledge of network security principles, • Assist in designing and implementing network solutions, • Perform basic network troubleshooting and maintenance, • Help with network documentation and inventory management, • Participate in network monitoring and basic issue resolution, • Support senior engineers in larger projects and deployments, • Learn and apply network management tools for anomaly detection Senior Network Engineer Types of skills and experience we are looking for: • 5+ years of experience in network engineering, • Cisco CCIE certification (or equivalent advanced certification), • Extensive experience with LAN, WAN, and WLAN technologies, • In-depth knowledge of routing and switching protocols, • Strong background in network security and best practices, • Experience with cloud networking (AWS, Azure, or GCP), • Design, develop, test, and deploy complex data communication networks, • Lead network architecture planning and implementation, • Perform advanced troubleshooting and optimize network performance, • Implement and manage network security measures, • Mentor junior engineers and oversee their work, • Evaluate and recommend new networking technologies, • Implement advanced network management systems to detect anomalies, mitigate failures, and prevent unauthorized access Junior and Senior Network Engineers Traits we are looking for across Network Engineer candidates: • Experience in designing, developing, testing, and deploying data communication networks, • Familiarity with network management tools for monitoring, alerting, and anomaly detection, • Strong analytical and problem-solving skills, • Excellent communication skills, both written and verbal, • Ability to work effectively in a team environment, • Willingness to participate in on-call rotations for network support If you have experience building and maintaining robust, secure, and efficient networks, we want to hear from you. Share your resume for potential network engineering projects. Depending on the project, roles may short- or long-term, as well as part-time consultancy or full-time employment. Full-time employees of Pathway receive competitive benefits.

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

The goal of a Staff Machine Learning Engineer at Scale is to lead the design and deployment of agentic AI systems that operate in real-world, mission-critical government environments. On the Public Sector team, you'll work at the intersection of agentic ML, systems engineering, and applied research, building foundational infrastructure that enables AI systems to reason, plan, and act reliably at national scale. Our Public Sector ML Team partners directly with U.S. defense and intelligence agencies to deploy AI into classified and regulated environments. Through flagship programs like ___ and ___, we are advancing the next generation of agentic AI for geospatial reasoning, planning, and decision support. Staff Machine Learning Engineers play a central role in setting technical direction, owning core architectures, and translating ambitious ideas into production systems trusted by government operators. You will: • Lead the architecture and implementation of agentic AI systems, with a focus on long-horizon reasoning, orchestration, and system-level reliability., • Build and scale agents that perform complex geospatial reasoning, including interpreting, generating, and reasoning over maps and spatial data., • Design and improve retrieval systems across large collections of static and semi-structured documents, enabling agents to surface high-signal context efficiently., • Fine-tune and evaluate embedding models to improve recall and precision for mission-critical datasets., • Design memory systems that allow agents to persist state, operate over long contexts, and learn from prior interactions., • Own and evolve shared agentic infrastructure and core libraries, enabling reuse across teams, products, and Public Sector contracts., • Define evaluation strategies for agentic systems, including robustness testing, failure-mode analysis, and regression testing in production environments., • Partner closely with engineering managers, product leaders, and researchers to scope high-impact initiatives and unblock execution across teams. Ideally You'd Have: • 8+ years of experience building and deploying applied ML systems in production environments., • Deep experience with agentic systems, autonomous workflows, or ML systems that reason and act over multiple steps., • Strong background in ML systems engineering, including model serving, pipelines, monitoring, and evaluation., • Hands-on experience with retrieval systems, embeddings, or representation learning., • Proficiency in Python and modern ML frameworks (ex: PyTorch), with the ability to design systems end to end., • Demonstrated ability to operate at Staff-level scope: setting technical direction, owning ambiguous problems, and driving 01 initiatives to production., • High ownership over 01 systems that move directly into production., • Real-world constraints that force thoughtful engineering tradeoffs, not just model tuning., • Opportunity to shape foundational agentic infrastructure used across multiple teams and missions. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The application window is expected to close on: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Position Overview: We are seeking a highly skilled Solutions Engineer with a minimum of 3-5 years of experience, preferably in a customer-facing sales engineering role, to join our Commercial team in New York City. The ideal candidate will have a strong technical background in campus network design, including switching, wireless, and routing, and will be responsible for selling a broad portfolio including security, data center networking, compute, and collaboration solutions. Curio Key Responsibilities: * Serve as a trusted technical advisor and subject matter expert to customers and partners. * Design and present comprehensive solutions that address customer business needs and technical requirements. * Collaborate closely with sales teams to drive technical sales opportunities to closure. * Provide expertise in campus network design, including switching, wireless, and routing technologies. * Support sales efforts across security, data center networking, compute, and collaboration product lines. * Engage with partners to enhance solution delivery and customer success. * Maintain up-to-date knowledge of Cisco technologies and competitive landscape. Required Qualifications: * 3+ years of experience in a customer-facing sales engineering or technical pre-sales role. * Understanding or background in campus network design, including switching, wireless, and routing. * Experience selling or supporting security, data center networking, compute, and/or collaboration solutions. * Ability to translate complex technical concepts into business value. Preferred Qualifications: * Cisco CCNP Enterprise (CCNP EN) certification or Cisco Certified Internetwork Expert (CCIE) certification. * Proven track record of success in technical sales or solutions engineering roles. * Strong communication and interpersonal skills with the ability to engage effectively with customers and partners. * Familiarity with Cisco's commercial market and customer base. Personal Attributes and Mindset: * Demonstrates strong curiosity and a passion for continuous learning to stay ahead in a rapidly evolving technology landscape. * Committed to driving growth for customers, partners, and Cisco through innovative thinking and proactive engagement. * Thinks really big, embracing bold ideas and strategic vision to create impactful solutions. * Plays to win by maintaining a competitive spirit and a results-oriented approach in all endeavors. Location: New York City Metropolitan Area At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. The starting salary range posted for this position is $205,500.00 to $259,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $205,500.00 - $298,300.00 Non-Metro New York state & Washington state: $197,600.00 - $286,900.00 • For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

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 ___. 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 Description We currently have an immediate need for field technicians who can perform the installation of desktops, laptops, servers and of networking gear, specifically pre-configured Cisco/Meraki routers and switches. Occasional site surveys (physical) also needed. These are pre-scheduled installations based on the customer's needs and schedules and we normally have 3-5 days advanced knowledge of date and time. The field resource should know and understand Cisco commands and have the tools required to console into the gear and act as on site "Smart Hands" for the NOC engineer with which they will be working. Each install is paid on a 3-hour minimum basis, If the install should take more than three hours, you will be paid based on the agreed upon hourly rate in 1⁄4 hourly increments. The install requests will be based on your base location and what locations you feel comfortable commuting to, based on this work model. This is NOT permanent work... We are looking for professionals who work as independents and are available to handle as needed work in your area, as the installations arise. Installations are starting immediately however and we are looking to move forward with qualified individuals immediately If interested, please apply immediately so we can discuss further.. Company DescriptionSource 1 Solutions is the trusted IT partner your organization needs. With an elite technical network spanning 118 countries, we specialize in monitoring, managing, and maintaining enterprise infrastructure for enterprise & mid-market organizations.Source 1 Solutions is the trusted IT partner your organization needs. With an elite technical network spanning 118 countries, we specialize in monitoring, managing, and maintaining enterprise infrastructure for enterprise & mid-market organizations.

This Jobot Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: Diversified global enterprise operating at the intersection of media, information services, and technology. With a long-standing history of innovation and reinvention, we support a broad portfolio of businesses spanning digital media, financial services, healthcare, data analytics, and software-driven platforms. Why join us? This is a chance to build the future of automation at enterprise scale. You won’t be maintaining legacy processes—you’ll be designing how systems integrate, how data flows in real time, and how AI-driven automation transforms IT operations. You’ll have the autonomy to shape the roadmap, deliver visible wins quickly, and influence how a large organization modernizes asset management and governance. If you’re a hands-on engineer ready to step into automation and AI leadership, this role offers real ownership, meaningful impact, and the opportunity to leave behind systems that are smarter, faster, and built to last. Job Details Director, Asset Automation & Systems Integration Job Description About the Role We are seeking a forward-thinking and highly technical Director of Asset Automation & Systems Integration to lead the transformation of enterprise asset management capabilities. This role goes far beyond traditional IT asset management. It is focused on building the foundation for a fully automated, AI-enabled future where disparate systems integrate seamlessly, data flows automatically, and manual reconciliations are eliminated. The ideal candidate is a hands-on technologist with proven experience in systems integration, automation, and modern infrastructure engineering. This role manages a small, established asset management team, but the primary focus is on designing and delivering next-generation solutions: connecting critical data sources to the CMDB, developing live integrations, enabling AI-driven automation, and shaping the long-term roadmap for automation and digital workforce capabilities. This is a rare opportunity to build the future of IT operations at scale and is well suited for an engineer with an identity, cloud, or network background who is ready to expand into AI and automation leadership. Key Responsibilities Systems Integration & Automation Design, build, and maintain integrations between CMDB platforms, identity systems, security tools, cloud services, and network portals. Evaluate failed or inefficient integrations, conduct retrospectives, and recommend scalable, sustainable solutions. Create and execute a technical roadmap to achieve live, automated data flows across the enterprise. AI & Automation Roadmap Drive adoption of AI tools and autonomous agents to enhance IT operations. Partner with automation teams to leverage shared toolkits and establish best practices. Position the asset management function for a future where governance and operations are highly automated. Leadership & Stakeholder Management Manage and mentor a team of asset management professionals, guiding them toward higher-value, automation- and AI-driven work. Collaborate closely with infrastructure, identity, cloud, network, and security engineering leaders. Engage senior leadership, providing clear updates, recommendations, and strategic guidance on automation initiatives. Strategic Delivery Deliver near-term automation wins while building toward long-term AI-enabled capabilities. Collect, analyze, and synthesize input from engineering and security teams to ensure the CMDB contains meaningful, actionable, and trusted data. Own retrospectives on unsuccessful initiatives and propose cost-effective, technically sound alternatives. Qualifications Technical Expertise (any of the following) Identity Engineering: Experience with modern identity platforms such as SailPoint, Okta, or equivalent. Cloud Engineering: Azure, AWS, or Google Cloud with hands-on experience in integrations and automation. Network Engineering: Strong experience with network portals, device integrations, and providers (e.g., Cisco, Meraki, Palo Alto). Required Skills Proven experience designing and implementing integrations across enterprise systems. Deep technical understanding of automation concepts, APIs, and system interoperability. Strong knowledge of data normalization, deduplication, and synchronization. Ability to create and execute a technical roadmap. Curiosity and demonstrated aptitude for AI and emerging automation technologies. Preferred Qualifications Prior leadership or small-team management experience. Experience with ServiceNow CMDB or equivalent platforms. Strong business acumen, with the ability to balance cost, efficiency, and risk in technical decision-making. 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

Job Description▶︎ Job Details ・Job Title: Japanese Bilingual Mid–Senior Network / Security Engineer ・Client: Japanese IT Company ・Working Location: New York, NY 10022 ・Working Style: Hybrid (2–3 days/week onsite) ・Employment Type: Full-time ・Salary: $70,000 – $100,000 (DOE) ・Benefit: Standard benefits package ・Visa Support: Possible ・Working Hours: 9:00 AM – 5:00 PM (after-hours/weekend incident response may be required; compensatory time off available) ・Language: Japanese & English (Bilingual)▶ Key Responsibilities: • Design, implement, and maintain IP network infrastructure including firewalls, routers, and switches, • Configure and support servers, PCs, networks, and telephony hardware/software for customers, • Perform onsite installation and troubleshooting at client offices and data centers (NY/NJ/CT); occasional business travel required, • Provide remote and onsite technical support for network and infrastructure environments, • Manage pre-sales and post-sales technical projects, coordinating with vendors and subcontractors, • Conduct security assessments and implement tailored network/security solutions, • Build, operate, and enhance security technologies such as endpoint protection and network security platforms, • Respond to infrastructure incidents and participate in emergency support when needed, • Maintain installation records, project documentation, and troubleshooting logs, • Report project and issue status to project leaders, • Support proposal and quotation preparation, • Research products and market trends, • Support existing customer accounts and ensure high service quality, • Collaborate closely with sales teams on solution delivery, • Mentor junior engineers as needed▶︎ The right candidate will possess:, • Strong hands-on experience in enterprise network environments, • Solid IP networking fundamentals, • Client-facing communication skills in Japanese and English, • Flexibility to respond to infrastructure incidents outside business hours, • Ability to manage multiple projects and priorities simultaneously, • Adaptability to evolving technologies▶︎ Required Qualifications & Skills:, • 4–6+ years of practical experience in network engineering (junior–senior level considered), • Experience with Cisco, Fortinet, Palo Alto (firewalls, routers, switches), • Network certifications such as CCNA / CCNP preferred (practical experience prioritized), • Unix/Linux and Windows server operation, • LAN / WAN technologies, • Virtualization and storage platforms, • Security tools including endpoint protection and vulnerability assessment, • Experience with Microsoft, Citrix, VMware environments yAONBfXqXz

Job DescriptionSenior Systems Engineer /Core Infrastructure, VMware *US Citizens or GC Holders *On-site daily in Jersey City, NJ Position Overview We are seeking a highly skilled and experienced Senior Systems Engineer to join our IT Infrastructure team. This role focuses on the design, implementation, management, and optimization of core infrastructure systems with a specialization in VMware and related technologies. The Senior Systems Engineer will play a key role in ensuring the stability, scalability, and security of the organization’s IT infrastructure. Key Responsibilities • Core Infrastructure Management, • Design, deploy, and manage enterprise infrastructure, including servers, storage, and networking components., • Monitor system performance, troubleshoot issues, and implement improvements to ensure high availability and reliability., • Lead infrastructure-related projects, including upgrades, migrations, and system integrations., • VMware Administration, • Architect, implement, and maintain VMware vSphere environments, including ESXi hosts and vCenter servers., • Optimize virtual infrastructure for performance, scalability, and cost-effectiveness., • Manage virtual machine provisioning, snapshots, and backups., • Configuration Management, • Develop and maintain scripts (PowerShell, PowerCLI, Python, etc.) for system automation and process improvements., • Automate repetitive tasks, enhance monitoring capabilities, and ensure system configurations adhere to best practices., • Implement and maintain security measures to protect core infrastructure systems., • Ensure compliance with organizational policies, industry standards, and regulatory requirements., • Collaboration and Leadership, • Work closely with cross-functional teams, including network engineers, database administrators, and application developers., • Mentor junior team members and provide technical leadership. Core Systems and Infrastructure: • Windows Servers: Configuration, management, and performance tuning, • Active Directory (AD): Management of users, groups, and roles, • Group Policy (GPO): Administration and customization, • DNS and DHCP: Configuration and troubleshooting, • Public Key Infrastructure (PKI): Implementation and management, • VMware vSphere, ESXi, and vCenter, • Backup and replication tools: Veeam, Rubrik, Zerto, CommVault, • High-availability design, clustering, and disaster recovery (D.R.) solutions, • SAN, NAS, and Storage Spaces Direct, • Familiarity with NetApp, Dell EMC, and HPE storage solutions, • Tools: SolarWinds, SCOM, PRTG, • Synthetic transactions and real-time alerting, • Performance tuning for Windows servers and virtual environments, • Root cause analysis for recurring performance issues Qualifications • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)., • Experience: Minimum of 7 years of experience in IT infrastructure engineering, with at least 5 years focused on VMware technologies., • Certifications:, • VMware certifications (e.g., VCP, VCAP, or VCDX) are strongly preferred., • Excellent problem-solving and analytical abilities., • Strong communication skills, both written and verbal., • Ability to work independently and collaboratively in a fast-paced environment., • Commitment to continuous learning and professional development.

Job DescriptionWe are currently seeking Full Time Tier I/II Network Voice/Field Engineer with a minimum of 3 years of hands-on experience. As a Level I/II Network Voice / Field Engineer, you will be part of a field team dedicated to resolving customer issues in a prompt, professional and friendly manner while focusing on positive customer experiences. Responsibilities: • Provide phone, remote and onsite support and remediation for network device issues, • Troubleshooting and resolving customer system problems across a broad range of technologies; Network devices, all peripheral devices, application and enterprise system support; computer hardware and software issues, • Telephony/VOIP experience, • Provide remote and onsite installations of new software and upgrades, • Provide remote and onsite installation of service Packs and security updates, • Provide help desk support including analyzing and resolving end-user issues, • Routing protocols EIGRP, OSPF, and BGP; configuring, troubleshooting, typical show commands to research issues, • Racking and stacking Cisco 2900, 3700, 3600, 3800, 4500, 6500 series switches, • Upgrading firmware on Cisco switches, • Tools for upgrading firmware on Cisco switches; TFTP and FTP server, thumb drive, • Configuration of Cisco switches in command line via console and SSH, • Working knowledge of power distribution units (PDU); Tripp-Lite, Raritan Power, APC; and power cord types; twist-lock L6-20, L6-30, C12, C13, C14, • Working knowledge of uninterruptible power supply (UPS) units; Schneider Electric, Emerson Power, APC; replacing batteries, connecting units to the network, power input and output types; L6-20, L6-30, • Working knowledge of networked console servers; Tripp-Lite, Avocent, • Working knowledge DNS and DHCP; What is a host record, reverse look-up zone, CNAME. What is a static IP addressSkills & Experience:, • 3+ years' experience in network engineering, • Bachelor's degree, • CCNA, A + and Network + certification is strongly recommended, • Project Management, Problem Solving, • Understanding of Data Center environment, • LAN Knowledge, Proxy Servers, Networking Knowledge, Network Design and Implementation, Network Troubleshooting, Network Hardware Configuration, Network Performance Tuning, • Understanding of networking protocols (e.g., IPSEC, HSRP, OSPF, 802.11, QoS.), • Cisco Routers, Cisco Switches, Cisco IOS, OSPF, Layer 2, Layer 3, advanced IP Addressing, IPSec VPN, Configuration of secure routing solutions, WLAN, LAN and WAN, • Experience deploying and troubleshooting NAC for wired and wireless access preferred, • Maintenance of Infoblox's DNS, DHCP, and IP address management (DDI) a Plus, • Ability to troubleshoot jack activations, connection issues is a must Founded in 1998, Lincoln Computer Services is a growing custom IT solution provider, servicing New York City and Long Island, New York. If you are interested in working for a growth-oriented company with a culture that exudes collaboration, integrity, and a passion for technology, submit your resume today! Powered by JazzHR OZ8lCWO7cv

Job DescriptionAHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. The AHEAD Security Specialty Solutions Engineer (SSE) will be focused on security technologies and solutions. The SSE is considered a subject matter expert in this area, with responsibility for selling and designing complex security solutions. The SSE is also considered an organizational thought leader for security within the company. You will work in partnership with sales representatives, practice leaders, and other SSE team members to build a market strategy and assist with account planning for existing and prospective clients. As part of this strategy, you will help sales representatives identify potential security technologies and vendors to partner with for individual clients or in a given region. You will assist with driving this strategy throughout a given campaign. In partnership with other senior and principal SSEs in your practice, you will assist with diagrams, bill of materials, proposal content, and other documentation associated with active security sales campaigns. You will also assist with achieving the proper training and certifications necessary to sell the security solutions we are positioning. Time management and prioritization are essential attributes to be successful. In this capacity, you will work to define security strategies, compare and contrast alternative approaches, and build key relationships, as well as size and configure security products. Positioning and leveraging subject matter experts and other AHEAD consultants is a necessity to scale your effectiveness within accounts. Roles and Responsibilities • Active participation in the AHEAD Security team and related virtual teams., • Be a thought leader within the Solutions Engineering organization, responsible for designing, architecting, and, at times, consulting for AHEAD clients in the security domain., • Build skills, relationships, and industry credibility across many segments to drive product, services, and consulting sales in the security space., • Support the sales teams during engagements by providing advice, solutions, or proposals optimized to meet customer technical and business requirements., • Develop relationships with other Security SSE team members, leaders, and partners in support of sales objectives., • Strategize and execute technical sales calls., • Complete required pre-sales documentation (configurations, pricing, services, presentations, justifications, etc.) quickly and accurately., • Qualify sales opportunities in terms of customer technical requirements, decision-making process, and funding., • Present and market the design and value of proposed AHEAD security solutions and business justifications to customers, prospects, and AHEAD management., • Participate in the mentorship of entry-level team members., • Possess strong, detailed product/technology/industry knowledge in the security domain., • Knowledge of job-associated software and applications. Qualifications, • Experience with any SASE vendor is a significant differentiator, • 3 – 5 years technical experience with security controls in one or more areas such as: Firewalls, IDS/IPS, NTA, NDR, NGAV, EDR, SIEM, Vulnerability Scanning, DLP, Penetration Testing, • Experience in architecture design that brings together and integrates solutions across multiple vendors, • 3 - 5 years acting as a consultant for clients, advising on technical solutions and participating in pre-sales and solution development., • Familiarwith Public Cloud providers: AWS, Azure, GCP, • Ability to grasp new technology concepts quickly and assist others in understanding them as well., • Ability to evaluate new technologies and provide internal training, • Ability to understand customer needs, define requirements, and design solutions, • Ability to develop and present architectural recommendations and implementation/ assessment services, • Expertise with Vendor Configuration Tools Preferred Skills, • Excellent written and verbal communication skills, • Excellent presentation skills, • Strong Technical Aptitude, • Provide technical leadership assuring quality, maximizing team output, • Self-motivated Preferred Certifications, • Industry: CISSP, CISA

Job Description Audio-Visual Systems Engineer Precise AV is a leading, NYC-based system integration company offering Audio Visual, videoconferencing and managed services solutions. Headquartered in Long Island City, just 15 minutes from Manhattan, we are innovative problem solvers, focused on helping people create well-planned, attractive presentation spaces that improve collaboration and productivity. We have an immediate opening for an Audio-Visual Systems Engineer. Our ideal candidate will have three to five years’ experience troubleshooting, servicing and installing Audio Visual systems. Responsibilities: • Troubleshoot & diagnose Audio visual equipment failures, resolving problems and/or identifying equipment in need of replacement or manufacturer repair, • Provide onsite support and troubleshooting of control systems, DSP systems, projection systems, display devices and signal switching, • Work remotely with Control and DSP programmers to commission, debug and troubleshoot systems in-house and onsite, • Initiate Manufacturer’s RMAs and coordinate resolution with clients, office and vendors, • Install and configure wired and wireless Audio and Control network systems and microphones, • Assist in configuring web conferencing applications (Go-to meeting, Webex, Skype, BlueJeans), • Work with clients to coordinate functionality of wired and wireless data networks, to support video conferencing, VOIP, streaming media and control systems, • Read and understand AV system drawings and project documentation, • Report directly to Project Managers and Team Leaders. Provide daily updates on project status, • Collaboratively communicate with managers and co-workers Required Qualifications: • 3-5 years’ experience with commercial AV integration, • InfoComm CTS-I strongly desired, manufacturer certifications a plus, but not required, • Understanding of control and video distribution, structured cabling, equipment rack fabrication and terminations, including soldering, CAT5/6 and other common AV connectors, • Experience working with Crestron, Polycom, Cisco, Extron and AMX systems, • Experience in creating and deploying site files for SoundStructure, BiAmp and ClearOne audio DSP systems, • Basic networking skills, • Manufacturer certifications a plus, • Familiarity with low-voltage disciplines (CCTV, Access Control, Network Cabling, etc.) a plus, • Have patience, determination, discipline and maturity to manage time and effectively handle stressful situations, should they arise, • Ability to understand and follow base building and electrical blueprints, • Must be a team player, have a professional demeanor with strong verbal communication skills, • Must have a desire to take ownership and responsibility for quality workmanship, • Must have a High School Diploma or GED (Technical Diploma, B.A. or A.A. a plus), • Be willing to work overtime evenings and weekends from time to time as necessary, • Physical requirements: ability to lift moderately heavy equipment, stand for extended periods of time, climb ladders, crawl under tables and have full hand dexterity to meet the physical demands of the position Compensation: • Competitive compensation, • Ongoing training, opportunity for industry certifications and further career development, • Additional compensation commensurate with experience Benefits: • 401k and Profit Sharing Plans, • Medical Insurance (Choice of In/Out Network or In Network Only Plans), • Paid Time Off (Holidays, Vacations, Sick and Personal Days)

Job DescriptionAbout the Company e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Keys Soulcare, a groundbreaking lifestyle beauty brand created with Alicia Keys, Naturium, high-performance, biocompatible, clinically-effective and accessible skin care, and our newest brand, rhode, a line of curated skincare essentials, formulated for a variety of skin types and needs with high performance ingredients, it’s a daily routine that nourishes your skin barrier over time. In our Fiscal year 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 28 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last six fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry. Visit our Career Page to learn more about our team: Position Summary: We are seeking a highly skilled Sr. Engineer, IT Security to lead enterprise-wide cybersecurity initiatives and strengthen our security posture across on-premises and cloud environments. This role involves designing and implementing advanced security solutions, including Zero Trust, DLP, Cloud Security, Network Segmentation, IAM, and Security Automation. The ideal candidate will collaborate with cross-functional teams to identify risks, develop mitigation strategies, ensure regulatory compliance, and proactively defend against evolving threats while safeguarding our systems, data, and infrastructure.Responsibilities: • Design, build, deploy, and maintain enterprise security technologies and solutions aligned with business objectives, compliance requirements, and the cybersecurity program., • Develop, document, and enforce security policies, standards, and procedures based on frameworks such as NIST, CIS, ISO 27001, and SOX while advancing overall security maturity, governance, and processes., • Lead strategic security initiatives, including Zero Trust architecture, Data Loss Prevention (DLP), Cloud Security, Network Segmentation, IAM, Endpoint Security modernization, and security automation., • Manage and improve email security, DNS security, and other protective controls to defend against phishing, malware, data exfiltration, and domain-based threats., • Lead vulnerability management programs and drive remediation efforts, providing visibility into risks and progress to stakeholders., • Oversee incident response lifecycle—detection, analysis, containment, remediation, post-incident review—and continuously enhance disaster recovery and business continuity plans., • Monitor and analyze security events and network activity (e.g., traffic analysis, host behavior, forensics, kill chain, Windows event analysis), tuning tools, and event correlation for accurate threat detection., • Collaborate with IT, DevOps, and digital teams to embed security into system design, application development, deployment pipelines, and cloud infrastructure., • Evaluate and review vendor and partner security practices to ensure alignment with organizational standards., • Produce regular security dashboards and metrics to report on incidents, threats, and operational effectiveness., • Lead security awareness training, mentor junior engineers, and guide cross-functional teams on secure design principles and best practices., • Stay current on emerging threats, vulnerabilities, and technologies to enhance enterprise resilience.Requirements:, • Bachelor’s degree in Computer Science, Cybersecurity, or related field; Master’s preferred., • 7+ years of experience in information security engineering, architecture, or operations., • Expertise in cloud security (AWS, Azure, GCP), data protection, IAM/SSO/MFA, email and DNS security, and secure network architecture., • Hands-on experience with key security technologies: firewalls, VPN, NAC, EDR/MDR, IPS/IDS, SIEM, DLP, vulnerability management, and email security platforms (Proofpoint, Mimecast, Microsoft 365 Defender)., • Strong understanding of Zero Trust, endpoint protection, DevSecOps, security automation, and scripting (Python, PowerShell, Bash)., • Proven ability to lead incident response, risk assessments, threat detection, and remediation efforts., • Experience implementing DNS protection solutions (Cisco Umbrella, Cloudflare, Infoblox, Valimail)., • Knowledge of security frameworks and compliance standards: NIST CSF, CIS Controls, ISO 27001, SOX., • Demonstrated success in leading security awareness programs, mentoring team members, and advancing security program maturity., • Relevant certifications preferred: CISSP, CISM, CISA, GIAC, Microsoft Security certifications, AWS Security Specialty, Azure Security Engineer Associate., • Strong communication, leadership, and ability to manage multiple security initiatives.Must Have:Strong Technical Security Foundation & Architecture, • Deep knowledge of network, cloud, and endpoint security., • Hands-on experience with firewalls, SIEM tools (e.g., Splunk, Sentinel), EDR/XDR, IAM, and vulnerability management., • Understanding of encryption, authentication, and secure architecture design.Incident Response & Threat Management Skills, • Ability to detect, analyze, and respond to security incidents effectively., • Skilled in log analysis, threat hunting, and forensics., • Familiarity with MITRE ATT&CK, common attack techniques, and SOC operations.Risk Assessment & Communication, • Strong ability to assess vulnerabilities, prioritize risks, and implement mitigations., • Can translate technical findings into business impact and communicate clearly with both technical and non-technical teams.

Job DescriptionAHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. The AHEAD Senior Specialty Solutions Engineer-Network, will be focused on the core tenets of Network and Network Security related solutions for AHEAD prospects and customers including a broad range of technologies. As a member of our Specialty Solutions Engineering team, you will be considered an organizational thought leader for this marketplace. Pre-sales experience is a key component of this role. You will work in partnership with multiple sales representatives to help build a cohesive account strategy for each existing and prospective client. As part of this strategy, you will help sales representatives identify potential technologies and vendors to partner within a given account and assist in driving this strategy throughout a given campaign. Time management and prioritization are essential attributes to being successful. Your goal is to evolve into the technical thought leader for each of your clients. In this capacity, you will work to define strategy, compare alternative approaches, and build key relationships, as well as size and configure products. Positioning and leveraging subject matter experts and inside consultants is a necessity to scale your effectiveness within accounts. AHEAD is actively recruiting for this role and is looking for candidates who consider themselves as a “Next Generation Network Architect.” A core tenet and base requirement for this position is deep understanding of Campus wired and wireless technologies. Understanding and mastery of other areas like Datacenter and cloud networking technologies are a plus. Outside of this core tenet, our expectation is to attract, recruit and attain resources who have a desire to focus not only on traditional on-premise solutions, but also to be looking to career, technology and skill advancement by being actively willing to demonstrate skills and ability to learn new technologies including multiple SDN solutions, network security, load balancing, edge / acceleration, and cloud technologies. Experience or eagerness to learn about and with network and system / access design with Amazon AWS, Microsoft Azure or other cloud services is a key requirement. Roles & Responsibilities: • Participation, Leadership and Coordination of the AHEAD virtual team for Network Infrastructure, • You will also be responsible for working with the AHEAD partner management team and directly with selected vendors to maintain vendor technical and sales relationships, • As a Network Specialist you are a thought leader within the Engineering organization, responsible for designing, architecting, and, at times, consulting for Ahead clients, • Your goal as a Network Lead should be to build skills, relationships, and industry credibility across many segments to drive product, services and consulting sales, • Support the sales teams during engagements by providing advice and solutions or proposals optimized to meet customer technical and business requirements, • Develops relationships with the account managers, partners and customers in support of sales team objectives and engages and leverages team specialist resources as appropriate, • Strategizes and executes technical sales calls, • Completes required pre-sales documentation (configurations, pricing, services, presentations, justifications etc.) quickly and accurately, • Qualifies sales opportunities in terms of customer technical requirements, decision making process and funding, • Presents and markets the design and value of proposed Ahead solutions and business justification to customers, prospects and Ahead management, • Participates in mentorship of entry-level team members, • Possesses strong, detailed product / technology / industry knowledge. Knowledge of job associated software and applications Base Skills:, • Network Infrastructure Experience, • Strong wireless skills (certifications highly looked upon), • Wireless principles/site survey/Ekahau knowledge), • Strong Campus/LAN skills (Cisco and other OEM vendors), • Cisco certifications are highly recommended, • Cisco Nexus Technologies, • IP Routing Protocols, • Cisco Core Datacenter Technologies, • Network Management, • Network Security (Palo Alto/Fortinet) tenants along with SASE knowledgeOther Skills:, • VMware / VMware NSX, • Arista, • Automation skillset, • F5 / NetScaler, • Amazon AWS, Azure, Cloud connectivity and network fundamentals Education & Experience:, • Bachelor’s degree in computer science, Engineering, or equivalent, • Pre Sales and Data Center experience is required, • Professional communication, presentation, analytical, and problem-solving skills., • Experience working as a technical lead in a pre-sale’s sales campaign, • Ability to work under critical conditions and influence others to achieve results, • Strong interpersonal skills with excellent presentation skills, • Must be independent, self-motivated, a self-starter and possess a good working attitude, • Able to work well within a team and partner environment, • Customer focused and results driven This role is located on the east coast...preferably in the NY Metro area. The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location. Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. USA Employment Benefits include: - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits for additional details. Use of AI:We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at . You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out.