Deep learning jobs in Hoboken, New Jersey - Page 4Create job alerts

For Basketball: experience working inside an NBA front office or comparable environment, familiarity with deep learning methods, and public-facing basketball analytics work that demonstrates how you think about the game.

We’re seeking a Machine Learning Data Scientist with deep expertise in healthcare claims data to design, build, and deploy advanced analytics and machine learning modeling solutions. Capable of applying advanced predictive analytics to correlate disparate datasets and events and derive busine

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.Our employees bring deep expertise in Data Science, Machine Learning and AI.We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate busine

You bring deep expertise in forecasting, applied statistics, and machine learning, with the ability to translate technical findings into actionable recommendations for leadership. Apply advanced statistical and machine learning techniques to identify patterns, measure operational performance, an

Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is a hybrid role (3 days in office / 2 days remote). About Your Team: Shape the Future of Market Integrity at Interactive Brokers. Interactive Brokers (IBKR) seeks a Quantitative Software Engineer to join our elite transaction surveillance team. You will leverage your quantitative skills and experience in financial markets to develop sophisticated detection systems that identify market manipulation, fraud, and money laundering attempts before they impact market integrity. Your work will directly influence how one of the world's largest electronic brokers protects the financial ecosystem. What will be your responsibilities within IBKR: • Architect next-generation surveillance models to detect emerging manipulation patterns across global markets, • Partner with compliance leadership to ensure surveillance systems meet and exceed regulatory expectations, • Translate your experience into algorithms that identify suspicious trading and cashiering activity with high accuracy, • Conduct sophisticated data analysis on massive financial datasets (hundreds of millions of daily orders, millions of daily trades), • Evaluate model performance to optimize detection accuracy while minimizing false positives, • Document methodologies to withstand regulatory scrutiny and examination. Which skills are required: Attention Candidates: If your experience is exclusively in bank risk departments building, VAR models or similar frameworks, please note this role involves fundamentally different expertise in surveillance technology and compliance systems. • Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related quantitative field, • Strong programming proficiency in Python, • Professional experience: 5+ years (3+ for Master's, 1+ for PhD) hands-on experience in market surveillance, • Domain expertise in at least one of:, • Large-scale financial data analysis (orders, trades, market data), • Market manipulation detection methodologies (spoofing/layering, insider trading, money laundering, fraud, etc.), • Regulatory-driven feature engineering, • Communication excellence in explaining complex surveillance concepts to diverse stakeholders. Good to haves: • Regulatory background at the SEC, FINRA, or major securities exchanges, • Advanced degree in a quantitative discipline, • Mastery of Python data science tools (pandas, scikit-learn, xgboost, catboost), • Deep understanding of market microstructure and trading strategies, • Specialized knowledge in AML and market manipulation typologies To be successful in this position, you will have the following: • Self-motivated and able to handle tasks with minimal supervision., • Superb analytical and problem-solving skills., • Excellent collaboration and communication (Verbal and written) skills., • Outstanding organizational and time management skills., • Competitive salary, annual performance-based bonus and stock grant, • Retirement plan 401(k) with competitive company match, • Excellent health and wellness benefits, including medical, dental, and vision benefits, and a company-paid medical healthcare premium., • Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP), • Paid time off and a generous parental leave policy, • Daily company lunch allowance is provided, and a fully stocked kitchen with healthy options for breakfast and snack, • Corporate events, including team outings, dinners, volunteer activities and company sports teams, • Education reimbursement and learning opportunities, • Modern offices with multi-monitor setups

Who You Are: You are a proactive, assertive, analytical person who loves to think ahead. You want a detail-oriented environment with plenty of room to achieve goals with independence and freedom. The Opportunity: You will serve as a key member of our engineering team and will drive our ongoing efforts to improve our scalability, redundancy, reliability and growth by learning our codebase and systems, building and re-implementing aging services, by reimplementing portions of our legacy code in our modern PHP/Laravel/Vue.js environment by writing this code along with tests, monitoring and documentation. You will also participate in on-call rotation and incident resolution. Achieving this mission involves troubleshooting and solving (if a bug is involved) escalated technical issues from customer support by spreading the workload more evenly among the engineering team. Who We Are: At BoldBrush, we know that art can transform lives and make the world a better place. That’s why for over a decade, our mission has been inspiring artists to inspire the world. We provide the art community with technology that is simple to use, empowering and beautiful. And we back that technology with live support powered by people who are passionate about art, tenacious, ingenious and driven to make every interaction remarkable. What You’ll Do: • Build, maintain, and improve platforms and systems infrastructure at the core of FASO., • Building back end services to scale with our growth, especially systems we are outgrowing, • Reimplement legacy features in Laravel environment complete with tests, monitors, and documentation, • Learn existing systems & codebases to assist when we have site incidents and/or downtime, • Participate in on-call rotation and coordinate resolution effort when incident happens during your rotation, • Resolve escalated customer support technical issues (bug fixes & more technical questions & configurations). Must-haves: • Good analytical and troubleshooting skills, • Strong Attention to detail, • Persistence / Gets things done, • High standards, • Works well on a team, • Communication/thinks and writes clearly, • Inspired by our mission and core values. Missionary and not a mercenary. Technical Skills needed: PHP/Laravel (or other MVC framework with willingness to quickly learn) SQL (Understanding relational databases and how to query) Understanding of Git Comfortable and experienced at troubleshooting production servers and systems. Vue.js (or comparable framework), strong with javascript Details: This is a full-time salaried job. No agencies or part-timers, sorry. Location: San Antonio, Texas. This is not a remote position - you must work in the office 1-2 days per week We typically work 1-2 days per week in office and 3-4 days per week remotely. TO APPLY: 1. Please read this entire job description Please send an application with a cover letter that speaks directly to this position. There are no right answers or cookie-cutter expectations. Show us your role in BoldBush’s future and BoldBrush’s role in yours. Address some of the work we do. Introduce yourself as a colleague. Give it a deep think and take this at your speed. We’re giving you our full attention. Make sure that you attach a current version of your resume and any other information that you think is relevant to this job opportunity. We understand this is a lot of work and there’s a lot on the line. It’s a significant career move to consider. We appreciate the generosity and courage that go into giving us your consideration. Our conversation starts with your application. We look forward to hearing from you.

At the end of this journey, you'll become a proud member of Hack The Box, with the ultimate mission to raise cyber resilience, so that every organization can stay ahead of tomorrow’s threats.🚀🔒💻 As a Staff Performance Data Analyst, you will be the analytical engine behind our most important client relationships. Your mission is to use data to prove the ROI of our cybersecurity training platform. You will navigate complex datasets using SQL and Python to uncover how our training impacts human risk, then use your storytelling expertise to present these insights to executive-level stakeholders. • US (East Coast preferred), • Fully Remote This role sits on our Federal Sales team, reporting to our SVP of Global Federal & SLED. The team consists of account executives and collaborates closely with BDRs, Solutions Engineers, and Customer Success. The role works closely with the Data Engineering team. • Looker, Excel, Python, SQL, Snowflake 1. Strategic Client Consultation • Partner with stakeholders in Federal agencies to translate their specific security compliance needs into data-driven success plans., • Translate business requirements from senior leadership stakeholders in the USG into technical data solutions. 2. ROI Modeling & Data Storytelling • Use Python and SQL to extract and manipulate large datasets, identifying correlations between training engagement and a reduction in security incidents., • Creating interactive dashboards and presentations (e.g., Tableau, Power BI, Looker) to showcase ROI and performance metrics., • Ability to create data visualizations for a variety of levels in the USG 3. Actionable Behavioral Insights • Perform deep-dive analysis on user behavior and simulation logs to identify "high-risk" cohorts., • Provide tailored recommendations to clients on how to optimize their training curriculum based on marketing-style engagement metrics (open rates, click-through rates, and completion velocity). 4. Technical Data Integrityelite • Maintain a high standard of data hygiene by auditing the flow of training logs from the platform to the reporting layer., • Utilize Excel for rapid prototyping of financial models and ad-hoc "what-if" risk analysis for client presentations. 5. Stakeholder & Relationship Management • Lead "Executive Business Reviews" (EBRs) where you present the narrative of the client’s security evolution., • Collaborate with internal Product and Data Engineering teams to ensure our platform’s telemetry meets the evolving reporting needs of the market. Technical Mastery • Data Manipulation: Can translate raw data into useful insights for executives; Expert-level SQL or Snowflake for querying complex relational databases; Experience with Python for data cleaning, automation, and statistical analysis., • Visualization: Mastery of Looker, or other visualization tools, to create "at-a-glance" executive views and deep-dive operational reports., • Communication: Ability to command a room of Senior Leaders and explain technical data in a clear, persuasive manner., • Presentation: Expert at building slide decks that tell a cohesive story—not just showing charts, but explaining what they mean for the mission and risk., • Client Success & Marketing: Understanding of churn metrics, adoption rates, engagement funnels, and learning metrics., • Industry Context: Familiarity with client success metrics. Familiarity with the ed tech industry is a plus., • 🎯You'll have the exhilarating opportunity to contribute to a product that is highly appreciated by users and the cybersecurity community at large., • 🎯 You'll experience a highly supportive and caring environment, fostering growth, flexibility, and autonomy., • 🎯 You'll embark on an exciting journey of continuous learning and problem-solving, leveling up as our organization grows., • 🎯 Most importantly, you'll have a blast at HTB 🥳 because fun is an essential ingredient in our recipe for success! Just wait until you see our global meet-ups!, • Base Salary: USD 150,000 - 180,000, • Medical, Dental & Vision (employee coverage 100% paid for by Hack The Box), • 401K w/ employer match, • Employer-paid Life and AD&D Insurance, • Supplemental Life Insurance, • Short-term and Long-term Disability, • Healthcare and Dependent Care FSA, • Paid paternity & maternity leave, • 25 annual leave days, • Home Office Allowance, • Dedicated budget for training and professional development, participation in conferences, • State-of-the-art equipment, • Full access to the Hack The Box lab offerings; so you can learn how to hack 😉, • Level 1: To complete level one’s objective, submit your application., • Level 2: Chat with Talent Acquisition to share your achievements and professional story, • Level 3: Meet the hiring team. Level’s objective: connect with the hiring team and share with them your achievements., • Level 4: Complete an assignment - the perfect way to showcase your skills., • Level 5: Connect with a senior leader, • Level 6: You've officially received an offer from HTB! To complete the last level and the Quest, all you need to do is accept the offer., • Quest complete. Congratulations, you’re officially one of us 🥳🎉🎇Your next quest: complete the onboarding. Hack The Box (HTB) is the cybersecurity upskilling and talent development platform trusted by individuals, enterprises, and government agencies to sharpen offensive and defensive capabilities. Powered by a vibrant global community and hands‑on, real‑world training, HTB helps security teams practice like attackers, validate skills continuously, and move faster against emerging threats. We’re scaling rapidly across the enterprise market—especially in Financial Services, MSSPs, and Technology—and we’re just getting started. If you’re excited to turn technical depth into crisp stories, to shape a category, and to fuel measurable growth in a fast, collaborative environment—come build with us. 🚨 Exciting News: • We are super proud to share that Hack The Box’s entities in the US, the UK & Greece have been certified as a Great Place to Work (2024-2026)., • Furthermore, Hack The Box’s Greek entity has been listed by the Great Place to Work Institute in the Top 5 of Best Workplaces for three consecutive years (4th, 2nd, 3rd), • On the European level, the Greek entity has been listed as Best Workplace in Europe for three consecutive years At Hack The Box, we are committed to fostering a diverse, inclusive, and equitable workplace. We believe that diversity enriches our performance, services, and the communities we serve. As such, we ensure that all job applications are considered solely based on merit, skills, and qualifications. We do not discriminate on grounds of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We are dedicated to providing a fair and respectful work environment that reflects our values. Hack The Box participates in E-Verify. For more information, please click ___ and ___

As Sr. Software Developer I (Salesforce), you’ll build and support Salesforce solutions in a mission-driven, regulated environment. As a Salesforce Developer, you'll work alongside experienced engineers to develop new features, maintain existing functionality, and grow your technical skills across the Salesforce platform. This role offers hands-on experience with Apex, Lightning Web Components, integrations, and declarative tools—while learning best practices for enterprise-scale development in a supportive, collaborative team. We know that you can’t have great ___ without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers. If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below! What you’ll do: • Develop Salesforce solutions using Apex, Lightning Web Components (LWC), Visualforce, and declarative capabilities under guidance from senior team members., • Contribute to the design and implementation of Salesforce features that meet business and technical requirements., • Build and maintain integrations using REST/SOAP APIs, platform events, and middleware platforms., • Implement data models, security controls, and role-based access configurations as directed., • Follow established development standards, code quality practices, and CI/CD processes., • Troubleshoot and resolve defects, performance issues, and user-reported problems across development and test environments., • Participate in Agile ceremonies including sprint planning, daily standups, backlog refinement, and retrospectives., • Participate in code reviews and incorporate feedback to improve code quality and technical skills., • Create and maintain technical documentation for developed solutions and support compliance efforts. What you’ll need to succeed: • Must have DoD Secret Clearance, • Bachelors degree, • 5+ years of Salesforce development experience, • Hands-on experience developing with Apex, Lightning Web Components, and Salesforce declarative tools., • Understanding of Salesforce fundamentals including object relationships, security models, and the Lightning platform., • Ability to write clean, maintainable code and follow established development standards. SALARY RANGE: $92,000 – $129,000 The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including: • The candidate's professional background and relevant work experience, • The specific responsibilities of the role and organizational needs, • Internal equity and alignment with current team compensation, • This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include:, • Performance-based bonuses, • Company-paid training and/or certifications, • Referral bonuses To apply for this position, please submit your resume via the form below or through our careers page: ___ Application Deadline: Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration. Additional Compensation: This role may also be eligible for bonuses and/or additional incentives based on individual and company performance. Benefits: All full-time employees are eligible to participate in our benefits programs: • Health, dental, and vision insurance, • 401(k) retirement plan with company match, • Paid time off (PTO) and holidays, • Parental Leave and dependent care, • Flexible work arrangements, • Professional development opportunities, • Employee assistance and wellness programs Like we said, we are big fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company ___and ___. Plus, check out our ___ Commitment to Non-Discrimination All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. What we want you to know: 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. Not ready to apply now? Sign up to join our newsletter ___.

Our platform supports real-time and batch data needs for analytics, reporting, and machine learning, serving teams across Marketing, Product, Sales, and Finance. Deep understanding of the data lifecycle, emphasizing the importance of high-quality data in applications, machine learning, business anal

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: A Software Engineer in Platform Operations is responsible for helping design, build, and operate the core infrastructure that enables Planet's engineering teams to reliably deploy and scale their services with minimal friction. This role is a key contributor to the evolution of our modern cloud-native platform, focusing on security, scalability, and reliability. This position will work as part of a team that partners with software engineers across the organization to refine and improve the deployment and operational experience. The ideal candidate is excited by the opportunity to enable software engineering at scale and provide internal users a “batteries included” infrastructure experience through our internal developer platform. This is a full-time, remote position based in the United States. If located near an office, you are expected to work from that office 3 days per week. Impact You’ll Own: • Design and implement core Infrastructure-as-Code (IaC) solutions to ensure the secure and scalable operation of Planet's services., • Actively work on major platform modernization initiatives, including the full migration from legacy tooling to new solutions., • Manage cloud-based infrastructure services, notably our fleet of Kubernetes clusters, and associated tooling to meet internal needs and support customer-facing service level agreements., • Enhance and maintain observability for key platform services, leveraging Grafana and other tools to establish Service Level Objectives (SLOs) and improve operational readiness., • Implement improvements and features for core systems owned by the team, such as GKE clusters, public API gateway, and other managed infrastructure solutions., • Collaborate with software engineering teams to refine the developer experience (DevEx) of our managed infrastructure. What You Bring: • 4+ years of experience in a Platform Engineering, System Administration, DevOps, or Site Reliability Engineering (SRE) role., • Deep understanding of Kubernetes, underlying compute systems, and Linux, • Working knowledge of public clouds, particularly Google Cloud Platform (GCP) or Amazon Web Services (AWS)., • Experience with CI/CD tools (e.g. GitLab, ArgoCD), Configuration Management (e.g. Terraform, Crossplane) and GitOps principles., • Ability to use an operational mindset and troubleshooting prowess for complex production environments., • Experience building services in languages such as Go and Python using tools like Git, Docker, and CI/CD workflows., • Experience building services that leverage cloud-based infrastructure and tooling such as AWS or GCP., • Ability to collaborate and clearly communicate designs and decisions verbally and in writing. What Makes You Stand Out: • Experience in the operational management and development of core platform systems or open-source infrastructure projects., • Experience with maintaining highly available or operationally resilient infrastructure at very large scales or across multiple clouds., • Practical experience with networking and network architectures as it relates to platform infrastructure., • Experience with Observability tools and best practices. #LI-REMOTE Application Deadline: May 5, 2026 by 11:59 PM PT Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office), • Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. New York City + California Salary Range $136,000 - $170,000 USD San Francisco Salary Range $144,500 - $180,600 USD US National Salary Range $127,000 - $158,700 USD Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. ___ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

We are seeking a Principal Data Scientist to lead the research and creation of multimodal AI (MMAI) models and workflows that integrate genomic, transcriptomic, imaging, and clinical data for various oncology applications. This role is critical to advancing the science and technology of MMAI, driving innovation in predictive modeling to benefit patient outcomes, and supporting product strategy through rigorous hypothesis-driven research. The Principal Data Scientist will report to the Senior Director of Computational Biology and collaborate closely with cross-functional teams including Discovery, Bioinformatics and Data Science, Cloud Ops/Engineering, Pathology, Medical, and Clinical Affairs. Based in the R&D division, this role supports our mission to discover, develop, and deliver the best diagnostic, prognostic, and predictive tests to transform cancer care for patients all over the world. Position can be remote (within USA or Canada), on-site (South San Francisco or San Diego), or hybrid. • Lead research into novel MMAI models while closely collaborating with other machine learning experts across the computational team on strategy, study design, cohort selection, data acquisition, and data generation., • Architect, train, and validate MMAI models integrating modalities including genomics, transcriptomics, whole-slide imaging (e.g. H&E tumor tissue slides), and clinical features for cancer prognosis, risk stratification, diagnosis, and therapy selection., • Drive proof-of-concept and feasibility projects from definition through model development, benchmarking, interpretation, and dissemination of results., • Design and implement pipelines for ingesting, harmonizing, and integrating diverse data modalities (including whole-slide images, RNA-seq, WGS, clinical metadata)., • Work closely with wet lab scientists, bioinformatics/data science teams, medical/clinical/pathology teams, software/data/cloud engineers, and other cross-functional teams to ensure models are biologically interpretable and clinically applicable., • Prepare and present findings to technical and non-technical audiences, including conference abstracts and presentations, scientific publications, and internal reports. You are a creative, pragmatic leader with a passion for translating complex data into actionable clinical insights to improve management and outcomes of cancer patients. You thrive in multidisciplinary, fast-paced environments, welcome feedback, and are driven by scientific curiosity and rigor. You are comfortable navigating challenges, adapting to evolving priorities, and delivering results on time. MUST HAVE: • Ph.D. in bioinformatics, computational biology, genomics, biostatistics, computer science, or a related field applying quantitative computational methodologies to biological/clinical problems., • Minimum 8 years of relevant experience, with at least 5 years in an industry setting (biotech, diagnostics, or healthcare preferred)., • Demonstrated expertise in multimodal data integration, machine learning, and model development for NGS-based clinical diagnostics., • Strong programming skills in Python, R, and SQL., • Strong experience with cloud computing environments (AWS preferred)., • Deep knowledge of genomics, transcriptomics, digital pathology, and clinical data analysis., • Proven track record of technical leadership, project ownership, and successful delivery of high-impact R&D projects., • Excellent communication skills and ability to mentor and lead interdisciplinary teams., • Strong publication record in peer-reviewed journals, including first and senior authorship. PREFERRED: • Experience with advanced ML architectures (transformers, multimodal fusion, attention mechanisms)., • Familiarity with regulatory requirements (HIPAA, GDPR) and data governance in clinical research., • Experience with medical imaging analysis and cytopathology., • Knowledge of cancer biology, immunology, and clinical trial design. #LI-Remote #LI-Hybrid For candidates based in our San Diego office, the salary (or hourly range is $XX - $XX. For candidates based in our South San Francisco office, the salary or hourly range is $XX - $XX. For candidates working remote (US), the salary or hourly range is $XX - $XX.

Description TrueNAS is redefining enterprise storage by delivering proven data resilience, performance, and flexibility without the complexity or constraints of legacy solutions. As the most deployed storage platform in the world, TrueNAS already powers critical data storage infrastructure for businesses, research institutions, and government agencies across 200+ countries and millions of users. Our mission is simple: to become the most trusted name in data storage. Originally founded in Silicon Valley in 2002 under the name iXsystems, TrueNAS is a profitable, independent company with a culture rooted in trust, curiosity, technical excellence, and continuous improvement. Whether you work remotely or on-site, you’ll be part of a team that values collaboration and meaningful impact - where people come before profit, and bold ideas drive the future of data infrastructure. If you’re ready to help shape the future of enterprise storage, we’d love to connect. Position Overview: The Vice President of Customer Success & Global Support Services, reporting to the Chief Operation Officer, is responsible for leading and unifying TrueNAS’s global customer support, customer care, and professional services functions across the full customer lifecycle, from onboarding and adoption through renewal, expansion, and retention. This executive role ensures a consistent, high-quality customer experience across all touchpoints, while maintaining cost-to-serve discipline and operating within approved budgets, serving as the senior escalation authority for critical accounts and a key voice of the customer within the business. This is a U.S.-based position, with a strong preference for the individual to be located in Campbell, CA. Base Pay Range The on-target-earnings of this position is $200,000 to $350,000 USD annually. Please note that the provided range reflects the pay spectrum for positions within the same job category as the one to which this position belongs. The final offer will consider various factors, such as location, education, and prior experience, to ensure a comprehensive and fair compensation assessment. TrueNAS offers a comprehensive package of benefits including health, dental, vision, disability, and life insurance, paid time-off, 401(k), health and flexible spending accounts, stock purchase plan and more. Expected Posting Timelines This position will be open for a minimum of 5 days, a maximum of 90 days. The Day-to-Day The essential functions and responsibilities for this position include, but are not limited to, the following. Other duties may be assigned as needed. Executive Leadership & Strategy: • Act as the primary executive contact representing customer interests across the business., • Partner with Operations, Engineering, Product, and Sales leadership to support growth and adoption., • Establish clear expectations for product capabilities, service delivery, and customer outcomes, including customer retention, renewal execution, and expansion opportunities in partnership with Sales., • Partner with Sales on renewals and expansions while maintaining clear ownership boundaries, governance, and alignment on account strategy and commercial execution., • Operate within approved annual budgets and workforce plans; all headcount increases, promotions, and compensation adjustments must follow companywide Finance and HR governance processes. Customer Support & Technical Operations: • Oversee global technical support operations for all TrueNAS products and platforms., • Oversee 24/7 global support delivery, ensuring the consistent achievement of world-class Customer Satisfaction (CSAT) and Customer Effort Score (CES) targets. Drive the evolution from reactive to proactive and predictive support models., • Serve as the executive escalation point for critical customer accounts and high-severity incidents., • Ensure customer and product SLAs are met or exceeded., • Own customer health frameworks, including segmentation, risk identification, and proactive churn-prevention strategies for enterprise and strategic accounts. Professional Services & Partner Management: • Lead the Professional Services organization, including onsite deployments and advanced engagements, with accountability for utilization, margin, and delivery efficiency., • Manage key partners and vendors supporting customer deployment and services., • Establish and maintain certification programs for partners and customers deploying TrueNAS products., • Ensure services align with customer expectations and product capabilities, and support long-term customer value realization, renewals, and expansion outcomes. Cross-Functional Alignment & Product Expectations: • Work closely with Engineering, Hardware, Product, and Sales teams to align customer expectations., • Represent customer needs, product performance, and product quality in executive planning., • Drive feedback loops between customers and internal teams to improve reliability and supportability. Process, Systems & Quality Management: • Drive continuous improvement of support processes, leveraging AI/ML, self-service portals, and robotic process automation (RPA) to optimize workflows and significantly reduce customer effort and time-to-resolution (TTR)., • Ensure operations are managed through Salesforce, SAP, and other internal enterprise systems., • Own ISO, QMS, and support-related compliance standards on behalf of the customer care organization., • Advocate for root-cause analysis and corrective actions for recurring customer and product issues. Metrics, Reporting & Operational Excellence: • Define, monitor, and enforce a balanced scorecard of KPIs, focusing on both lagging indicators (e.g., SLA, CSAT) and leading indicators (e.g., self-service adoption, case deflection rate, first contact resolution), alongside financial metrics including cost-to-serve, support margin, and budget adherence, as well as customer retention, renewal rates, churn, and net revenue retention (NRR) as a primary success metric., • Provide regular executive-level reporting on support health, customer risk, and improvement initiatives, • Use data-driven insights to guide operational and strategic decisions., • Provide quarterly executive and Board-level reporting on customer health, retention risk, renewal outlook, and strategic accounts., • Forecast renewal and retention risk in partnership with Finance and Sales, including early-warning indicators and mitigation plans. Travel: • Willingness and ability to travel up to 25% as required to support business, customer, and team needs. Confidentiality: • Handle sensitive and confidential information with the utmost discretion and integrity. Education and Experience We have identified the following programs, experience, and knowledge that have helped others find success in this role at TrueNAS. We understand, though, that knowledge comes from many forms of learning and experiences. Above all, we consider a person’s potential impact in the role and value their unique path to this point in their career. • Bachelor’s degree in Engineering, Computer Science, Business Administration, or equivalent experience., • 10+ years of experience leading teams in a customer-facing or operational role, with at least 5 years operating at a VP or equivalent executive level in a high-growth, enterprise B2B software or hardware company with direct accountability for customer outcomes., • Previous experience at a mid-size technology company is preferred, • Ability to multitask, prioritize, and work effectively under pressure in a fast-paced environment with competing operational and strategic demands., • High level of professionalism, discretion, and emotional intelligence when engaging with executives, customers, and Board-level stakeholders., • Extensive experience supporting and operating within enterprise data storage and IT networking organizations or similarly complex enterprise infrastructure environments., • Demonstrated success in scaling a global support organization (3x-5x growth) while simultaneously improving key quality metrics (CSAT, CES) driving customer retention, and lowering cost-to-serve., • An equivalent combination of professional experience and demonstrated leadership capability that delivers the knowledge, skills, and abilities described above., • Excellent verbal and written communication skills, with the ability to engage effectively with executives, customers, and cross-functional teams, • Ability to manage complex and critical customer situations both with the customers and with internal teams., • Excellent organizational and managerial skills, • Ability to build trusted and proactive relationships with major TrueNAS accounts, • Proven ability to set long-term strategic goals and translate them into actionable plans, • Ability to build, motivate, and lead high-performing, globally distributed teams, • Strong analytical and problem-solving skills, with a data-driven approach to improving customer outcomes, • Ability to manage multiple priorities and initiatives in a fast-paced environment, • Strong business acumen with experience aligning customer success initiatives to company objectives, including renewals, expansion outcomes, and net revenue retention (NRR) in enterprise B2B environments., • Strong financial acumen, including experience managing operating budgets, headcount planning, and cost optimization in global support organizations., • Strong Experience in Digital Transformation for Support: Proven track record of successfully implementing large-scale support automation (AI/ML chatbots, routing) and advanced self-service strategies to drive case deflection and scale operations., • Customer Effort Reduction Focus: Deep understanding of modern support metrics (e.g., Customer Effort Score, Net Promoter Score) and a proven ability to design service experiences that prioritize ease of use for the customer., • Vendor and Technology Management: Extensive experience selecting, integrating, and managing complex support technology stacks, including CRM (Salesforce/SAP), knowledge management systems, and emerging support tools., • Global Support Model Design: Expertise in designing and managing scalable, resilient 24/7/365 global support models that effectively utilize follow-the-sun strategies and leverage resources across multiple international sites (U.S., Manila, etc.) Equal Employment Opportunity: iXsystems DBA TrueNAS, Inc provides equal employment opportunities to all employees and applicants in all company facilities without regard to race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and intellectual disability, age, military status or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer-related or HIV/AIDS-related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

About OfficeSpace: OfficeSpace is the AI workplace management platform that helps teams plan, connect, and perform in the modern workplace. As a performance-based, PE-backed company, we hire based on merit and a willingness to do what it takes to succeed long-term. You’re a great fit for the role if you’re entrepreneurial, passionate, motivated by building at light speed, and an Agentic AI early adopter. Our world-class teams operate in the US, Canada, and Costa Rica in a culture of trust, respect, growth, and impact. Role Summary: • You will shape the technical future of OfficeSpace., • As our Principal Software Engineer (Ruby/React), you don’t just ship features—you architect systems that scale globally. You lead with clarity. You raise the bar. You design resilient, internet-scale applications that power the modern hybrid workplace., • We provide the platform. You drive the vision. What You’ll Do: • Architect and evolve internet-scale systems with performance, reliability, and scalability as first principles., • Lead the technical direction for Ruby on Rails and React applications across the platform., • Design clean, extensible APIs and modern front-end architectures that deliver fast, intuitive user experiences., • Orchestrate AI-assisted development workflows—using AI agents to accelerate code scaffolding, documentation, test generation, refactoring, and dependency analysis., • Own architectural decisions across services, databases, and infrastructure—including MariaDB, Redis, and Elasticsearch., • Use Kubernetes to scale Rails applications to handle Enterprise traffic, • Guide multiple high-impact initiatives in parallel, ensuring secure, well-tested, production-ready releases., • Mentor engineers to think in systems, write maintainable code, and leverage AI responsibly to increase velocity without sacrificing quality., • Proactively identify technical debt and scalability risks—and drive pragmatic solutions before they become bottlenecks., • Partner with Product, Design, and Leadership to evaluate trade-offs and deliver exceptional experiences across browsers and devices., • Continuously evaluate emerging technologies—including AI tooling—to strengthen platform performance and team effectiveness. What You Bring: • 10+ years of backend engineering experience, with deep expertise in Ruby on Rails., • 10+ years of experience building modern front-end applications with JavaScript (ES6+) and React., • Proven experience designing and scaling relational databases (MariaDB) and working with Redis and Elasticsearch., • Demonstrated ability to define and influence architectural direction across large systems., • Experience leading engineers through complex technical decisions while fostering a culture of trust and high standards., • Hands-on experience with GraphQL (preferred)., • Experience integrating AI development tools (e.g., code generation, static analysis, automated testing assistants) into engineering workflows., • Strong judgment—knowing when to automate, when to refactor, and when to rethink from first principles., • Clear communicator who can translate technical complexity into practical decisions. Why OfficeSpace? • High-Performance Culture: At OfficeSpace, we believe in the power of accountability, focus, and drive. Our A-Player team members work together to deliver measurable, meaningful results. We recognize and reward those who push boundaries and achieve excellence., • Ownership and Accountability: We trust our employees to take full ownership of their roles, providing the autonomy to innovate and the support to succeed. We seek individuals who are self-motivated and thrive in an environment where they can drive impactful outcomes., • Technology-Forward: As a company invested in cutting-edge technology, we integrate AI and other advanced solutions across our platform to enhance productivity, customer experience, and process efficiency. Our team members are excited by the potential of AI and proactively explore ways it can drive our success., • Growth Mindset: Continuous learning and improvement are integral to our culture. We encourage our team to embrace challenges, seek knowledge, and develop both personally and professionally., • Innovation and Agility: We foster a dynamic, fast-paced environment where fresh ideas and bold solutions are celebrated. We embrace change and thrive on turning challenges into opportunities, with a team that is agile, proactive, and resilient., • Collaborative, Results-Driven Environment: We value purposeful collaboration that leads to shared success and stronger results. While our team members are independent, they recognize the value of working together to drive our mission forward., • Competitive Benefits and Rewards: OfficeSpace offers comprehensive and competitive benefits packages globally, designed to support our team’s health, well-being, and financial security. We invest in our people so they can excel. OfficeSpace is committed to building and promoting a diverse workforce and celebrates the unique qualities that individuals of various backgrounds and experiences offer. We are committed to basing all employment-related decisions upon valid job-related factors without regard to race, color, sex (including pregnancy, sexual orientation, and gender identity), age, religion, national origin, genetic information, military status, veteran status, physical or mental disability, or any other status protected by law.

Role: Paralegal - Crypto and Fintech Startups The Opportunity We're expanding our team and hiring a paralegal who will work directly with our attorneys, primarily supporting one fast-growing startup client account with additional work across the broader client portfolio. Northstar Legal is an innovative law firm operating at the intersection of emerging technology and law. We act as fractional general counsel for companies in the crypto/fintech space, advising some of the most talented and ambitious CEOs in crypto. This role offers rapid skill development through hands-on work with cutting-edge legal issues, direct client interaction, and mentorship from experienced practitioners. You'll be embedded in the day-to-day legal operations of a fast-moving startup client, handling the full range of matters that come with supporting a growing company – contracts, corporate housekeeping, employment docs, compliance documentation, and vendor management. As capacity allows, you'll also support attorneys on matters across our other client accounts. What You'll Do • Maintain and manage contractor and consultant agreements under attorney supervision – primarily marketing, content creator, and service provider agreements – using firm templates, collecting deal terms from client stakeholders, and routing documents through DocuSign for execution., • Conduct legal research on regulatory and compliance questions as directed by attorneys, including cite-checking AI-prepared documents for accuracy., • Review and organize vendor agreements and order forms received from clients, flagging key terms for attorney review and tracking document status through execution., • Support client employment matters by preparing offer letters, contractor amendments, separation documentation, and onboarding materials under attorney direction., • Manage document workflows across client matters – including signature tracking, filing executed agreements, maintaining contract repositories, and following up with client teams on outstanding items., • Assist with corporate governance tasks such as organizing board consent materials, coordinating equity grant documentation with outside counsel, and maintaining entity records., • Compile and organize materials for compliance and diligence processes, including insurance applications, bank onboarding questionnaires, and investor due diligence requests., • Help build and maintain legal templates, intake checklists, and internal playbooks that improve efficiency across the client portfolio., • Coordinate across Slack channels and project management tools to track incoming requests, maintain task status, and ensure nothing falls through the cracks. Minimum Qualifications • 1–3 years of experience in a legal support role – law firm, in-house, or compliance., • Strong written communication skills and attention to detail., • Ability to work proactively, manage multiple client matters simultaneously, and meet deadlines., • Willingness to learn rapidly in areas where legal frameworks are still evolving., • Clear and responsive communicator – you'll coordinate directly with client team members on document requests, status updates, and follow-ups., • Comfort with technology tools and willingness to adopt new platforms (we use Google Workspace, Asana, Slack, and DocuSign). Preferred • Interest in or exposure to blockchain, cryptocurrency, DeFi, or fintech., • Familiarity with or interest in learning crypto and blockchain regulatory concepts., • Prior exposure to corporate transactions, including financings or M&A., • Experience working with cross-functional teams (marketing, finance, operations) in a fast-paced environment., • Exposure to privacy compliance concepts (GDPR, CCPA) is a plus., • Candidates pursuing or planning to attend law school are welcome to apply. Location & Work Style This role is remote and open to US-based candidates. NYC-based candidates have access to our office space near Union Square and the advantage of occasional in-person collaboration with our primary client team, which is based in New York. Candidates outside NYC will work fully remotely, with the expectation of occasional travel for in-person collaboration. Compensation & Benefits The salary range for this role on a full-time basis is $60,000 to $85,000. Equal Opportunity We are an equal opportunity employer and welcome applicants from diverse backgrounds. We do not discriminate on any legally protected basis. About Northstar Legal • Northstar Legal was founded in early 2023 by a seasoned lawyer with deep experience counseling leading CEOs in crypto and financial services. Our clients are pioneering a new kind of financial and digital engagement system and Northstar Legal is guiding them on legal and regulatory matters each step of the way.

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit ___. * Architect 3D object detection models, including multi-modal approaches (camera, LiDAR, Radar). * Build and maintain data collection and evaluation (metrics) pipeline. * Develop a proprietary multi-modal dataset for training and evaluation. * Train, deploy and monitor 2D/3D object detection models to production. * Experiment SOTA models’ performance. * Mentor junior engineers about best practices. * Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field. * 5+ years of focused experience in architecting and deploying 2D/3D object detection models. * Worked on entire perception stack (sensing, preprocessing, detection & tracking) * Python proficiency * The ability to lead projects autonomously * PhD in Computer Science, Robotics, or a related discipline. * Publications in major conferences like CVPR, ICRA, NeurIPS, IJCAI, AAAI etc

We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our San Francisco or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Role Summary Help define and deliver Lambda’s next-generation Identity and Access Management platform - powering secure, intuitive, and scalable access control for customers ranging from early-stage startups to the most superintelligent AI teams in the world. You’ll design IAM systems that anticipate the needs of highly technical users who will stress-test every workflow, integration, and permission model. Your charter will be to lead the design and implementation of our IAM vision: Workspaces, enterprise-grade RBAC, MFA enhancements, and a unified identity platform across all Lambda products and services. What You’ll Do * Design and build intuitive, beautiful web interfaces for ML/AI cloud users * Integrate top-tier tooling, workflows, and models from the AI space * Own features end-to-end—from design to deployment to monitoring You (Must-Haves) * 8+ years of backend or platform engineering experience, with 3+ years leading IAM or authentication/authorization initiatives. * Deep expertise in modern IAM patterns and technologies: * Authentication (OIDC, OAuth2, SAML) * Authorization (RBAC, ABAC, fine-grained permissions) * MFA and advanced authentication factors * SCIM and identity lifecycle management * Experience integrating and customizing third-party identity platforms (e.g., Auth0, Okta, WorkOS) at scale. * Strong architecture and systems design skills for distributed, multi-tenant SaaS environments. * Proven track record of delivering IAM features in security-sensitive, high-uptime environments. * Solid programming experience in Python, Go, or similar languages, plus comfort with IaC (Terraform, Atlantis, Crossplane). Nice-to-Haves * Experience designing IAM systems for ML/AI or cloud infrastructure products. * Hands-on experience with enterprise onboarding flows. * Prior work on multi-cloud or hybrid identity solutions (AWS, GCP, Azure). * Contributions to IAM standards or open-source identity projects. * Leadership or mentorship experience * Strong academic background (EECS, Math, Software Engineering, Physics) Salary Range The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. Final Note You don’t need to meet all qualifications to apply. Lambda values a variety of backgrounds, experiences, and skills. About Lambda * Founded in 2012, ~400 employees (2025) and growing fast * We offer generous cash & equity compensation * Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. * We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability * Our ___ have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG * Health, dental, and vision coverage for you and your dependents * Wellness and Commuter stipends for select roles * 401k Plan with 2% company match (USA employees) * Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Who We Are Perchwell is the modern real estate listings platform built for agents to search smarter, collaborate better, and close deals faster. We are building the future of residential real estateʼs critical listings infrastructure: a platform where market research and client collaboration converge. Our modern architecture enables continuous innovation at a pace legacy systems cannot match, with AI-powered features and mobile-first capabilities designed for how agents actually work. As consumer expectations and technology evolve, Perchwell remains focused on our core vision: empowering real estate professionals with the most intelligent, data-driven, and connected platform in the industry. Backed by leading venture capital firms including Lux Capital and Founders Fund, along with strategic partnerships with some of the country's top Multiple Listing Services (MLSs), Perchwell represents the first major new platform to enter the listings technology market in decades. This unique combination of institutional investment and deep industry alignment provides both the resources and market validation needed to transform the multi-trillion dollar residential real estate industry. We’re seeking an experienced Staff Software Engineer (Front End) who will help define and build the future of our frontend platform. In this foundational greenfield role, you will not only write high-quality code, but also shape the organization’s approach to frontend engineering, establish best practices, and influence frontend strategy across the entire company. You will partner closely with design, backend, QA, product, and engineering leadership to define technical direction, build scalable and maintainable systems, and mentor engineers at all levels. You’ll be a trusted voice in architectural decisions, and you’ll help the broader team leverage cutting-edge tools and approaches (including AI-augmented development) to deliver best-in-class experiences. This role is ideal for someone who thrives at the intersection of deep technical expertise, leadership, mentorship, and strategic thinking — someone who enjoys both shipping elegant code and raising the bar for engineering excellence across an organization. * Lead the architecture, design, and implementation of our new frontend platform — setting the foundation for years of future development. * Drive org-wide frontend best practices, including patterns for maintainability, performance, testing, accessibility, and scalability. * Mentor and guide engineers across teams — through code reviews, design discussions, pair programming, and knowledge sharing. * Collaborate with design, product, domain experts, and backend teams to ensure seamless end-to-end experiences, excellent API contracts, and shared patterns. * Evangelize and operationalize new tools, frameworks, and approaches — including AI-assisted development workflows that accelerate delivery while maintaining quality. * Define and enforce frontend standards: component libraries, coding conventions, tooling, CI/CD, testing strategy, and performance budgets. * Troubleshoot and resolve deep architectural challenges, and drive decisions that influence the entire engineering organization. * Lead cross-team initiatives and technical programs to completion with measurable outcomes and clear impact. * Champion frontend engineering excellence — including documentation, onboarding, learning, and team rituals around quality and craftsmanship. * 8+ years of experience in software engineering with a strong focus on frontend development, frameworks, and modern tooling. * Deep expertise in TypeScript, JavaScript (ES6+), HTML5, CSS, and React. * Deep understanding of how frontend systems are built, deployed, and operated in production, including infrastructure, caching, API integration patterns, and performance optimization. * Track record of architecting and delivering large-scale, complex frontend systems with high performance and maintainability. * Experience defining and implementing frontend best practices for modularity, testing (unit/integration/e2e), component libraries, and performance optimization. * Demonstrated ability to influence technical direction, drive engineering initiatives across teams, and align stakeholders on strategy. * Strong mentoring and leadership capabilities — ability to grow engineers at all levels. * Excellent communication skills, with a passion for collaboration across functional teams. * Experience in establishing developer workflows and automation that improve productivity and code quality. * Experience in greenfield frontend projects or leading major rewrites. * Familiarity with React Native and cross-platform development patterns, with the ability to shape a mobile strategy and ensure frontend architecture scales across web and native platforms. * Prior experience with AI-augmented coding tools, smart code generation, or related workflows. * Background building or scaling design systems, component libraries, or frontend SDKs. * Contributions to open source or public speaking / community engagement on frontend topics. * Familiarity with backend API design and integration patterns that support robust frontend apps. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. Our ranges are based on function and level benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including skills, job-related knowledge and depth of work experience. The compensation for this position is $200K-$245K base salary + equity + benefits Benefits • Flexible PTO, plus 10 paid company holidays, • 401K with a company match, • Medical, dental, and vision plans, • HSA and FSA options, • Commuter benefits, • Parental leave, • Company-wide onsite or offsite each year, • Beautiful office in Soho, Manhattan with a stocked kitchen, catered breakfast and lunch once per week, happy hours and meet-ups

About the job Did you know Hopper technology powers some of the largest travel portals in the world? Our Hopper Technology Solutions (HTS) platform drives travel purchases for major global brands — from banks to airlines to fintech leaders. This platform is essentially a configurable, multi-tenant travel commerce engine, enabling partners to launch world-class hotel and travel booking experiences faster, with less custom engineering. Our Stays & Packages team focuses specifically on accommodation and bundled travel experiences: hotels, alternative stays, and packages combining flights, cars, and lodging. We build the booking flows, search experiences, checkout journeys, and platform capabilities that power these products across multiple partner portals worldwide. We’re looking for a Senior Frontend / Full-Stack Engineer who wants to work at the intersection of travel product, platform engineering, and user experience. This role isn’t just about shipping UI features; it’s about shaping how lodging and package booking experiences scale across partners while maintaining performance, usability, and long-term maintainability. What would your day-to-day look like * Work with a group of top-tier engineers in a low-process environment powered by trust and autonomy * Drive decisions and consensus asynchronously with thoughtful documentation * Ship fast. Learn fast. Repeat. Build new features from top to bottom, from UX to database * Architect scalable front-end solutions that allow us to efficiently launch new portals. * Work directly with PMs and business partners to help define and refine our roadmap. Your voice matters. * Collaborate cross-functionally with a diverse group of people, giving and receiving feedback for growth An ideal candidate has: * Deep expertise in React with modern compiler-driven patterns (functional components, hooks, performance optimizations, server-side rendering, hydration, and advanced state management). * Proficiency in TypeScript, with experience developing and maintaining enterprise-scale applications. * Advanced CSS knowledge (Tailwind, SCSS, CSS-in-JS, animations, and handling browser quirks). * Familiarity with contemporary frontend tooling (e.g., React Query/TanStack ecosystem, Tailwind or design-token-based styling, modern build tools like Vite). Experience working in monorepos (e.g., Turbo, Nx, pnpm workspaces) is a plus too. * Solid frontend architecture fundamentals: performance, accessibility, responsive design, testing, and maintainability * Experience optimizing frontend performance (lazy loading, code-splitting, caching strategies, Lighthouse optimizations, etc.). * Experience working on complex product flows such as e-commerce, travel, marketplace, or fintech applications. * Ability to balance shipping product features with long-term platform thinking in multi-brand or white-label environments * Familiarity with SSR and static site generation (e.g., Next.js) for SEO-friendly experiences. * A passion for writing testable code knowing what to test, what not to test, and what kinds of tests matter in front-end applications. Bonus: Full-stack engineers with a frontend tilt are very welcome, especially those comfortable collaborating across API design, backend systems and cloud platforms (GCP, AWS, etc.). This is a nice to have, but not mandatory. * Perks and benefits of working with us: * Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages. * Unlimited PTO. * Carrot Cash travel stipend. * Access to co-working space on demand through FlexDesk AND Work-from-home stipend. * Please ask us about our very generous parental leave, much above industry standards!. * Entrepreneurial culture where pushing limits and taking risks is everyday business. * Open communication with management and company leadership. * Small, dynamic teams = massive impact. * 100% employer paid Medical, Dental and Vision coverage for employees. * Access to Disability & Life insurance. * Health Reimbursement Account (HRA). * DCA/ FSA and access to 401k plan. More about Hopper At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions – helping people travel better and save more on their trips. The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. he Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers – with 70% of its users being Gen Z and millennials. While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we’ve grown into a travel fintech provider, commerce platform, and global travel agency that powers some of the world’s largest brands. Through HTS, our B2B division, the company supercharges its partners’ direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada, and many more. Here are just a few stats that demonstrate the company’s recent growth: Billions of dollars worth of travel and travel fintech are sold through Hopper and HTS’ channels every year. Our fintech products – including Cancel for Any Reason and Flight Disruption Assistance – have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions. Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel. Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 75% of the business. Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines and many more. Hopper has been named the #1 most innovative company in travel by Fast Company Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agencies in North America and 70% of our app customers are Gen-Z and millennials travelers. Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. HTS is primed to continue its growth as the leading travel ecommerce provider in a $1 trillion online shopping category. The Hopper app and website will also continue to be the preferred travel provider for Gen Z and Millennials.. Come take off with us! #LI-REMOTE

Based in San Francisco, ___ is a rapidly growing healthcare technology and clinical services company with a mission to ensure individuals receive the safest and most effective treatments for their unique and evolving healthcare needs. Frequently, medications cause more harm than good. Incorrect drugs and doses costs the US healthcare system over $528 billion in waste, avoidable harm, and hospitalizations each year. Arine is redefining what excellent healthcare looks like by solving these issues through our software platform (SaaS). We combine cutting edge data science, machine learning, AI, and deep clinical expertise to introduce a patient-centric view to medication management, and develop and deliver personalized care plans on a massive scale for patients and their care teams. Arine is committed to improving the lives and health of complex patients that have an outsized impact on healthcare costs and have traditionally been difficult to identify and address. These patients face numerous challenges including complicated prescribing issues across multiple medications and providers, medication challenges with many chronic diseases, and patient issues with access to care. Backed by leading healthcare investors and collaborating with top healthcare organizations and providers, we deliver recommendations and facilitate clinical interventions that lead to significant, measurable health improvements for patients and cost savings for customers. Why is Arine a Great Place to Work?: Outstanding Team and Culture - Our shared mission unites and motivates us to do our best work. We have a relentless passion and commitment to the innovation required to be the market leader in medication intelligence. Making a Proven Difference in Healthcare - We are saving patient lives, and enabling individuals to experience improved health outcomes, including significant reductions in hospitalizations and cost of care. Market Opportunity - Arine is backed by leading healthcare investors and was founded to tackle one of the largest healthcare problems today. Non-optimized medications therapies which cost the US 275,000 lives and $528 billion annually. Dramatic Growth - Arine is managing more than 18 million lives across prominent health plans after only 4 years in the market, and was ranked 236 on the 2024 Inc. 5000 list and was named the 5th fastest-growing company in the AI category. The Role: The Data Engineering Lead is a pivotal hybrid role within the Data Engineering team, combining hands-on development with leadership responsibilities. This individual will lead a squad of Data Engineers to deliver high-quality, high-velocity customer data pipelines while maintaining existing ones. The Data Engineering Lead owns end-to-end delivery including project management, data quality, and timelines and is accountable for both team output and their own individual contributions. This role requires consistently high standards in both coding and execution. What You'll be Doing: • Collaborate with the Implementation and Data Analyst team to review and own DE requirement write-ups, ensuring they fully address data needs discussed in implementation calls., • Communicate timelines for deliverables to unblock Data Engineers for ETL pipeline development., • Proactively flag risks to timelines or quality to stakeholders and project managers., • Lead backlog grooming for implementation-related tickets., • Ensure team cross-coverage: both the DE Lead and assigned Data Engineer should understand the full ETL flow, with at least two additional engineers familiar at a high level., • Conduct thorough peer reviews and DE UATs after initial UAT completion., • Design and maintain data transformation pipelines using dbt, including utilizing core concepts like macros, incremental models and dbt tests, • Work with QA and CSA teams to resolve post-UAT issues and update the DE UAT checklist., • Provide technical guidance and mentorship to junior engineers, and promote best practices and coding standards., • Identify and escalate inefficiencies within and across teams., • Support project management and provide leadership to peers as needed., • Author and support high-quality technical documentation, assisting junior engineers in doing the same., • Collaborate with the DE Manager to report on DE contractor performance issues. Who You Are and What You Bring: • 6+ years of experience working with Data, • Experience leading a team of up to 3 Engineers, • Experience creating an automated ETL process using Python and DBT SQL, • Hands on experience with modern data technologies and comfortable leveraging AI coding assistants to accelerate development, improve code quality, and enhance productivity., • Experience with data processing, validation, cleaning, and debugging data sets, • Experience with building production grade ETL pipelines using dbt (including macros, incremental and Python models and testing), • A demonstrable and deep understanding of healthcare /healthcare claims data, • Experience with processing large data sets (over 10 GB), • Excellent verbal and written communication skills Remote Work Requirements: • An established private work area that ensures information privacy, • A stable high-speed internet connection for remote work, • This role is remote, but you will be required to come to on-site meetings multiple times per year. This may be in the interview process, onboarding, and team meetings Perks: Joining Arine offers you a dynamic role and the opportunity to contribute to the company's growth and shape its future. You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs. The posted range represents the expected salary for this position and does not include any other potential components of the compensation package (including bonus and equity), benefits, and perks. Ultimately, the final pay decision will consider factors such as your experience, job level, location, and other relevant job-related criteria. The salary range for this position is: $150,000-170,000/year. Job Requirements: • Ability to pass a background check, • Must live in and be eligible to work in the United States Information Security Roles and Responsibilities: All staff at Arine are expected to be part of its Information Security Management Program and undergo periodic training on Information Security Awareness and HIPAA guidelines. Each user is responsible to maintain a secure working environment and follow all policies and procedures. Upon hire, each person is assigned and must complete trainings before access is granted for their specific role within Arine. Arine is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are treated with fairness and respect. We do not discriminate on the basis of race, ethnicity, color, religion, gender, sexual orientation, age, disability, or any other legally protected status. Our hiring decisions and employment practices are based solely on qualifications, merit, and business needs. We encourage individuals from all backgrounds to apply and join us in our mission. Check our website at . This is a unique opportunity to join a growing start-up revolutionizing the healthcare industry! Job Offers: Arine uses the arine.io domain and email addresses for all official communications. If you received communication from any other domain, please consider it spam. Note to Recruitment Agencies: We appreciate your interest in finding talent for Arine, but please be advised that we do not accept unsolicited resumes from recruitment agencies. All resumes submitted to Arine without a prior written agreement in place will be considered property of Arine, and no fee will be paid in the event of a hire. Thank you for your understanding.

About Us We are a growing company that distills insights from satellite imagery and various other geospatial data sources into actionable intelligence for energy companies, financial market actors, and government agencies. We are looking for an experienced engineer to join our technical team and help shape our product trajectory. The Role We are looking for a Senior Full-Stack Engineer who embraces AI agents to supercharge their workflows. Partnering with other developers on large-scale projects, you will leverage your deep technical expertise to rapidly prototype and develop solutions across our backend and frontend systems to power our products. Key Responsibilities System Architecture: Design scalable near-real-time data streams, integrating data from multiple sources into analytics pipelines and relational databases.Data Management and Access Optimization: Improve robustness and performance of our SQL DB setup to facilitate high performance inserts of our data streams and API reads for our customersData Visualization: Ensure vast quantities of geospatial and tabular data are visually explorable in a reproducible, performant format.Accelerate Development: Utilize AI coding agents to assist in the Software Development Life Cycle (SDLC) and help establish best practices for agentic workflows.Cross-Functional Support: Work alongside software engineers and data scientists, providing programming and infrastructure support for MLOps and data science initiatives.Technical Direction: Help shape our engineering direction by implementing robust data management practices and staying current on emerging technologies in data processing.Ensure Code Quality: Refactor, profile, and optimize codebases. Implement rigorous integration testing, debugging, and deployment automation for cloud microservices. The Tech Stack Cloud: Google Cloud Platform (GCP)Backend & Data: Python (API First), PostgresFrontend & Middle-Tier: TypeScript (React) • Work Authorization: Must be a US Citizen or US Permanent Resident., • Location/Timezone: Must be located and working within Central Time (CT) or Eastern Time (ET) zones (no West Coast/Pacific Time)., • Education: BS degree in a STEM field., • Experience: 4+ years in a full-stack software engineering role, with a strong focus on data engineering., • Cloud Experience: 2+ years of hands-on experience in modern Cloud Systems (GCP, AWS, or Azure)., • Core Languages: Production-grade proficiency in Python and TypeScript., • Technical Expertise: In-depth understanding of software engineering best practices, performant frontend interfaces, relational database design/optimization, and scalable API design., • AI Workflows: Experience with (or a strong, demonstrated interest in) adapting the SDLC for AI-assisted development., • Communication: Strong communication and coordination skills tailored for a distributed team environment spanning US and UK., • Domain knowledge in the Energy, Oil & Gas sectors., • Experience with geospatial data processing tools and databases., • Familiarity with additional languages, such as Go, Rust or C#., • Compensation: Competitive salary and comprehensive benefits (medical, dental, vision)., • Growth: Opportunities for career advancement as technical team member., • Flexibility: A fully remote role within a collaborative environment, plus optional access to our Houston office., • Impact: Direct involvement in products utilized by major players in the energy sector and government.

Healthcare in the U.S. is fundamentally broken. The system is so complex that 88% of U.S. adults do not have the health literacy necessary to navigate it without help. Solace cuts through the red tape of healthcare by pairing patients with expert advocates and giving them the tools to make better decisions—and get better outcomes. We're a Series C startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, Signalfire, and IVP. Our U.S. based team is lean, mission-driven, and growing quickly. Solace isn't a place to coast. We're here to redefine healthcare—and that demands urgency, precision, and heart. If you're looking to stretch yourself, sharpen your edge, and do the best work of your life alongside a team that cares deeply, you're in the right place. We’re intense, and we like it that way. Read more in our Bloomberg funding announcement ___. At Solace, data isn't just about understanding the past; it's about predicting the future. We are a rapidly scaling startup where we work hard, move fast, and wear many hats. The Solace Data Team is looking for a Data Scientist who excels at forecasting, prediction, and machine learning to help us anticipate patient needs and optimize our operations. Reporting directly to the VP of Data, you will have the opportunity to lead high-impact projects that directly influence our strategic decision-making. In this role, you will go beyond descriptive analytics to build the predictive engines that drive our business. Whether you are forecasting operational volume, modeling patient risk, or designing rigorous A/B tests, you will bridge the gap between advanced statistics and practical business application, ensuring our models are robust, interpretable, and impactful. * Build Predictive Models: Develop and refine machine learning models to solve critical business problems, such as predicting patient churn, estimating operational volume, or scoring advocate quality. * Drive Forecasting Rigor: Own the development of time-series forecasts that guide our capacity planning and resource allocation. You will help us anticipate "what comes next" with higher accuracy. * Design & Analyze Experiments: Lead the design and analysis of A/B tests and causal inference studies. You will ensure we measure the true impact of our product and operational changes. * Uncover Deep Insights: Apply advanced statistical methods to complex datasets to find patterns that simple reporting might miss. You will answer the "why" and "how" behind our most difficult questions. * Productionize Solutions: Work closely with Data Engineers to take your models from a local notebook to a production environment, ensuring they run reliably within our data infrastructure. * Communicate Complexity: Translate complex statistical findings into clear, actionable narratives for non-technical stakeholders. You will be the voice of statistical reason in strategic discussions. * Statistical Expertise: You have a strong background in statistics, probability, and mathematics (e.g., hypothesis testing, regression analysis, time-series forecasting). * Python & ML Proficiency: You are fluent in Python and its data science ecosystem (pandas, scikit-learn, statsmodels, NumPy). You write clean, reproducible code. * Forecasting Experience: You have hands-on experience with time-series analysis and forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing). * Advanced SQL: You can write complex queries to wrangle your own data from Snowflake without relying solely on others to prepare it for you. * Preferred Masters Degree or PHD: Data Science, Applied Science, or related fields. * Data Privacy Awareness: You understand the importance of protecting patient data. You are familiar with best practices for handling PHI and PII and ensuring privacy in your analysis. * Startup DNA: You are a self-starter who is comfortable with ambiguity. You take ownership of problems and are willing to wear many hats to get the job done. * Deployment Experience: Experience using tools like Docker, Airflow, or MLflow to deploy and monitor models in production. * Healthcare Experience: Experience working with healthcare or insurance claims data is a plus. * NLP & Unstructured Data: Experience applying Natural Language Processing (NLP) techniques to extract insights from unstructured text data. * Marketplace Matching: Experience designing matching algorithms or ranking systems for two-sided marketplaces. * dbt & Engineering Skills: Comfort reading or writing dbt models to understand the lineage of your data. Applicants must be based in the United States. Up for the Challenge? We look forward to meeting you. Fraudulent Recruitment Advisory: Solace Health will NEVER request bank details or offer employment without an interview. All legitimate communications come from official solace.health emails only or ___. Report suspicious activity to or .

A Little About Us EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. EDB empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, EDB supports major government organizations, financial services, media and information technology companies. EDB’s data-driven solutions enable customers to modernize legacy systems and break data silos while leveraging enterprise-grade open source technologies. EDB delivers the confidence of up to 99.999% high availability with mission critical capabilities built in such as security, compliance controls, and observability. For more information, visit ___ Candidate Note: This position is 100% remote for candidates based in the US We are seeking an experienced Software Engineer to design, develop, and maintain our core analytics products including WarehousePG (WHPG), Postgres Analytics Accelerator (PGAA), as well as extensions, migration tools, monitoring systems, and performance optimizations for the PostgreSQL ecosystem. In this role, you will be a core contributor within the team responsible for advancing our Analytics product portfolio. You will implement new features, optimize performance, and ensure the stability of our software. What you will be doing: • Design and develop PostgreSQL database features and tools., • Review and refine code contributions from team members to ensure quality., • Write and maintain regression tests for bug fixes and new features., • Troubleshoot and resolve database, network, and software-related issues., • Work within CI/CD pipelines to ensure smooth integration and deployment. What you will bring: • 5+ years of database development experience and solid understanding of database principles., • Deep expertise in at least one of the following: C, Rust, C++ or Go systems programming., • CS fundamentals (algorithms, OS internals, data structures), • Proficiency in Linux-based software development and debugging., • Experience optimizing database system performance., • Strong problem-solving skills in database and system troubleshooting., • Excellent verbal and written communication skills. What will give you an edge: • Experience with distributed databases and MPP systems (e.g., Greenplum) and/or analytical libraries / databases (Spark, DataFusion, DuckDB), • Experience with distributed query optimizers (e.g. Orca), • Solid understanding of PostgreSQL internals., • Familiarity with machine learning libraries and techniques, • Knowledge of GitHub Actions workflows., • Prior contributions to open-source database projects. EDB is committed to supporting our employees' overall well being by offering a range of benefits and resources to promote a healthy work-life balance and wellness. We provide access to CuraLinc to aid employees in health and wellness tips and practices, as well as Wellness Fridays extending to December 2026! Check out our career site for more information on perks and benefits and reach out to our Talent Acquisition team for region specific benefits. We know it takes a unique mix of people and skills to help us in our mission to supercharge Postgres, and we understand that not everyone will check every box. We’d love to hear from you and we want you to apply! EDB is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. EDB was built on a commitment to trust and respect each other and to embrace an array of people and ideas. These values remain at the center of our culture and are key to our company’s integrity. EDB does not seek or accept unsolicited resumes or CVs from recruitment agencies. EDB and its affiliates are not responsible for, and will not pay, any fees, commissions, or any other similar payment related to unsolicited resumes or CVs except as required in a written signed agreement between EDB and the recruitment agency or party requesting payment of a fee. #LI-Remote

About Cleerly We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world’s leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly’s solutions are supported by more than a decade of performing some of the world’s largest clinical trials to identify important findings beyond symptoms that increase a person’s risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We're seeking a Senior Software Engineer to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll own the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly’s regulated products. Responsibilities • Design, build, and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms., • Design extensible system architectures and make pragmatic trade-offs that balance performance, security, and maintainability., • Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability., • Ensure high availability and observability of our services; improve alerting, logging, and incident response across the stack., • Set and uphold strong engineering standards via code reviews, technical mentorship, and design documentation., • Lead technical design reviews and system decomposition efforts across teams., • Proactively identify risks and gaps in operational or architectural resilience, and drive durable improvements., • Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation., • Design and implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards, • Contribute to the necessary technical documentation required for regulatory submissions. Requirements • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience)., • 8–12 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar)., • Demonstrable capability in designing, implementing, and securing RESTful web services, • Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes)., • Experience with AWS, GitHub, and continuous integration pipelines, • Proven track record of architecting and delivering scalable systems in production environments., • Experience mentoring engineers and raising the technical bar through reviews and design feedback., • Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability., • Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks)., • Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders. Preferred: • Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements., • Hands-on experience with Computer Vision and Deep Learning techniques used for medical image processing. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. Job duties, activities, and responsibilities are subject to change by our company. The base salary range for this role varies by location and is aligned to market benchmarks. • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Final compensation is determined based on location, experience, skills, and internal equity. This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges: • Base Salary: $153,000 - $179,000, • TTC: $176,000 - $206,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact, • T: Teamwork- together we win Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (___. All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job Description – Full Stack PHP Engineer (Mid-Level) Reports To - Engineering Manager Summary AxisCare is hiring a full-time full stack mid-level Software Engineer to join our 100% remote team. Does this sound familiar? You’re a skilled developer, and you can get the job done, but you know there’s a lot more to learn. Maybe you’ve grown tired of agency life, and you’re looking for a place to go deep to develop expertise around system architecture and software design. This is the opportunity you’ve been looking for. Here you’ll find a talented group of senior and staff engineers deeply invested in your growth. • Building small, well-defined features within a project team with mentorship from more senior team members, • Effectively managing your time to make meaningful progress and ship on time, avoiding unimportant details, • Maintaining a humble, always-a-student approach, diligently seeking out opportunities for experience and self-directed learning, and eagerly sharing what you’ve learned with others We hire great people, invest in their growth, and trust them to do great work. That means software development typically happens within autonomous project teams that are responsible for driving well-shaped projects from concept to completion. No egos here. Just a handful of humble, talented, and conscientious builders who play well with others and work as a team to ship great things. What We’re Looking For • At least 2 years' experience as a professional software engineer on teams, building web apps with the full PHP web stack, including a modern PHP framework and HTML, CSS, and JavaScript., • Experience building React-based apps written in TypeScript., • Basic understanding of ___, • Experience working with relational databases like MySQL, • Experience with a distributed version control system like Git to collaborate on software development within a team, • A good writer, which is especially important given the asynchronous and technically precise nature of our work, • A mindset of software development as a team sport, preferring team success over personal achievement, • You’re able to work remotely and live in the Eastern, Central, or Mountain time zones in the US. You must be qualified to work in the United States or Canada. What We’d Be Excited to Find • Experience building applications designed to run in a cloud-native environment (a.k.a. The Twelve-Factor App), • Familiarity building and maintaining HIPAA-compliant software., • Experience designing and building RESTful APIs, • Experience integrating with third-party APIs Working Conditions • Manual dexterity required to use desktop computer and peripherals. Compensation and Equipment • Salary (TBD based on job experience and skill level), • Medical insurance is covered in full for the employee (Medical, Dental and Vision), • Company will provide laptop and other needed computer equipment How to Apply Please apply via BambooHR with your resume. We also encourage you to submit a short video cover letter (1–2 minutes) with your application, tailored to the prompt instructions ___. This video doesn’t need to be polished. We’re most interested in how you think, collaborate, and approach building products that support real people and operational teams. We receive a high volume of applications, and submitting a video is a great way to help your application rise to the top. You can include a link (i.e. Google Drive, Dropbox, Loom, etc.) to your video in the “Website, Blog, or Portfolio” section of your application. We strongly encourage candidates from all backgrounds and every walk of life to apply. Every person on our team brings their own unique perspective, and it’s what makes our products better and our work more rewarding. We’re eager to support you so that you can ship work you’re proud of. Candidates only. No recruiters, please. About AxisCare According to Pew Research, roughly 10,000 baby boomers turn 65 every day, and the American Society on Aging calculated that an American has a 70% chance of needing help with activities of daily living such as dressing, bathing, hygiene, etc. This has led to an unprecedented increase in Home Care agencies in the U.S. and abroad who strive to help those who have difficulty helping themselves, specifically offering non-medical (also referred to as non-skilled) services to seniors in their homes. AxisCare was started in 2011 by industry leaders to help meet the demand for a more user-friendly and mobile-compatible solution. Our product is a web-based management platform that helps agencies manage CRM and marketing, Caregiver/Client scheduling, billing, payroll and much more. Headquartered in Waco, TX, AxisCare has clients in all 50 states as well as 6 other countries. We are a fast-growing company seeking high-performing individuals looking for a fast-paced, autonomous working environment.

Due to organizational growth, SysLogic is seeking an experienced Data Analytics Architect with a strong focus on Microsoft technologies to join our team. As a Data Analytics Architect, you will play a critical role in designing, implementing, and optimizing data analytics solutions for our clients leveraging Microsoft's suite of tools and technologies. The Data Analytics Architect will work closely with the Director, Delivery Experience and Application and Analytics Business Solution Advisor on a variety of topics, including solution design and architecture and project estimation. This role is technically focused and requires the ability to execute in all the stages of the data software development lifecycle. PRIMARY RESPONSIBILITIES: • Collaborate Business Analysts to translate business requirements into scalable and efficient data analytics solutions utilizing Microsoft technologies., • Exhibit in-depth knowledge and hands-on experience architecting solutions with Microsoft Fabric, Azure Synapse Analytics, Azure Data Services, Power BI, SQL Server, Azure Analysis Services, and other relevant Microsoft tools., • Develop end-to-end data analytics architectures, including data integration, data warehousing, data modeling, data visualization, and reporting, leveraging Microsoft platforms., • Review existing and data architectures to identify gaps, recognize risks, recommend improvements, and ensure alignment with enterprise standards and future scalability., • Implement data integration pipelines using Microsoft Azure Data Factory, Azure Data Lake, and other relevant tools to extract, transform, and load data from various sources into a unified data platform., • Create visually appealing and interactive dashboards, reports, and visualizations using Microsoft Power BI, enabling users to gain valuable insights from data., • Identify performance bottlenecks and implement optimizations to improve data processing, query performance, and overall system efficiency., • Partner with our Security practice to ensure data security, privacy, and compliance with relevant regulations and standards are met., • Collaborate with cross-functional teams, providing technical leadership and guidance to clients, data engineers, analysts, and other stakeholders to ensure successful project delivery., • Bachelor’s degree in computer science, Data Science, Information Systems or related field desired or applicably aligned professional experience. Master's degree in data science or analytics is a plus., • Relevant certifications: (Microsoft Azure Solutions Architect Expert, Power BI Data Analyst Associate, etc.) are a plus., • Five or more years of professional experience working as a Data Analytics Architect or a Senior Data Integration Developer (Data Engineer) with a primary focus on Microsoft technologies. Should possess a minimum of 10 years overall data related experience illustrating progressive growth of experience and competencies., • Strong verbal and written communication and collaboration skills, with the ability to effectively interact with stakeholders, at all levels, in all environments, scheduled and impromptu., • Innovative with a demonstrated curiosity to expand skills and adapt to a changing technological landscape to meet clients growing needs and challenges., • Presents and maintains a strong professional presence in interactions with all levels of the organization as well as client environments., • Superior customer service focus demonstrated ability to work closely with them to identify and resolve any potential communication or technical issues., • Ability to present and participate in requirements elicitation and brainstorming sessions with internally and externally facing teams both in ad hoc and structured environments., • Experience mentoring team members and promoting high standards in data engineering system design Technical Experience: • Proficiency in data modeling, data integration, and data visualization techniques using Microsoft technologies., • Strong problem-solving skills and ability to design scalable and efficient data analytics architectures., • Excellent understanding of data warehousing concepts, data governance, and data quality principles., • Solid knowledge of data security and compliance considerations in the context of data analytics., • Deep expertise in Microsoft data analytics technologies, including Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Power BI, SQL Server, and Azure Analysis Services., • Strong understanding of data architecture principles, including data modeling (dimensional and normalized), metadata management, and data governance., • Experience creating data architecture, recognizing risks and recommending scalable, secure, and high-performance solutions., • Proficiency in ETL/ELT development, data pipeline orchestration, and performance tuning., • Familiarity with AI/ML integration in analytics workflows using tools like Azure Machine Learning, Python, or R is a plus., • Strong background utilizing source control management tools (Azure DevOps, Git, JIRA SVN.), • Continuous exposure to delivering within development or other relevant methodologies (Scrum, Agile, KANBAN), • Familiarity with data security and compliance standards (e.g. HIPAA, GDPR, SOC2) in cloud environments beneficial. Travel Required: Position can work remotely with travel 4-6 times per year with no more than 24 days away from home per calendar year. For this remote role, we are only accepting candidates that reside in the following states: Wisconsin, Illinois, Michigan, Iowa, Ohio, Indiana, North Carolina, South Dakota, Arkansas, Florida or Arizona. Candidates may be required to travel to the SysLogic offices as part of the interview process. • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Long Term Disability, • Training & Development, • Work From Home

Job Title: Lead Software Engineer Company: Snapsheet Job Location: USA, Remote Job Type: Full-time, direct hire About Snapsheet: Snapsheet is claims technology the way it should be: purposeful, precise, and designed to deliver outcomes. Where others bolt things on, we engineer them into our core systems and processes across cloud-based claims management, virtual vehicle appraisals, and elite loss and recovery services. Trusted by over 170+ P&C Carriers, MGAs, MGUs, TPAs, and logistics companies, our open architecture is built to fit how our companies work, not the other way around. Role Overview: As a Lead Software Engineer, you will drive the technical direction and excellence of our industry-leading claims engine. Because we are a growing organization with multiple high-impact teams, your specific placement will be determined by your technical expertise and our strategic initiatives. In this role, you will be expected to contribute to architecture discussions, perform thorough code reviews, and deliver high-quality, production-ready code. We look for technical leaders who thrive in an agile, remote-first environment and are passionate about mentoring others while building purposeful technology that delivers real-world results. What you’ll get: • Remote working environment - your new commute is however long it takes to walk to your desk!, • Flexibility - empathy is ingrained in who we are and we are happy to offer a flexible PTO policy, casual dress code, and more!, • Development - Mentorship programs, 1-on-1 management, promote when ready culture, quarterly internal promotion opportunities, and goal setting sessions., • BS in Computer Science, Mathematics, Software Engineering, Computer Engineering, or a related STEM field, • 5+ years of full-stack web development experience, • At least 2 years of experience working with relational databases, • Exposure to front-end technologies and ability to contribute across the stack, • Strong debugging and problem-solving skills, • Strong technical communication skills; able to articulate complex ideas clearly, • Demonstrated experience solving scalability challenges and discussing them in depth, • Curious and proactive in understanding the systems and tools beyond surface-level frameworks, • Willingness to dive deep and gain expertise in at least one technical area, • Clear understanding of the product and business context behind their workOur tech stack:, • Frameworks: Ruby on Rails and React, • Methodology: Agile At Snapsheet, we know that growth doesn’t happen in a vacuum—it’s fueled by the right support at the right time. That’s why we’ve built a benefits experience designed to grow with you, wherever life takes you. • Choose from 2 robust medical plans through Blue Cross Blue Shield—plus, we contribute to your HSA when you enroll in our high-deductible health plan., • Offer two dental plans and one vision plan to keep you and your family healthy., • Peace of mind with company-paid Short Term Disability, Long Term Disability, and Life Insurance., • Additional protection through voluntary benefits like Accident Insurance, Hospital Indemnity, Critical Illness, and Legal Assistance., • 401(k) with a 4% company match—because your future is worth investing in., • Employee Assistance Program (EAP) with 6 sessions per life incident to support your mental well-being.Perks That Make Growing Here Even Better:, • Flexible PTO and 7.5 company-observed holidays to recharge on your terms., • In-person connection points throughout the year including our annual Summit and Roadshows., • Snapsheet SWAG and surprise mailers to keep the spirit alive., • Endless opportunity to shape your path—career growth, learning, and real impact are all within reach. For this position, the base salary range is $160,000 - $185,000. While this range serves as a guideline, your actual compensation will reflect your unique experience, skill set, and location. At Snapsheet, we believe growth should be rewarded—our compensation and benefits are built to evolve with you as your career does. We are not currently accepting applications for candidates who reside in New York or California. *Please note that we are unable to sponsor applicants for work visas for this position at this time. Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply for jobs unless they meet every single qualification. At Snapsheet, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. Snapsheet is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need assistance or accommodations, please let us know by emailing ___. Snapsheet is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. #BI-Remote #LI-Remote Snapsheet is an equal opportunity employer.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: As a SLED Sr. Solutions Architect at Elastic you will serve as a technical authority and trusted advisor to our sales team, customers, partners and community. You will understand and solve our customer's business issues with the Elastic Stack, engage the regional Elastic community through events and programs, and enable sales through our Partners. A successful SA at Elastic will be focused on excellence; taking the initiative to improve both themselves and the team through continuous learning and questioning the status quo. What You Will Be Doing: • Serving as the technical point of contact for your accounts and account managers in your assigned territory., • Building a comprehensive understanding of customers' goals and objectives, and articulating how our offerings address their needs., • Creating and owning value-based relationships at all levels in customer organizations., • Actively participating in all phases of planning and execution for your territory, from initial discovery to the technical win., • Developing and maintaining a deep understanding of the Elastic products and solutions to demonstrate the value of our offerings in sales meetings, and at events such as meetups and conferences., • Advising the sales team on effective ways of positioning Elastic products, solutions and services., • Onboarding, educating and enabling our partners, and supporting them in sales cycles., • Crafting collateral, contributing to programs and collaborating with other Elasticians to meet individual client needs., • Being the voice of the customer and community to communicate needs, gaps, and improvements to our engineering and leadership teams., • Deepening both your sales and technical skills through education while taking advantage of all the professional development opportunities provided by Elastic. What You Bring: • 6+ years of experience in specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)., • Implementation experience with SaaS platforms using web technologies (TCP/IP, HTTP, HTML, JavaScript, RESTful APIs), particularly cloud-based, high-performance solutions., • A track record of success in a technical presales role-enough experience selling and implementing technology to earn your customer's trust., • A demonstrable ability to articulate and sell the benefits of modern platforms, software and technologies., • A real passion for being curious and a continuous learner. You are someone that invests in yourself as much as you invest in your professional relationships., • A history of successful customer relations where you developed an understanding of what made a difference, and devised architectures that helped meet a goal, tackle a problem, or outpace competitors., • An ability to influence. Have you more than once convinced a team you worked for, of an idea, technology, or architectural pattern?, • The ability to inspire groups, both large and small., • A willingness to travel 40% within region, as well as occasionally internationally., • Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field AND 3+ years of proven experience in technology solutions, practice development, architecture, consulting, and/or cloud/infrastructure technologies., • Professional experience in architecting/operating solutions built on one or more cloud service providers like AWS, Azure, or GCP., • Experience with cloud solutions, virtual platforms, software development, and operational management practices., • US CITIZENSHIP REQUIRED Additional Information - We Take Care of Our People: As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do. • Competitive pay based on the work you do here and not your previous salary, • Health coverage for you and your family in many locations, • Ability to craft your calendar with flexible locations and schedules for many roles, • Generous number of vacation days each year, • Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service, • Up to 40 hours each year to use toward volunteer projects you love, • Embracing parenthood with a minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email ___. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws and can view the following posters linked below: Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see ___ for our Privacy Statement. Compensation for this role is in the form of base salary plus a variable component, that together comprise the On-Target Earnings (OTE). On-Target Earnings (OTE) are based on a 70/30 pay mix (base salary / target variable). The typical starting OTE range for new hires in this role is listed below. This range represents the lowest to highest OTE we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's position within the OTE range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $107,500-$170,100 USD The typical starting Target Variable range for this role is: $46,000-$72,800 USD The typical starting On-Target Earnings (OTE) range for this role is: $153,500-$242,900 USD #LI-AM2

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: • Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities., • Design and experiment new approaches to preference optimization., • Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness., • Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field., • Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning., • Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning., • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale's Generative AI business is continuing to see tremendous growth and expansion. Engagement Managers (EMs) are the combination of externally customer-facing and internally operationally driven. In this role, you will operate at the center of Scale's most strategic customer relationships, serving as both a trusted operator and thought partner to the world's leading AI research teams. You are the frontline of Scale's contact with our Gen AI customers, working with and being an advocate for customer data leaders and engineering/operations teams. You have a strong interest in how high-quality data can positively influence Gen AI models. You work towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver. The ideal candidate builds deep relationships with researchers and customer leads, navigates difficult conversations with confidence, and has a track record of earning new work through the quality of their execution and relationships. They are naturally empathetic and excel at building long-term relationships through diligent problem solving and thoughtful, strategic discussions. • Own a portfolio of complex, strategic projects with full accountability for delivery, quality, customer sentiment, and commercial outcomes, • Build and maintain deep, trust-based relationships with customer researchers and leads, serving as a thought partner throughout the project lifecycle, • Navigate difficult customer conversations around pricing, quality, and delivery expectations with confidence and clarity, • Identify and develop expansion opportunities through close customer engagement and a strong track record of execution, • 5+ years of work experience, with experience in consulting or as a technical product or program management role, • A proven track record in B2B client-facing roles, including building and expanding relationships and navigating complex customer dynamics, • Ability to understand the ML training lifecycle and discuss use cases meaningfully with technical customers, • A technical background (education or professional experience with CS, Engineering, Economics, Statistics, or another STEM field), • Graduate degree (PhD, MS) or research experience in a STEM field, • Experience at a frontier lab or company developing foundational models, or in a technical role at a high-growth AI company About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

SSI (U.S.) Inc. d/b/a Spencer Stuart Spencer Stuart is an equal opportunity and affirmative action employer F/M/Disability/Vet/Sexual Orientation/Gender Identity. Location: New York Full/Part Time: Full time Req ID: R4644 ASSOCIATE ROLE Spencer Stuart is seeking to recruit an Associate for the Marketing, Sales & Communications Officer (MSC) Practice. This Associate will focus on Chief Communications Officer and Chief Investor Relations Officer searches across industries, while working in partnership with several core Consultants. With exposure to a broad set of clients and leadership challenges, this Associate will help to identify and develop diverse candidate slates as an essential member of the search team. The Associate role combines research, assessment, and relationship-building skills to deliver extraordinary service and value to Spencer Stuart clients. Successful candidates for the Associate position will have strong project management ability, writing skills, results orientation, rigorous attention to details, intellectual curiosity and ideally, an understanding of corporate communications and/or investor relations. The Associate will enjoy the challenge of working internally with a variety of Consultants and externally with diverse, senior-level executives and board members. Associates will be expected to acquire deep and insightful candidate pool knowledge over time. The Associate will ideally be based in New York City. There is an expectation of being in the office a minimum of two days a week. In the early stages, it will be beneficial for the individual to spend more time in the office to build relationships, engage with colleagues and participate in the local office community. KEY RELATIONSHIPS Reports to: Marketing, Sales & Communications Officer Practice Leader Consultants (on an assignment basis) Other key Associate Practice Leader Relationships: Market Leader Analysts, Associates, Senior Associates, and Consultants EEA's Human Resources Business Partner (HRBP) KEY RESPONSIBILITIES • Contribute actively to the start-up phase of each search by participating in client kick-off meetings with the Consultant and assisting in the development of the position specification, search strategy and target list of companies., • Gather relevant information regarding the appropriate industries and target companies. Identify potential prospects and sources and represent the client effectively in the marketplace, discussing the opportunity with relevant executives., • Validate potential candidates through reference and source calls., • Partner with the Consultant to develop and present a slate of qualified candidates to each client. Anticipate what needs to drive the search to closure and be prepared to supply additional information, such as related industry/segment trends, market findings, reaction to the opportunity, compensation data, etc., gained during the course of a search., • Contribute to the preparation of position specifications, candidate presentations and reference reports adhering to the Firm's assessment methodology., • Communicate effectively with the Consultant and Executive Assistant, and remain fully abreast of search developments, in order to communicate accurately and credibly regarding the assignment., • Prepare organized information for the client progress reports/meetings by teaming with the Consultant and the Executive Assistant. Provide an informed perspective on prospects/candidates and how they match against the key selection criteria., • Be aware of activities and management changes in the relevant industry's sector; keep team members apprised of relevant developments in the marketplace., • Add to the firm's candidate pool expertise by continually identifying and introducing new talent to the firm. Ensure that up to date assignment, company and candidate information during the course of an assignment is always available for colleagues, by leveraging technology and information from the firm's state-of-the-art, proprietary database., • Contribute to responses to inquiries for new business, as well as business development initiatives., • Be willing and proactive about contributing to local, practice or firm-wide initiatives. Coordinate and share practice related information with colleagues for potentially broader distribution. IDEAL EXPERIENCE • 3+ years of progressive business experience in executive search, recruiting, talent acquisition, strategy consulting, or a relevant professional services environment, with significant time spent in client service. Spencer Stuart experience preferred., • Advancement of skills and knowledge evidenced through promotion or tenure, • Superior project management skills demonstrated through experience working in a high-performance environment where multiple projects and competing demands are the norm, • Excellent communication skills shown through clear, structured and concise written and verbal presentation, • Undergraduate degree required; postgraduate degree a plus CRITICAL LEADERSHIP CAPABILITIES Project Management Plans, manages and drives own efforts to identify and develop a slate of quality candidates as measured by consultant, client and candidate feedback. The successful Associate will do this while handling multiple projects with competing deadlines, working with individuals who have differing styles, and managing challenging expectations: • Takes an end-to-end view of each project and the required resources; works at pace and with attention to detail while managing competing deadlines and priorities; has a sense of urgency., • Understands the search process (from internal kick-off to referencing); asks questions to understand; and is proactive., • Works on multiple projects; meets deadlines and is resilient under pressure; delivers on commitments on time or notifies as early as possible if deadlines will slip., • Demonstrates enthusiasm, tenacity and intellectual curiosity; action-oriented; deals with problems immediately., • Demonstrates a strong work ethic, with a results-focused and flexible approach to project management. Candidate Development Develops qualified and interested candidates for portfolio of searches. A successful Associate will develop excellence in search strategy to build strong contact management lists: • Observes and asks questions to fully understand the issue; synthesizes information from a variety of internal/external sources, despite possibly having ambiguous or incomplete information., • Gathers relevant data from a variety of sources, including views gathered through Third Party Sourcing (TPS), to help determine broad capabilities, gaps, qualifications/fit; articulates reasons for fit to spec in a succinct manner., • Determines priority of which potential candidates to approach., • Adds meaningful notes on Quest, diligently uses the initial assessment feature. Credibility and Influence Communicates effectively both in writing and verbally; has "gravitas" (executive presence) and is able to build relationships. Able to hook candidates and convince consultants to meet them, building a strong internal brand: • Interacts with a range of internal and external stakeholders and candidates with differing styles and egos, understanding and appreciating what is important to each., • Becomes a credible and authentic professional by observing colleagues and emulating role models., • Adapts verbal and written communications according to expectations for role and audience, specifically how to be confident, succinct, concise, prepared and professional. Market and Candidate Knowledge Obtains and incorporates knowledge to enhance client work in a meaningful way. Knows how to get information, effectively uses the available firm resources, developing and sharing candidate pool knowledge: • Identifies executive movements in the market and updates Quest (ideally in real time) and colleagues; asks questions and shows interest in networking., • Has a genuine interest in/curiosity about people and businesses; and has an understanding of businesses and their interrelationships., • Understands how to identify and navigate the various relevant sources available (Quest, Passport, Global Information Services, Hoovers, LinkedIn, etc.). Developing Self and Others Develops self and others; seeks and provides feedback, modifies own performance or behavior based on feedback. A successful Associate is constantly growing, learning and enhancing his/her skills and capabilities: • Seeks and is open to feedback from colleagues, placing value on self development efforts; seeks opportunities for growth., • Is self-aware and open to changing one's own behavior. Firm Values Champions the Firm's values, culture and Code of Conduct; engages, participates and collaborates with others. A successful Associate, who people like working with and who may over time also have a leadership role: • Accepts others' opinions and encourages teamwork., • Brings cultural awareness and sensitivity to each interaction with colleagues., • Participates actively and contributes to internal activities; engages with office and practice., • Represents Spencer Stuart well by speaking positively about the Firm and aligning behavior to Firm values., • Conducts themselves in a way that is consistent with the Firm's values. The base compensation range for this position is $100,000-130,000 per year. The actual base compensation offered within this range will be dependent on the individual's skills, experiences, and qualifications. This position will be eligible to participate in our annual discretionary bonus program. Spencer Stuart also offers a competitive benefits package, which includes: • Retirement savings plan with discretionary profit sharing contribution and employer match;, • PTO (minimum 15 days per year, increases with tenure), paid sick time (10 days per year), company holidays (12 days per year), and paid leaves of absence when applicable;, • Comprehensive health benefits, including medical, dental, and vision insurance, and healthcare flexible spending account;, • Life Insurance, and short-term and long-term disability insurance;, • Wellness benefits, including an employee assistance program, virtual mental health program, and mindfulness program; and Please see job description PI284284702 Job distributed by ___.

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

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

The Enterprise Account Executive (Healthcare & Life Sciences) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI's most strategic healthcare and life sciences customers. This role is focused on selling complex, agentic AI solutions - autonomous workflows powered by LLMs and human-in-the-loop systems - into health systems, payers, pharma, biotech, and digital health organizations. You will act as a strategic partner to clinical, operational, and technical leaders - helping them transform core workflows such as clinical documentation, prior authorization, revenue cycle, pharmacovigilance, clinical trials, medical affairs, and patient engagement through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, strong executive presence, and the ability to navigate regulatory, compliance, and multi-stakeholder complexity. You will own the full customer lifecycle - from origination through close, deployment, and expansion - while quarterbacking cross-functional teams across Solutions Engineering, Product, Research, and Delivery to land and scale high-impact AI programs. • Own and expand relationships with leading healthcare and life sciences organizations (providers, payers, pharma, biotech), focusing on multi-year, strategic AI initiatives, • Sell agentic AI solutions by mapping Scale's capabilities to high-impact workflows (e.g., clinical documentation, prior auth, revenue cycle, patient ops, clinical trials, drug safety, medical review), • Build trusted relationships with executive stakeholders (CIO, CTO, CMIO, Chief Data/AI Officer, Heads of Clinical Ops, R&D, Commercial), • Develop and execute multi-threaded account strategies that drive net-new revenue, expansion, and long-term platform adoption, • Lead complex deal cycles, including ROI modeling, business case development, and mutual close plans across new business, renewals, and expansions, • Partner closely with Solutions Engineering to design and land technically credible pilots, POVs, and production deployments, • Navigate healthcare-specific regulatory and compliance requirements (e.g., HIPAA, GxP, data governance, auditability) throughout the sales process, • Act as the voice of the customer internally - informing product roadmap, agent design, and vertical-specific solutions, • Maintain strong pipeline discipline, forecasting accuracy, and deal hygiene using Salesforce, Clari, and related tools, • Operate effectively in a fast-paced, cross-functional environment with high ownership and attention to detail, • 8-12+ years of enterprise sales experience, with significant focus on healthcare or life sciences (providers, payers, pharma, biotech, or digital health), • Proven track record of closing and expanding large, complex, multi-million dollar deals in regulated environments, • Experience selling AI/ML, data platforms, or workflow automation technologies, with the ability to position agentic / LLM-driven solutions to both technical and non-technical stakeholders, • Strong understanding of key healthcare/life sciences workflows (e.g., clinical operations, revenue cycle, patient engagement, R&D, clinical trials, pharmacovigilance), • Demonstrated success engaging executive stakeholders and building compelling ROI-driven business cases, • Familiarity with regulatory and compliance considerations (e.g., HIPAA, FDA/GxP, data privacy, model governance), • Strong command of enterprise sales fundamentals, including account planning, multi-threading, and forecasting discipline, • Ability to navigate long, complex sales cycles with multiple stakeholders and competing priorities, • Excellent communication, storytelling, and executive presence, • High degree of ownership, intellectual curiosity, and a consultative, customer-first mindset, • Experience selling agentic AI, LLM platforms, or automation solutions into healthcare or life sciences, • Background working with clinical, regulatory, or data organizations, • Familiarity with EHR systems, clinical data, or real-world evidence platforms About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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

Posting Type Remote/Hybrid Job Overview Relativity is aprivate equity-backed, legal data intelligence Software as a Service leadertrusted by legal teams, governments, and enterprises around the world. Our platform powers investigations, litigation, and compliance for some of the most complex data challenges. By combining advanced AI, powerful analytics, and cloud-based technology, we help teams make sense of massive volumes of information and move critical work forward faster and more accurately. With a culture that values curiosity, collaboration, and continuous learning, this is your chance to join a company that combines thestability of an established leaderwith theenergy of a startup. Job Description and Requirements What We Do At Relativity, engineersdon'tjust write code-they shape how industries uncover critical insights, ensure compliance, advance access to justice and continuously evolve our platform using the latest technologies, including cloud-native architectures, AI capabilities, and modern developer tooling. Our AI powers privacy programs,identifiesconfidential information, and detects languageindicatingmisconduct.We'rereimagining how legal professionals uncover truth at scale, and engineering is at the heart of that transformation. We are looking for a Principal Engineer to help define and build our next generation of cloud-native platform systems.This person willhelp shape our strategy for how we support internal and external customers'integration needs in a cloud-native, multi-tenant environment. Ifyou'repassionate about solving hard problems, designing for scale, and building tools that matter-while working in a culture that values transparency, innovation, and shared success- Relativity offers the opportunity to make a measurable difference in the marketplace. WhatYou'llDo * Deliver critical business value by solving complex problems that span teams and organizations. * Design and build architecture that is flexible, performant, and efficient to the needs of the business. * Prioritize capabilities over features, plan for change and abstract complexity away from dependent teams. * Partner with fellow leaders toidentifyproblems and align on their nature; solve these problems withelegant,scalablesolutions. * Be respected as a technical leader of your domain,demonstratingdeepexpertise,collaboration,andstrong business acumenwhileembodyingengineering excellence. * Set enterprise standards for system flexibility, maintainability, security, testability,andreliability;work with teams to implement them. * Influence and align engineering execution with company-level strategywhile shapingexecutive-level product and platform decisions. * Collaborate daily with a diverse group of teammates and product partners to solve problems & deliver value. Mentor engineers,leaders,and executives. * Be an awesome teammate whodemonstratescuriosity and continuous learningwhileshapingeengineering culture atscale. WhatWe'reLooking For Required * 12+ years of experienceowning,buildingandshaping large-scale, cloud-native platforms. * Experience defining organization-wide technical standards. * Deep involvement in security, compliance, and reliability strategy. * Ability to align technical vision with company-level strategy. * Proven influence at senior and executive levels. * Exceptional mentorship, communication, and strategic thinking skills. Nice to Have * Background in legal tech, AI-enabled platforms, or regulated domains. * External thought leadership or industry contribution. * Familiarity with AI development tools like GitHub Copilot, Cursor or Claude Code. * Experience working in global or highly distributed organizations. WhyWe'reAGreatFit forYou * Impactful Mission:Organize Data, Discover theTruthand Act on It -Our customers include Fortune 500 enterprises and leading law firms managing high-stakes matters on our platform. * Growth Path:Engineers gain exposure across the stack, from distributed systems to AI-enabled workflows, accelerating career growth. * Engineering Culture:Continuous delivery, strong observability, and end-to-end ownership. * Inclusive Environment: Diverse backgrounds and perspectives make us stronger. * Community Impact:Volunteer opportunities and company-sponsored charitable programs. * Compensation & Benefits:Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, two annualcompany breaks,home office stipend, and an equity program. When you join Relativity,you'renot just taking a job-you'recontributing to a mission that matters.You'llwork alongside talented professionals across the globe, and tackle complex challenges at scale. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $210,000 and $314,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Agile Methodology, Algorithms, Automation, Distributed Systems, Mentorship, Problem Solving, Software Architectures, Strategic Planning, System Designs, Technical Leadership

Role: Scale is at the forefront of the AI revolution, working across the US government, partners and allies around the world to unlock the potential of generative AI (GenAI). We are seeking a product leader to join our team and play a pivotal role in building Agentic AI platforms to support national-level decisions, including for some of the nation's most important national security challenges. The ideal candidate will have a strong understanding of product leadership, software engineering principles practices and deep experience with ML/AI application development, coupled with proven experience in managing complex projects with multiple stakeholder or AI-related projects within a government or highly regulated setting, emphasizing ethical AI deployment and robust risk management practices. This role requires a strategic leader adept at navigating the complexities of government GenAI projects, ensuring Scale's public sector AI solution aligns with agency objectives and adheres to stringent security and compliance mandates. The product manager will be responsible for the entire lifecycle of the generative AI platform, including product design, cross-program execution, capability prioritization, stakeholder engagement with various government entities, defining and managing engineering scope, developing detailed project plans, and overseeing resource allocation and budget management. A key focus will be on ensuring that Scale's public sector AI solution operates securely within controlled network environments, and is configured properly to support government workflows, specifically those that relate to national defense. Some examples of GenAI applications we build are: • Agentic warfare and scenario planning, • Indications and warnings integration for the protection of critical continental level assets, • Deep research capability that can help evaluate thousands of pages of classified information, • Report generation for multiple customized report templates, • Develop enterprise grade solutions that leverage cutting edge AI and AI agents to drive value for public sector customers, • Work with executives at Scale and our customers to determine and execute the product strategy of the business., • Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches, • Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance., • Develop a point of view and execute on turning the solutions we build into scalable software that we can commercialize across the industry, • Technical degree in computer science, engineering, or equivalent experience, • 4+ years of experience in building ML-powered and / or enterprise-facing products, • Strong understanding of generative AI technologies and their applications in public or large-scale private sector settings, • Experience operating in a fast-paced environment with high ambiguity, • Exceptional leadership, presentation, and communication skills with the ability to influence cross-functional teams, • Data literacy and experience with data analytics, • Prior military or government experience, • Experience building infrastructure and tooling to develop and support agentic applications., • Experience working in startup environments building solutions for public sector / federal customers., • Understanding of public / federal networks, infrastructure, and deployment constraints. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: * Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. * A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). * At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. * Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: * Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. * Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. * Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. * Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. * Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Role Overview: The Cloud Architect will design, implement, and optimize the company's multi-cloud infrastructure, spanning Azure, AWS, and GCP clouds. The role will help lead the development of firm's cloud strategy, ensuring scalability, security, resiliency, and cost-effectiveness across the organization's cloud systems. The role will work closely with cloud engineers within the Cloud Engineering & Operations and Network Operations departments, as well as supporting stakeholders across various departments to lead cloud adoption, enhance cloud maturity, improve performance, implement best practices, and drive cloud-based innovation. The Cloud Architect will ensure that Cornerstone's cloud capabilities align with business needs and will scale to meet future growth. At Cornerstone Research, you will be part of a thriving, 1,000-strong team that spans nine offices, comprises more than 55 nationalities, and leads the industry in its commitment to develop team members across all levels. Inc. Magazine has recognized Cornerstone Research three times as a Best Workplace for its outstanding employee engagement, collaborative culture, and professional growth opportunities. You'll Love It Here If You: * Embrace learning and continuous improvement * Set and strive for a high bar of excellence * Believe that teamwork leads to success: ask us what it means to be #onefirmfirm! * Take pride in always doing your best work, even if it's harder or takes longer * Are passionate about what you do How You'll Help Our Team Succeed: • Provides strategic and technical oversight in developing, managing, and optimizing multi-cloud environments (Azure, AWS, GCP)., • Designs and implements automation tools for efficient cloud service deployment to meet business demands., • Leads cloud architecture and governance initiatives, ensuring security, scalability, and compliance across all platforms., • Manages and optimizes cloud costs, ensuring efficient use of resources and reducing operational expenses., • Implements and maintains secure cloud connectivity solutions (AWS Direct Connect, Azure Express Route, GCP Interconnect)., • Oversees cloud security frameworks, auditing accounts, permissions, and access rights to mitigate risks and ensure compliance., • Collaborates with IT teams to integrate cloud solutions with on-premises infrastructure that drives innovation., • Ensures resiliency by managing critical disaster recovery and response plans for cloud outages, security events, and incidents., • Provides leadership and mentorship to cloud engineers, ensuring adherence to cloud best practices., • Maintains comprehensive documentation, disaster recovery plans, and performs ongoing gap analysis to optimize cloud performance., • Creates and maintains cloud architecture diagrams. What You'll Need to Be Successful: • 10+ years of experience in cloud architecture, infrastructure design with proven expertise in multi-cloud environments (Azure, AWS, GCP)., • Experience in designing and leading cloud solutions and architecture at scale, including migrations, integrations, and strategic cloud management., • Extensive experience with multi-cloud management and architecture strategies, including advanced cloud services (IaaS, PaaS, SaaS), hybrid cloud solutions, and cloud-native application development., • Expertise in designing and implementing cloud automation and orchestration tools (e.g., Terraform, AWS CloudFormation, Azure Resource Manager)., • Strong experience in cloud cost optimization and management, including forecasting, budgeting, and cost-saving initiatives across multiple cloud platforms., • Deep understanding of cloud security best practices and SOC 2 compliance standards and experience with implementing security frameworks across cloud tenants., • Expertise in disaster recovery planning and designing high-availability, fault-tolerant architectures in cloud environments., • Advanced knowledge of cloud networking, including secure connectivity solutions (AWS Direct Connect, Azure Express Route, GCP Interconnect)., • UNIX/Linux experience required, with advanced server administration and automation skills., • Leadership experience in mentoring teams and managing cross-functional collaboration across IT, engineering, and security teams., • Bachelor's Degree in Information Technology, Computer Science, or related field; or equivalent combination of education, skills and experience., • Cloud Professional Certification required (e.g., AWS Certified Solutions Architect - Professional, Google Cloud Professional Cloud Architect, Azure Solutions Architect Expert). Other IT certifications (e.g., CISSP, CompTIA Cloud+) are a plus. Cornerstone Research is offering a competitive market base salary for this position. The base salary range represents the low and high end of the salary range for this position in all eligible locations. This range may differ based on your geographic location and cost of living considerations. At Cornerstone Research, we believe compensation is more than just a base salary. We offer a competitive total compensation package that includes an annual performance bonus and comprehensive benefits such as flexible options for healthcare, paid time off, and retirement savings. Relocation assistance is not offered for this position. Chicago: $133,900 - $163,500 Boston: $140,300 - $171,300 Washington, DC: $137,500 - $167,900 Los Angeles: $140,700 - $171,900 New York: $143,300 - $174,900 San Francisco: $153,600 - $187,700 We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. Who We Are: Cornerstone Research provides economic and financial analysis and expert testimony in all phases of commercial litigation and regulatory proceedings. We work with a broad network of testifying experts, including leaders from academia and industry, who are recognized for their depth of knowledge, accomplishments, and research. Our staff consultants contribute expertise in economics, finance, accounting, and marketing, as well as business acumen, familiarity with the litigation process, and a commitment to produce outstanding results. We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. The firm's uniquely collegial, supportive atmosphere makes Cornerstone Research a great place to work. We invest in our people in a host of ways, from providing meaningful learning and development opportunities to organizing memorable social events. To many, our culture and our people are the most exciting, enriching aspects of a Cornerstone Research career. Equal Employment Opportunity: Cornerstone Research provides Equal Employment Opportunities to all employees and applicants for employment without regard to legally protected categories, such as age, sex, gender, gender identity, race, color, creed/religious belief, medical condition, predisposing genetic characteristics or genetic information or testing, disability, marital status, pregnancy status, military status, veteran status, arrest or conviction record (except where permitted by law), sexual orientation, ethnic background, citizen status, ancestry, national origin, or any other consideration protected by federal, state or local law.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts, • Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 5+ years of software engineering experience with 2+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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

General Job Title: Head of Cyber Platform Partnerships - US Cyber Risks Division: Cyber Risks Reports To: As per Beazley's organisation chart Key Relationships: Brokers, Wholesalers, Underwriters, Claims staff, Beazley Security, Beazley Distribution, and Clients Job Summary: Play a pivotal role in overseeing the end-to-end delivery of cyber insurance solutions for our SME clients. Strong blend of underwriting, distribution and client engagement, and operational leadership skills. Deep understanding of cyber insurance products, processes, and SME market needs. Key Responsibilities: Planning, Execution & Delivery • Lead the planning, execution, and delivery of cyber insurance solutions for SME clients, ensuring alignment with business objectives and client needs., • Support the Head of Global Cyber Digital risks in the execution and delivery of Beazley's Sub250 Cyber Digital strategy, to drive growth, strategy, and automation in the sub250M cyber market, with a particular focus on the US geography., • Work with the US Cyber Risks Leadership Team, the Head of Global Cyber Digital Risks, and Partner Engagement to develop and execute on business and growth strategies for the Sub250M space; drive engagement with brokers and identify opportunities for continued growth and innovation by sourcing and developing new relationships and opportunities for growth., • Manage and track performance using frameworks for reporting, quarterly reviews and deliverables necessary to ensure success., • Analyse trading data across Beazley's trading platforms (email, portal, API) to generate actionable insights to drive the business forward. Assist with managing and driving e-trading (portal and API) strategy, including broker experience, to achieve efficiencies and drive profitable growth., • Develop and maintain a deep understanding of Beazley's underwriting processes and guidelines, as well as technology capabilities, to develop solutions (working with internal and external stakeholders) that both meet our distribution partners needs and maintain underwriting integrity. Distribution Management • Drive growth and distribution in the sub250M space, including enablement of API and e-trading distribution and relationships., • Develop and maintain knowledge of the competitive landscape in the Sub250M cyber market segment., • Coordinate with Cyber Risks, Beazley Marketing and Partner Engagement to develop and deliver a consistent go to market approach. Underwriting • Work closely with the underwriting management and the wordings team to suggest appropriate changes to the existing cyber insurance offerings to help create new, innovative solutions to meet the evolving needs of the market and maximise sales and profitability, • Structure tailor-made solutions by considering the team underwriting parameters and guidelines; and using underwriting knowledge and experience to win new business and increase retention of existing business Marketing & Customer Journey • Work closely with internal stakeholders (including Underwriting, Claims, Digital Operations and IT) and external partners (including brokers) to ensure smooth and efficient delivery of insurance products and services., • Work with Beazley's marketing team to develop educational and marketing materials to support the sub250 customer base, including agency and broker distribution partners as well as Insureds., • Ensure appropriate marketing materials are in place to support trading relationships, including API and platform trading so that Beazley is "showing" up as intended regardless of trading channel., • Provide support as needed to other stakeholders as relates client experience and customer touch points to help insureds understand and improve on their risk posture. General It is important that within all your interactions both internally and externally you adhere to Beazley's core values - Being Bold, Striving for Better, and Doing the Right Thing - as they contribute to an internal environment of teamwork and promote a positive brand image and experience to our external customers. We also expect Beazley employees to: • Comply with Beazley procedures, policies and regulations including the code of conduct, which incorporates the PRA and FCA Conduct., • Undertake training on Beazley policies and procedures as delivered by your line manager, the Culture & People or assurance teams (compliance, risk, internal audit) either directly, via e-learning or the learning management system., • Display business ethics that uphold the interests of all our customers., • Ensure all interactions with customers are focused on delivering a fair outcome, including having the right products for their needs., • Comply with any specific responsibilities necessary for your role as outlined by your line manager, the Culture & People or assurance teams (compliance, risk, internal audit) and ensure you keep up to date with developments in these areas. This may include, amongst others, Beazley's underwriting control standards, Beazley's claims control standards, other Beazley standards and customer relationship management., • Carry out additional responsibilities as individually notified, either through your objectives or through the learning management system. These may include membership of any Beazley committees or working groups. Personal Specification: Education & Qualifications • 10+ years underwriting experience, preferably in cyber, • Insurance professional designations or advanced degree a plus Skills & Abilities • Able to communicate effectively with others, both verbally and in writing, • Strong analytical skills with attention to detail, • Ability to manage time, meet deadlines and prioritise, • Motivational skills, team worker as well as able to work on own initiative, • General commercial and financial knowledge, including knowledge of financial management for the insurance business Knowledge & Experience • Extensive experience of Cyber Risks underwriting, • Thorough knowledge of underwriting policy, philosophy and practice, • Advanced knowledge of underwriting processes and systems, • Client and broker service experience in the SME segment Aptitude & Disposition • Results focused, self-motivated, flexible and enthusiastic, • Professional approach to interact successfully with managers/colleagues/external suppliers Competencies • Achievement drive, • Analytical thinking, • Strategic thinking, • Service focus, • Team working, • Developing people, • Team leadership, • Conceptual thinking, • The opportunity to connect and build long-lasting professional relationships while advancing your career with a growing, dynamic organization, • Attractive base compensation and discretionary performance related annual bonus, • Competitively priced medical, dental and vision insurance, • Company paid life, and short- and long-term disability insurance, • 401(k) plan with 5% company match and immediate vesting, • 22 days annual PTO (full-time, prorated for 1st calendar year of employment), plus paid public holidays with the ability to flex the religious bank holidays to suit your religious beliefs. Additional PTO purchase is available up to a maximum of 5 days per calendar year., • Up to $700 reimbursement towards home office setup, • Free in-office lunch, travel reimbursement for travel to office, and monthly lifestyle allowance in support of your wellbeing, • The opportunity to save for, and purchase, shares of Beazley stock, • Six months fully paid parental leave, regardless of how you come to parenthood, • Company paid sabbatical up to 12 weeks after 10 years of continued service, • Support with exam/study leave and fees for relevant qualifications related to furthering education, • Up to 2.5 days matched paid leave for volunteering at a charity of your choice and 5 days paid leave to provide or arrange care for a dependent with a long term care need annually, • Smart working policy and flexible working culture, trusting our employees to do what works best for them, their role and the needs of the business Salary for this role will be tailored to the successful individual's location and experience. The expected compensation range for this position is $175k- $225k per year plus discretionary annual bonus. You will be able to discuss your salary expectations should you be contacted about this role. Don't meet all the requirements? At Beazley we're committed to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every requirement and qualification in the job specification, we encourage you to apply anyway. You might just be the right candidate for this, or one of our other roles.

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

Scale AI is leading the AI revolution, developing reliable AI applications for the world's most important decisions. For the Public Sector, we translate this mission into operational advantage for our government customers. We are looking for a technical, high-horsepower Product Manager to lead the evolution of the Public Sector Data Engine. This team believes that the data engine, capable of producing "n" models, is more important than any single model. This role is focused on building tools that can measure and improve the computer vision and generative AI models at the heart of critical national security systems. You won't just be managing a roadmap; you will be building the ML Ops infrastructure that allows the government to spin the ML Ops flywheel to develop reliable AI. This work will span both Computer Vision and Generative AI. This is a hybrid role for a PM who loves the "why" as much as the "how." You will sit at the center of our transition from a data labeling leader to a full-stack AI partner. You will architect the vision for our ML Ops tooling, building a seamless "foundational engine" that supports data management, curation, model development, and model evaluation for internal and external Machine Learning Teams. You'll be expected to guide engineering teams through design challenges, system integrations, and the technical scaffolding required for state-of-the-art model testing. • Architect the AI Engine: Drive the roadmap for Public Sector ML Ops tools, ensuring they serve as the "ground truth" foundation for building, evaluating, and deploying AI systems., • Bridge Custom & Scale: Support diverse customer profiles-from massive-scale satellite and video labeling engagements to complex, bespoke ML Ops partnerships., • Own Technical Scoping: Partner with Engineering to make high-stakes design decisions on infrastructure, APIs, and model evaluation frameworks (T&E)., • Operationalize Collaboration: Use high EQ and structured thinking to align Engineering, Operations, and elite Government stakeholders., • Technical by Core: You have a background in Software Engineering, Field Engineering, or Vision Systems. You can read code, understand system architecture, and earn the immediate respect of world-class engineers., • ML/CV Experience: You have experience in Computer Vision or ML Ops. You understand the lifecycle of a model-from data acquisition to Test & Evaluation., • Grit: You possess a "whatever-it-takes" drive. You are comfortable running through walls, grinding through ambiguity, and delivering results in high-pressure environments., • Structured Thinker, but Action Oriented: You can take a challenging problem, decompose it, create action plans, and drive results., • Security Clearance: An active Secret or TS/SCI clearance is a nice to have for this role. If you do not have an active clearance, you must be willing to obtain one., • Demonstrated Technical Rigor: Advanced degree (CS, Engineering, or a related field) from a top-tier institution, or equivalent experience that showcases deep technical problem-solving ability., • Computer Vision (CV) Expertise: Practical experience designing, building, or evaluating large-scale Computer Vision models, including advanced data processing and deployment techniques. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$205,600—$257,000 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$212,800—$266,000 USDThe base salary range for this full-time position in the location of St. Louis is:$177,600—$222,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other highstakes legal work where accuracy, trust, and defensibility are essential. Relativity aiR is redefining document review through agentic AI systems that reason, cite their decisions, and scale across millions of documents. These systems automate complex legal workflows while keeping humans in the loop, enabling legal professionals to focus on what matters most. WHAT WE DO At Relativity, we are building a worldclass Applied Science organization focused on pushing the boundaries of intelligent systems in one of the most demanding and consequential domains: the legal system. Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity aiR. Our work goes far beyond simple model integrations. We build agentic systems that reason over documents, validate decisions statistically, remain auditable and defensible, and operate reliably at massive scale. Trust, reliability, and responsibility are foundational to everything we build. Our team values curiosity, experimentation, rigor, and collaboration. We move quickly, validate assumptions with evidence, and simplify aggressively to deliver systems that are safe, reliable, and impactful in production. Job Description and Requirements ABOUT THE ROLE As a Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend: understanding the problem space, designing solutions, validating them statistically, and bringing them to production in partnership with engineering, product, and customerfacing teams. This role is ideal for an experienced applied scientist who thrives at the intersection of modeling, experimentation, and realworld system reliability, and who is motivated by building AI systems that are not only powerful, but also defensible, interpretable, and safe by design. WHAT YOU'LL DO • Write productionquality code that solves real customer problems and scales cleanly, with systems designed to be easy to ship, operate, and maintain, • Collaborate closely with fellow Applied Scientists as well as Engineers, Product Managers, Designers, and Customers, • Design and execute statistically sound experiments and automate them into reusable benchmarks and evaluation frameworks, • Rapidly prototype AI and MLpowered solutions and mature them into reliable, scalable production models, • Select the appropriate modeling approach for each problem, ranging from classical machine learning techniques to frontier large language models, • Validate model behavior rigorously using evidence, metrics, and experimentation, remaining open to changing course when the data demands it, • Contribute to building intelligent systems that reason, cite their decisions, and operate defensibly at scale, • Help push the boundaries of agentic AI while ensuring systems remain auditable, reliable, and responsible WHAT WE'RE LOOKING FOR • 8+ years of professional experience in applied science, machine learning, or a closely related field, • Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience, • Proven ability to move quickly from prototype to production, simplifying complex ideas into robust systems, • Experience reading, validating, and applying research with a healthy level of skepticism, • Experience across a wide range of modeling techniques, from classical machine learning to largescale generative models, • Familiarity with modern MLOps tooling and practices, including containers, workflow orchestration, deployment patterns, telemetry, and experimentation systems, • Strong Python programming skills and experience with common data and ML libraries such as numpy, PyTorch, scikitlearn, and PySpark, • Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and nontechnical audiences, • Endtoend ownership mindset, with the ability to understand new problem spaces, design solutions, and bring them to market alongside engineering, product, and support partners, • A collaborative, curious, and adaptable approach, with comfort leading, questioning assumptions, and learning from failure WHY WE COULD BE A GREAT FIT HighImpact Problems • Competitive compensation, health and retirement programs, discretionary time off (DTO), parental leave for primary and secondary caregivers, companywide breaks, wellness resources, and an equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $224,000 and $336,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language), Reinforcement Learning, Researching, Scientific Writing, Statistical Models, Technical Leadership

Aon is looking for a Banking & Capital Markets - Performance & Analytics - Director- New York, NY open to hybrid! Do you have a deep interest in financial markets, specifically Banking, and like to engage with senior stakeholders? Do you enjoy delving into data to find answers and insights? This is an opportunity to work in a small, inclusive and supportive team helping senior stakeholders at financial institutions make strategic decisions! At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed. GAUGE is a solution line within Aon's Talent vertical which uses proprietary data to provide Global Banks with financial benchmarking to assess efficiency and performance across their Front Office Businesses and Infrastructure Functions. Insights are consumed by c-suite stakeholders to help them make better decisions around the strategic direction of their organization. Every day is different which keeps it interesting, but key tasks would include: • Presenting detailed analysis to senior stakeholders across the Front Office and Support Functions of bulge bracket Investment Banks to help them understand their largest opportunities to improve performance and efficiency, • Managing and executing delivery of consulting projects, including leading a junior team members across various locations globally, • Business development through growing and building on existing client relationships and improving the product offering to drive long-term revenue growth, • High revenue generating team that provides unique benchmarking insights to clients, • Involved in all aspects of the project lifecycle, from data normalisation to client and project management to presentation of results and insight to senior stakeholders, • Building strong relationships to senior stakeholders at Global Banks, and supporting them with data insights to make strategic decisions, • Opportunity to collaborate and develop networks and understanding of different Aon solution lines, • Opportunity to develop and lead junior team members, • Experience of working in a financial institution or in management consultancy, • Industry awareness and an understanding of the immediate challenges facing Global Banks in the current market environment, • Willingness and ability to grow and develop the existing business, • Ability to deliver client presentations to a senior audience with effective story telling of a range of metrics and insights, • Proactive mindset, willingness to learn on the job, and able to work independently, • Curiosity to question and understand the implications of internal processes/client results, • Excellent communication skills (both verbal and written) and good personal organisation or project management skills, • Strong analytical skills across large data sets Aon offers a comprehensive package of benefits for full-time and regular part-time colleagues, including, but not limited to: a 401(k) savings plan with employer contributions; an employee stock purchase plan; consideration for long-term incentive awards at Aon's discretion; medical, dental and vision insurance, various types of leaves of absence, paid time off, including 12 paid holidays throughout the calendar year, 15 days of paid vacation per year, paid sick leave as provided under state and local paid sick leave laws, short-term disability and optional long-term disability, health savings account, health care and dependent care reimbursement accounts, employee and dependent life insurance and supplemental life and AD&D insurance; optional personal insurance policies, adoption assistance, tuition assistance, commuter benefits, and an employee assistance program that includes free counseling sessions. Eligibility for benefits is governed by the applicable plan documents and policies. The salary range for this position (intended for U.S. applicants) is $160,000 - $175,000 annually. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location. This position is eligible to participate in one of Aon's annual incentive plans to receive an annual discretionary bonus in addition to base salary. The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan. Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued. Aon values an innovative and inclusive workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace. Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. People with criminal histories are encouraged to apply. We are committed to providing equal employment opportunities and fostering an inclusive workplace. If you require accommodations during the application or interview process, please let us know. You can request accommodations by emailing us at___or your recruiter. We will work with you to meet your needs and ensure a fair and equitable experience. For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances. Aon is not accepting unsolicited resumes from search firms for this position. If you are a search firm, you will not be compensated in any way for your submission of a candidate, even if Aon hires that candidate. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. #LI-KN1 #LI-HYBRID 2569945

Job Description: We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large. About the Role: Wiley is undergoing a transformative period as we anticipate and adapt to the shifting needs of our customers while harnessing the possibilities enabled by technology and innovation. With new products and services fueling our global expansion, this is a pivotal moment to join Wiley's executive leadership as Corporate Vice President of Enterprise Strategy. This role will lead the strategic initiatives that define the organization's future - driving research, analysis, and enterprise-wide transformation. Reporting directly to the SVP, Strategy, this executive will partner with C-suite leaders and the Board of Directors to architect and execute Wiley's long-term vision, while building and leading a high-performing strategy team. Job Responsibilities: Enterprise Strategy & Portfolio Leadership • Own Wiley's 3-5 year strategic roadmap, defining the next chapter of the company's evolution and driving execution against strategic priorities., • Lead portfolio strategy, partnering with the CEO and Board to make disciplined decisions on where to invest and transform., • Establish strategic KPIs and performance frameworks, delivering regular Board and executive insights on progress against priorities. Market Intelligence & Competitive Positioning • Build and own market intelligence capabilities, delivering rigorous competitive analysis and strategic foresight in high-growth areas including life sciences data services, and AI-enabled publishing innovation., • Partner with Corporate Development to identify and evaluate M&A opportunities, leading strategic due diligence and ensuring alignment with enterprise strategy., • Collaborate with Business Development on partnerships and alliances that support Wiley's long-term roadmap., • Support investor relations and corporate marketing in articulating Wiley's strategic narrative and competitive differentiation to external stakeholders. Strategic Enablement & Cross-Functional Leadership • Build strategic planning capabilities across the organization through frameworks, tools, and processes that elevate strategic thinking., • Partner closely with Finance to ensure strategic plans are grounded in rigorous financial analysis and appropriately resourced., • Serve as executive sponsor for high-priority transformation initiatives, driving cross-functional alignment and measurable business impact. Required Qualifications: • MBA from a top-tier business school; advanced degree (PhD, MS) in a relevant field is a plus, • 12-15+ years of progressive experience in strategy consulting (Partner/Principal level at MBB or equivalent) and/or senior strategy roles in publishing, education technology, or information services, • Proven track record of leading enterprise transformation initiatives with demonstrated P&L impact, • Executive presence with extensive experience presenting to and influencing Board of Directors and C-suite executives, • Experience leading and scaling teams of 10+ professionals Core Competencies: • Strategic Vision: Ability to synthesize complex market dynamics, anticipate disruption, and shape breakthrough corporate strategies., • Executive Leadership: Proven capacity to influence without authority, align diverse stakeholders, and drive consensus at the senior-most levels., • Analytical Rigor: Strength in market analysis, competitive intelligence, and data-driven decision-making to guide strategic priorities., • Innovation & Transformation: Deep expertise in digital transformation, AI/ML applications, and emerging business models that drive sustainable growth., • Communication Mastery: Exceptional storytelling and narrative-building skills, with experience preparing Board-level materials and investor communications., • Global Perspective: Hands-on experience leading cross-border initiatives and navigating diverse regulatory and cultural contexts., • Industry Expertise: Deep understanding of data services and content ecosystems, with exposure to key verticals (e.g., Life Sciences). We power infinite possibilities. For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere. We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. When applying, please attach your resume/CV to be considered. Salary Range: 210,000 USD to 315,333 USD#LI-JL1 Job Posting Title: Corporate Vice President, Strategy Location: Hoboken (HQ), NJ, USA

Scale is powering this generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Our customers include OpenAI, Microsoft, Adept, Stability AI and many more major players in this space! The Platform team is responsible for building the core abstractions and infrastructure on which the products can be built and iterated rapidly. The team owns how data flows throughout the Scale platform. We're looking for a database engineer with deep experience building and scaling both structured and unstructured database platforms supporting distributed systems, data-intensive applications, and machine learning infrastructure. You have a growth mindset and are comfortable learning new technologies. You will: • Build and mature database foundations for Scale, leveraging industry-standard platforms., • Collaborate with stakeholders across the organization, such as software developers, platform engineers, machine learning scientists, customer operations, etc., • Own services or systems and define their long-term health goals, while also improving the health of surrounding components., • Mentor other engineers and become deeply involved in architectural design and database best-practices., • Improve our high engineering standards, tooling, and process., • Work directly with our engineering and sales teams to create backend database solutions to meet their challenging data and security needs., • Work with our Security Team on security compliance, pen tests and mitigations that improve security across Scale., • Build systems capable of handling millions of frames of data every day, making it available to both our workforce and our internal teams with high availability. This role could be a fit if you have: • 5+ years of industry experience as a database engineer post graduation., • Engineering experience with building real-time and distributed system architecture., • Experience designing and self hosting databases on industry standard public cloud platforms, • Deep familiarity with design, architecture, optimization, and tuning multiple database platforms such as MongoDB, Postgres, MySQL, DynamoDB, Redis, • Deep familiarity with SQL query optimization, database indexing, scalability (partitioning/sharding), and replication, • Experience developing and optimizing backup and restore functionality to meet RTO goals, • Intermediate experience in at least one coding language: Typescript, Python, Go, Java, C++ (note that we are mostly language-agnostic and are open to using whatever is the best tech for the problem at hand)., • Experience working with Docker, Kubernetes, and Infra-as-Code (e.g. Terraform); bonus points for experience supporting GPU/ML workloads. Nice to haves: • Prior startup experience to help us grow responsibly., • Experience with AWS, Datadog, ElasticSearch, • Experience with cloud-based data warehouse solutions like Snowflake or Databricks., • Experience with cost optimization strategies and techniques for database platforms., • Experience developing and designing intermediary data abstraction layers. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes. Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research. If you excel at turning frontier agent research into reliable deployed systems, we want to hear from you. You will: • Build and deploy multi-agent systems for agentic reasoning validation, • Develop pipelines to detect errors and scale human judgment, • Combine classical ML, LLMs, and multi-agent techniques for reliability, • Lead research into agent failure modes and ship fixes, • Use AI tools to speed prototyping and iteration, • Build data-driven evaluations and deploy rapid improvements, • PhD or MSc in Computer Science, Mathematics, Statistics, or related field, • 3+ years shipping scaled production ML systems, • Demonstrated real-world impact, • Mastery of PyTorch, TensorFlow, JAX, or scikit-learn, • Deep expertise in agentic LLMs and multi-agent systems, • Strong software engineering and microservices (AWS/GCP), • Rapid, data-driven iteration, • Proficiency using AI tools to accelerate work, • Strong research depth with practical bias, • Experience prototyping agent evaluation/reliability systems, • Human-in-the-loop or annotation pipeline work, • Open-source contributions in agents, evaluation, or alignment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.