Engineering Associate jobs at Port Authority of New York and New Jersey

**About the Internship** The Port of New York and New jersey is the gateway to one of the most concentrated consumer markets in North America and the largest port on the East Coast. Through its network of terminals, railroads, roads, warehouses, and distribution centers, the Port Authority keeps the world's global trade industry moving. The Physical Plant unit at New Jersey Marine Terminal (NJMT) is equipped with skilled personnel dedicated to ensuring optimal operability and maintenance of Port assets. **Responsibilities** + Assist the Facility Engineers in addressing day-to-day technical issues and concerns that impact tenants and/or facility operations. + Assist in reviewing Engineering drawings and documentation to incorporate facility's comments. + Attend meetings and inspections for facility projects. + Assist the Facility Engineer in project development and design. + Assist in gathering data related to facility environmental, operations, and asset management.Update the databases using excel, ArcGIS, Maximo, and/or relevant programs. + Lead meetings with Facility Managers, gather information regarding critical business functions, systems, and vendors and gain an understanding of potential business continuity + Assist in preparation of presentation or white paper report for special projects assigned. + Conduct site visits to collect project data and prepare status reports on investigations and complete work. + Present a report on work that was completed during the internship. + Interns may be given immediate, short-term assignments based on operational needs at the port. **Minimum Qualifications** + Enrollment at a college or university at the time of the internship + Major in Civil, Mechanical, or other engineering related majors or related discipline + Must be able to drive and possess a valid driver's license **Desired Qualifications** + Good written and verbal communication skills. + Excellent problem solving and analytical skills. + Open-minded and able to work with a team + Able to operate Microsoft Office tools such as Outlook, Word, Power Point and Excel + Other computer skills: AutoCAD, ArcGIS. **Internship Details** + The start date will be Thursday, May 28, 2026 + The internship will last approximately 12 weeks, ending on Friday, August 21, 2026 + This is a full-time internship (5 days per week at 7.25 hours per day) + In accordance with Port Authority policy, this position permits interns to work remotely a maximum of one day per week. In person collaboration is essential to how the Port Authority conducts business and regular in-office days or team collaboration days may be required depending on business needs. Some internships may require interns to be fully in-person. **Selection Process** + Only applicants under consideration will be contacted + If selected to move forward, the hiring team will reach out directly to schedule 1-2 interviews + Different internships will have different timelines for interviews **Compensation & Benefits** + The hourly rate range is $18.07 to $30.31 (the exact rate will be determined by internship type and rising school year) + Ability to opt in to the New York State and Local Retirement System + Access to Employee Business Resource Groups (************************************************************************ + Facility Tours + Career Panels + Social/Networking Events REQNUMBER: 63903

located in Cortland, NY. The Engineer, Network is responsible for the implementation and support of network infrastructure, including LAN, WAN, WLAN and SDWAN to support critical healthcare operations across The Guthrie Clinic (TGC). This role ensures high availability and performance for clinical systems, patient care services, and administrative functions across the hospital network. The Engineer collaborates with IT teams, vendors, and hospital stakeholders to align network solutions with organizational goals and regulatory requirements. This position will be a technology advocate throughout the organization for the effective application of technology to meet business needs and to support business changes and growth. Technology functions include network infrastructure, architecture and protocols (routers, switches, wireless controllers, access points, firewalls, network appliances), network automation and operations, patch management, application delivery, monitoring and cloud computing. Experience: Preferred three to five (3 to 5) years of experience in implementing and managing complex network infrastructure in an enterprise environment; healthcare experience preferred. Highly experienced information systems professional with a strong technical background and proven track record of accomplishments in a large, complex multi-level organization. Experience in network protocols (e.g., TCP/IP, BGP, OSPF, MPLS) and technologies (e.g., Cisco, Extreme, Palo Alto). Proficiency in network security tools (e.g., firewalls, IDS/IPS, NAC). Knowledge of software-defined networking (SDN) and cloud-based network solutions (e.g., AWS, Azure). Knowledge of Azure networking services (e.g., MS Azure VNET, ExpressRoute, vWAN, etc.) Proficient with monitoring and logging tools for access management and troubleshooting using such tools as Syslog, ACS, Netflow, Solarwinds and protocol analyzers. Knowledge of network security and encryption standards. Intermediate troubleshooting skills. Ability to work with network security devices such as Palo Alto, Cisco ASA. Experience with ITSM functionalities such as change control, CMDB and ticketing systems. Strong knowledge of healthcare information systems (e.g., Epic, Cerner), cybersecurity and clinical operations. Prior experience delivering high availability systems in a 24/7 environment across geographically dispersed business units. Demonstrated ability to facilitate evaluation of technologies and achieve consensus on technical standards and solutions among a diverse group of information technology professionals. Demonstrated commitment to customer service who has provided responsive and effective support, developed solid working relationships with customers, and delivered high quality, value-added services that met/exceeded customer expectations. Equally adept at developing technology strategies and the operation of existing technical infrastructures. Significant experience and knowledge of computing architecture and implementation of networked computing structures. Polished professional with demonstrated information technology experience and strong communication skills that can rapidly gain and maintain credibility with customers and IT colleagues. Education: Bachelor's degree in Information Technology, Computer Science, Healthcare Administration or related field strongly desired or an equivalent combination of education and experience. Licenses/Certifications: Preferred certifications include CCNA Essential Functions: Responsible for installation and maintenance of network devices Monitors functions of network devices to ensure acceptable performance Creates and maintains documentation related to network configuration and network topologies Serves as subject matter expert across network technologies and solutions supporting LAN, WAN, WLAN and SDWAN Troubleshoots and resolves LAN, WAN, WLAN and SDWAN incidents. Provide level 2 escalation support and troubleshooting to resolve complex network incidents and tasks. Anticipates and provides solutions for complex problems and issues, recommends upgrades and enhancements. Rapidly absorbs complex technical and conceptual information to identify issues and implications. Able to present understandable alternatives to both technical and non-technical individuals at all levels of the organization Monitors industry trends, maintains knowledge of developments in network infrastructure, architecture and protocols, network automation and operations, patch management, application delivery, monitoring and cloud computing. Maintain current working knowledge of IT best practices and innovative solutions within both healthcare and industry. Identifies leading edge technologies for potential early adoption that will result in service differentiation and create competitive advantage. Collaborates with other TGC IT departments, TGC management and business leaders assisting in the evaluation and validation of emerging technologies. Identifies strategies to mitigate risk associated with leading edge technologies Promotes the use of TGC's PMO methodology and standards to manage IT initiatives Demonstrates commitment to customer service by providing responsive and effective support, developing solid working relationships with customers and IT colleagues, and delivering high quality, value-added services that exceed customer expectations. Demonstrates a commitment to excellence in Customer Service with all internal and external customers of TGC Willingness to travel between sites in the TGC Pennsylvania/New York regional footprint (Sayre, Towanda, Troy, Corning, Cortland, Binghamton, etc.) Performs related duties as assigned and unrelated duties as requested Other Duties: Other duties as assigned Pay Range: Minimum $41.40/hr, Maximum $64.61/hr About Us Joining the Guthrie team allows you to become a part of a tradition of excellence in health care. In all areas and at all levels of Guthrie, you'll find staff members who have committed themselves to serving the community. The Guthrie Clinic is an Equal Opportunity Employer. The Guthrie Clinic is a non-profit, integrated, practicing physician-led organization in the Twin Tiers of New York and Pennsylvania. Our multi-specialty group practice of more than 500 physicians and 302 advanced practice providers offers 47 specialties through a regional office network providing primary and specialty care in 22 communities. Guthrie Medical Education Programs include General Surgery, Internal Medicine, Emergency Medicine, Family Medicine, Anesthesiology and Orthopedic Surgery Residency, as well as Cardiovascular, Gastroenterology and Pulmonary Critical Care Fellowship programs. Guthrie is also a clinical campus for the Geisinger Commonwealth School of Medicine.

located in Binghamton, NY. The Engineer, Network is responsible for the implementation and support of network infrastructure, including LAN, WAN, WLAN and SDWAN to support critical healthcare operations across The Guthrie Clinic (TGC). This role ensures high availability and performance for clinical systems, patient care services, and administrative functions across the hospital network. The Engineer collaborates with IT teams, vendors, and hospital stakeholders to align network solutions with organizational goals and regulatory requirements. This position will be a technology advocate throughout the organization for the effective application of technology to meet business needs and to support business changes and growth. Technology functions include network infrastructure, architecture and protocols (routers, switches, wireless controllers, access points, firewalls, network appliances), network automation and operations, patch management, application delivery, monitoring and cloud computing. Experience: Preferred three to five (3 to 5) years of experience in implementing and managing complex network infrastructure in an enterprise environment; healthcare experience preferred. Highly experienced information systems professional with a strong technical background and proven track record of accomplishments in a large, complex multi-level organization. Experience in network protocols (e.g., TCP/IP, BGP, OSPF, MPLS) and technologies (e.g., Cisco, Extreme, Palo Alto). Proficiency in network security tools (e.g., firewalls, IDS/IPS, NAC). Knowledge of software-defined networking (SDN) and cloud-based network solutions (e.g., AWS, Azure). Knowledge of Azure networking services (e.g., MS Azure VNET, ExpressRoute, vWAN, etc.) Proficient with monitoring and logging tools for access management and troubleshooting using such tools as Syslog, ACS, Netflow, Solarwinds and protocol analyzers. Knowledge of network security and encryption standards. Intermediate troubleshooting skills. Ability to work with network security devices such as Palo Alto, Cisco ASA. Experience with ITSM functionalities such as change control, CMDB and ticketing systems. Strong knowledge of healthcare information systems (e.g., Epic, Cerner), cybersecurity and clinical operations. Prior experience delivering high availability systems in a 24/7 environment across geographically dispersed business units. Demonstrated ability to facilitate evaluation of technologies and achieve consensus on technical standards and solutions among a diverse group of information technology professionals. Demonstrated commitment to customer service who has provided responsive and effective support, developed solid working relationships with customers, and delivered high quality, value-added services that met/exceeded customer expectations. Equally adept at developing technology strategies and the operation of existing technical infrastructures. Significant experience and knowledge of computing architecture and implementation of networked computing structures. Polished professional with demonstrated information technology experience and strong communication skills that can rapidly gain and maintain credibility with customers and IT colleagues. Education: Bachelor's degree in Information Technology, Computer Science, Healthcare Administration or related field strongly desired or an equivalent combination of education and experience. Licenses/Certifications: Preferred certifications include CCNA Essential Functions: Responsible for installation and maintenance of network devices. Monitors functions of network devices to ensure acceptable performance. Creates and maintains documentation related to network configuration and network topologies. Serves as subject matter expert across network technologies and solutions supporting LAN, WAN, WLAN and SDWAN. Troubleshoots and resolves LAN, WAN, WLAN and SDWAN incidents. Provide level 2 escalation support and troubleshooting to resolve complex network incidents and tasks. Anticipates and provides solutions for complex problems and issues, recommends upgrades and enhancements. Rapidly absorbs complex technical and conceptual information to identify issues and implications. Able to present understandable alternatives to both technical and non-technical individuals at all levels of the organization. Monitors industry trends, maintains knowledge of developments in network infrastructure, architecture and protocols, network automation and operations, patch management, application delivery, monitoring and cloud computing. Maintain current working knowledge of IT best practices and innovative solutions within both healthcare and industry. Identifies leading edge technologies for potential early adoption that will result in service differentiation and create competitive advantage. Collaborates with other TGC IT departments, TGC management and business leaders assisting in the evaluation and validation of emerging technologies. Identifies strategies to mitigate risk associated with leading edge technologies. Promotes the use of TGC's PMO methodology and standards to manage IT initiatives. Demonstrates commitment to customer service by providing responsive and effective support, developing solid working relationships with customers and IT colleagues, and delivering high quality, value-added services that exceed customer expectations. Demonstrates a commitment to excellence in Customer Service with all internal and external customers of TGC. Willingness to travel between sites in the TGC Pennsylvania/New York regional footprint (Sayre, Towanda, Troy, Corning, Cortland, Binghamton, etc.) Performs related duties as assigned and unrelated duties as requested. Other Duties: Other duties as assigned Pay Range: Minimum $41.40/hr, Maximum $64.61/hr About Us Joining the Guthrie team allows you to become a part of a tradition of excellence in health care. In all areas and at all levels of Guthrie, you'll find staff members who have committed themselves to serving the community. The Guthrie Clinic is an Equal Opportunity Employer. The Guthrie Clinic is a non-profit, integrated, practicing physician-led organization in the Twin Tiers of New York and Pennsylvania. Our multi-specialty group practice of more than 500 physicians and 302 advanced practice providers offers 47 specialties through a regional office network providing primary and specialty care in 22 communities. Guthrie Medical Education Programs include General Surgery, Internal Medicine, Emergency Medicine, Family Medicine, Anesthesiology and Orthopedic Surgery Residency, as well as Cardiovascular, Gastroenterology and Pulmonary Critical Care Fellowship programs. Guthrie is also a clinical campus for the Geisinger Commonwealth School of Medicine.

Program Timeframe: Mid-May through mid-August Join GFT, an award-winning architecture, engineering, and construction firm, as a Water Engineering Intern and gain real-world experience in a dynamic environment. Our inclusive environment will fuel your innovation and imagination while fostering a sense of belonging. Joining the water team at GFT means contributing to innovative solutions for sustainable water management and infrastructure. Our team excels in dams and levees, advanced water and wastewater treatment, stormwater management, and conveyance, collection, and transmission. With a focus on integrating technology, sustainability, and compliance, we consider each water resources and environmental remediation project a chance to innovate and evolve to protect public health and enhance quality of life. Explore some of our signature water resources and environmental projects here. What you'll be challenged to do: During your internship, you will work on a highly functioning team and aid in providing design services for a wide variety of projects. You'll receive guidance, supervision and mentorship by experienced engineers and professionals with your success as the goal. The majority of our interns convert to full-time employees. In this capacity, the successful candidate will be responsible for the following: Support real client projects by participating in the planning, design, and construction administration of water, wastewater, and municipal infrastructure projects. Assist with site visits, surveys, inspections, and data collection for utility infrastructure projects. Support preparation of reports, design plans, specifications, and cost estimates. Assist in reviewing subdivision, land development, grading, and zoning plans, including stormwater management and erosion control. Aid in preparing permit applications for federal, state, and local agencies. What you'll bring to our firm: Enrolled in an ABET-accredited undergraduate or graduate program in Civil, Mechanical, or Environmental Engineering. Demonstrated interested in water/wastewater engineering through prior internships, work experiences, or applied academic coursework. Strong written and verbal communication skills. Ability to work in the field and contribute to project teams. Proficiency in AutoCAD and Microsoft Office Suite. What we prefer you bring: Familiarity with BIM, Civil 3D, GIS, hydraulic/hydrologic modeling, and other specialty engineering software. Experience with municipal and private utilities is a plus. Compensation:The salary range for this role is $20.00 - $28.00 per hour. Salary is dependent upon experience and geographic location. Featured Benefits: • Hybrid (in-person and remote) work environment.• Comprehensive benefits package including wellness programs, parental leave, and pet insurance, in addition to medical, dental, vision, disability, and life insurance.• Tax-deferred 401(k) savings plan.• Competitive paid-time-off (PTO) accrual.• Tuition reimbursement for continued education.• Commitment to professional development, access to internal and external training programs, and support of active participation in professional organizations• Incentive compensation for eligible positions. At GFT, a privately held AEC firm, we innovate where transportation, water, power, and buildings converge. We call this the Infrastructure of Life. We measure our success by the strength of our relationships - that's why we're the employer of choice for 5,000+ of the industry's brightest engineers, planners, architects, inspectors, designers, and more. Our clients choose us for our expertise and prefer us for our nimble approach, creativity, and personal touch. Backed by over a century's experience, together we're building a lasting legacy for future generations: stronger communities, a healthier planet, and better lives. GFT: Ingenuity That Shapes Lives™ is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veterans' status or other characteristics protected by law. Unsolicited resumes from third party agencies will be considered the property GFT. Location: Woodbury NY Core Business Hours: 8:00 AM - 5:00 PM Employment Status: Hourly Salary Range: $20.00-$28.00 per hour Salary dependent upon experience and geographic location GFT does require the successful completion of a criminal background check for all advertised positions. "California Applicants" Applicants in the County of Los Angeles - Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in the City of San Francisco - Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Applicants in the State of California - Qualified applications with arrest or conviction records will be considered for employment in accordance with the California Fair Chance Act. #LI-Hybrid #LI-ML2

The Architect, Cloud Computing/System Engineering is responsible for the design, implementation and support of cloud-based infrastructure, including public, private and hybrid cloud deployment models along with IaaS, PaaS and SaaS service models to support critical healthcare operations across The Guthrie Clinic (TGC). This role ensures high availability and performance for clinical systems, patient care services, and administrative functions across the network. The Architect collaborates with IT teams, vendors, and hospital stakeholders to align cloud solutions with organizational goals and regulatory requirements. This position will be a technology advocate throughout the organization for the effective application of technology to meet business needs and to support business changes and growth. Technology functions include cloud computing, database, storage, data protection, virtualization, hyperconverged infrastructure, server automation, monitoring and application delivery. Experience: Preferred seven to ten (7 to 10) years of experience in implementing and managing hybrid cloud solutions in an enterprise environment; healthcare experience preferred. Highly experienced information systems professional with a strong technical background and proven track record of accomplishments in a large, complex multi-level organization. Expertise in cloud platforms (e.g., AWS, Azure, Google Cloud) and services (e.g., EC2, S3, Azure Virtual Machines). Proficiency in infrastructure-as-code (e.g., Terraform, CloudFormation) and containerization (e.g., Docker, Kubernetes). Experience with cloud security tools (e.g., IAM, Key Management Service, Security Groups). Familiarity with virtual networking concepts, cloud load balancers and content delivery networks. Well versed in scripting (PowerShell, Python, Bash, etc.) Understanding of cloud governance and compliance requirements. Experience with storage and data protection replication methodologies. Experience with ITSM functionalities such as change control, CMDB and ticketing systems. Strong knowledge of healthcare information systems (e.g., Epic, Cerner), cybersecurity and clinical operations. Prior experience delivering high availability systems in a 24/7 environment across geographically dispersed business units. Demonstrated ability to facilitate evaluation of technologies and achieve consensus on technical standards and solutions among a diverse group of information technology professionals. Demonstrated commitment to customer service who has provided responsive and effective support, developed solid working relationships with customers, and delivered high quality, value-added services that met/exceeded customer expectations. Equally adept at developing technology strategies and the operation of existing technical infrastructures. Significant experience and knowledge of computing architecture and implementation of networked computing structures. Polished professional with demonstrated information technology experience and strong communication skills that can rapidly gain and maintain credibility with customers and IT colleagues. Education: Bachelor's degree in Information Technology, Computer Science, Healthcare Administration or related field strongly desired or an equivalent combination of education and experience. Licenses/Certifications: Preferred certifications include Microsoft Certified: Azure Solutions Architect Expert, CCSP Essential Functions: Provides architectural expertise for the overall cloud infrastructure. Designs and implements long-term strategic goals and short-term tactical plans for managing and maintaining the cloud infrastructure. Stay current on cloud and systems engineering trends (e.g., serverless computing, containerization, AI-driven automation) and evaluate their potential to enhance hospital operations. Design and organize cloud systems, including servers, storage and network infrastructure. Serves as subject matter expert across cloud service models (IaaS, PaaS, SaaS). Leads TGC though cloud adoption and established best practices for cloud usage. Design and deploy infrastructure as a code using tools like Terraform, Azure Resource Manager templates and PowerShell. Ensure systems, applications and data are high availability, backed up and/or replicated to meet disaster and business recovery requirements. Implement and enforce security requirements to protect Azure-based systems and data. Defines and maintains Azure Governance policies including Subscription Management, Resource Consistency, Identity Baseline, etc. Establishes and manages standards and architecture policies and procedures. Mentors team members designing and building technical solutions. Perform a lead role in the development of a broad TGC cloud computing strategy. Anticipates and provides solutions for complex problems and issues, recommends upgrades and enhancements. Rapidly absorbs complex technical and conceptual information to identify issues and implications. Able to present understandable alternatives to both technical and non-technical individuals at all levels of the organization. Monitors industry trends, maintains knowledge of developments in cloud computing, database, storage, data protection, virtualization, hyperconverged infrastructure, server automation, monitoring and application delivery. Promotes the use of TGC's PMO methodology and standards to manage IT initiatives. Demonstrates commitment to customer service by providing responsive and effective support, developing solid working relationships with customers and IT colleagues, and delivering high quality, value-added services that exceed customer expectations. Demonstrates a commitment to excellence in Customer Service with all internal and external customers of TGC. Performs related duties as assigned and unrelated duties as requested.

As a Research Engineer, you will play a pivotal role in building scalable research platforms to be used across multiple asset classes and trading strategies. You'll collaborate with quantitative traders and researchers to evaluate and implement new research ideas and approaches across the organization. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement. Your Core Responsibilities: Develop high-throughput, scalable research platforms, with a focus on the interaction between data, ML pipelines and back testing Contribute to the development and deployment of deep learning models into production Guide tooling to facilitate unconstrained experimentation at a large scale; generalize tooling across asset classes, horizons and trading strategies Collaborate with quantitative researchers and traders to investigate and evaluate research ideas and to develop scientific libraries to share findings Evaluate and roll out third-party tooling (e.g., MLflow; Neptune; Ray); lead implementation and optimization of our research tools Create efficient processes for reproducible research Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions Your Skills & Experience: 5+ years of experience in designing research platforms in trading environments Previous experience working with ML methodologies and frameworks such as LLMs, Deep Learning, Neural Networks, etc. Software development experience in C++ or Java + proficiency in Python Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX Hands-on experience with ML pipelines in high-performance (real-time, low latency) environments is a strong plus #LI-DNP The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information. Salary Range$175,000-$250,000 USD About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

**About the Internship** The John F. Kennedy (JFK) Redevelopment Program is delivering a world-class airport designed to meet the region's future demand, with JFK projected to serve up to 100 million passengers annually by 2050. This $19 billion program encompasses the planning, design, financing, and construction of modernized terminals, airside and landside infrastructure, utilities, roadways, bridges, parking, the AirTrain system, cargo facilities, and airport fueling systems. Engineering Aid interns will support this complex, multi-stakeholder program by gaining exposure to airport infrastructure development, data analysis, and coordination across technical and community-focused teams. This internship offers a unique opportunity to learn how large-scale transportation infrastructure projects are planned and delivered through both traditional and innovative procurement methods. **Responsibilities** + Review designs for consistency with Requirements for Performance of Work (RPW) + Review Operational Readiness Activation and Transition (ORAT) plans + Support the Redevelopment team with implementation and tracking of ongoing progress **Minimum Qualifications** + Enrollment at a college or university at the time of the internship + Majors in Engineering, Construction, Aviation, or a related discipline **Desired Qualifications** + Rising sophomore, junior or senior + Ability to conduct research, review documentation, and prepare clear summary reports + Strong organizational skills with attention to detail and the ability to manage multiple tasks + Proficiency in Microsoft Office applications including Word, Excel, and PowerPoint + Self-motivated, reliable, and able to work effectively both independently and as part of a team + Interest in major infrastructure or redevelopment programs + Excellent written, verbal, and interpersonal communication skills **Internship Details** + The start date will be Thursday, May 28, 2026 + The internship will last approximately 12 weeks, ending on Friday, August 21, 2026 + This is a full-time internship (5 days per week at 7.25 hours per day) + In accordance with Port Authority policy, this position permits interns to work remotely a maximum of one day per week. In person collaboration is essential to how the Port Authority conducts business and regular in-office days or team collaboration days may be required depending on business needs. Some internships may require interns to be fully in-person. **Selection Process** + Only applicants under consideration will be contacted + If selected to move forward, the hiring team will reach out directly to schedule 1-2 interviews + Different internships will have different timelines for interviews **Compensation & Benefits** + The hourly rate range is $18.07 to $30.31 (the exact rate will be determined by internship type and rising school year) + Ability to opt in to the New York State and Local Retirement System · Access to Employee Business Resource Groups + Facility Tours + Career Panels + Social/Networking Events REQNUMBER: 63993

**About the Internship** Newark Redevelopment is responsible for the planning and delivery of the capital projects at Newark Liberty International Airport (EWR). As part of this internship, the selected candidate will have first-hand exposure in the planning and execution of several projects. Additionally, the selected candidate will have an opportunity to be involved in critical aspects of project delivery, including but not limited to: third-party coordination with internal and external stakeholders, community outreach, and coordination with Construction Management Divisions (CMD) **Responsibilities:** + Engineering, planning, and monitoring of design and/or construction activities. + Provide support for the project through preparation of PowerPoint presentations, spreadsheets, reports, and other briefing materials. + Assist project controls staff with program documents. + Assist and support the monitoring of project activities producing status reports as required. + Support staff in tracking the approval process of procurement documents. + Attend project meetings as directed by staff. + Coordinate with third-party agencies to facilitate the construction for related EWR Redevelopment projects (ex. Amtrak, Conrail, NJ Transit, NJ Department of Transportation, City of Newark) + Oversight on AirTrain EWR Replacement Program and Station Access Project calendar milestones. + Develop and update project coordination schedules as appropriate. + Develop tracking charts for coordination, design and construction activities. + Shadow staff as requested at site visits and inspections. + Take meeting notes and produce professional site visit reports. + Research, learn and present Port Authority approved software that can be beneficial to the program. + Present a summary of the internship activities and/or assigned project at the end of the internship program. **Minimum Qualifications:** + Enrollment at a college or university at the time of the internship + Major in Engineering (Civil, Traffic, Structural, or a related discipline) **Desired Qualifications** + Experience using Microsoft Office (Word, PowerPoint, Excel, Outlook) + Ability to read and analyze complex engineering tools as needed **Internship Details** + The start date will be Thursday, May 28, 2026 + The internship will last approximately 12 weeks, ending on Friday, August 21, 2026 + This is a full-time internship (5 days per week at 7.25 hours per day) + In accordance with Port Authority policy, this position permits interns to work remotely a maximum of one day per week. In person collaboration is essential to how the Port Authority conducts business and regular in-office days or team collaboration days may be required depending on business needs. Some internships may require interns to be fully in-person. **Selection Process** + Only applicants under consideration will be contacted + If selected to move forward, the hiring team will reach out directly to schedule 1-2 interviews + Different internships will have different timelines for interviews **Compensation & Benefits** + The hourly rate range is $18.07 to $30.31 (the exact rate will be determined by internship type and rising school year) + Ability to opt in to the New York State and Local Retirement System + Access to Employee Business Resource Groups (************************************************************************ + Facility Tours + Career Panels + Social/Networking Events REQNUMBER: 63868

Our mission at Duolingo is to develop the best education in the world and make it universally available. But we've got more left to do - and that's where you come in! Duolingo is the world's most popular learning app. Beyond our core learning product, we also offer English proficiency testing with the Duolingo English Test, and are bringing new subjects into the Duolingo app, where people can develop their Math and Music skills. We are passionate about educating our users, making fact-based decisions, and finding innovative solutions to complex problems. We offer meaningful work, limitless learning opportunities, and collaboration with world-class minds. Come brighten your life and over half a billion more! What you'll do... Solve our most ambitious problems with the right tool for the task Collaborate cross-functionally to bring your ideas to life in the product Identify problems, prototype solutions, evaluate their return on investment, and then implement the best solution at scale to improve the lives of our millions of learners each day Share your findings both within Duolingo as well as to the broader research community What we're looking for… You have an Ph.D. in computer science or related technical field (or expect to by August 2026) A portfolio of impactful work, in the form of (for example) publications, open-source projects, or AI internships Ability to relocate to Pittsburgh, PA or New York, NY A creative, interdisciplinary, and entrepreneurial approach to R&D Strong debugging and critical thinking skills Why you'll love working here… Language learning opportunities Catered in-house lunches and breakfast Company-wide Hackathon PTO and company holidays Frequent company-wide dinners, monthly celebrations, social clubs, and so much more! We post a multi-level salary range for all of our roles. This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity. Salary Range: $131,800-$178,300 USD Take a peek at how we care for our employees' holistic well-being with our benefits here. We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com. Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice. Sign up for job alerts here.

Our mission at Duolingo is to develop the best education in the world and make it universally available. But we've got more left to do - and that's where you come in! Duolingo is the world's most popular learning app. Beyond our core learning product, we also offer English proficiency testing with the Duolingo English Test, and are bringing new subjects into the Duolingo app, where people can develop their Math and Music skills. We are passionate about educating our users, making fact-based decisions, and finding innovative solutions to complex problems. We offer meaningful work, limitless learning opportunities, and collaboration with world-class minds. Come brighten your life and over half a billion more! What you'll do... Solve our most ambitious problems with the right tool for the task Collaborate cross-functionally to bring your ideas to life in the product Identify problems, prototype solutions, evaluate their return on investment, and then implement the best solution at scale to improve the lives of our millions of learners each day Share your findings both within Duolingo as well as to the broader research community What we're looking for… You have an Ph.D. in computer science or related technical field (or expect to by August 2026) A portfolio of impactful work, in the form of (for example) publications, open-source projects, or AI internships Ability to relocate to Pittsburgh, PA or New York, NY A creative, interdisciplinary, and entrepreneurial approach to R&D Strong debugging and critical thinking skills Why you'll love working here… Language learning opportunities Catered in-house lunches and breakfast Company-wide Hackathon PTO and company holidays Frequent company-wide dinners, monthly celebrations, social clubs, and so much more! We post a multi-level salary range for all of our roles. This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity. Salary Range: $131,800-$178,300 USD Take a peek at how we care for our employees' holistic well-being with our benefits here. We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com. Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice. Sign up for job alerts here.

**About the Internship** The Materials Engineering Unit is looking for field inspection and laboratory testing interns to join their team! The Materials Engineering Unit (MEU) is primarily responsible for providing quality acceptance inspection and testing of structural steel, welding, bolting, concrete, asphalt, masonry, reinforcement, soils, fireproofing, firestopping, coatings and chemical/environmental sampling, testing and analysis. We also perform laboratory testing and all of our laboratories are accredited by the American Association of State Highway and Transportation Officials (AASHTO) since 1997. MEU also has a condition surveys group that provides reports regarding existing conditions of asphalt, concrete, steel, and other materials at the request of our Design Division and/or Line Departments that aid in the design phase of contract development. Soil borings are also part of MEU's scope of work when existing soil conditions are requested by our Geotechnical designers. New materials are tested to verify physical properties and examine their behavior under different exposure conditions to determine if they meet our specifications for various applications. This hands-on experience proves very useful in supplementing classroom studies and limited laboratory experience at college. It also provides an understanding of how structures and pavements are built and the importance of the properties we test for producing high quality infrastructure. Interns will learn where, what, why, when and how we test and inspect heavy construction materials. **Responsibilities** + Field inspections and testing (under the supervision and guidance of subject matter experts and/or an experienced inspector) of concrete, asphalt, soils, structural steel welding and bolting in accordance with AASHTO and ASTM standards and applicable codes, preparing daily narratives, coordination with Contractors, reviewing contract drawings and specifications. + This work can be at any of the facilities that the Port Authority operates and maintains including bridges, tunnels, airports, ports, bus terminal, PATH commuter train and the World Trade Center site. + Some major projects we anticipate to be active during the summer of 2026 include JFK Int'l Airport Redevelopment roadways, parking garage and terminals, George Washington Bridge "Restore the George" program, the new AirTrain project at Newark Liberty Int'l Airport, restoring berths and roadways at Port Newark and Port Elizabeth, and the new Port Authority Bus Terminal. + Laboratory testing (under the supervision and guidance of a subject matter expert and/or an experienced laboratory technician) of concrete, asphalt and soils used on Port Authority construction projects in accordance with AASHTO and ASTM standards + Following on-site safety guidelines and best Materials Engineering practices. + Gain a better understanding of materials and how they perform and behave under various exposure conditions. **Minimum Qualifications** + Enrollment at a college or university at the time of the internship + Major in Engineering (Materials, Civil, Structural, Geotechnical, Construction Management, Environmental, or related discipline) + Possess a valid driver's license. **Desired Qualifications** + Experience with Microsoft apps such as Word, Excel, PowerPoint, Outlook, Teams, SharePoint, OneDrive, etc. + Excellent written and oral communication skills + Interest in contributing to the success of the New York and New Jersey region + Interest in public service and/or transportation + Willingness to learn **Internship Details** + The start date will be Thursday, May 28, 2026 + The internship will last approximately 12 weeks, ending on Friday, August 21, 2026 + This is a full-time internship (5 days per week at 7.25 hours per day) + The internship requires interns to be fully in-person. **Selection Process** + Only applicants under consideration will be contacted + If selected to move forward, the hiring team will reach out directly to schedule 1-2 interviews + Different internships will have different timelines for interviews **Compensation & Benefits** + The hourly rate range is $18.07 to $30.31 (the exact rate will be determined by internship type and rising school year) + Ability to opt in to the New York State and Local Retirement System + Access to Employee Business Resource Groups (************************************************************************ + Facility Tours + Career Panels + Social/Networking Events REQNUMBER: 63920

**About the Internship:** The first Hudson River vehicular tunnel was opened in 1927. It was considered an outstanding engineering achievement, whose principles are employed to this day. The Holland Tunnel was designated a National Historic Civil and Mechanical Engineering Landmark in 1984 by the American Society of Civil and Mechanical Engineers. In 1993, the tunnel was designated a National Historic Landmark by the U.S. Department of Interior. **Responsibilities** + Review drawings + Assist with all tours of facility buildings + Visit job sites. + Attend meetings, prepare memoranda, gather information + Assist the Physical Plant Manager, Operations Manager, and/or the Senior Business Manager with all ongoing and planned construction activity, operational activities, and/or Administrative Unit projects at the Holland Tunnel. + Assist with overseeing and coordinating various Holland Tunnel Facility projects. + Take notes for meetings + Coordinate with other departments/units **Minimum Qualifications** + Enrollment at a college or university at the time of the internship + Major in Engineering + Valid driver's license **Desired Qualifications** + Proficient with Microsoft Office + Excellent written and oral communication skills + Interest in contributing to the success of the New York and New Jersey region. + Interest in public service and/or transportation + Willingness to learn **Internship Details** + The start date will be Thursday, May 28, 2026 + The internship will last approximately 12 weeks, ending on Friday, August 21, 2026 + This is a full-time internship (5 days per week at 7.25 hours per day) + The format is expected to be fully in-person **Selection Process** + Only applicants under consideration will be contacted + If selected to move forward, the hiring team will reach out directly to schedule 1-2 interviews + Different internships will have different timelines for interviews **Compensation & Benefits** + The hourly rate range is $18.07 to $30.31 (the exact rate will be determined by internship type and rising school year) + Ability to opt in to the New York State and Local Retirement System + Access to Employee Business Resource Groups (************************************************************************ + Facility Tours + Career Panels + Social/Networking Events REQNUMBER: 63917

Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale's ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! You will: Build, profile and optimize our training and inference framework Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation Research and integrate state-of-the-art technologies to optimize our ML system Ideally you'd have: Strong excitement about system optimization Experience with multi-node LLM training and inference Experience with developing large-scale distributed ML systems Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. Strong written and verbal communication skills and the ability to operate in a cross functional team environment Nice to haves: Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. 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: $200,800 - $251,000 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 accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our for additional information.

Performs data center and office cabling to support infrastructure changes Experience in Extending Dmarc from the LEC hand off to Customer server room. Experience with Installing 66 blocks and 110 blocks Experience with Installing Patch Panels Experience with physical Installation Wireless AP's. To apply for this job signup field engineer marketplace from the below link and apply: **************************************************** Additional Information Field Engineer Inc. 77 Water Street Suite 7000 New York, NY 10005 The United States of America ****************************** Support Center: Field Engineer Global Team

Field Engineer is an online marketplace that connects companies with telecommunications work with the global field engineers who have the skills and availability to complete them. Job Description Performs data center and office cabling to support infrastructure changes Experience in Extending Dmarc from the LEC hand off to Customer server room. Experience with Installing 66 blocks and 110 blocks Experience with Installing Patch Panels Experience with physical Installation Wireless AP's. To apply for this job signup field engineer marketplace from the below link and apply: **************************************************** Additional Information Field Engineer Inc. 77 Water Street Suite 7000 New York, NY 10005 The United States of America ****************************** Support Center: Field Engineer Global Team

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 AI 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 ML Researcher, you'll work with clients to train ML models to satisfy their business needs. Your work will range from training next-generation AI cybersecurity firewall LLMs to training foundation genomic models making predictions about life-saving drug proteins. Having a deep curiosity about the hardest questions about LLMs will also motivate various research opportunities on how to apply ML to the forefront of enterprise data. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers. Work with product and research teams to identify opportunities for ongoing and upcoming services. Explore approaches that integrate human feedback and assisted evaluation into existing product lines. Create state of the art techniques to integrate tool-calling into production-serving LLMs. Ideally you'd have: At least 1-3 years of model training, deployment and maintenance experience in a production environment Strong skills in NLP, LLMs and deep learning Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment PhD or Masters in Computer Science or a related field Nice to haves: Experience in dealing with large scale AI problems, ideally in the generative-AI field Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc. Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc. Strong written and verbal communication skills to operate in a cross functional team environment 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: $176,000 - $300,000 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 accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our for additional information.

Scale AI is seeking a technically rigorous and driven AI Research Engineer to join our Enterprise Evaluations team. This high-impact role is critical to our mission of delivering the industry's leading GenAI Evaluation Suite. You will be a hands-on contributor to the core systems that ensure the safety, reliability, and continuous improvement of LLM-powered workflows and agents for the enterprise. The ideal candidate has a strong foundational knowledge of large language models, a passion for tackling complex evaluation challenges, and thrives in a dynamic, fast-paced research environment. We are looking for an engineer who can think outside the box, stays current with the latest literature in AI evaluation, and is passionate about integrating novel research ideas into our workflows to build best-in-class evaluation systems. Responsibilities 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. Basic Qualifications 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. Preferred Qualifications 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. Familiarity with distributed computing frameworks and modern cloud infrastructure. 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 accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy 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 Washington DC, Texas, Colorado is:$170,000-$260,000 USDThe base salary range for this full-time position in the location of Hawaii/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 accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: Build, profile and optimize our training and inference framework. Post-train state of the art models, developed both internally and from the community, to define stable post-training recipes for our enterprise engagements. Collaborate with ML teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.. Create a next-gen agent training algorithm for multi-agent/multi-tool rollouts. Ideally you'd have: At least 1-3 years of LLM training in a production environment Passionate about system optimization Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc. Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster Experience with multi-node LLM training and inference Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. Strong written and verbal communication skills to operate in a cross functional team environment. PhD or Masters in Computer Science or a related field 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:$180,600-$315,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.