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Location: United States The Opportunity: Join a large, nationally recognized academic medical center as a Faculty GI Pathologist within a highly collaborative, subspecialized department. This role offers the opportunity to practice high-level GI pathology in a high-volume setting, including complex liver, pancreas, and gastrointestinal cases, while engaging in teaching, research, and multidisciplinary care. With access to advanced diagnostic technologies and strong institutional support, this position is ideal for a pathologist seeking academic growth and clinical excellence. About the Practice: The Department of Pathology & Laboratory Medicine is a physician-led academic group with over 50 faculty members and a fully subspecialized practice model. The division manages a high volume of surgical and cytology cases annually and works closely with clinicians and surgeons in a multidisciplinary care environment. The department supports robust residency and fellowship programs across multiple subspecialties, including GI/liver pathology, and provides access to a comprehensive translational research core with advanced molecular diagnostics and next-generation sequencing capabilities. Position Highlights: Subspecialty-focused GI pathology sign-out within a high-volume academic center Exposure to complex cases including liver, pancreas, and transplant pathology Opportunities for teaching residents and fellows in a well-established training program Participation in multidisciplinary conferences and tumor boards Access to advanced diagnostic technologies and research infrastructure Faculty appointment at the Assistant, Associate, or Full Professor level Candidate Qualifications MD or DO with board certification in Anatomic and/or Clinical Pathology Fellowship training in Gastrointestinal Pathology Eligible for medical licensure in the applicable state Strong diagnostic skills and interest in academic pathology Excellent communication skills and collaborative mindset Compensation & Benefits: Competitive academic compensation package commensurate with experience Comprehensive benefits including health, dental, vision, and retirement plans CME allowance and academic support Malpractice coverage Location: This opportunity is located in a vibrant Midwestern metro area offering a strong balance of professional opportunity and quality of life. The region features an affordable cost of living, excellent schools, and access to outdoor recreation, along with a growing cultural and dining scene.

Location: United States; Rochester, United States Position Title: Pediatric Pathologist Department: Pathology / Laboratory Medicine Job Summary The Pediatric Pathologist is a specialized physician responsible for diagnosing diseases in fetuses, infants, children, and adolescents through the examination of tissues, organs, and bodily fluids. This role combines expert laboratory analysis with clinical collaboration to provide accurate diagnoses that guide patient management and treatment. Key Responsibilities Perform macroscopic and microscopic examination of pediatric tissue specimens, including biopsies, resections, and autopsies. Provide accurate and timely diagnostic reports for pediatric surgical pathology, hematopathology, and cytopathology. Collaborate with pediatricians, surgeons, oncologists, and other clinical teams to discuss findings and implications for patient care. Participate in multidisciplinary case conferences and tumor boards. Oversee and ensure quality control in laboratory testing and procedures, adhering to regulatory and safety standards. Interpret laboratory tests, including molecular and genetic studies, as relevant to pediatric conditions. Engage in teaching and training of residents, fellows, medical students, and laboratory staff. Contribute to clinical research, quality improvement initiatives, and academic publications in pediatric pathology. Maintain professional credentials and stay updated with advances in pediatric pathology and diagnostic techniques. Qualifications MD, DO, or equivalent medical degree with board certification in Anatomic Pathology (AP) or Anatomic and Clinical Pathology (AP/CP). Subspecialty training or fellowship in pediatric pathology preferred. Board certification or eligibility in Pediatric Pathology. Strong diagnostic skills in pediatric surgical pathology, hematopathology, and cytopathology. Knowledge of molecular pathology techniques and pediatric-specific disease processes. Excellent communication and collaboration skills for working with multidisciplinary teams. Commitment to academic activities, teaching, and research. Skills and Competencies Exceptional analytical and diagnostic capabilities. Attention to detail and precision in laboratory work. Ability to handle high-pressure situations and urgent cases. Strong organizational and documentation skills. Leadership skills for managing laboratory staff and mentoring trainees. Work Environment Hospital-based pathology department or academic medical center. Regular exposure to pediatric specimens, some potentially infectious or hazardous. Combination of laboratory, clinical, and educational responsibilities.

Location: Milwaukee, United States The Opportunity: Join a large, nationally recognized academic medical center as a Faculty Cytopathologist within a highly collaborative and subspecialized department. This role offers the opportunity to practice high-level cytopathology in a high-volume setting while engaging in teaching, research, and multidisciplinary care. With access to advanced diagnostic technologies and strong institutional support, this position is ideal for a pathologist seeking academic growth and a dynamic clinical environment. About the Practice: The Department of Pathology & Laboratory Medicine is a physician-led academic group with over 50 faculty members and a fully subspecialized practice model. The division processes a high volume of surgical and cytology specimens annually and maintains close collaboration with clinical teams across multiple specialties. The department supports comprehensive residency and fellowship programs and offers access to a robust translational research core with advanced molecular diagnostics and next-generation sequencing capabilities. Position Highlights: Subspecialty-focused cytopathology sign-out within a high-volume academic practice Participation in fine needle aspiration (FNA) procedures and on-site evaluations Opportunities for teaching residents and fellows in an established training program Involvement in multidisciplinary conferences and tumor boards Access to advanced diagnostic technologies and research infrastructure Faculty appointment at the Assistant, Associate, or Full Professor level Candidate Qualifications MD or DO with board certification in Anatomic and/or Clinical Pathology Fellowship training in Cytopathology Eligible for medical licensure in the applicable state Strong diagnostic skills and interest in academic pathology Excellent communication skills and collaborative mindset Compensation & Benefits: Competitive academic compensation package commensurate with experience Comprehensive benefits including health, dental, vision, and retirement plans CME allowance and academic support Malpractice coverage

Location: United States - Remote Workplace: remote About the Role The Technical Account Manager (TAM) is a deeply technical post-sales role focused on driving successful adoption of Azul Prime within a portfolio of strategic customers. Unlike a traditional TAM role, this position is hands-on and technical first. You will spend the majority of your time engaged with customer engineering teams on JVM performance tuning, troubleshooting, reliability engineering, and architectural guidance. Strong relationship skills matter, but it is technical credibility with developers, SREs, and architects that makes this role successful. You will be trusted by Azul’s most important accounts to ensure that their mission-critical Java applications run on Prime with the best possible performance, stability, and cost efficiency. And you will serve as the bridge between customers and Azul’s engineering organization, feeding real-world insights back into the product. What Makes This Role Different Technical depth first. Expect to spend significant time reading thread dumps, GC logs, and flight recordings — not building slide decks. Direct partnership with Azul engineering. You will work side-by-side with our runtime, GC, JIT compiler, and tooling teams on complex customer issues. Ownership of technical outcomes. You own production adoption of Azul Prime within your accounts — from candidate application selection through successful rollout and ongoing optimization. Key Responsibilities Strategic Account Ownership Own a portfolio of named strategic customers, with flexibility to engage additional high-value Azul Prime customers as opportunities arise. Build and maintain deep, long-term relationships with technical stakeholders — SREs, Java developers, platform engineers, and architects. Partner closely with Sales, Customer Success, and Support on joint account planning, renewals, and expansion opportunities. Technical Leadership Serve as the primary technical advisor for Azul Prime across your accounts. Lead troubleshooting, root cause analysis, and performance tuning engagements for JVM-based applications running at enterprise scale. Provide architectural guidance on reliability, scalability, latency, throughput, and cloud cost optimization. Work with customers to identify and qualify candidate applications for Azul Prime, then partner with them through successful production deployment. Product & Engineering Partnership Collaborate with Azul’s runtime, compiler, GC, and tooling engineering teams to resolve complex technical issues. Channel structured, actionable customer feedback into Azul’s product and engineering organizations to help shape the roadmap. Act as a senior point of technical escalation for high-severity issues within your accounts. Enablement & Knowledge Sharing Design and deliver customer-facing workshops, training sessions, and technical business reviews. Create and maintain high-quality technical documentation, runbooks, and reusable customer-facing assets for Azul Prime. Share knowledge internally, mentoring peers across the TAM, Sales Engineering, and Support organizations. Keep internal systems current with account activity, engagement notes, and customer outcomes. Required Qualifications 12+ years in senior technical roles such as software engineering, SRE, performance engineering, or cloud/platform engineering. 8+ years in customer-facing technical roles (TAM, solutions architect, consulting engineer, or SRE with direct customer engagement). Strong working knowledge of Java programming and JVM internals — garbage collection, JIT compilation, class loading, threading, and memory model. Demonstrated experience tuning and troubleshooting enterprise-scale Java applications in production. Demonstrated ability to perform root cause analysis and apply structured problem-solving techniques. Strong Linux fundamentals, including shell scripting and performance troubleshooting on Linux systems. Hands-on experience with distributed systems, public cloud platforms (AWS, GCP, and/or Azure), and containerization (Kubernetes, Docker). Excellent written and verbal communication skills, with the ability to translate complex technical concepts for audiences ranging from individual engineers to senior executives. Based in North America and able to travel occasionally to customer sites (typically 10–20%). Preferred Qualifications Deep specialization in JVM performance tuning, GC behavior analysis, and low-latency Java applications. Experience with observability and monitoring stacks (Prometheus, Grafana, Datadog, New Relic, Dynatrace, JFR, or similar APM tools). Familiarity with microservices architectures and modern cloud-native Java deployment patterns. Cloud platform certification (AWS, Azure, GCP) or SRE-related certifications. Contributions to open-source Java projects or active participation in the broader Java technical community. Experience using Jira and Confluence to raise bugs and maintain documentation. Prior experience with Azul Prime, OpenJDK, HotSpot, or other commercial Java runtimes. Why Azul At Azul, you will work alongside a team of Java experts who genuinely love the platform, on problems that matter to some of the most demanding engineering organizations in the world. Our technology powers mission-critical Java workloads at massive scale, and our customers rely on us precisely because we go deeper on Java than anyone else. If you want your technical expertise to have outsized impact — and you want to be surrounded by people who share that passion — we would love to talk! What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Azul participates in E-Verify. As a US employer, Azul Systems, Inc. uses E-Verify to confirm the employment eligibility of all newly hired employees working in the United States. For more information about E-Verify, please visit www.e-verify.gov.   Employment at Azul is contingent upon the completion of reference and background checks. We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is $150,000 and this job is also eligible for commission/variable pay.  Individual base salaries are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our benefit package includes medical and dental coverage, 401(k) plan, and a wide range of paid time off options.

Location: Montreal, Canada The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized. Tasks summary: Architecture Concept & Requirements • Establish functional, performance, environmental and security requirements with mission stakeholders & CONOPs. • Translate requirements into clear payload performance parameters and maintain bidirectional traceability throughout the project lifecycle. • Establish with cybersecurity team payload‑specific requirements & embed resilience and security by design. Payload Architecture Definition • Define the overall digital regenerative payload architecture (optical/RF ISLs, antenna arrays, digitizers/ onboard processing, Feeder links, master reference oscillator & clock synchronizations). • Define Interface Control Documents (ICDs) with spacecraft bus, ground segment and payload specific subsystems. • Define high‑speed data‑bus I/F (Serdes, SpaceWire, SpaceFibre, Ethernet, CAN, fiber). Trade‑Study & Technology Road‑Mapping • Lead trade‑offs for technologies, ASIC/FPGAs/SoCs, high‑speed data‑bus, and on‑board processing algorithms, PVT. • Identify emerging technologies and incorporate them into the company’s long‑term roadmap. System Modeling & Performance Simulation • Build end‑to‑end models of the signal chain (optical/RF, analog/digital) using MATLAB/Simulink, SystemView or Python‑based toolkits. • Run Monte‑Carlo and tolerance analyses to verify gain, SNR, dynamic range, spectral efficiency, G/T, EIRP and other key metrics. • Optimize payload design and performance with operation with traffic models/CONOPs. Simulation & Analysis • Oversee performance simulations & analysis (Gain, Spurious, Linearity, SNR, dynamic range, spectral efficiency, pointing, G/T, EIRP…etc.) and tolerance budgeting. • Optimize Payload DC power budget with traffic & utilization models. Hardware & Firmware • Own system‑level specifications to hardware designers, review schematics, layouts, thermal & mechanical interfaces. • Oversee MODCODs selection and on‑board processing pipelines; define BIST, timing, latency and deterministic behavior. Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Act as the primary technical liaison with Electrical, Power, Structures, Thermal, Software, Ground Segment and Mission Operations teams to resolve integration issues early. • Support payload design authority in System design reviews and Mission Operations hand‑over. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Author Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test, environmental and electromagnetic compatibility (EMC) test campaigns. • Define test‑automation framework set‑up, test‑case definition, results analysis and test‑report certification. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to the company’s knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Ensure all artefacts, analysis, software, deliverables and documentation are version controlled in PLM environment. • Chair design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. On Orbit & Operations Support • Technical support to Mission Operations for routine payload health monitoring, contingency handling and performance trending. • Lead root‑cause investigations for on‑orbit anomalies; update design baselines and lessons‑learned. • Analyze on‑orbit telemetry, update filter parameters, and generate performance reports. • Define SOOH and associated operator training. Required Qualifications:  B.Sc. in Electrical Engineering, Aerospace or Physics (M.Sc. preferred) with 12 + years of digital regenerative payload system design experience on LEO/MEO missions.  Comprehensive knowledge of digital regenerative communications, SDR, DSP, DVB RCS/SX protocols, Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G, NTN.  Strong technical writing ability (requirements, ICDs, test procedures, risk reports) and presentation skills; comfortable interfacing with customers, suppliers and senior leadership.  Strong understanding of aerospace system engineering fundamentals.  Hands-on individual who can support systems integration processes and capability to test systems and resolve problems.  Experience with Confluence and JIRA.  Demonstrated capability to efficiently work with little supervision.  Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity.  Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Montreal, Canada The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized. Tasks summary: Architecture Concept & Requirements • Gather functional, performance, environmental and security requirements from mission stakeholders & CONOPs. • Map requirements to payload equipment performance with I/F with on-board processor • Coordinate with cybersecurity team for payload‑specific assessments • Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Payload Architecture & Design • Implement the high‑level digital payload architecture (optical ISLs, Phased array antennas, Feeder links & front‑end), master reference oscillator & clock synchronizations. • Produce Interface Control Documents (ICDs) with other subsystems and ground segment. • Implement high‑speed data‑bus I/F (SpaceWire, SpaceFibre, Ethernet, CAN). Simulation & Analysis • Perform performance simulations (Gain, Spurious, Linearity, SNR, dynamic range, spectral efficiency, G/T, EIRP…etc.) and Monte‑Carlo analyses for tolerance budgeting. • Define and maintain Payload DC power budget with traffic & utilization models • Perform FMECA, Fault tree and FDIR, reliability modeling and availability to meet mission objectives Hardware & Firmware • Provide system‑level specifications to hardware designers, review schematics, layouts, thermal interfaces, and mechanical constraints. • Support SW development for MODCODs and on‑board processing pipelines; ensure BIST, timing, latency and deterministic behavior. Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Support payload design authority in System design reviews, Power/Structure/Thermal interfaces and Mission Operations assessments. • Liaise with Electrical, Power, Structures, Thermal, Software, Ground‑Segment and Mission‑Operations teams to resolve integration issues early. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Develop Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test, environmental and electromagnetic compatibility (EMC) test campaigns. • Lead test‑automation framework set‑up, test‑case definition, results analysis and test‑report certification. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to the company’s knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Ensure all artefacts, analysis, software, deliverables and documentation are version controlled in PLM environment. • Lead and Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. On Orbit & Operations Support • Provide technical support to Mission Operations for routine payload health monitoring, contingency handling and performance trending. • Lead root‑cause investigations for on‑orbit anomalies; update design baselines and lessons‑learned. • Analyze on‑orbit telemetry, update filter parameters, and generate performance reports. • Support SOOH development and associated operator training. Required Qualifications:  B.Sc. in Electrical Engineering, Aerospace or Physics with 8 + years of digital regenerative payload system design experience on LEO/MEO missions.  Comprehensive knowledge of digital communications, SDR, DSP, DVB RCS/SX protocols, Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G NTN.  Strong technical-writing ability (requirements, ICDs, test procedures, risk reports) and presentation skills; comfortable interfacing with customers, suppliers and senior leadership.  Strong understanding of aerospace system engineering fundamentals.  Hands-on individual who can support systems integration processes and capability to test systems and resolve problems.  Experience with Confluence and JIRA.  Demonstrated capability to efficiently work with little supervision.  Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity.  Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Montreal, Canada The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized. Tasks summary: Architecture Concept & Requirements • Gather functional, performance, pointing, environmental and security requirements from mission stakeholders & CONOPs. • Capture, trace and map payload requirements from mission level to subsystem level • Coordinate with cybersecurity team for payload‑specific assessments • Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Payload Architecture & Design • Design the SAR system architecture (antenna arrays & RF front-end Tx/Rx components, digital beamforming, processing chain and digital electronics, power, thermal, and mass). • Lead the conceptual, preliminary, and detailed design phases, producing trade studies, performance budgets). • Produce Interface Control Documents (ICDs) with other subsystems and ground segment. • Provide system‑level specifications to hardware designers, review schematics, layouts, thermal interfaces, and mechanical constraints Simulation & Analysis • Perform performance simulations for tolerance budgeting and image quality. • Support algorithm and analytical development to process SAR. • Define and maintain Payload DC power budget with utilization models. • Perform FMECA, Fault tree and FDIR, reliability modeling and availability to meet mission objectives Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Support payload design authority in System design reviews, Power/Structure/Thermal interfaces and Mission Operations assessments. • Liaise with Electrical, Power, Structures, Thermal, Software, Ground‑Segment and Mission‑Operations teams to resolve integration issues early. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Develop Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test, environmental and electromagnetic compatibility (EMC) test campaigns. • Lead test‑automation framework set‑up, test‑case definition, results analysis and test‑report certification. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to the company’s knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Ensure all artefacts, analysis, firmware, deliverables and documentation are version controlled in PLM environment. • Lead and Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. On Orbit & Operations Support • Provide technical support to Mission Operations for routine payload health monitoring, contingency handling and performance trending. • Lead root‑cause investigations for on‑orbit anomalies; update design baselines and lessons‑learned. • Analyze on‑orbit telemetry, update filter parameters, and generate performance reports. • Support SOOH development and associated operator training. Required Qualifications:  B.Sc. in Electrical Engineering, Computer science or Physics with 10 + years of experience supporting SAR remote sensing system development, integration and test on LEO/MEO missions.  Strong technical-writing ability (requirements, ICDs, test procedures, risk reports) and presentation skills; comfortable interfacing with customers, suppliers and senior leadership.  Strong understanding of aerospace system engineering fundamentals.  Hands-on individual who can support systems integration processes and capability to test systems and resolve problems.  Experience with Confluence and JIRA.  Demonstrated capability to efficiently work with little supervision.  Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity.  Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Goodyear, United States Workplace: onsite Role type: Part-time Location: Goodyear, Arizona Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.  Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.  We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.  Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide. Avila University Arizona is seeking dedicated and qualified Adjunct Instructors to join our faculty in Goodyear, Arizona. As an Adjunct Instructor, you will teach online and hybrid graduate courses. The ideal candidate possesses strong industry experience and technical proficiency in selected field and is passionate about mentoring adult learners in accelerated graduate programs. When applying, please specify in your Cover Letter which subject areas you are applying for. Successful candidates will be added to our adjunct faculty pool. Teaching assignments for the upcoming terms, which runs through January 2027, will be distributed from this pool based on course availability and enrollment. Subject areas: 1. Artificial Intelligence, Data Science & Analytics Faculty may teach courses in areas such as: Artificial Intelligence and Machine Learning Deep Learning and Generative AI Natural Language Processing and Computer Vision Data Science and Predictive Analytics Business Intelligence and Data Visualization Big Data and Cloud Analytics 2. Project Management & Operations Faculty may teach courses in areas such as: Project Management and Agile Methodologies Operations and Supply Chain Management Process Improvement and Six Sigma Strategic Leadership and Organizational Management Project Tools, Technologies, and Analytics Candidates applying for PM & Operations must have a valid PMP certificate. 3. Healthcare Administration & Health Informatics Faculty may teach courses in areas such as: Healthcare Systems and Administration Health Informatics and Digital Health Systems Electronic Health Records and Interoperability Healthcare Policy, Law, and Ethics Healthcare Finance and Strategic Management Healthcare Data Analytics and Decision Support 4. Data Science, Analytics & Business Intelligence Faculty may teach courses in areas such as: Foundations of Data Science & Analytics Statistical Analysis for Business Data Mining & Predictive Modeling Business Intelligence & Data Warehousing Data Visualization & Storytelling Big Data Technologies & Cloud Computing Strategic Decision Making with Analytics Data Science Capstone & Industry Internship 5. Core Business Faculty may teach courses in areas such as: Foundations of Data Science & Analytics Statistical Analysis for Business Data Mining & Predictive Modeling Business Intelligence & Data Warehousing Data Visualization & Storytelling Big Data Technologies & Cloud Computing Strategic Decision Making with Analytics Data Science Capstone & Industry Internship Summary of role: Instruction & Delivery Deliver high-quality online and hybrid instruction using in-person, synchronous and asynchronous methods. Utilize best practices in teaching for online, accelerated adult graduate programs. Employ effective teaching strategies that accommodate diverse student abilities, professional backgrounds, and learning styles. Integrate real-world business datasets and industry case studies into course curriculum to ensure practical applicability. Mentorship & Student Support Assist students in navigating challenges encountered during their coursework, providing actionable feedback and solutions. Foster a collaborative learning environment where students are encouraged to reflect on their technical practice and innovate. Collaboration & Coordination Collaborate with university faculty and program directors to ensure curriculum alignment with current industry trends in the subject areas. Participate in faculty meetings and professional development activities to stay updated on best practices in STEM education and emerging AI technologies. Professional Development Engage in ongoing professional development to enhance expertise in instructional technologies, instructional methods, and assessment practices. Stay informed about current research and trends in the subject area, incorporating relevant knowledge into course content. Administrative Duties Maintain accurate records of student grades, project evaluations, and attendance within the university’s learning management system. Ensure compliance with university academic standards and accreditation requirements. Assist in the coordination of programmatic assessments to monitor the effectiveness of the curriculum. Qualifications: Required: Doctorate in the related field. A master’s degree with significant (10+ years) professional industry experience in the subject area will be considered in lieu of a doctorate. Required: Minimum of 5 years of professional experience applying subject concepts in a business or research setting. Preferred: Prior teaching, training, or adjunct faculty experience in related subjects. Demonstrated ability to communicate complex management concepts clearly to diverse audiences. Ability to facilitate virtual team simulations and guide students through conflict resolution and negotiation scenarios. Excellent communication, collaboration, and time-management skills. Familiarity with working on real-world business datasets and solving industry-specific problems. Terms of Employment: FLSA Status: Exempt Communication: Maintains communication with various Faculty, staff, and external constituents in the performance of role. Must be professional in all communications as a representative of the senior administrative team. Utilizes existing technology effectively in the performance of duties. Reasoning Ability: Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. Language Skills: This position requires the ability to read, write, understand and communicate in English. Functions of the job include: pertinent laws, codes, policies, and/or regulations; personnel processes; curriculum adoption process; program planning and development; and learning styles and curriculum models. Ability is required to schedule a number of activities, meetings, and/or events; often gather, collate, and/or classify data; and use job-related equipment. Flexibility is required to independently work with others in a wide variety of circumstances; analyze data utilizing defined but different processes; and operate equipment using standardized methods. Ability is also required to work with a significant diversity of individuals and/or groups; work with data of widely varied types and/or purposes; and utilize a variety of job-related equipment. Independent problem solving is required to analyze issues and create action plans. Problem solving with data frequently requires independent interpretation of guidelines; and problem solving with equipment is moderate to significant. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, be mobile in an office environment, stand, read, use a keyboard, and communicate audibly in person and by telephone and video technology. Specific vision abilities required by this job include close vision, distance vision, and depth perception. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate and is a standard acceptable level for this environment. Other Skills/Abilities: Ability to establish and maintain effective working relationships with university employees, community members, external parties, Board members, and senior administrators; ability to speak clear and concisely in written or oral communication and ability to maintain professional decorum. Evaluation: Performance of this position will be evaluated in accordance with Avila University policy. The information contained in this description is for compliance with the Americans with Disabilities Act (A.D.A.) and is not an exhaustive list of the duties performed for this position. The individual currently holding this position performs additional duties and additional duties may be assigned. Avila University is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, national origin, sex, age, tenure, disability or any other factors that cannot be lawfully considered in its programs and activities as required by all applicable laws and regulations. Avila University reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions or assign additional responsibilities. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. Our data privacy policy can be viewed here .

Location: Goodyear, United States Workplace: onsite Role type: Part-time Location: Goodyear, Arizona Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.  Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.  We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.  Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide. Avila University Arizona is seeking dedicated and qualified Adjunct Instructors to join our faculty in Goodyear, Arizona. As an Adjunct Instructor, you will teach online and hybrid graduate courses. The ideal candidate possesses strong industry experience and technical proficiency in selected field and is passionate about mentoring adult learners in accelerated graduate programs. When applying, please specify in your Cover Letter which subject areas you are applying for. Successful candidates will be added to our adjunct faculty pool. Teaching assignments for the upcoming terms, which runs through January 2027, will be distributed from this pool based on course availability and enrollment. Subject areas: 1. Artificial Intelligence, Data Science & Analytics Faculty may teach courses in areas such as: Artificial Intelligence and Machine Learning Deep Learning and Generative AI Natural Language Processing and Computer Vision Data Science and Predictive Analytics Business Intelligence and Data Visualization Big Data and Cloud Analytics 2. Project Management & Operations Faculty may teach courses in areas such as: Project Management and Agile Methodologies Operations and Supply Chain Management Process Improvement and Six Sigma Strategic Leadership and Organizational Management Project Tools, Technologies, and Analytics Candidates applying for PM & Operations must have a valid PMP certificate. 3. Healthcare Administration & Health Informatics Faculty may teach courses in areas such as: Healthcare Systems and Administration Health Informatics and Digital Health Systems Electronic Health Records and Interoperability Healthcare Policy, Law, and Ethics Healthcare Finance and Strategic Management Healthcare Data Analytics and Decision Support 4. Data Science, Analytics & Business Intelligence Faculty may teach courses in areas such as: Foundations of Data Science & Analytics Statistical Analysis for Business Data Mining & Predictive Modeling Business Intelligence & Data Warehousing Data Visualization & Storytelling Big Data Technologies & Cloud Computing Strategic Decision Making with Analytics Data Science Capstone & Industry Internship 5. Core Business Faculty may teach courses in areas such as: Foundations of Data Science & Analytics Statistical Analysis for Business Data Mining & Predictive Modeling Business Intelligence & Data Warehousing Data Visualization & Storytelling Big Data Technologies & Cloud Computing Strategic Decision Making with Analytics Data Science Capstone & Industry Internship Summary of role: Instruction & Delivery Deliver high-quality online and hybrid instruction using in-person, synchronous and asynchronous methods. Utilize best practices in teaching for online, accelerated adult graduate programs. Employ effective teaching strategies that accommodate diverse student abilities, professional backgrounds, and learning styles. Integrate real-world business datasets and industry case studies into course curriculum to ensure practical applicability. Mentorship & Student Support Assist students in navigating challenges encountered during their coursework, providing actionable feedback and solutions. Foster a collaborative learning environment where students are encouraged to reflect on their technical practice and innovate. Collaboration & Coordination Collaborate with university faculty and program directors to ensure curriculum alignment with current industry trends in the subject areas. Participate in faculty meetings and professional development activities to stay updated on best practices in STEM education and emerging AI technologies. Professional Development Engage in ongoing professional development to enhance expertise in instructional technologies, instructional methods, and assessment practices. Stay informed about current research and trends in the subject area, incorporating relevant knowledge into course content. Administrative Duties Maintain accurate records of student grades, project evaluations, and attendance within the university’s learning management system. Ensure compliance with university academic standards and accreditation requirements. Assist in the coordination of programmatic assessments to monitor the effectiveness of the curriculum. Qualifications: Required: Doctorate in the related field. A master’s degree with significant (10+ years) professional industry experience in the subject area will be considered in lieu of a doctorate. Required: Minimum of 5 years of professional experience applying subject concepts in a business or research setting. Preferred: Prior teaching, training, or adjunct faculty experience in related subjects. Demonstrated ability to communicate complex management concepts clearly to diverse audiences. Ability to facilitate virtual team simulations and guide students through conflict resolution and negotiation scenarios. Excellent communication, collaboration, and time-management skills. Familiarity with working on real-world business datasets and solving industry-specific problems. Terms of Employment: FLSA Status: Exempt Communication: Maintains communication with various Faculty, staff, and external constituents in the performance of role. Must be professional in all communications as a representative of the senior administrative team. Utilizes existing technology effectively in the performance of duties. Reasoning Ability: Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. Language Skills: This position requires the ability to read, write, understand and communicate in English. Functions of the job include: pertinent laws, codes, policies, and/or regulations; personnel processes; curriculum adoption process; program planning and development; and learning styles and curriculum models. Ability is required to schedule a number of activities, meetings, and/or events; often gather, collate, and/or classify data; and use job-related equipment. Flexibility is required to independently work with others in a wide variety of circumstances; analyze data utilizing defined but different processes; and operate equipment using standardized methods. Ability is also required to work with a significant diversity of individuals and/or groups; work with data of widely varied types and/or purposes; and utilize a variety of job-related equipment. Independent problem solving is required to analyze issues and create action plans. Problem solving with data frequently requires independent interpretation of guidelines; and problem solving with equipment is moderate to significant. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, be mobile in an office environment, stand, read, use a keyboard, and communicate audibly in person and by telephone and video technology. Specific vision abilities required by this job include close vision, distance vision, and depth perception. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate and is a standard acceptable level for this environment. Other Skills/Abilities: Ability to establish and maintain effective working relationships with university employees, community members, external parties, Board members, and senior administrators; ability to speak clear and concisely in written or oral communication and ability to maintain professional decorum. Evaluation: Performance of this position will be evaluated in accordance with Avila University policy. The information contained in this description is for compliance with the Americans with Disabilities Act (A.D.A.) and is not an exhaustive list of the duties performed for this position. The individual currently holding this position performs additional duties and additional duties may be assigned. Avila University is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, national origin, sex, age, tenure, disability or any other factors that cannot be lawfully considered in its programs and activities as required by all applicable laws and regulations. Avila University reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions or assign additional responsibilities. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. Our data privacy policy can be viewed here .

Location: Remote - Bay Area MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. The Field Architect role at MinIO is a senior customer-facing technical leadership position focused on defining, validating, and guiding AIStor architectures for AI, analytics, cloud-native applications, and large-scale data infrastructure. You will serve as a trusted technical advisor to customers, partners, and internal teams, translating business and application requirements into robust technical designs that deliver measurable outcomes. You will collaborate closely with the broader MinIO team to ensure customers are successful through technical discovery, architecture design, proof-of-value execution, production onboarding, performance validation, and long-term expansion. Success in this role requires deep technical curiosity, hands-on architecture skills, strong communication, and the ability to connect AIStor’s capabilities to the data-intensive workloads that matter most to our customers. What You Will Do: Technical Leadership & Architecture Technical Architecture and Discovery: Lead technical discovery with customers and partners to understand their business goals, application requirements, data architecture, infrastructure constraints, and success criteria. Define scalable AIStor architectures that map directly to those requirements. AI and Analytics Workload Design: Define and validate AIStor architectures for AI/ML training and inference, analytics platforms, data lakehouse environments, high-performance data pipelines, large object workloads, and modern application data services. Object Storage and S3 Expertise: Serve as a subject matter expert in object storage, S3-compatible architectures, distributed systems, metadata, replication, erasure coding, security, performance tuning, and large-scale namespace design. Customer Engagement & Advisory Customer Technical Advisor: Build trusted relationships with customer technical stakeholders, including infrastructure, platform, analytics, AI, security, application, and operations teams. Guide customers toward informed architecture decisions and proactively identify opportunities to improve performance, resilience, scale, and operational efficiency. Proof-of-Value Execution: Lead technical evaluations, system configurations, performance testing, interoperability validation, and proof-of-value engagements that demonstrate AIStor’s value in real customer environments. Customer Success Beyond the Win: Partner with Customer Engineering, Product Management, and Engineering teams to help customers move from evaluation to production and from initial deployment to broader adoption across additional workloads, teams, and use cases. Ecosystem, Enablement & Field Operations Cloud-Native and Kubernetes Guidance: Provide technical leadership on Kubernetes, containers, automation, and cloud-native deployment patterns, including hybrid cloud, private cloud, public cloud, and edge infrastructure models. Solution Integration and Ecosystem Collaboration: Work with technology partners, reseller partners, and customer teams to support complete solutions involving analytics engines, AI platforms, Kubernetes distributions, data protection tools, identity systems, observability platforms, and public cloud services. Technical Presentations and Enablement: Build and deliver compelling architecture presentations, whiteboard sessions, demonstrations, best practices, workshops, and technical enablement sessions for customers, partners, and internal teams. RFP, RFI, and Technical Response Support: Contribute to or lead technical portions of RFPs, RFIs, RFQs, security reviews, architecture questionnaires, and competitive evaluations. Product Intelligence & Market Expertise Product and Engineering Feedback: Advocate for customer requirements internally by capturing field feedback, competitive insights, workload patterns, integration needs, and enhancement opportunities. Work with Product and Engineering teams to help inform roadmap priorities and improve customer outcomes. Competitive and Market Expertise: Stay current on object storage, data lakehouse, AI infrastructure, analytics, Kubernetes, cloud, and competitive storage trends. Help internal teams and customers understand where AIStor is differentiated. Your Skills and Experience: Strong background in enterprise storage, object storage, distributed systems, cloud infrastructure, data platforms, or high-performance data-intensive applications. Strong understanding of object storage concepts and S3-compatible architectures; experience with HTTP, REST APIs, JSON, security models, replication, data protection, and scale-out system design is highly valuable. 10+ years of experience in a senior customer-facing technical role such as Field Architect, Solutions Architect, Sales Engineer, Systems Engineer, or Technical Consultant. Hands-on experience with Linux, networking, storage systems, virtualization, containers, Kubernetes, and modern data center infrastructure. Experience designing or supporting AI, machine learning, analytics, data lakehouse, or large-scale data pipeline environments. Familiarity with ecosystem technologies such as Databricks, Starburst, Spark, Trino, Iceberg, Delta Lake, Kafka, PyTorch, TensorFlow, or other AI and analytics frameworks is a strong plus. Experience with public cloud and hybrid cloud environments, including AWS, Azure, GCP, OCI, or private cloud platforms. Ability to conduct technical discovery, design architectures, build demonstrations, guide proof-of-value execution, analyze performance, and communicate tradeoffs clearly. Comfortable working with heterogeneous enterprise environments involving compute, storage, networking, security, identity, observability, backup, disaster recovery, and application teams. Strong verbal, written, whiteboarding, and presentation skills, with the ability to communicate complex technical concepts to both technical and executive audiences. Ability to work collaboratively across customers, partners, Sales, Product, Engineering, and Customer Engineering teams. Strong customer-success orientation, intellectual curiosity, sense of ownership, and ability to prioritize effectively in a fast-moving environment. Willingness to travel as needed to support customers, partners, field events, and internal team activities. Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field; equivalent practical experience will also be considered. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Pay Transparency MinIO determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. The salary range for this position is $200,000 - $225,000 base with commission. Actual offer will be based on your qualifications. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run. Responsibilities Build and improve the RL training infrastructure that researchers depend on day-to-day Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster Own the reliability and performance of research runs end-to-end Contribute to design decisions that shape how Anthropic does RL at scale You may be a good fit if you Have strong software engineering fundamentals and a track record of building performant, reliable systems Have worked on ML infrastructure, distributed systems, or research tooling Care about enabling other people's work and find leverage through platforms rather than individual experiments Are comfortable operating across the stack, from low-level performance work to RL algorithms Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre-training, or post-training) Familiarity with JAX, PyTorch, or similar ML frameworks A track record of operating at the edge of research and infra in a fast-moving environment Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £370,000 — £630,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run. Responsibilities Build and improve the RL training infrastructure that researchers depend on day-to-day Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster Own the reliability and performance of research runs end-to-end Contribute to design decisions that shape how Anthropic does RL at scale You may be a good fit if you Have strong software engineering fundamentals and a track record of building performant, reliable systems Have worked on ML infrastructure, distributed systems, or research tooling Care about enabling other people's work and find leverage through platforms rather than individual experiments Are comfortable operating across the stack, from low-level performance work to RL algorithms Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre-training, or post-training) Familiarity with JAX, PyTorch, or similar ML frameworks A track record of operating at the edge of research and infra in a fast-moving environment Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. Why Technology at loveholidays? Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset. Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this. The impact you’ll have: You’ll join our Web Infrastructure team, reporting to the Senior Lead Engineer. The team builds the shared foundations behind loveholidays’ customer experiences, spanning our web and app platforms, design system, edge computing and experimentation. You’ll help shape these foundations by: - Building platforms that enable market-leading web performance and accessibility by default, giving product teams the foundations to deliver fast https://medium.com/loveholidays-tech/the-evolution-of-the-loveholidays-web-platform-9b34f59c8c5a, inclusive customer experiences. - Evolving our design system to help engineers, designers and AI agents deliver consistent, high-quality experiences. - Improving developer experience and reliability through faster builds https://tech.loveholidays.com/build-baby-build-276e445f539e, actionable error reporting https://tech.loveholidays.com/stop-chasing-ghost-errors-a-systematic-approach-to-frontend-error-monitoring-that-actually-works-fe5e1c8790cc and tools that make systems easier to develop and operate. - Owning problems from discovery through delivery by working directly with internal customers to identify priorities and validate that solutions meet their needs. Your skillset: - Strong frontend engineering and performance skills – you have deep experience with a modern frontend framework (we use Preact), TypeScript and CSS, and can diagnose performance bottlenecks and measure how architectural and implementation changes affect Core Web Vitals and real-world performance. - Experience building shared frontend foundations – you’ve built and maintained robust and reusable design systems and developer tooling – managing governance, compatibility and providing clear documentation and migration paths for adopting teams. - Accessibility engineering – you have experience embedding automated accessibility checks into component tests and CI, preventing regressions, and complementing automation with keyboard and assistive technology testing. - Infrastructure ownership – you have experience operating production infrastructure through infrastructure as code tools, such as Terraform, with attention to safe changes, observability and reliability. - Building systems for AI agents – you understand how clear interfaces, reusable capabilities, machine-readable context and automated validation help agents work reliably within defined constraints. - Product engineering mindset – you’re comfortable with ambiguous problems, can challenge proposed solutions and weigh trade-offs, and use research, adoption metrics and performance data to guide decisions. The interview journey: 1. TA screening - 30 mins 2. 1st stage interview with the Hiring Manager - 45 mins 3. Tech challenge - you can choose between a live and take home option 4. Final stage - consisting of discussions around three key areas Perks of joining us: - Company pension contributions at 5%. - Individualised training budget for you to learn on the job and level yourself up. - Discounted holidays for you, your family and friends. - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. - Ability to buy and sell annual leave. - Cycle to work scheme, season ticket loan and eye care vouchers. Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: Montreal; Canada Workplace: remote ABOUT YOU We are looking for a Full-Stack Engineer who is curious, detail-oriented, and collaborative to join our Engineering team. The best candidate will be someone who enjoys working in a fast-paced, team-oriented environment and is eager to contribute to end-to-end solutions, learn scalable architecture patterns, and help improve performance and reliability across both frontend and backend systems.   Proficiency in React and modern frontend development practices, along with backend experience in Go (or a similar language) is essential, along with exposure to microservices architecture and containerized environments using Docker and Kubernetes. The ability to contribute to features from concept to production, assist in troubleshooting system issues, and participate in performance optimization efforts will be key to your success in this role.   If you're passionate about building full-stack experiences that power impactful products and are excited to grow your skills within gaming, payment, and digital commerce ecosystems, we would love to hear from you!     ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Contribute to the development and maintenance of full-stack applications that power core products and platforms. Build responsive, performant user interfaces using React. Develop and maintain backend services using Go and event-driven architectures. Work with microservices in containerized environments using Docker and Kubernetes. Participate in architecture discussions and contribute ideas that improve performance and maintainability. Collaborate with engineers, product managers, designers, and QA to deliver features end-to-end. Monitor and debug your code in production, contributing to application reliability and performance improvements. Write automated tests and follow CI/CD best practices to ensure quality deployments. Participate in code reviews, technical discussions, and knowledge sharing across teams. Join on-call rotation to support production systems and assist in incident response. Qualifications & Skills 2–4 years of full-stack development experience. Proficiency in React and modern frontend development practices. Backend experience in Go or a similar language. Understanding of microservices architecture and event-based communication patterns. Exposure to container orchestration and cloud infrastructure (e.g., Kubernetes, Docker). Basic understanding of observability, monitoring, and performance optimization. Ability to assist in troubleshooting production issues and analyzing system behavior. Nice to Have Experience with React Native for mobile development. Interest or background in gaming, payments, or commerce systems. Exposure to adtech or offer monetization platforms. Familiarity with Kafka or equivalent streaming platforms. Familiarity with Redis or other in-memory data stores. Experience with cloud platforms (e.g., AWS, GCP, or Azure). Exposure to ClickHouse, Postgres, or other analytical/OLAP/OLTP databases. Any experience working on internal platforms or developer-facing tools. Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Lead Software Engineer (Mobile Native), we will conduct a background check that may include the following. Criminal history check. Employment verification. Education verification.   Relevance to job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/ managing budgets /accessing funds   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com

Location: Paris, Remote Workplace: remote The Trainer is our pedagogical and platform expert within the Professional Services (PS) team. Your mission is to empower our clients to build Collaborative Learning organizations by mastering our platform and methodology. You aren't a technical expert; you are a pedagogical and platform expert who ensures that clients don’t just "use" the software, but master it to drive long-term engagement. By owning our "One-to-Many" offer (Engagement Academy & Stadium webinars), you ensure that every client, from their first day of implementation, has the knowledge and confidence to make their project a success. You don't just deliver content; you develop a scalable learning ecosystem that ensures every client gets the best start possible by mastering our Collaborative Learning methodology. You will work closely with the Customer Success Team and Product teams to ensure our training offer addresses the actual friction points and needs of our client base. Within 1 month, you will: Master our Platform's core user experience and the Collaborative Learning methodology Become a platform expert (from a user & admin perspective) and get certified on our methodology. Shadow existing Stadium webinars and Academy workflows to understand the current "One-to-Many" engine. Connect with colleagues worldwide through virtual coffee chats and team-building activities. Within 3 months, you will: Host your Stadium webinars and receive peer feedback on your ability to drive platform engagement. Identify and execute your updates on the Engagement Academy to align with the latest product releases. Define your quarterly priorities in relation to the Support & Services roadmap with your coach. Actively contribute to our internal knowledge base (Confluence) to share best practices on platform usage and client engagement. Within 6 months, you will: Lead a project to improve the One-to-Many strategy (e.g., new webinar formats, gamification of the Academy, or localized content). Participate in Discovery Meetings with Product Managers to share insights on how clients actually use and adopt the platform. Analyze Academy completion rates and Stadium satisfaction scores to iterate on the training Catalog. Build new processes and update Confluence with the information needed for the team's daily work. Within 12 months, you will: Onboard and mentor new Trainers, teaching them how to turn platform features into compelling learning stories. Take full ownership of a recurring team pillar (e.g.,being the internal referral for complex solution training). Develop advanced toolkits and training paths based on the most successful client use cases. The Skills Set: 3+ years of successful experience as a Trainer OR successful client-facing experience in Customer Success/Care. You are recognized for your listening and teaching skills You express your ideas in a clear and concise manner, both in writing and orally You are proactive and prefer working in a strong results-oriented culture A past experience in the learning industry is a plus You have excellent overall writing skills in a number of different styles/tones, and impeccable spelling and grammar in German and English. Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What we offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity_360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our LEC Coach Case Study Meeting with our LEC Coach and a member of the team Clarification Meeting with our Head of professional Services EMEA Culture Fit Meeting with our VP Global Professional Services Offer ! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Gżira, Malta; Città Vittoriosa, Malta; Għaxaq, Malta; Msida, Malta; Naxxar, Malta; Barcelona, Spain; Madrid, Spain; Tenerife, Spain; Bolzano, Italy; Rome, Italy; Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland; Athens, Greece; Crete, Greece; Aya Napa, Cyprus; Limassol, Cyprus; Nicosia, Cyprus; Paphos, Cyprus; Porto, Portugal; Lisbon, Portugal; Bucuresti, Romania; Sofia, Bulgaria; Bordeaux, France; Grenoble, France; Lille, France; Lyon, France; Montpellier, France; Nantes, France; Paris, France; Toulouse, France Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Tax Manager specialist to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Responsibilities: Leading tax-planning and implementation strategies to optimize clients’ tax liability Providing advice on tax considerations in various processes of corporate restructuring and financing, mergers and acquisitions, cross-border investments, and other types of transactions Assisting international and local clients with ad-hoc tax advisory engagements Assisting in tax compliance and execution, including preparation of corporate tax returns and tax refund applications Assisting in tax audits and liaising with tax authorities Delivering technical training and providing technical support to the accounting and audit teams Keeping abreast with direct tax developments locally and internationally Identifying opportunities for the unit’s growth Re-assessing and proposing improvements to systems and processes as and when required Assisting junior team members as their primary point of contact and review work where appropriate Experience working against deadlines and delivering in a timely manner Excellent verbal and written communication skills in both English and Maltese languages Knowledge of a third language is considered a plus Working on your own initiative and in a team, with a pro-active approach Building relationships with clients and having a passion for delivering exceptional service Your Qualifications and Experience: ACCA qualified or equivalent A minimum of 2 years experience in a CSP environment following achievement of qualifications Excellent command of accounting standards and Maltese tax legislation

Location: United Kingdom About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, and established brands across industries such as SaaS, MarTech, FinTech, and Beauty & Wellness. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. About the Company Our client is a rapidly growing beauty and wellness brand focused on delivering premium products and services across the UK market. With a strong presence in the haircare, skincare, and self-care space, they are expanding their outbound sales team to drive partnerships with salons, retailers, and distributors. Job Summary We’re looking for a high-performing Sales Development Representative with proven experience in the beauty, haircare, or wellness industry. This is a fully remote sales role ideal for someone who understands the nuances of selling into salons, spas, and beauty retailers across the UK. You’ll be responsible for outbound prospecting, lead generation, and booking qualified meetings for the senior sales team. This role requires strong relationship-building skills, industry knowledge, and a results-driven mindset. Key Responsibilities Conduct outbound prospecting via cold calls, email, and LinkedIn to UK-based beauty businesses (salons, clinics, retailers). Identify and qualify leads within the beauty/hair/wellness space. Book high-quality discovery calls and product demos for Account Executives. Build and manage a consistent pipeline using CRM tools (e.g., HubSpot, Salesforce). Research target accounts and personalise outreach strategies. Collaborate closely with marketing and sales teams to refine messaging and campaigns. Track outreach performance and optimise conversion rates. Requirements Must be UK-based with strong understanding of the local beauty/wellness market. 3+ years of SDR/BDR or outbound sales experience. Proven experience selling into beauty, haircare, skincare, or wellness industries (essential). Strong cold calling and outbound prospecting skills. Experience using CRM platforms (HubSpot, Salesforce, or similar). Excellent communication and relationship-building abilities. Self-motivated, target-driven, and comfortable working remotely. Experience engaging with salon owners, spa managers, or retail buyers is highly desirable. Benefits 💰 Competitive salary performance-based commissions 🌎 Fully remote role with flexible work environment 🚀 Work with a fast-growing beauty & wellness brand scaling across the UK 🎯 Performance-driven incentives and bonus structure 🤝 Structured onboarding and ongoing sales training through Huzzle 🔒 Long-term opportunity with stability and growth potential

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Chicago, IL; Boston, MA; Washington, D.C. Workplace: onsite Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title: Data Quality Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs — answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We’re Looking For Native-level Portuguese (Portugal) language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 2–4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.