Get to Know Us: It's fun to work in a company where people truly believe in what they're doing! At BlackLine, we're committed to bringing passion and customer focus to the business of enterprise applications. Since being founded in 2001, BlackLine has become a leading provider of cloud software that automates and controls the entire financial close process. Our vision is to modernize the finance and accounting function to enable greater operational effectiveness and agility, and we are committed to delivering innovative solutions and services to empower accounting and finance leaders around the world to achieve Modern Finance. Being a best-in-class SaaS Company, we understand that bringing in new ideas and innovative technology is mission critical. At BlackLine we are always working with new, cutting edge technology that encourages our teams to learn something new and expand their creativity and technical skillset that will accelerate their careers. Work, Play and Grow at BlackLine! Make Your Mark: As an AI Engineer at BlackLine, you will be a key player in our mission to bring autonomous finance to every company in the world. You will be at the forefront of developing and deploying innovative applications that leverage the power of Large Language Models (LLMs) and foundation models. We are looking for a candidate with a deep understanding of AI Engineering with practical experience deploying GenAI solutions at scale. You'll Get To: • Design, build, and deploy production-grade applications that leverage foundation models to deliver unprecedented insights and efficiency to Finance & Accounting teams.• Develop and implement robust evaluation methodologies for open-ended AI systems, including the use of "AI as a judge" to ensure our solutions meet the highest standards of accuracy and reliability.• Master and apply a variety of model adaptation techniques, including prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning, to tailor foundation models to specific financial use cases.• Create and manage datasets for training and fine-tuning models, ensuring data quality and relevance.• Build and deploy AI agents that can automate complex financial workflows and interact with various tools and systems.• Optimize the performance of our AI applications, focusing on reducing latency and cost to deliver a seamless user experience.• Collaborate with cross-functional teams to identify and implement the best AI-powered solutions to address the challenges faced by the office of the CFO. What You'll Bring: • Proven experience in developing and deploying applications using foundation models (e.g., GPT-4, Claude 3, Llama).• A strong understanding of the principles of AI Engineering, as distinct from traditional Machine Learning Engineering.• Hands-on experience with prompt engineering, including techniques for few-shot and zero-shot learning, and defensive prompt design.• Practical knowledge of Retrieval-Augmented Generation (RAG) architecture and its application in building knowledge-intensive applications.• Experience with fine-tuning LLMs and an understanding of when to use fine-tuning versus RAG.• Experience with building and evaluating AI agents that can perform complex, multi-step tasks.• Familiarity with the challenges of evaluating foundation models and experience with designing and implementing evaluation pipelines.• Experience with building and evaluating AI agents that can perform complex, multi-step tasks.• Proficiency in Python or C# and experience with relevant libraries and frameworks (e.g., Hugging Face Transformers, LangChain, PyTorch). We're Even More Excited If You Have: • Knowledge of techniques for optimizing inference, including quantization and other methods to improve latency and cost.• Expertise in multi-modal generative models (e.g., text, image, audio) and a proven ability to apply them to create innovative enterprise solutions.• A deep understanding of dataset engineering, including data curation, augmentation, and synthesis. • Proven experience in designing and building end-to-end Generative AI systems, from data ingestion and model orchestration to scalable deployment and continuous monitoring.• A strong grasp of LLMOps principles and hands-on experience with tools and platforms for managing the entire lifecycle of Large Language Models in production.• Experience with Model Composition (MCP) techniques, demonstrating an ability to solve complex problems by intelligently combining multiple specialized models or AI agents.• Deep knowledge of Responsible AI principles and practical experience in implementing robust guardrails, safety filters, and ethical considerations into generative models to ensure fairness, transparency, and accountability.• Familiarity with the financial domain and the challenges of applying AI in a regulated industry. Thrive at BlackLine Because You Are Joining: - A technology-based company with a sense of adventure and a vision for the future. Every door at BlackLine is open. Just bring your brains, your problem-solving skills, and be part of a winning team at the world's most trusted name in Finance Automation! - A culture that is kind, open, and accepting. It's a place where people can embrace what makes them unique, and the mix of cultural backgrounds and varying interests cultivates diverse thought and perspectives. - A culture where BlackLiner's continued growth and learning is empowered. BlackLine offers a wide variety of professional development seminars and inclusive affinity groups to celebrate and support our diversity. BlackLine is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, race, ethnicity, age, religious creed, national origin, physical or mental disability, ancestry, color, marital status, sexual orientation, military or veteran status, status as a victim of domestic violence, sexual assault or stalking, medical condition, genetic information, or any other protected class or category recognized by applicable equal employment opportunity or other similar laws. BlackLine recognizes that the ways we work and the workplace itself have shifted. We innovate in a workplace that optimizes a combination of virtual and in-person interactions to maximize collaboration and nurture our culture. Candidates who live within a reasonable commute to one of our offices will work in the office at least 3 days a week.

Our Mission Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable. Zocdoc’s mission is to give power to the patient. To do that, we’ve built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down. We’re 18 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on. Your Impact on our Mission: As a Staff Software Engineer (Data Infrastructure), you’ll lead the design and development of the software that underpins our data platform: ingestion frameworks, execution services, orchestration, metadata, data governance, and developer experience. Your focus is building APIs, libraries, and services that make data producers/consumers effective, while optimizing reliability, performance, and spend on AWS. You’ll enjoy this role if you are… - A builder of platforms and frameworks (not just point pipelines). - Comfortable with distributed systems abstractions (compute scheduling, storage layout, back‑pressure, retries, idempotency). - Excited by lakehouse tech and modern data contracts, and you want to create self‑service for hundreds of use cases. Your day to day is… - Design and ship platform services for ingestion, transformation, orchestration, and metadata (e.g., service‑backed interfaces for Dagster/Airflow, lineage, quality, and data contracts). - Build execution & scheduling capabilities for Spark/SQL jobs (queuing, prioritization, retries, resource isolation on EMR/EKS/Databricks), focusing on throughput and developer experience. - Implement lakehouse features (Delta/Iceberg): schema evolution, partitioning, compaction, vacuum, snapshotting, ACID guarantees, and table‑format governance - Optimize Snowflake and other warehouses: cost controls, query profiling/pruning, workload isolation, RBAC; expose safe self‑service patterns. - Deliver SDKs, CLIs, and templates that standardize how teams build reliable data products; enable CI/CD for data and contract testing. - Work across AWS (S3, EMR/EKS, Glue/Athena, Lambda, Kinesis/MSK) with IaC (Terraform) and strong observability (Datadog/CloudWatch). You’ll be successful in this role if you have… - 8+ years building backend/platform software with Python/Scala/Java and strong SQL; proven track record designing distributed systems. - Deep experience with Spark (Databricks or EMR/EKS) and AWS data services; solid grasp of scheduler/executor behavior and performance tradeoffs. - Hands‑on data warehouse optimization (Snowflake ideal; others welcome). - Experience building platform APIs/SDKs that other engineers adopt; excellent collaboration and technical leadership. Bonus if you have… - Experience at petabyte‑scale data platforms, distributed big data compute, or lakehouse engines (Delta/Iceberg). - Familiarity with metadata/governance tech (Unity Catalog, Collibra, Lake Formation). Benefits: - Flexible, hybrid work environment at our convenient Soho location - Unlimited Vacation - 100% paid employee health benefit options (including medical, dental, and vision) - Commuter Benefits - 401(k) with employer funded match - Corporate wellness program with Wellhub - Sabbatical leave (for employees with 5+ years of service) - Competitive paid parental leave and fertility/family planning reimbursement - Cell phone reimbursement - Catered lunch everyday along with beverages and snacks - Employee Resource Groups and ZocClubs to promote shared community and belonging - Great Place to Work Certified Zocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data. Base salary offered is determined by a number of factors including the candidate’s experience, qualifications, and skills. Certain positions are also eligible for variable pay and/or equity; your recruiter will discuss the full compensation package details. NYC Base Salary Range $180,000—$275,000 USD About us Zocdoc is the country’s leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc’s Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values. Zocdoc is a private company backed by some of the world’s leading investors, and we believe we’re still only scratching the surface of what we plan to accomplish. Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone, we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences and contributors make our community and our platform better. We’re an equal opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws. Job Applicant Privacy Notice

Learning Services Coordinator Rasmussen University Online/Remote The Learning Services Coordinator - Nursing plays a critical role in advancing student success through centralized, virtual academic support tailored to the rigorous demands of nursing education. The Coordinator manages synchronous and asynchronous online academic skill support aligned to the content area, including peer and professional nurse-educator tutoring services. As a key contributor to the Learning Services team, the Coordinator contributes to strategic initiatives, data-informed service enhancements, and cross-functional partnerships that expand the impact of departmental services. Responsibilities: - Hire, train, and manage online Work Study Peer Tutors in accordance with College Reading & Learning Association (CRLA) standards. - Hire, train, and manage online Nurse Educator Tutors aligned to evidence-based instructional standards. - Conduct regular performance evaluations according to applicable CRLA and HR standards. - Provide ongoing coaching and development opportunities for tutoring staff. - Design and deliver training sessions to ensure effective use of tutoring systems and service quality. - Contribute to the continuous improvement of tutor training content and student-facing academic skill instruction. - Maintain current knowledge of trends in nursing education, tutoring best practices, and learning science through ongoing professional development. - Develop and deploy academic skills webinars leveraging the collective expertise of internal tutors and external faculty stakeholders. - Curate and promote academic resources and services to support nursing licensure exam preparedness. - Maintain current knowledge of nursing curricula and assessments to inform disciplinary academic skill instruction. - Serve as a subject matter expert in nursing education to support targeted academic outreach and instructional design initiatives. - Coordinate Learning Center operations in partnership with Learning Services colleagues and leadership. - Collect, analyze, and report on tutoring usage, student outcomes, and satisfaction to inform continuous improvement and demonstrate impact. - Promote inclusive tutoring practices and ensure equitable access to academic support services for all nursing students. Reporting Relationships: The Learning Services Coordinator - Nursing reports to the Learning Manager, who reports to the Associate Director of Learning Services. The Learning Services Coordinator will formally supervise and manage a remote team, including a combined total of approximately ten Work Study Peer Tutors and Nurse-Educator Tutors. Supervisory experience is required. This role is indirectly responsible for the CRLA certification of peer tutors. Requirements: Required: - Minimum of three years of experience in online higher education supporting student academic skill development. - Masters degree in related field - Superior management and training experience in online higher education. - Ability to work independently and collaboratively as a team member and with other departments, both in person and virtually. - Flexibility to work a schedule aligned with university and student needs, including evenings and weekends. - Knowledge of principles and practices in tutoring centers, writing centers, or learning services. - Demonstrated track record of exceptional customer service in a professional environment. - Strong multi-tasking, organizational, planning, and coordination skills. - Self-motivated, flexible, patient, and solutions-oriented mindset. - Proficiency in Microsoft Office Suite, particularly Outlook, Word, Excel, and PowerPoint. - Excellent command of the English language, both oral and written, with superior communication skills. - Experienced in standard learning management systems and publishing methods for online education, including LTI and digital objects. Preferred: - Previous tutoring experience. - Systems knowledge and experience with MS Teams and OneDrive. - Expertise with webinar/webcasting/web conferencing software. - Experience with Springshare LibApps, including LibGuides, LibCal, and LibAnswers. About Us: Rasmussen University, a university accredited by the Higher Learning Commission, an institutional accreditation agency recognized by the U.S. Department of Education (www.hlcommission.org), is dedicated to changing lives and the communities it serves through innovative educational programs. As a pioneer in career-focused education since 1900, the University is defining a new generation of higher education that focuses on competency-based education, technology and transferable skills. Rasmussen offers undergraduate and graduate programs online and in person at 20 campuses around the country. The University is designed to lift and support its students every step of the way, from each student’s first credential to their last. Rasmussen is dedicated to global enrichment, serving the underserved, and meeting the evolving needs of diverse students, communities, and economies. Rasmussen encourages its students, faculty, and staff to strive for academic excellence, community enrichment and service to the public good. Rasmussen is a wholly owned subsidiary of American Public Education, Inc. (Nasdaq: APEI). For more information about Rasmussen University, please visit www.rasmussen.edu. It is the policy of Rasmussen University to afford equal opportunity to all qualified persons. We treat all qualified individuals equally as to their recruitment, hiring, assignments, advancements, compensation, and all other terms and conditions of employment. Rasmussen University does not discriminate on the basis of race, color, religion, creed, sex, age, national origin, sexual orientation, or physical, mental, or sensory disability, or any other characteristic protected by law. If you are a resident of a state with designated pay transparency requirements and this role is available remotely, you may be eligible to receive additional information about the compensation and benefits for this role, which we will provide upon request. Please send an email to recruiting@apei.com.

• Own and innovate on Cash Forecasting capabilities • End-to-end ownership of ML model development lifecycle • Collaborate with Business and Product stakeholders to develop a roadmap • Communicate complex concepts to influence strategic decisions • Collaborate with ML Scientists and Analytics Engineers to develop shared capabilities