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Job Description Role Summary: We’re looking for a motivated Junior Amazon Connect Developer to join our team in building and supporting cloud-based contact center solutions. In this role, you’ll work closely with senior engineers and business teams to design, implement, and optimize scalable systems leveraging Amazon Connect and various AWS services. This is a great opportunity to gain hands-on experience in cloud development and customer engagement technologies. Key Responsibilities: * Contact Flow Development: * Design, develop, and maintain voice and chat contact flows in Amazon Connect. * Implement serverless functions using AWS Lambda (Node.js, Python, or Java). * Incorporate Amazon Lex for conversational chatbot functionality. * System Integration: * Connect Amazon Connect with internal systems and third-party tools using APIs, S3, DynamoDB, and API Gateway. * Support integrations with CRMs like Salesforce or ServiceNow. * Configuration & Optimization: * Set up routing profiles, queues, and agent hierarchies. * Analyze usage data and feedback to improve system performance and call flows. * Monitoring & Maintenance: * Use CloudWatch for logging, monitoring, and alerting. * Troubleshoot production issues and ensure platform reliability. * Documentation & Collaboration: * Maintain up-to-date documentation for all integrations and flows. * Work with QA, DevOps, and product teams to deliver high-quality solutions. Required Qualifications: * 1–3 years of experience in software development or cloud engineering. * Some hands-on exposure to Amazon Connect or similar contact center technologies. * Familiarity with AWS Lambda, Lex, S3, DynamoDB, and API Gateway. * Basic programming knowledge in Node.js, Python, or JavaScript/TypeScript. * Understanding of CI/CD pipelines, Git, and Infrastructure-as-Code (CloudFormation or CDK). * Strong analytical and communication skills. * Willingness to learn and receive training on Amazon Connect. Preferred Qualifications: * AWS Certified Developer or AWS Cloud Practitioner certification. * Experience with Salesforce Service Cloud Voice or similar CRM integrations. * Understanding of telephony, IVR, and ACD systems. * Familiarity with Agile/Scrum development environments.

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022) As a senior level software engineer at Maven Clinic, you will lead the design, development, and maintenance of highly scalable, performant, and reliable systems that support the growing opportunities in our product and platform systems. You will work closely with cross-functional teams to ensure the delivery of high-quality products and features that meet the needs of our customers and adhere to Maven's quality standards. As a Senior Software Engineer at Maven, you will: • Lead the design, development, and maintenance of highly scalable, performant, and reliable systems that support the growing needs of Maven's platform and backend teams., • Propose, design, develop and implement cloud-based solutions that ensure the agility, flexibility, and scalability of our systems., • Drive technical design discussions and provide guidance to team members on best practices, coding standards, and architecture principles., • Collaborate with and lead cross-functional teams to drive the development of new features and products, ensuring they meet the needs of our customers and adhere to Maven's quality standards., • Mentor and guide and mid-level engineers, helping to develop their technical skills and cultivate a culture of continuous learning and improvement., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience., • Minimum of 5 years of experience in backend development and platform architecture, with a proven track record of building highly scalable, performant, and reliable systems., • Experience designing and implementing complex distributed systems, including microservices architecture, containerization, and orchestration., • Strong expertise in developing cloud-based solutions, with hands-on experience in one or more cloud platforms (AWS, Google Cloud, Azure, etc.), including infrastructure as code and serverless architectures., • Proficiency in multiple programming languages (Java, Python, Go, etc.), • Experience building distributed systems with microservices and relational and nosql databases., • Experience leading technical design discussions and providing guidance on best practices, coding standards, and architecture principles., • Strong problem-solving and analytical skills, with a proven ability to deliver high-quality code in a fast-paced environment. The salary range for this role is $195,000 - $230,000 per year. You may also be entitled to receive a bonus, equity, and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job Description Position Description A client of AlphaStaffHCM is seeking an experienced Senior/Principal Engineer to lead the design, integration, and development of photonic integrated circuits with integrated laser sources. The ideal candidate will have deep expertise in semiconductor laser physics, photonic device design, process integration, and system-level modeling. This role requires a hands-on leader capable of driving projects from concept through fabrication, testing, and qualification, with a strong focus on innovation and performance optimization for next-generation photonic systems. Duties and Responsibilities • Lead the design and modeling of integrated photonic circuits incorporating lasers, modulators, amplifiers, and passive components., • Develop and optimize epitaxial structures for laser integration on photonic platforms (e.g., Thin-film lithium niobate, Si photonics)., • Perform optical and electrical modeling using tools such as Lumerical, COMSOL, FDTD, and Matlab/Python codes., • Drive process integration efforts including mask design, fabrication flow development, and collaboration with foundry partners., • Conduct device characterization, performance analysis, and reliability testing to meet product specifications., • Provide technical leadership in cross-functional teams including epitaxy, process engineering, testing, and reliability., • Support product qualification efforts including wafer acceptance testing, reliability modeling, and failure analysis., • Ph.D. in Optics, Photonics, Electrical Engineering, or a related field., • 10+ years of industrial experience in semiconductor laser design, fabrication, and testing., • Strong background in photonic device modeling (FDTD, FDFD, PWEM, TMM, FEM)., • Proficiency with photonic design and simulation tools (Lumerical, COMSOL, Sentaurus, etc.)., • Experience with III-V semiconductor processes including lithography, etching, deposition, and characterization., • Demonstrated ability to lead technical projects and mentor junior engineers., • Experience with photonic crystal lasers (PCSEL), VCSELs, DFB, EML, or SOA devices., • Knowledge of integrated photonic platforms (Si photonics, InP, heterogeneous integration)., • Proficiency in programming for data analysis and automation (Python, Matlab, SQL, VBA)., • Experience with reliability testing, wear-out modeling, and qualification for high-volume production., • Familiarity with mask design tools (KLayout, L-Edit) and process integration for photonics., • Track record of innovation through patents, publications, or product development., • Experience working in a cross-cultural, multi-site R&D environment. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job DescriptionAbout Fractional AI Fractional AI builds bespoke gen AI software to transform businesses. Every C-suite in the country is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more). By joining Fractional AI, you’re stepping onto a San Francisco and NYC-based team working on gen AI projects for top companies from the comfort of an engineering-first startup. About Bringing Your Own Engineering Team We get that the right team can be a force multiplier – balancing out our edges and inspiring us to achieve more together. If you’re part of an existing team of 2-5 engineers – maybe you co-founded your own venture and are looking to pivot, maybe your team was impacted by a reduction in force, you-name-it – we encourage you to apply to join Fractional AI as a team. We’ll arrange your interviews to be on the same day, and If we make an offer, we’ll make it to all of you, at the same time. You’d all be free to accept or decline individually, but of course we’d hope you’d all accept, and then we’d work to find first projects at Fractional AI where you can start working together. Joining Fractional AI, you’ll play a leading role in building and shipping AI applications for our inaugural customers - from understanding customer needs to deploying solutions in their environments - all while shaping our Engineering and broader Fractional AI culture for the next 100+ engineers. What you bring to the table: * You write exceptional code + deeply care about the craft of coding (7+ years of experience): you build elegant, production-ready code; you have strong proficiency across multiple programming languages * You are excited about AI: you have some demonstrated interest in AI - Whether you've experimented with LangChain, built an LLM-based side project, or simply have become a ChatGPT power user * You love solving hard, new problems: you are comfortable self-teaching, asking “why?,” and experimenting to solve problems you haven’t seen before * You are ‘start-up ready’: you jump in without instruction, embrace a ‘no job too big, no job too small’ mindset, and want to shape strategy and culture * You are comfortable talking with users: you deeply care about the user and skillfully navigate user conversations to ensure what we’re building meets their needs * You are a great teammate: you are comfortable helping others (and asking for help), you champion integrity in everything, and want to build a one-in-a-career culture of personal growth What you'll do: * Design and develop custom AI solutions tailored to the unique needs of our customers, ensuring seamless integration and scalability * Partner with a high-caliber team across the full project lifestyle, from requirements gathering, to prototyping, system design, coding, testing, deployment, and support * Actively shape our engineering and broader company culture - from how we learn, to how we hire, to how we celebrate - you’ll shape how we make Fractional a place we all love working Our tech stack: * We’re generally tech stack agnostic - we work in our customers’ environments and code bases. A lot, but definitely not all, of our work is in python. * After working at Fractional AI for a few years, you’ll be an expert at using the various foundational models, building with tools like Langchain/Langsmith, and various other tools and frameworks (e.g., OpenPipe, Pinecone, ChromaDB). A day in the life: * You’re the tech lead for one of our customer projects - it may be automating a call center with AI phone agents or building an AI content moderation system – each project is differentYou’ll join the team in our SF office between 8am-10am pacific time. * You’ll dive into one of the higher priority items for the morning (say building out an evals suite). You have a weekly standup with the customer (the CTO at the client) to chat through tradeoffs, progress, and timeline. * You join team lunch (which doubles as the Fractional AI cross-project standup) to hear about different projects we’re working on … the lunch will turn into a lively debate about Weights and Biases v. Braintrust capabilities. * You’ll have some solo heads down time to continuing jamming on the high priority pieces for that 2-week sprint. * Maybe you join a prospective customer call to share your perspective on what’s technically feasible on that potential project. * You’ll head home between 5pm-6:30pm Who you'll work with: * This role will report directly to Eddie, our Co-Founder and CTO. * You’ll work very closely with other engineers on the team -- the vast majority of our projects have multiple Fractional AI engineers working on them at once. * You’ll also spend a lot of time collaborating with our CEO, Chris, and Chairman, Travis. Why you should (and shouldn’t) join us We’re big believers in transparency and know joining a company is a big decision. We’re not the best fit for everyone and try to be clear on what we are and what we’re not so you make the choice that’s right for you. Why join Fractional? * Build on the forefront of applied AI: You’ll have a front row seat to how the world’s leading companies are actually deploying AI solutions. By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world. * Solve big, real problems: Companies come to us when they can’t solve some of their biggest problems themselves. For you, that means learning everyday, never getting bored, and working across a range of industries, customers, and products. * Learn with and from the best in person: We're a team of senior engineers (some former founders, some former engineering leaders) who only want to work on high-impact projects. Working elbow to elbow in our San Francisco or NYC offices means things like team lunches, quick brainstorming, and the right amount of banter. Why shouldn't you join Fractional? * Preference for just speed or quality: We love hacking things together for a proof of concept but ultimately our code will be put into production in our customers’ environments - you need to enjoy balancing elegance and expediency. * Predictability is important to you: You’ll be working across customers, programming languages, industries and projects, which means you won’t be becoming an expert in the same product suite or serving the same user day after day. * Customers aren’t your thing: You’ll spend most of your time coding but will be closer to the customer than in most engineering roles. You’ll frequently interact with engineers from the customer’s team to ask questions and problem solve. A deep understanding and appreciation of the customer is crucial. Our Values Overdeliver. Overuse AI. Over "engineer" the culture. Location San Francisco, CA or NYC (4 days in-person, Fridays remote) Benefits * 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills. * 📈 401k with Matching: Invest in your future with our company-matched retirement plan. * 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate. * 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. * 🚑 Health FSA: Manage out-of-pocket health expenses effectively. * 🚌 Commuter Benefits: Make your travel to work easier and more affordable. * 🏥 Life Insurance: Providing peace of mind for you and your loved ones. * 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit. Ready to join us?

Job Description We’re building applied AI systems for high‑stakes, real‑world decisions. Our platform ingests and reasons over large, messy data to surface evidence with hard constraints around fairness, auditability, and low bias. The single gnarliest, most impact‑heavy place this problem shows up is in insurance claims, so that’s where we’re deployed today, running in production at some of the largest carriers in North America. We are seeking a visionary Principal Software Engineer to join our Engineering team. In this role, you will drive our technical strategy, tackle our most complex engineering challenges, and lead the integration of advanced AI models into highly scalable, production-grade features. We have engineering hubs in New York City and Toronto, and this role is 5 days per week onsite in one of those offices. We optimize for people who like to think deeply, whiteboard with other sharp engineers, and ship ambitious systems together in person. Join us at Owl.co and become an integral part of a forward-thinking team dedicated to transforming the insurance industry through technology. Your technical leadership will play a crucial role in shaping our product roadmap and delivering massive value to our clients. Key Responsibilities: * Own the end-to-end system architecture of our core platform, ensuring it is highly scalable, secure, and capable of processing large-scale unstructured data. * Spearhead the engineering effort to seamlessly integrate, scale, and maintain applied AI and machine learning models in a high-stakes production environment. * Partner with Product leadership and cross-functional teams to define the long-term technical roadmap and translate business goals into actionable engineering initiatives. * Act as a technical mentor and force multiplier for engineers across the organization, setting the gold standard for code quality, system design, and engineering best practices. * Take hands-on ownership of the most difficult technical challenges related to system latency, model inference constraints, and complex data pipelines. * Continuously evaluate and introduce new technologies, frameworks, and engineering practices to improve the speed and reliability of our technical stack. Ideal Profile: * Bachelor's or Master's degree in Computer Science or a related technical field. * 7+ years of experience in software development, with a proven track record operating at a Staff or Principal level within a product-driven organization. * Deep, hands-on experience designing, deploying, and scaling AI/Machine Learning systems or LLM-based applications in a production environment. * Experience with Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) techniques for LLMs and VMs. * Expert-level proficiency in programming languages such as Python, TypeScript or similar. * Exceptional problem-solving skills and the ability to navigate extreme technical ambiguity. * High-level communication skills and the ability to debate architecture with engineers while explaining technical trade-offs to executive leadership. * Extensive experience with cloud platforms such as AWS or Azure. * Deep knowledge of containerized microservices architecture and modern backend APIs. * Experience building software for highly regulated industries where auditability and bias mitigation are critical. * Experience AI coding agents such as Claude Code, Codex, Cursor to accelerate development workflows. Benefits: * Industry Leaders: Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class expertise to our agile team. * Market Leadership: We hold the largest market share in our space, offering a proven ROI and maintaining a 100% customer retention rate, with renewals consistently doubling their previous terms. * Lean & Impact Driven Team: Our small, nimble team makes swift decisions and encourages direct communication and innovation through a flat organizational structure. You’ll make real, meaningful contributions right from the start. * Established Product-Market Fit: AI-Driven Product that helps shape an AI-powered enterprise solution for insurance companies across the US and Canada. * Healthcare benefits: we cover 100% of the premiums for you and 70% for your family members (medical, dental & vision) * 401k matching to help you save for your future * Recharge: 4 weeks of paid time off & 5 additional personal/sick days * Daily team lunches * Bi-annual offsites: we'll make sure everyone at Owl has an opportunity to hang out with teammates IRL at least twice a year Salary Range: $220,000 - $300,000 USD Our salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects a range target for new hire salaries for the position and could be higher or lower based on a multitude of factors, including job-related skills, experience, location, and relevant education or training.

Job Description We are sharing a specialised part-time consulting opportunity for experienced software engineers with strong backgrounds in distributed systems, backend infrastructure, cloud environments, and production-grade systems engineering. This role supports current and upcoming remote consulting opportunities focused on structured technical workflows, distributed systems engineering, technical evaluation, and high-quality project execution. Selected professionals will apply their software engineering expertise to design and optimize backend infrastructure, support scalable distributed services, collaborate across technical workflows, follow technical instructions with precision, and contribute to high-quality technical deliverables. This opportunity is especially well-suited to engineers with strong backend and systems expertise who are comfortable building reliable distributed services and supporting high-performance runtime environments. Key Responsibilities Professionals in this role may contribute to: Distributed Systems & Infrastructure Engineering • Design, build, and optimize distributed infrastructure across high-performance compute environments, • Evaluate and improve system performance across compute, networking, storage, and service layers, identifying and resolving bottlenecks, • Develop core backend systems including services, APIs, and orchestration layers that support complex technical workflows, • Build and maintain runtime infrastructure including task scheduling, state management, inter-service communication, and execution reliability, • Collaborate closely with technical teams to integrate backend services, infrastructure workflows, and production systems, • Participate in synchronous collaboration sessions to review architecture decisions, troubleshoot distributed systems, and iterate on design improvements, • A strong foundation in Computer Science, Software Engineering, or Systems Design with experience building large-scale distributed systems, • Proficiency in one or more backend or systems programming languages such as Go, Rust, Python, C++, Java, Scala, C#, Kotlin, or TypeScript / JavaScript, • Experience with cloud infrastructure such as AWS, GCP, or Azure, • Experience with containerization and orchestration tools such as Docker and Kubernetes, • Strong experience designing production-grade backend services, APIs, and distributed systems, • Excellent collaboration and communication skills Preferred Qualifications, • Familiarity with advanced backend infrastructure, workflow orchestration, or high-scale runtime environments, • Knowledge of networking, data streaming, caching, and performance optimization in distributed systems, • Strong comfort working across both systems engineering and infrastructure contexts, • Ability to operate effectively in fast-moving, technically demanding environments Why This Opportunity, • Apply specialised distributed systems and backend engineering expertise to high-impact technical work, • Contribute to scalable infrastructure, backend services, and production engineering workflows, • Work on practical, detail-oriented assignments with strong real-world relevance, • Collaborate across technical teams on challenging problems in scalability, reliability, and system performance Contract Details, • Independent contractor role, • Fully remote with flexible scheduling, • Hourly compensation of $110–$175 per hour, • Expected commitment of 30–40 hours per week, • Participation in synchronous collaboration sessions is required, with 4-hour windows 2–3 times per week, • Projects may be extended, shortened, or concluded early depending on project needs and performance, • Weekly payments via Stripe or Wise, • Work will not involve access to confidential or proprietary information from any employer, client, or institution, • Please note: We are unable to support H1-B or STEM OPT candidates at this time By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy:

Job Description About the Company: Our client is a company building the world's highest- performance pure digital AI inference chip. We are looking for an experienced software engineer with excellent C/C++ programming skills and at least 5 years of related work experience. The ideal candidate should have a strong background in software design, debugging, and performance analysis, and a deep understanding of system level architecture. Key Requirements: • Degree in Computer Science, Computer Engineering, or related discipline, • Excellent C/C++ programming skills, • Strong experience in software design, debugging, and performance analysis, • Deep understanding of system level architecture, • Experience with Linux driver or Linux Kernel development, • Ability to work independently and lead development efforts, • Minimum 5 years of software engineering or related work experience, • Masters or PhD in Computer Science, Computer Engineering or a related discipline, • Experience with Python and using C/C++ libraries from Python (e.g. using Cython), • Focus on software quality and testing, • Experience architecting low and high level APIs, • Proficient in a variety of development styles and programming languages, • Ability to build projects from the ground up, • Comfortable working within a rapidly evolving project, • 20 vacation days, • Strong health and extended health benefits, • Unlimited sick days

Job Description Position Description: A client of AlphaStaffHCM is looking for a Software Engineer with deep expertise in Mathematical Optimization and algorithm development. This role is critical in architecting the core software engine that drives our proprietary photonic quantum processors, combining complex mathematical formulations with physical optical hardware feedback. Responsibilities • Design and implement the high-performance C++ runtime and Hardware Abstraction Layer (HAL) for photonic optimization computers., • Profile and optimize critical execution paths to minimize latency, addressing bottlenecks in memory bandwidth, cache locality, and data transfer., • Collaborate with FPGA, Electrical engineers and Firmware engineers to ensure to create, test, and optimize device interfaces., • Develop algorithmic enhancements to usage of quantum feedback to solve NP hard optimization problems more efficiently with higher solution quality., • Write efficient, thread-safe code for concurrent hardware control and real-time signal processing., • Design and implement novel algorithms that map optimization and machine-learning problems onto entropy-based photonic quantum processors, including post-processing pipelines., • Build software layers to decompose and orchestrate large-scale optimization problems across multiple photonic hardware resources. Required Qualifications • 6+ years of experience in software engineering with a focus on systems or HPC., • Strong proficiency in C++ and Python, • Strong mathematical background in Convex Optimization, Quadratic Programming (QP), Mixed-Integer Linear Programming (MILP), or Gradient-Free Methods., • Experience with Numerical Analysis and high-performance math libraries (e.g., BLAS, LAPACK, Eigen)., • Familiarity with protocols (e.g., UART, SPI, gRPC, REST) and software integration., • Strong understanding of performance tuning, memory management, and fault-tolerant design., • Familiarity with Linux system programming and build toolchains (CMake, GCC/Clang)., • Experience working in cross-functional teams involving hardware, physics, and software. Preferred Qualifications • Advanced degree (MS/PhD) in Computer Science, Physics, or Mathematics., • Experience with classical optimization solvers (e.g., CPLEX, Gurobi) or heuristic frameworks., • Familiarity with Open Quantum Systems or optical feedback mechanisms., • Background in Digital Signal Processing (DSP) or control theory., • Knowledge of containerized deployment using Docker. Skills C++, High Performance Computing (HPC), Algorithm Design, Mathematical Optimization,, Multi-threading, Linux, CMake, Python, Performance Profiling, Hardware Abstraction, Signal Processing. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job DescriptionAbout Kiddom Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning. The InfraOps team's primary mission is to enable and empower Kiddom's engineering organization by building a scalable, sustainable, and reliable platform that our teams can depend on to meet company KPIs. As Kiddom scales the infrastructure beneath our product becomes increasingly critical — and this is your opportunity to help shape it from the ground up. This is an opportunity to join a small, highly skilled team where your scope is defined by your abilities and passion. If you're tired of the feature factory and want real ownership over meaningful technical decisions, this role was built for you. The work you do here directly impacts students, teachers, and schools across the country — so we take it seriously, and we want teammates who do too. You will: • Grow our DevOps efforts from small scale to large scale multi-region, • Share ownership of the entire infrastructure architecture, • Aim for high availability, high resiliency, • Support the engineering team with tools to evaluate the performance of their code in production environments, speed up CI/CD pipeline, & feature verification, • support the engineering team with tools to speed up CI/CD pipeline, feature verification, • Design and build a scalable, generalized framework for third-party API integrations, • Leverage existing infrastructure and components to build RESTful web services, • Build APIs and robust testing environments for internal and external developers, • Bring an attention to detail - what we do affects people’s educational opportunities and we have to be mindful of thatYou have:, • BS or MS in Computer Science or a related field, • 5+ years professional software engineering experience, • Experience with Java, or Python, Go, Clojure in a production environment, • Experience designing and building REST APIs, • Exposure to authorization technologies (OAuth), • Experience with continuous integration and automation tools and processes, • Strong knowledge of design patterns and software engineering best practices, • Excellent problem solving and debugging skills, • Strong acumen or exposure to DevOps or SRE methodologies, • Keen sense for SecOps., • Functional experience using internal tools: javascript, golang, and python, • Prior success scaling infrastructure at a rapid growth saas startup, • Strong empathy for educators and students, • Passion for improving education equityNice to have

Job DescriptionAbout Fractional AI Fractional AI builds bespoke gen AI software to transform businesses. Every C-suite in the country is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more). By joining Fractional AI, you’re stepping onto a San Francisco, NYC, and Dubai-based team working on gen AI projects for top companies from the comfort of an engineering-first startup. About the Role Joining Fractional AI as a Software Engineer, you’ll play a leading role in building and shipping AI applications for our customers - from understanding customer needs to deploying solutions in their environments - all while shaping our engineering and broader Fractional culture for the next 100+ engineers. By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world. What you bring to the table: * You write exceptional code + deeply care about the craft of coding (5+ years of experience): you build elegant, production-ready code; you have strong proficiency across multiple programming languages * You are excited about AI: you have some demonstrated interest in AI - Whether you've experimented with LangChain, built an LLM-based side project, or simply have become a ChatGPT power user * You love solving hard, new problems: you are comfortable self-teaching, asking “why?,” and experimenting to solve problems you haven’t seen before * You are ‘start-up ready’: you jump in without instruction, embrace a ‘no job too big, no job too small’ mindset, and want to shape strategy and culture * You are comfortable talking with users: you deeply care about the user and skillfully navigate user conversations to ensure what we’re building meets their needs * You are a great teammate: you are comfortable helping others (and asking for help), you champion integrity in everything, and want to build a one-in-a-career culture of personal growth What you'll do: * Design and develop custom AI solutions tailored to the unique needs of our customers, ensuring seamless integration and scalability * Partner with a high-caliber team across the full project lifestyle, from requirements gathering, to prototyping, system design, coding, testing, deployment, and support * Actively shape our engineering and broader company culture - from how we learn, to how we hire, to how we celebrate - you’ll shape how we make Fractional a place we all love working Our tech stack: * We’re generally tech stack agnostic - we work in our customers’ environments and code bases. A lot, but definitely not all, of our work is in python. * After working at Fractional AI for a few years, you’ll be an expert at using the various foundational models, building with tools like Langchain/Langsmith, and various other tools and frameworks (e.g., OpenPipe, Pinecone, ChromaDB). A day in the life: * You're on a "Project Team" designed for that client's high-impact AI need- it may be automating a call center with AI phone agents or building an AI content moderation system – each project is different * You’ll dive into one of the higher priority items for the morning (say building out an evals suite). You have a weekly standup with the customer (the CTO at the client) to chat through tradeoffs, progress, and timeline. * You join team lunch (which doubles as the Fractional AI cross-project standup) to hear about different projects we’re working on … the lunch will turn into a lively debate about Weights and Biases v. Braintrust capabilities. * You’ll have some solo heads down time to continuing jamming on the high priority pieces for that print. * Maybe you join a prospective customer call to share your perspective on what’s technically feasible on that potential project. Who you'll work with: * This role will collaborate closely with Eddie, our Co-Founder and CTO. * You’ll work very closely with other engineers on the team -- most project teams consist of 2-5 engineers and a PM. * You’ll also spend a lot of time partnering with our CEO, Chris, and Chairman, Travis. Why you should (and shouldn’t) join us We’re big believers in transparency and know joining a company is a big decision. We’re not the best fit for everyone and try to be clear on what we are and what we’re not so you make the choice that’s right for you. Why join Fractional? * Build on the forefront of applied AI: You’ll have a front row seat to how the world’s leading companies are actually deploying AI solutions. By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world. * Solve big, real problems: Companies come to us when they can’t solve some of their biggest problems themselves. For you, that means learning everyday, never getting bored, and working across a range of industries, customers, and products. * Learn with and from the best in person: We're a team of senior engineers (some former founders, some former engineering leaders) who only want to work on high-impact projects. Working elbow to elbow in our San Francisco, NYC, or Dubai office means things like team lunches, quick brainstorming, and the right amount of banter. Why shouldn't you join Fractional? * Preference for just speed or quality: We love hacking things together for a proof of concept but ultimately our code will be put into production in our customers’ environments - you need to enjoy balancing elegance and expediency. * Predictability is important to you: You’ll be working across customers, programming languages, industries and projects, which means you won’t be becoming an expert in the same product suite or serving the same user day after day. * Customers aren’t your thing: You’ll spend most of your time coding but will be closer to the customer than in most engineering roles. You’ll frequently interact with engineers from the customer’s team to ask questions and problem solve. A deep understanding and appreciation of the customer is crucial. Our Values Overdeliver. Overuse AI. Over "engineer" the culture. Location San Francisco, CA New York, NY Work Arrangement: 4 days in-person, Fridays remote Benefits * 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills. * 📈 401k with Matching: Invest in your future with our company-matched retirement plan. * 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate. * 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. * 🚑 Health FSA: Manage out-of-pocket health expenses effectively. * 🚌 Commuter Benefits: Make your travel to work easier and more affordable. * 🏥 Life Insurance: Providing peace of mind for you and your loved ones. * 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit. Ready to join us? Compensation Range: $160K - $350K

Job DescriptionAbout DuettiDuetti is redefining how independent music creators monetize and grow their careers. Founded in 2022 by CEO Lior Tibon and COO Christopher Nolte, Duetti partners with creators to unlock the value of their catalogs through flexible, straightforward deals, while also offering top-tier catalog management, distribution, and marketing services. Since its founding, Duetti has partnered with over 1,100 music creators across 40 countries, including Connor Price, Ingrid Contreras, and Brent Morgan, helping them monetize their music on their own terms and reach new audiences. Backed by leading investors including The Raine Group, Flexpoint Ford, Nyca Partners, Viola Ventures, and Roc Nation, Duetti has raised over $635 million in capital to fund independent music creators. Fueled by a belief in independence and financial empowerment, Duetti is building a more sustainable future for music creators everywhere. With offices in New York City, Los Angeles, Miami, and London, Duetti offers competitive benefits, flexible paid time off, and a hybrid work model. We pride ourselves on a culture that blends ambition with genuine care – an environment where your work immediately shapes outcomes for artists worldwide. Job DescriptionAt Duetti, data is at the heart of everything we do. We are seeking a skilled Backend Developer with experience in DevOps and full-stack development to join our team. In this role, you will be instrumental in optimizing the infrastructure that powers our data-driven initiatives, supporting cloud deployment, and enhancing the developer experience. Your expertise will contribute to building scalable and robust systems, enabling efficient deployment, monitoring, and management of our applications. As a Backend Developer at Duetti, you will collaborate closely with data engineers, data scientists, and cross-functional teams to understand their requirements and implement high-quality solutions. We provide our engineers with the platform to enhance their skills and grow in their careers. We are looking for a talented individual with strong back-end development skills, experience in cloud technologies, and a good understanding of scalable infrastructure systems. Proficiency in scripting languages such as Python is essential. Familiarity with cloud platforms like AWS and experience with containerization technologies, such as Docker or Kubernetes, are required. A problem-solving mindset, the ability to work collaboratively, and a passion for building efficient and scalable systems are key qualities for success in this role. Join our team and contribute to the growth and success of Duetti as we leverage data and the cloud to transform the music industry. We offer a competitive compensation and benefits package, along with opportunities for professional development and growth. You Will: • Design, develop, and maintain scalable and robust back-end systems to support data processing, analysis, and API services., • Collaborate with front-end developers and cross-functional teams to integrate server-side logic with user-facing elements., • Design and implement secure, scalable APIs to facilitate communication between services., • Contribute to the design and optimization of our cloud-based architecture, ensuring reliable and secure operations., • Implement cloud-based services and technologies to support efficient data processing and storage., • Work with containerization technologies, such as Docker or Kubernetes, to ensure scalability and flexibility., • Automate deployment, monitoring, and maintenance processes to improve efficiency and reduce downtime., • Troubleshoot and debug infrastructure-related issues, providing timely resolution and ensuring smooth system operations., • Collaborate closely with data engineers, data scientists, and other stakeholders to understand requirements and implement high-quality solutions., • Stay updated with the latest trends and technologies in cloud computing, API design, and infrastructure development, proposing innovative solutions to enhance our systems.Requirements:, • Bachelor’s degree in Computer Science, Engineering, or a related field., • 5+ years of proven experience as a Backend Developer, DevOps Engineer, or similar role, with hands-on experience in building and maintaining scalable infrastructure., • Strong experience in API design and implementation, ensuring security and scalability., • Proficiency in back-end programming languages such as Python, and experience with full-stack development is a plus., • Strong understanding of scalable architecture and best practices for infrastructure and API development., • Familiarity with cloud platforms, such as AWS, and experience with cloud services (e.g., EC2, S3, Lambda, EKS)., • Experience with containerization technologies, such as Docker or Kubernetes., • Knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or CircleCI., • Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation., • Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or Datadog.

Job Description At Fuze Health, we put patients first and tirelessly address the most pressing needs in healthcare. We empower millions to digitally connect with care providers, essential health resources and needed treatments – and enable care providers, employers, health plans and life sciences companies to meaningfully enhance quality, outcomes and value. We are dedicated to helping our partners evolve and modernize to meet emerging patient and marketplace needs. Fuze Health's foundation is built upon the strategic combination of several proven, technology-powered innovators in the digital health, diagnostics, and pharmacy sectors. Our growing portfolio brings together the capabilities of industry leaders including LetsGetChecked, Truepill, and Alto Pharmacy, to create a distinctive, unified force in healthcare. Together, we have the shared vision, advanced capabilities and talented teams to deliver next-generation solutions that patients and healthcare partners need today and into the future. We are looking for a highly motivated Graduate Software Engineer to join our US technology team. This is a fantastic opportunity for an entry-level professional to gain hands-on experience in a real-world software environment. You will be at the intersection of product engineering, cloud computing, and complex data environments. You will play a crucial role in our engineering team, focusing on the analysis of logs and data to assist in the troubleshooting and resolution of key issues. Responsibilities • Log and Data Analysis: You will be responsible for reviewing application logs, system metrics, and operational data to identify patterns, errors, and potential issues., • Issue Triage & Resolution: Work closely with our engineering teams to triage incoming bugs and support tickets, providing them with initial findings and relevant information from your log analysis., • Feature Development: You will be introduced to bug fixing and the initial development of new features, helping to build out our products and solutions., • Collaborate and Document: Serve as a key link between our Quality Assurance, Operations, and and Engineering teams, ensuring seamless communication and a quick path to resolution. Maintain clear and concise documentation of issues, findings, and resolutions in our knowledge base.What we are looking for….., • Education: A Bachelor's degree in Computer Science, Software Engineering, or a related field., • Problem-Solver: You have a natural curiosity and a passion for figuring out problems and getting to the root cause of an issue. You are a disciplined creator of automated tests for your own code., • Eager to Learn: A genuine interest in software development and a strong desire to build a career in engineering., • Independent & Adaptable: You can work autonomously to find solutions to complex problems and be flexible and responsive to changing requirements and priorities., • Communicator: Excellent written and verbal communication skills, with the ability to explain complex technical issues to a variety of audiences., • Technical Skills: Some familiarity with programming languages (e.g., Python, C#, JavaScript) and a basic understanding of software systems is a plus.Desired Skills, • Experience with Application Observability tools such as Splunk or Datadog., • Experience with Cloud Platforms (e.g., AWS, Azure, GCP). Benefits: Alongside a salary of $76,240 - $95,300 (Depending on Experience), we offer a range of benefits including: Full-time employee benefits include: dental, vision, and multiple group medical plans to choose from, a 401(k) retirement savings plan, group life insurance, (AD&D) insurance, flexible spending account (FSA) and health savings account (HSA), commuter benefits, employer-paid short-term (STD) and long-term disability (LTD) insurance, and additional supplemental insurance plans (spouse life insurance, legal insurance, an employee assistance program, home health testing kits, and a fertility medication discount program). Employees are also provided flexible vacation time, accrued paid sick time, 10 paid holidays, (2 floating holidays for full time non-exempt employees) , and up to 16 weeks of paid parental leave for a birthing parent, and up to 8 weeks of paid bonding leave for non-birthing parents, and up to 12 weeks of family caregiver leave, including 4 paid, to support care for a family member, and a Lifestyle Spending Account allowance each month. #LI-IF #LI-Remote At Fuze Health, we are committed to fostering an inclusive environment that celebrates diversity in all its forms. We believe that the diversity of thought, background, and experience strengthens our teams and drives innovation. We are an equal-opportunity employer and do not discriminate on the basis of race, ethnicity, religion, color, place of birth, sex, gender identity or expression, sexual orientation, age, marital status, military service status, or disability status. Our goal is to ensure that everyone feels valued and empowered to thrive. Fuze Corporate Inc. and its subsidiaries respects your privacy and is committed to protecting your personal information. Please read our Candidate Privacy Notice which explains how we collect, use, disclose, and protect personal information about job applicants during the recruitment and hiring process.

Job Description As a technical leader, you'll drive high-impact, customer-facing projects across major business lines and play a pivotal role in advancing VTS's evolution into an AI-powered platform, further cementing our industry-leading position. To excel in this role, you'll leverage your experience with complex, tightly integrated applications and services, understanding both their challenges and immense opportunities. Your expertise in building and deploying AI-powered systems will be crucial, always underpinned by the same engineering rigor that guarantees quality, reliability, and scalability, ultimately leading to exceptional customer experiences. Please note that this opportunity is located in New York, NY, and requires this hire to work from our office four days a week. To thrive in this role you hold: • Technical Leadership: You'll define the technical vision and architecture, ensuring the quality, scalability, and reliability of our cloud-deployed software systems., • Strategic Collaboration: You'll partner closely with other Staff Engineers to align and coordinate technical investments across major product areas., • Influential Consensus Building: You have a demonstrated ability to build consensus and drive alignment among diverse technical leads., • Adaptable Expertise: You are technology-agnostic, quickly orienting to new codebases and tools. You also proactively explore and champion emergent technologies and their potential to solve complex problems. You possess strong programming skills in one or more languages such as Ruby, TypeScript, Go, or Python, or Ruby., • Dedicated Mentorship: You prioritize the growth of both junior and senior engineers. You're adept at pairing, providing insightful feedback through one-on-ones, and offering comprehensive written reviews of technical proposals and pull requests. You also actively support teams in their daily development as a technical mentor., • Impactful Problem Solving: You are a skilled problem solver capable of identifying and resolving complex technical issues with deep expertise, while also serving as a strategic thinker who creatively advances broad initiatives. With the VTS Platform, consisting of VTS Lease, VTS Market, VTS Activate, and VTS Data, every stakeholder in real estate is given real-time market information and workflow tools to do their job with unparalleled speed and intelligence. VTS is the global leader, with more than 60% of Class A office space in the U.S., and 13 billion square feet of office, residential, retail, and industrial space is managed through the platform worldwide. VTS is utilized by over 45,000 professionals and over 1.2 million total users each day, including industry-leading customers such as Blackstone, Brookfield Properties, LaSalle Investment Management, Hines, BXP, Oxford Properties, JLL, and CBRE. VTS maintains offices in New York, London, Toronto, Chicago. To learn more about VTS and view our open roles, visit us at vts.com or follow us on Instagram (@WeAreVTS) or LinkedIn. Pay Transparency At VTS, we pride ourselves on articulating a clear and transparent philosophy around equitable, impartial compensation that will allow us to recruit and retain an exceptional team. The base salary is market-driven at the time of offer and is based on tier 1 market data. The salary for this role will range between $170,000 and $220,000 and is determined by several factors, including your skills, prior relevant experience, quality of interviews, leveling, and geography. EEO GuidelinesVTS embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.All your information will be kept confidential according to EEO guidelines. For more information about what we collect and how we use it, please refer to the Candidate Privacy Statement. If you have a disability or special need that requires accommodation at any time during the recruitment process, please let us know at Privacy Policy

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Applications Engineering team in the Data Infrastructure organization builds AI-native analytics platforms and first-party applications that embed governed data directly into operational workflows. The team develops CoreWeave's internal data-native software products, transforming data into operational capability through intelligent interfaces, automation, and decision systems. This includes AI-native analytics platforms (e.g., UNION) and mission-critical applications such as capacity planning and scenario modeling. These systems encode CoreWeave's differentiated operating knowledge into software, enabling scalable, data-driven decision-making across the business. About the role: As a Senior Software Engineer, you will design and build production-grade, full-stack applications that make data accessible, actionable, and embedded within CoreWeave's core workflows. You will develop AI-enabled user experiences, scalable backend services, and intuitive interfaces that abstract away the complexity of underlying data systems. Day-to-day, you'll work across the stack - from React-based frontends to backend services running on Kubernetes - while integrating AI/LLM capabilities into real-world applications. This role offers high visibility and the opportunity to directly influence how data is consumed and operationalized across the company. Who You Are: • 7+ years of experience building production-grade software applications, including both backend services and modern web frontends, • Strong proficiency in backend programming languages (Python, Go, Java, C#) and frontend programming languages (JavaScript, TypeScript), • Strong experience building modern frontend applications using frameworks such as React and Next.js, • Hands-on experience with containerization and deployment tooling (e.g., Docker, Helm), • Experience building and operating APIs and services (e.g., REST, gRPC) with a focus on performance and reliability, • Experience developing and deploying AI/ML/LLM-powered applications in production environments, • Familiarity with data platforms and tools (e.g., Spark, Kafka, or similar systems) and integrating them into application workflows, • Experience implementing software development best practices, including CI/CD, automated testing, observability, and secure application design, • Experience building AI-native applications such as text-to-SQL interfaces, copilots, or automated insight-generation systems, • Experience designing and building scalable, distributed systems deployed in cloud-native environments (e.g., Kubernetes), • Familiarity with real-time data processing or streaming architectures, • You love building user-facing applications that turn complex data into intuitive experiences, • You're curious about applying AI to real-world problems, not just prototypes At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: The Dating Outcomes group is responsible for ensuring that people see their most compatible matches, helping them present themselves more effectively, and start meaningful conversations when they match. In short, we help people go on great dates! We are hiring Staff Machine Learning Engineers to help us build the foundations of an AI first dating experience using the latest advancements in the field, leveraging Hinge’s years of preference data. You can expect to build recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models, as well as build and deploy real-time predictive models that directly impact the experience of millions of users. This is a fast-growing team, and you will have the opportunity to own and define the strategy, vision, and plan for accelerating machine learning at Hinge.Responsibilities • Design and own foundational research and models that power our recommendations ecosystem., • Identify the next step change in our technical capabilities, conduct state-of-the-art applied research, and move them into production using best practices in machine learning engineering., • Design and implement solutions that prioritize availability, scalability, operational excellence, and cost management, while delivering incremental impact to our daters., • Collaborate closely with Directors and VP+ to understand and shape Hinge’s strategic direction, as well as work with other Machine Learning Engineers, Product Managers, Data Engineers, and Scientists to make that a reality., • Coach, mentor, and educate Machine Learning Engineers on current and SOA research, technologies, and best practices of practicing machine learning at scale.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java, or C++ and a deep understanding of low-level deep learning computation fundamentals., • System design & architecture: Proven track record of research, training, and deployment of DNNs at scale. Deep understanding of distributed computing for learning, data processing, and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, Databricks, KubeFlow, or W&B is a plus., • ML knowledge: Deep understanding of various DNN architectures, track record of building, debugging, and fine-tuning models., • DevOps skills: Track record of deploying, managing, and orchestrating offline and online deep learning models at scale., • Data engineering knowledge: Skills in handling and managing large datasets, including data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds. Proven ability to influence company strategy and direction is a plus., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 8+ years of experience, depending on education, as an MLE., • 4+ years of experience working in a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes., • 4+ years of experience in designing and developing online and production grade ML systems., • 3+ years of experience leading projects with at least 2 other team members through completion. #Hinge .

Job Description Trexquant is a growing systematic fund at the forefront of quantitative finance, with a team of world-class researchers and engineers. As we continue to expand our trading operations, we are investing heavily in building the next generation of our quantitative research & trading platform. We are seeking an Early Career Software Engineer with strong programming skills to join our engineering team. In this role, you will work closely with experienced engineers and quantitative researchers to develop the infrastructure that powers systematic trading, including data pipelines, back testing tools, and execution systems. You will have the opportunity to contribute to greenfield development projects, where you’ll help build new systems from the ground up, driving innovation and scalability in our technology stack. Responsibilities • Full lifecycle development of low-latency, high-throughput research and trading systems using C++, C, Java, or Rust, • Build and optimize data processing pipelines to ensure reliable access to large, high-quality datasets., • Assist in developing tools for back testing, model training, and strategy evaluation., • Collaborate with researchers and traders to deliver technical solutions that improve research productivity and trading performance., • Participate in code reviews, testing, and documentation to maintain high-quality standards., • BS/MS degree in Computer Science, or a related STEM field, • Strong knowledge of data structures, algorithms, and object-oriented programming., • Proficiency in one or more programming languages: C++, C, Python, Java, or Rust., • Familiarity with Linux environments, • Competitive salary plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment., • PPO health, dental, and vision insurance premiums fully covered for you and your dependents., • Pre-tax commuter benefits., • Weekly company meals. Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary range is $130,000 - $175,000 depending on the candidate’s educational and professional background. Base salary is one component of Trexquant’s total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer.

Job Description Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato's unique technology inspired a brand-new product category, later named "SASE" by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don't miss it! About the Role We are looking for a highly technical Product Enablement Data Engineer to design, generate, and manage realistic data feeds that power our cloud-native cybersecurity and networking platform. In this role, you will focus on traffic generation, attack simulation, SaaS configuration automation, and telemetry validation—ensuring our platform reflects real-world customer environments and behaviors. The Product Enablement team is responsible for unlocking the full potential of our platform through engaging, hands-on learning experiences. You will play a critical role in helping customers understand the technical value of our solution by creating realistic scenarios that mirror real-world use cases. The data feeds you create will be used for various purposes, including demo accounts, sales-led demos, proof-of-value (PoV), sales enablement labs, and other enablement functions. To scope requirements and get feedback, you will collaborate within our team of content developers and lab engineers, as well as product management, engineering, sales engineers, and other enablement teams. To develop and deliver finished products that meet the requirements, you will collaborate closely with our lab engineers and content developers, as well as other data engineers throughout the organization. Unlike traditional data engineering roles, this position focuses on generating synthetic yet highly realistic network traffic and security behaviors to drive product validation, analytics, and enablement outcome.What You'll Do Design Realistic Traffic & SaaS Simulations * Build repeatable simulations of SaaS application traffic (e.g., collaboration tools such as Zoom) * Simulate network conditions including latency, jitter, packet loss, and bandwidth shaping * Develop traffic generation tools and orchestration workflows for scalable, repeatable scenarios Intrusion & Threat Simulation * Design and implement attack simulations aligned with frameworks such as MITRE ATT&CK * Simulate real-world threat behaviors, including: * Lateral movement * Command-and-control (C2) traffic * Data exfiltration * Brute force and credential abuse * Build modular, reusable attack simulation libraries * Validate detection accuracy against simulated attack patterns SaaS Configuration & API Automation * Configure SaaS environments to ingest and process simulated traffic * Leverage APIs to: * Provision tenant environments * Configure policies and product features * Retrieve telemetry and system data * Automate configuration and deployment workflows Cloud-Based Traffic Infrastructure * Deploy and manage cloud environments (AWS and/or Azure) for traffic and attack simulation * Configure VPN connectivity into SaaS-managed environments * Maintain scalable infrastructure for consistent testing and demos Data Validation & Observability * Build dashboards to monitor data integrity, telemetry completeness, and detection behavior * Implement alerting for data gaps or system degradation * Perform root-cause analysis and troubleshoot telemetry or pipeline failures What You Bring Requirements * 10+ years of experience in networking and/or cybersecurity * 5+ years of experience in data, network, or security engineering * Strong programming skills in Python * Experience working with REST APIs and authentication workflows * Hands-on experience with Azure (AWS is a plus) * Experience with Infrastructure-as-Code tools (e.g., Terraform) * Experience generating network traffic using tools such as Scapy, tcpreplay, or iperf * Strong Linux experience, including networking tools (tcpdump, curl, ip, netstat) * PowerShell scripting for Windows automation and system provisioning * Deep understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, TLS) * Experience configuring VPNs and secure connectivity * Familiarity with MITRE ATT&CK or similar frameworks Preferred Qualifications * Networking or security certifications (e.g., CCNA) * Experience building demo or lab environments * Experience supporting enablement or training platforms * Experience with GraphQL APIs * Experience simulating adversary behavior in controlled environments * Familiarity with traffic shaping tools (tc, netem) * Experience with observability platforms (Grafana, ELK, Prometheus) * Background in cybersecurity, SASE, or networking products Why This Role Matters This role ensures our platform behaves as it would in real customer environments—through realistic traffic patterns, authentic attack simulations, and validated telemetry. The environments you build will directly impact how we demonstrate, validate, and deliver our product to customers. Your work will help improve detection accuracy, strengthen product validation, and elevate the quality of our demos and enablement experiences. Cato provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Health Savings/Flexible Spending Accounts, flexible time-off, paid parental leave and disability benefits. As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status. #LI-GG1

Job DescriptionCompany Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description Are you passionate about building AI systems that solve real operational challenges within the education sector? We're looking for a Senior Software Engineer to lead the vision setting for and deployment of AI solutions across Uncommon Schools—from intelligent agents that automate workflows to secure integrations with our core systems. In this role, you'll translate business needs into scalable AI infrastructure, mentor developers across functions, and help shape how our organization leverages generative AI. Your work will directly impact how thousands of educators and administrators work each day. Duties & Responsibilities Solution Vision & Architecture • Gather requirements from stakeholders across Uncommon and translate business challenges into comprehensive technical specifications for end-to-end AI systems, • Design and architect AI solutions including data flows, model selection, and integration patterns that balance innovation with reliability, • Rapidly prototype and build Proofs of Concept and Minimum Viable Products using Large Language Models, Retrieval-Augmented Generation (RAG) pipelines, and AI agent frameworks, • Architect and deploy production-grade AI agents that automate complex workflows while ensuring scalability, observability, and continuous performance monitoring, • Establish reusable AI stack templates and low-code tools that empower non-technical team members to develop solutions independently, • Maintain comprehensive documentation of AI environments, tools, and data flows to ensure organizational clarity and consistency, • Develop and maintain a library of "Prompt Blueprints" and best practices for AI implementation across the organization, • Ensure 100% compliance with security audits regarding personally identifiable information handling within AI systems, • Coach and support adjacent teams on AI development methodologies and emerging best practicesQualifications Required • Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional experience, • 7+ years of professional software development experience, • 5+ years of hands-on experience building integrations using APIs between applications, • 5+ years working with source control and continuous integration tools (such as GitLab), • Proficiency coding or scripting in at least one programming language (Python, SQL, JavaScript/TypeScript, or Node.js), • Experience with frequent, incremental code testing and deployment practices, • Master's degree in Computer Science, Data Science, or related field, • Hands-on experience with AI frameworks such as LangChain, LlamaIndex, TensorFlow, or PyTorch, • Expertise deploying solutions on cloud platforms (AWS Bedrock/SageMaker or Google Cloud Vertex AI), • Experience working with modern data tooling (e.g., dbt, Airflow) or similar frameworks for data transformation and workflow orchestration is a plus, • Experience designing and optimizing prompts for generative AI models, • Track record mentoring or coaching other developers on technical practices Additional Information Compensation Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. The full compensation range for this role is $120,700-$142,000. Typically, new hires who fully meet all qualifications listed in the job description will start at $124,300. Starting compensation below this reflects candidates with less experience or qualifications. Offers near the top end of the range are reserved for candidates who significantly exceed the qualifications, bringing extensive experience and specialized expertise beyond what is listed. Compensation determinations consider relevant professional experience and tenure with Uncommon Schools. Additionally, because we value internal growth and tenure, current staff members are not subject to salary caps within this range. Benefit Highlights • 19 days of paid time off, • 3 weeks of paid Winter and Summer org-wide holidays, • Comprehensive Health, Dental, and Vision insurance plans, • 403(b) retirement savings program + employer match, • Paid leave of absence options (parental, medical, disability, etc.), • Mental health and counseling support + wellness benefits, • Pre-tax flexible spending, dependent care, and health saving accounts, • Location: New York, NY | Hybrid (3 days/week in-office), • Schedule: 3 days per week in-office in accordance with Uncommon Schools policy, • On-call availability: You'll be on-call for data infrastructure emergencies, • Potential after-hours work: Data migrations, emergency pipeline fixes, and critical infrastructure maintenance may occasionally require work outside standard business hours, • Travel: Minimal travel, including quarterly school visits and routine local travel within the region As an equal opportunity employer, Uncommon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email .

Job DescriptionAbout Fractional AI Fractional AI builds bespoke gen AI software to transform businesses. Every C-suite in the country is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more). By joining Fractional AI, you’re stepping onto a San Francisco, NYC, and Dubai-based team working on gen AI projects for top companies from the comfort of an engineering-first startup. About the Role Joining Fractional AI as an AI Engineer, you’ll play a leading role in building and shipping AI applications for our customers - from understanding customer needs to deploying solutions in their environments - all while shaping our engineering and broader Fractional culture for the next 100+ engineers. By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world. What you bring to the table: * You write exceptional code + deeply care about the craft of coding (4+ years of experience): you build elegant, production-ready code; you have strong proficiency across multiple programming languages * You have a track record building with Large Language Models: you have experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, etc. * You love solving hard, new problems: you are comfortable self-teaching, asking “why?,” and experimenting to solve problems you haven’t seen before * You are ‘start-up ready’: you jump in without instruction, embrace a ‘no job too big, no job too small’ mindset, and want to shape strategy and culture * You are comfortable talking with customers: you deeply care about the customer and skillfully navigate customer conversations to ensure what we’re building meets their needs * You are a great teammate: you are comfortable helping others (and asking for help), you champion integrity in everything, and want to build a one-in-a-career culture of personal growth What you'll do: * Design and develop custom AI solutions tailored to the unique needs of our customers, ensuring seamless integration and scalability * Partner with a high-caliber team across the full project lifestyle, from requirements gathering, to prototyping, system design, coding, testing, deployment, and support * Actively shape our engineering and broader company culture - from how we learn, to how we hire, to how we celebrate - you’ll shape how we make Fractional a place we all love working Our tech stack: * We’re generally tech stack agnostic - we work in our customers’ environments and code bases. A lot, but definitely not all, of our work is in python. * After working at Fractional AI for a few years, you’ll be an expert at using the various foundational models, building with tools like Langchain/Langsmith, and various other tools and frameworks (e.g., OpenPipe, Pinecone, ChromaDB). A day in the life: * You're on a "Project Team" designed for that client's high-impact AI need- it may be automating a call center with AI phone agents or building an AI content moderation system – each project is different * You’ll dive into one of the higher priority items for the morning (say building out an evals suite). You have a weekly standup with the customer (the CTO at the client) to chat through tradeoffs, progress, and timeline. * You join team lunch (which doubles as the Fractional AI cross-project standup) to hear about different projects we’re working on … the lunch will turn into a lively debate about Weights and Biases v. Braintrust capabilities. * You’ll have some solo heads down time to continuing jamming on the high priority pieces for that print. * Maybe you join a prospective customer call to share your perspective on what’s technically feasible on that potential project. Who you'll work with: * This role will collaborate closely with Eddie, our Co-Founder and CTO. * You’ll work very closely with other engineers on the team -- most project teams consist of 2-5 engineers and a PM. * You’ll also spend a lot of time partnering with our CEO, Chris, and Chairman, Travis. Why you should (and shouldn’t) join us We’re big believers in transparency and know joining a company is a big decision. We’re not the best fit for everyone and try to be clear on what we are and what we’re not so you make the choice that’s right for you. Why join Fractional? * Build on the forefront of applied AI: You’ll have a front row seat to how the world’s leading companies are actually deploying AI solutions. By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world. * Solve big, real problems: Companies come to us when they can’t solve some of their biggest problems themselves. For you, that means learning everyday, never getting bored, and working across a range of industries, customers, and products. * Learn with and from the best in person: We're a team of senior engineers (some former founders, some former engineering leaders) who only want to work on high-impact projects. Working elbow to elbow in our San Francisco, NYC, or Dubai offices means things like team lunches, quick brainstorming, and the right amount of banter. Why shouldn't you join Fractional? * Preference for just speed or quality: We love hacking things together for a proof of concept but ultimately our code will be put into production in our customers’ environments - you need to enjoy balancing elegance and expediency. * Predictability is important to you: You’ll be working across customers, programming languages, industries and projects, which means you won’t be becoming an expert in the same product suite or serving the same user day after day. * Customers aren’t your thing: You’ll spend most of your time coding but will be closer to the customer than in most engineering roles. You’ll frequently interact with engineers from the customer’s team to ask questions and problem solve. A deep understanding and appreciation of the customer is crucial. Our Values Overdeliver. Overuse AI. Over "engineer" the culture. Location San Francisco, CA New York, NY Work Arrangement: 4 days in-person, Fridays remote Benefits * 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills. * 📈 401k with Matching: Invest in your future with our company-matched retirement plan. * 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate. * 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. * 🚑 Health FSA: Manage out-of-pocket health expenses effectively. * 🚌 Commuter Benefits: Make your travel to work easier and more affordable. * 🏥 Life Insurance: Providing peace of mind for you and your loved ones. * 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit. Ready to join us?

Job Description We are sharing a specialised part-time consulting opportunity for experienced software engineering, data science, and systems design professionals with strong technical depth, real-world engineering experience, and the ability to evaluate complex coding and technical reasoning outputs at a high level. This role supports current and upcoming remote consulting opportunities focused on structured technical workflows, technical evaluation, quality review, and high-quality project execution. Selected professionals will apply their technical expertise to evaluate coding and engineering responses, validate technical accuracy through fact-checking and code execution, identify conceptual or logical issues, follow technical instructions with precision, and contribute to high-quality technical deliverables. This opportunity is especially well-suited to professionals with strong engineering judgment who are comfortable assessing code, technical reasoning, and solution quality across a variety of tasks and complexity levels. Key Responsibilities Professionals in this role may contribute to: Technical Evaluation & Response Review • Evaluate coding and software engineering responses for accuracy, reasoning, clarity, and completeness, • Assess outputs across programming, data science, and systems design tasks of varying complexity, • Conduct fact-checking using trusted public sources and authoritative references, • Execute code and validate outputs using appropriate tools to test correctness and reliability, • Annotate responses by identifying strengths, weaknesses, and factual or conceptual inaccuracies, • Identify subtle bugs, logical flaws, inefficiencies, edge cases, and misleading explanations, • Apply consistent evaluation standards using defined taxonomies, benchmarks, and detailed review guidelines, • A BS, MS, or PhD in Computer Science or a closely related field, • 5+ years of real-world experience in software engineering, data science, systems design, or related technical roles, • Expertise in at least two relevant programming languages such as Python, Java, C++, C, JavaScript, Go, Rust, Ruby, SQL, PowerShell, Bash, Swift, Kotlin, R, TypeScript, or HTML/CSS, • The ability to independently solve HackerRank or LeetCode medium- and hard-level problems, • Experience contributing to well-known open-source projects, including merged pull requests, • Significant experience using modern coding tools and a strong understanding of their strengths and failure modes, • Strong attention to detail and comfort evaluating complex technical reasoning and subtle implementation flaws, • Fluent English language skills Preferred Qualifications, • Prior experience with technical evaluation, model review, or data annotation work, • Track record in competitive programming, • Experience reviewing code in production environments, • Familiarity with multiple programming paradigms or technical ecosystems, • Ability to explain complex technical concepts clearly to non-expert audiences Why This Opportunity, • Apply specialised technical expertise to high-impact project work, • Contribute to technical evaluation, code review, and quality improvement workflows, • Work on practical, detail-oriented assignments with strong relevance to software engineering and technical problem-solving, • Flexible remote work with competitive hourly compensation Contract Details, • Independent contractor role, • Fully remote with flexible scheduling, • Open to both US-based and non-US-based professionals, • Full-time or part-time contract work options available, • Hourly compensation of $65–$110 per hour, • Fluent English language skills required, • Projects may be extended, shortened, or concluded early depending on project needs and performance, • Weekly payments via Stripe or Wise, • Work will not involve access to confidential or proprietary information from any employer, client, or institution, • Please note: We are unable to support H1-B or STEM OPT candidates at this time By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy:

Job DescriptionFull-time Staff Software EngineerAbout Us We are a dynamic and innovative technology company dedicated to creating cutting-edge software solutions that transform businesses and enhance user experiences. Our team of passionate professionals works collaboratively to tackle complex challenges and deliver high-quality products that make a difference in the world. Job Overview We are seeking a highly skilled and experienced Full-time Staff Software Engineer to join our growing team. As a Staff Software Engineer, you will play a crucial role in designing, developing, and maintaining our core software products. You will be responsible for leading technical initiatives, mentoring junior developers, and contributing to the overall architecture and direction of our software systems. Key Responsibilities • Design, develop, and maintain complex software systems using a variety of programming languages, frameworks, and technologies, • Lead the development of new features and improvements to existing products, ensuring high-quality code and optimal performance, • Collaborate with cross-functional teams, including product managers, designers, and other engineers, to define and implement technical solutions, • Provide technical leadership and mentorship to junior developers, fostering a culture of continuous learning and improvement, • Participate in code reviews, ensuring adherence to best practices, coding standards, and architectural guidelines, • Contribute to the overall software architecture and technology stack decisions, • Identify and resolve complex technical issues and bottlenecks in the development process, • Stay up-to-date with emerging technologies and industry trends, evaluating their potential impact on our products and processes, • Write and maintain technical documentation for software systems and processes, • Participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives, • Collaborate with DevOps teams to ensure smooth deployment and operation of software systems, • Contribute to the development of internal tools and frameworks to improve team productivity and efficiency Required Qualifications • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, • 7+ years of professional software development experience, • Strong proficiency in full-stack development, including both frontend and backend technologies, • Expert-level knowledge of at least one modern programming language (e.g., JavaScript, Python, Java, C#, Go), • Extensive experience with web technologies, including HTML5, CSS3, and modern JavaScript frameworks (e.g., React, Angular, Vue.js), • Strong understanding of backend technologies and frameworks (e.g., Node.js, Django, Spring, ASP.NET Core), • Experience with database systems, both relational (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra), • Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud), • Strong understanding of software design patterns, algorithms, and data structures, • Experience with version control systems (e.g., Git) and collaborative development

Job DescriptionCompany Description VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description We are looking for a Software Engineer to join our growing engineering team. You will contribute to the design and development of scalable, secure, and user-centric applications that power Versant’s next-generation platforms. This role is ideal for someone who thrives in startup-like environments, is eager to learn, and is passionate about using SaaS and low-code/no-code platforms to deliver value quickly. Key Responsibilities: • Collaborate with cross-functional teams to deliver full-stack solutions that solve real business problems., • Implement scalable, fault-tolerant microservices and modern front-end applications., • Use SaaS and low-code/no-code platforms where appropriate to accelerate delivery., • Participate in code reviews, pair programming, and team knowledge-sharing sessions., • Write secure, performant, and maintainable code., • Work closely with product and architecture teams to ensure alignment in technical direction and business priorities.Qualifications, • 3+ years of professional software development experience., • Strong knowledge of backend development in languages such as Java, Node.js, Python, or Go., • Skilled in in modern JavaScript/TypeScript, HTML/CSS, and frameworks like React, Vue, or Angular., • Develop scalable and high performing microservices architecture and RESTful APIs., • Familiarity with cloud platforms (AWS, Azure). Experience with Git and CI/CD pipelines (GitHub Actions, Jenkins or similar)., • Ability to troubleshoot and debug complex issues in distributed environments., • Exposure to GenAI tools, SaaS platforms, and low-code/no-code tools., • Familiarity with serverless technologies and event-driven architecture., • Familiarity with infrastructure-as-code tooling (e.g. Terraform, CloudFormation)., • Working knowledge of monitoring stacks like Datadog, Prometheus, or ELK., • Experience modernizing legacy systems or integrating with enterprise platforms. Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-Versant worksite, most commonly an employee’s residence. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Salary range: $105,000 - $140,000. We are accepting applications for this position on an ongoing basis. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. For LA County and City Residents Only: VERSANT Media will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Join Hinge as a Senior Machine Learning Engineer, where you'll lead the application of AI and machine learning to effectively mitigate the impact of bad actors, remove policy violating content, and ensure user safety on the platform. Working closely with an expanding Trust & Safety team, you will collaborate with product managers, data scientists, engineers, and analysts to develop impactful AI/ML solutions. In this high-impact position within a small, dynamic team, you'll have the opportunity to play a foundational role in shaping how Hinge utilizes AI and machine learning in various contexts. Your expertise will be instrumental in creating a safer and more meaningful user experience on their journey to find an intimate connection.Responsibilities • Develop, deploy, and maintain end-to-end machine learning models to identify and mitigate bad actors, remove policy-violating content, and ensure user safety., • Design and implement scalable systems (e.g., using Spark, Kubernetes) to preprocess data, run inference, and manage post-processing pipelines., • Define standardized performance metrics, testing protocols, and evaluation processes to measure the effectiveness, identify and mitigate potential risks, and ensure fairness of AI solutions., • Ensure ongoing assessment and refinement of AI solutions, incorporating user feedback, business impact, and emerging ethical considerations., • Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform Team to ensure a comprehensive and coordinated approach to user safety., • Stay abreast of new trends and research in AI/ML that can be applied to Trust & Safety initiatives to improve detection, user safety, and stay ahead of potential threats.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java or C++ and SQL, proficiency in at least one ML stack (e.g., PyTorch), and strong understanding of data pipelines, • Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning real-time machine learning models for user facing products. Experience with applying expertise to fraud detection, content moderation, or related fields is a plus ., • System design & architecture: Experience training and deploying large scale ML models. Good understanding of distributed computing for learning and inference., • Evaluation frameworks for LLMs: Experience designing robust testing protocols to ensure effectiveness, fairness, and safety of AI-driven features., • Cloud and data platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with solutions like Databricks, Ray, or KubeFlow is a plus., • Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Strategic technical leadership skills: Demonstrated track record of guiding teams through complex ML projects in alignment with product and business objectives., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation. Prior Experience, • 4+ years of experience, depending on education, as an MLE or data scientist. Previous experience working in Trust & Safety or related fields (e.g., fraud detection, content moderation, compliance) is preferred., • 2+ years of experience in applying end-to-end machine learning models, including data collection, model training, deployment, and monitoring in an industry setting, • 1+ years of experience integrating LLMs in real-world applications with the appropriate baseline metrics and evaluation methodologies., • 1+ years of experience utilizing ML infrastructure components such as a feature store, model training environment, model serving environment, observability, workflow orchestrator, etc. #Hinge .

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Joining Hinge’s AI Platform Core team offers a unique opportunity to help define and contribute to a growing ML platform with the goal of accelerating the development, deployment, and operations of AI enabled features on Hinge. If you are excited by the idea of working on challenges ranging from maturing and scaling our training and serving frameworks to enable millisecond real-time predictions and models that continually learn at scale, providing automatic model performance monitoring & debug frameworks, and building Platforms for architecting and evaluating generative AI & Agentic systems, then read on! With a mission to democratize AI for Hinge, ensuring it remains easily accessible, robust, scalable, cost-efficient, and trusted. You'll collaborate across our product and platform teams, as well as with external stakeholders like data science and backend engineering. You will meet our internal customers where they are and optimize towards their needs by delivering value incrementally and coupled to their problems. Being part of a small yet impactful team means having a broad scope of responsibility. As the role of ML at Hinge is only becoming more impactful, this role provides you with a chance to grow in impact and scope across the company. This is an exciting opportunity to own and help define the future of machine learning within a growing and maturing team!Responsibilities • Own or contribute to technical designs for the feature platform, training platform, serving platform, AI observability platform and GenAI Platform and underlying operational infrastructure to enable Product impact., • Develop, maintain, and enhance frameworks for AI/ML model development and deployment while establishing and driving best practices in MLOps / GenAI engineering., • Design, advocate, and implement for usability, reliability, scalability, operational excellence, and cost management while delivering incrementally., • Collaborate closely with ML Engineers, Data Scientists, Data Engineers and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process., • Mentor and educate ML Engineers, Backend Engineers and Product Managers on current and up and coming tools and technologies for ML operations & GenAI product development through presentations and documentation., • Help design and architect an AI platform that adheres to the principles of responsible AI (Authenticity, Transparency, Equity) and builds privacy compliance into the platform., • Lead build vs buy discussions on technologies that underpin the Platforms we serve., • Participate in on-call and Incident Management processes.What We're Looking For, • 4+ years of experience, depending on education, as an ML, backend, data, or platform engineer developing and working with large scale, complex systems., • 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes, • 1+ year of experience leading projects with at least 1 other team member through completion., • 1+ year of experience for Senior designing and developing online and production grade ML systems., • A degree in computer science, engineering, or a related field., • Strong programming skills: Proficiency in languages like Python, Go, or Java., • System design & architecture: Ability to design scalable and efficient ML systems., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure., • ML knowledge: A basic understanding of ML algorithms, techniques, and best practices., • Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage, • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation #Hinge .

Job Description These roles are available to applicants who: 1. Self-identify with the following neurodivergent labels or identities: • Autism (including Asperger’s and PDD-NOS), • Attention Deficit/Hyperactivity Disorder (ADHD) or Attention Deficit Disorder (ADD), • Learning Disability (dyslexia, dyscalculia, dysgraphia), • Intellectual Disability, • Obsessive Compulsive Disorder (OCD), • Tourette Syndrome 2. Have experienced barriers to finding and/or maintaining employment related to their neurodivergence, 3. Are open to receiving workplace support from Specialisterne Summary • Organization: Healthfirst, • Team Name: Customer Digital Experience, • Job Title: Software Engineer Intern, • This is a summer internship role (Duration: 10 weeks), • This is a hybrid role requiring in-person work three days per week (Tuesday, Wednesday, and Thursday), • Access to a private workspace with reliable internet connection is required for hybrid work days, • Hours: 40 hours per week, Mon-Fri (9:00am-5:00pm), • Internship Start Date: June 1, 2026, • Internship End Date: August 7, 2026, • Estimated pay rate: $38,200 - $49,920* Essential Tasks - In this job, you will: • Assess existing processes and procedures to identify opportunities for improvement, • Maintain accuracy, completeness, and quality on relevant product deliverables, • Work on software features in collaboration with others, including users across other departments and functions, • A desire to learn new tools and solve challenging problems using technology, • Ability to learn new programming languages quickly, • Ability to prioritize, multi-task and maintain attention to detail, • Ability to work independently and collaborate with others as part of a team, • Strong relationship-building skills and the ability to follow-up proactively, • Experience (professional or academic) with Object-Oriented Programming, • Familiarity with JavaScript, SQL, React and Python, • Interest in AI and API integration, • Oral communication: Hourly, • Email communication: Constantly, • Instant messaging: Hourly, • Telephone communication: Weekly, • Video communication: Weekly, • Interacting with supervisors: Hourly, • Interacting with peers: Hourly, • Interacting with customers: Hourly, • Selling or influencing others: N/A, • Ensuring project deliverables are met, • Managing changes in routine and daily tasks, • Interacting with others continuously, • Opportunity to gain valuable career experience and build a foundation for continued leadership development, • Access to an immersive and interactive learning experience, • Access to a high level of mentorship and guidance, • Will be recommended to the employer partner for review, • Our employer partner will contact candidates directly to arrange the next steps of the assessment process Beware of scams and fraudulent job postings. Specialisterne only accepts applications through our careers page at https://specialisterne.applytojob.com/apply Powered by JazzHR Vt3hev3H0E

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at the Team CoreWeave is The Essential Cloud for AI™ — the infrastructure that the world's leading AI labs, researchers, and enterprises depend on. The Build, Test, and Deploy team owns the platform, services, and systems that power software integration and delivery across CoreWeave's AI cloud: 40+ data centers, each running a large number of application instances, all needing to be built, packaged, deployed, updated, and managed reliably and at pace. This is a hands-on engineering role for someone who wants to build systems that other engineers depend on every day. You'll work on CI pipeline infrastructure, test experience, artifact and image management, release automation, progressive rollout systems, and the CLIs/SDKs engineers use to interact with the delivery platform — contributing meaningfully to an integration and delivery platform that runs at a scale most engineers never get to work on. What You'll Do • Implement and improve core components of our internal integration and delivery platform — CI infrastructure, build and testing services, deployment orchestration and automation., • Design, build, and operate internal artifact management capabilities (e.g., image/package registries, build caches, promotion workflows) that underpin CI and deployment across many services and data centers., • Build and evolve internal CLIs and language SDKs (Go, Python, or similar) that provide ergonomic, reliable access to delivery platform features and artifact systems., • Take ownership of discrete platform features and team-level technical initiatives from design through production, delivering high-quality work that has direct impact on engineering velocity across CoreWeave., • Identify and fix bottlenecks in build, test, and deploy workflows, whether that's flaky test infrastructure, slow pipeline stages, unreliable rollout mechanisms, or gaps in observability., • Collaborate with engineers across infrastructure, security, and product teams to integrate delivery platform capabilities into broader engineering workflows., • Contribute to code and design reviews, bringing a strong eye for reliability, scalability, and maintainability to the work of the team., • Mentor junior and mid-level engineers, helping them grow their technical skills and develop sound engineering judgment., • Participate in post-mortems and incident response, and follow through on improvements that reduce the chance of recurrence., • Design and implement the next-generation AI-native and agentic workflows and developer infrastructure.What We're Looking For, • 5+ years of software engineering experience, with meaningful time spent building and operating production services, developer tooling, or platform infrastructure., • Strong programming fundamentals and systems thinking. You approach platform problems as software engineering problems, writing clean, testable, and maintainable code., • Proficiency in Go, Python, or similar languages. Comfortable building services in cloud-native environments., • Experience designing and building developer tooling such as internal CLIs or language SDKs, with attention to usability, versioning, and maintainability., • Experience working with artifact stores or registries (e.g., container registries, package registries, build caches) as part of CI/CD or build systems., • Solid understanding of Kubernetes fundamentals, such as how workloads are defined, scheduled, and operated at the cluster level., • Experience with CI/CD systems and an understanding of the full software delivery lifecycle from commit to production., • Strong debugging skills. You can reason through complex distributed system behavior, identify root causes, and propose durable fixes., • Clear communicator who works well across team boundaries and can explain technical trade-offs to both engineering peers and non-technical stakeholders.Nice to Have, • Experience contributing to CI system internals (pipeline execution engines, job scheduling, caching, artifact and image management) using tools like GitHub Actions, Buildkite, or Bazel., • Experience building test infrastructure, such as test execution platforms and hermetic test environments., • Experience designing and operating internal developer-facing CLIs and/or language SDKs (e.g., Go, Python, TypeScript) for internal platforms or services., • Familiarity with progressive delivery patterns, such as canary releases, feature flags, or blue/green deployments., • Exposure to multi-datacenter or multi-region deployment environments with diverse application footprints., • Familiarity with delivery observability, such as DORA metrics, build telemetry, or deployment health signals., • Experience advancing AI-native and agentic infrastructure and incorporating these capabilities directly in workflows., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description We are looking for an experienced Back-end Developer to join our IT team. You will be responsible for the server side of our web applications. If you have excellent programming skills and a passion for developing applications or improving existing ones, we would like to meet you. As a Back-end developer, you’ll work closely with our engineers to ensure system consistency and improve the user experience. You should be able to develop and maintain functional and stable web applications to meet our company’s needs. Responsibilities • Participate in the entire application lifecycle, focusing on coding and debugging, • Write clean code to develop functional web applications, • Troubleshoot and debug applications, • Perform UI tests to optimize performance, • Manage cutting-edge technologies to improve legacy applications, • Collaborate with Front-end developers to integrate user-facing elements with server-side logic, • Gather and address technical and design requirements, • Provide training and support to internal teams, • Build reusable code and libraries for future use, • Liaise with developers, designers and system administrators to identify new features, • Follow emerging technologies Requirements • Proven work experience as a Back-end developer, • In-depth understanding of the entire web development process (design, development and deployment), • Hands on experience with programming languages like Java, Ruby, PHP and Python, • Working knowledge of CMS framework, • Familiarity with front-end languages (e.g. HTML, JavaScript and CSS), • Excellent analytical and time management skills, • Teamwork skills with a problem-solving attitude, • BSc degree in Computer Science or relevant field

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Software Engineer Type: Contract Compensation: $100–$160/hour Commitment: 30–40 hours/week Role Responsibilities • Design, build, and optimize distributed infrastructure for training, deploying, and scaling AI agents across high-performance compute environments., • Develop core backend systems including services, APIs, and orchestration layers to support agent lifecycles, tool execution, memory access, and multi-agent coordination., • Collaborate with research and applied AI teams to integrate model-serving pipelines, agent reasoning loops, memory stores, and planning components into production systems., • Build and maintain agent runtime infrastructure, including task scheduling, state management, inter-agent communication, and execution reliability., • Implement monitoring, observability, and fault-tolerance mechanisms for long-running agent processes and distributed workflows. Must-Have • Strong foundation in Computer Science, Software Engineering, or Systems Design with experience building large-scale distributed systems., • Proficiency in one or more backend or systems programming languages such as Go, Rust, Python, C++, Java, Scala, C#, Kotlin, or TypeScript/JavaScript., • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization/orchestration tools such as Docker and Kubernetes., • Strong experience designing production-grade backend services, APIs, and distributed systems., • Knowledge of networking, data streaming, caching, and performance optimization in distributed systems., • Excellent collaboration and communication skills., • Upload resume, • AI interview based on your resume #hiringmercor

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Join a forward-thinking financial conglomerate and be at the forefront of innovation in the industry. We're seeking a Machine Learning Developer to be part of our dynamic team. If you're a Python enthusiast or an adept programmer with a passion for data-driven decision-making, we want to talk to you. Job Description: Position Overview: As a Machine Learning Developer, you'll be a valuable member of our team, working on projects that span from infrastructure development to cutting-edge modeling. The ideal candidate is someone with strong coding abilities and a solid foundation in mathematics, computer science, statistics, or machine learning. If you have an entrepreneurial spirit, a collaborative mindset, and a hunger for professional growth, we'd love to meet you. Key Responsibilities: • Engage in a mix of infrastructure work (25%) and modeling (75%)., • Handle projects in various ML disciplines, including Natural Language Processing (NLP), unstructured data analysis, predictive modeling, and classic machine learning., • Collaborate with a two-person team and liaise with different stakeholders within the organization., • Strong coding skills, preferably in Python or a similar programming language., • Solid background in mathematics, computer science, statistics, or machine learning., • A proactive and entrepreneurial mindset., • Preferred: At least 2 years of professional work experience., • Experience in ML disciplines, particularly in NLP, unstructured data analysis, predictive modeling, or classic machine learning, is a significant advantage. Application Process The application process for the Machine Learning Developer position consists of three steps to ensure we find the best candidates: Step 1: Introductory Call The first step involves a 30-minute introductory call with the hiring manager. This is an opportunity for you to discuss your skills, experience, and aspirations, and to learn more about the role and the team. Step 2: Coding Algorithm Test If you successfully pass the introductory call, the second step is a coding algorithm test. You will be provided with a coding challenge to assess your problem-solving and programming skills. This test helps us understand your practical abilities and how well you can apply your knowledge to real-world scenarios. Step 3: Coding Interview In the third step, we will conduct a coding portion of the interview to evaluate your development skills in more depth. This interview is designed to ensure that your coding and development skills meet our standards and align with the responsibilities of the role. We encourage all qualified applicants to take the first step and schedule an introductory call. Join our innovative team and demonstrate your development skills to make a significant impact in the financial industry. To schedule your introductory call and advance to the next steps, please send your resume and a brief introduction. Cypress Group is committed to diversity and inclusion in the workplace. We appreciate the interest of all applicants and will contact candidates who advance to the coding interview phase.

Job DescriptionAbout the Company At Flow, we’re reimagining what it means to live, work, and connect. More than just a real estate company, Flow is a brand, a technology platform, and an operations ecosystem spanning condominiums, hotels, multifamily residences, and office spaces. We’re building a new kind of living experience: one that’s flexible, connected, and designed to create genuine community and real value for the people who call Flow home. Our mission is oneness: prioritizing our residents and their experiences, and fostering connection with ourselves, their neighbors, and the natural world. By putting people at the center of everything we do, we’re creating vibrant, human-centered communities where life, work, creativity, and play all come together in one place. About the Role We are hiring engineers to build and own Flow’s Application Platform—the layer that sits between product engineering and infrastructure. The team is focused on staying AI first, this role will expect you to be at the forefront of utilizing AI agents and tools to accomplish tasks. This team is responsible for the core application platform foundations at Flow, including our AI, Kotlin, and TypeScript service frameworks, shared libraries, and developer tooling. You will work across the boundary between Product Engineering and Infrastructure Engineering to ensure services are standardized, easy to build, secure, operate, and scale. We believe employees are better together. Every position at Flow has an onsite or in-office requirement. Responsibilities * Build and maintain service frameworks and shared libraries * Drive AI adoption, championing AI tools, harnesses, and agentic software development, and establishing standards for APIs, background jobs, and event-driven systems. * Improve developer workflows (local development, testing, CI/CD, service scaffolding) * Partner with infrastructure teams to help define how services run in production * Ensure services are observable, reliable, and production-ready by default * Drive adoption of platform standards across the organization * Contribute to system design and architecture across multiple domains Qualifications * A minimum 10 years in software engineering, site reliability engineering, or platform engineering * Advocate for the integration of AI throughout the SDLC to accelerate and improve delivery velocity. * Strong experience building platforms and paved paths for systems in production environments * Experience with distributed systems and service-oriented architectures * Proficiency in modern programming languages such as, Kotlin, Typescript, Go, Python * Familiarity with cloud infrastructure and containerized environments (e.g., GCP, Kubernetes, Docker) * Experience building shared libraries, frameworks, or internal tooling * Ability to work across teams and influence technical direction Nice to Have * Familiarity with observability tooling (metrics, logging, tracing) * Experience with CI/CD systems and developer tooling * Exposure to high-scale or multi-service environments Benefits• Comprehensive Benefits Package (Medical / Dental / Vision / Disability / Life)• Paid time off and 13 paid holidays• 401(k) retirement plan• Healthcare and Dependent Care Flexible Spending Accounts (FSAs)• Access to HSA-compatible plans • Pre-tax commuter benefits • Employee Assistance Program (EAP), free therapy through SpringHealth, acupuncture, and other wellness offerings Flow is proud to be an equal opportunity workplace and hires regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity and/or expression, pregnancy, Veteran status any other characteristic protected by federal, state or local law. In addition, we provide reasonable accommodation for qualified individuals with disabilities. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionSalary: Murex S4C Consultant Company: SoHo Dragon represents a Global Financial Technology leader Location: Hybrid NYC, Toronto, Mexico City, So Paulo, Santiago Contract Duration: 1 Year (Renewable) Start Date: ASAP Seniority: Junior to Mid Level We are looking forintegrationexpertise. • Provide professional services to Murex clients:, • Provide services in the domain of system integration, business intelligence and data flows through the full lifecycle of the MX.3: requirements analysis, configuration build, installation, training, upgrade, and production support., • Professionally interact with Murex colleagues and clients. 2. Build, test, and provide support to clients on MX.3 integration modules. • Contribute to project implementations, • Participate in design, build, and test phases sometimes remotely and other times at the client site as needed., • Develop trade workflows and interfaces to set up communication between external platforms and murex to receive trade and other data feeds, process them, save into the system, and send acknowledgement. Use a combination of MXMLExchange, MXopenconnect, Murex APIs, and Datamart to successfully deliver such solutions., • Contribute to functional documentation of the test cases and use cases by the client., • Contribute to Design documentation for the Build process of the Product., • Develop and maintain end-to-end configuration management packages etc. Install, Deploy and test Murex packaged interfaces like MDIT (market data interface tool), Markitwire, BSMT and MarkitCredit to receive live and end-of-day data from external providers like Bloomberg, Reuters, Markit, etc., • Handle support cases from notification to resolution and validation., • Participate in the business as usual and project support: follow-up of client open cases through email, CRM portal, phone-calls and on-site visits, • Develop an understanding of ongoing activities and manage own deliverables / progress, • Manage bug fixes and enhancements with the Product Team 3. Integrate with various teams to deliver the right solution to client. • Work with S4C stream leads, Front-Office, Back-Office, or Risk teams to understand requirements and develop solutions for the client., • Work with the Product division team to provide them timely details on defects how to reproduce the issue, project/client constraints, and how to validate the fix., • Follow up with the S4C stream leads, the Project Manager, and other teams to meet deadlines and regular meetings to make sure the delivery is on time. 4. Work with technologies including SQL, Unix, and Murex proprietary standards like Murex Scripting Language (MSL), XMLF, etc. for client solutions. • Use SQL for end-of-day report generation, STP (straight through processing) failure issues, P&L evaluation, for analyzing issues in trade feed and status Etc., • Java programming skills are not essential but are a plus., • Various Murex proprietary languages and formats: Data Query Language for querying in various screens in MX.3, MSL (Murex Scripting Language) for pre-trade logic, XMLF for post-trade flow processing, MxML in various contexts, etc., • Create shell/python scripts for automation of day-to-day manual activities., • Understand requirements, analyze the problem areas of the current system and behavior of pre- trade and post-trade workflow, and integration points.

Job Description Summary The Quantitative UX Researcher will lead the development, management, and analysis of large‑scale tracking surveys that inform product and user experience decisions. This role requires deep expertise in quantitative research methods, survey design, and statistical analysis, along with the ability to operate effectively in fast‑paced, ambiguous environments. Candidates must hold a Bachelor's degree with at least seven years of relevant experience, a Master's degree with five years of experience, or a PhD with a minimum of two years of experience in user experience research or a related field. Key Responsibilities • Design, manage, and analyze large‑scale tracking surveys, with a focus on longitudinal UX measurement., • Produce comprehensive research reports that translate complex data into clear, actionable insights., • Prioritize and manage multiple research initiatives in rapidly evolving environments., • Generate insights that inform both ongoing product development and future research opportunities., • Bachelor's degree with 7+ years of relevant UX research experience, or Master's degree with 5+ years of experience, or PhD with 2+ years of experience., • Demonstrated proficiency in R, particularly the Tidyverse ecosystem., • Experience in survey design, item development, and large‑scale data collection., • Strong foundation in statistical analysis, including descriptive statistics, regressions, ANOVA, and t‑tests., • Hands‑on experience conducting primary research., • Proficiency with Google Workspace tools., • Advanced coding skills in R (Tidyverse)., • Survey design and item development expertise., • Python programming experience., • Familiarity with Google Suite applications. Required: Bachelor's, Master's, or PhD in a relevant field such as Psychology, Statistics, Human‑Computer Interaction, or Social Sciences. Day‑to‑Day Responsibilities • Design, manage, and analyze large‑scale tracking surveys., • Develop detailed research reports and presentations., • Prioritize research tasks in a fast‑changing environment., • Large‑scale tracking surveys measuring user experience across Facebook‑related issues., • Longitudinal studies monitoring UX trends over time., • Data‑driven research initiatives that guide product strategy., • Experience conducting government‑scale surveys., • Specializes in quantitative UX research., • Focuses on survey‑based insights to improve product and user experience., • Quality, clarity, and impact of research insights., • Timely and effective project execution., • Navigating rapidly changing research priorities., • Balancing multiple concurrent projects. Location: United States (Remote) Role type: Contract 8 Month Position Expected hours: 40 per week Benefits: • Dental insurance, • Health insurance, • Health savings account, • Life insurance, • Paid time off, • Retirement plan, • 8 hour shift, • English (Required)

Job Description Cooperidge Consulting Firm is seeking a Performance Manager (Investment Data Analyst) for a premier $20B+ Global Equity Investment Management Firm in New York, NY. Reporting directly to the COO, this key role is responsible for the integrity and evolution of the firm’s performance reporting, risk analytics, and attribution frameworks. The Manager will act as a strategic bridge between the investment team and client services, providing sophisticated data simulations and ensuring global compliance standards (GIPS). This is a rare opportunity to join a stable, prestigious firm known for its high professionalism, intellectual curiosity, and elite employee perks. Job Responsibilities • Performance & Attribution: Design and manage complex attribution reporting aligned with investment strategies, including risk-based attribution and ex-ante risk analysis., • Risk Analytics: Enable broader risk reporting for investment strategies, including liquidity analysis, country-specific risk, and volatility reporting., • Compliance & GIPS: Assist in the development and standardization of GIPS composites and lead the coordination with external verification examiners to ensure regulatory compliance., • Investment Support: Maintain and optimize screening tools to identify the investable universe based on parameters defined by the investment team., • Client Service Analytics: Develop marketing-ready analytics highlighting portfolio characteristics, risk exposures, and performance drivers/detractors., • System Optimization: Evaluate and optimize research and data systems (FactSet), including the integration of AI-driven tools to automate and streamline workflows., • Bachelor’s degree in Finance, Business, or Computer Science is required., • Technical or programming background (Python/SQL) is highly preferred., • CIPM or CFA designation is a significant advantage.Experience, • Minimum of five (5) to ten (10) years of relevant experience in Investment Management., • Extensive experience with Global Equities and long-term investment strategies., • Deep expertise in GIPS and SEC reporting standards.Technical Skills, • FactSet & Excel: Advanced proficiency is REQUIRED; must be expert in extracting data and presenting it via complex charts and tables., • Quantitative Mastery: Deep understanding of how returns are calculated, evaluated, and modeled., • Comprehensive health, vision, and dental insurance plans, • Life insurance coverage, • 401(k) retirement plan with company matching contributions, • Paid time off including vacation, sick leave, and holidays, • Opportunities for career growth and advancement

Job Description About Us: Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 450 people operating throughout North America and in Europe. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. DV Commodities is a division within DV Group that specializes in trading commodities markets, including crude oil, refined products, natural gas, power, emissions, metals, softs, and agriculture. DV Commodities risk management, world-class technology, and talented traders have enabled it to become one of the world's largest liquidity providers and risk allocators in the energy and commodities spaces. Learn more here. Responsibilities: • Primary owner of P&L in one or multiple areas of energy business, • Build and maintain fundamental and quantitative trading models, • Work with risk to ensure compliance with agreed upon risk management metrics and sizing, • Liase side by side with senior energy traders to share best practices / learnings where applicable, • Learn proprietary methodologies and trading systems that support an established trading business, • Grow existing trades and P&L while identifying and pursue new opportunities, • Energy trading experience required, • Self-starter with entrepreneurial spirit, • Able to learn quickly in a fast paced, high pressure environment, • Targeted ISO experience and knowledge of fundamental grid, • Detail oriented, organized, diligent, • Maintain composure and communicate clearly when under pressure, • Ability to succeed working as part of a diversified team, • Strong understanding of math, probability, and statistics, • High level of proficiency in Excel and VBA; SQL, python, statistical modeling, other programming a plus, • Advanced aptitude for problem solving and multitasking, • Discretionary bonus eligibility, • Medical, dental, and vision insurance, • HSA, FSA, and Dependent Care options, • Employer Paid Group Term Life and AD&D Insurance, • Voluntary LTD, Life & AD&D insurance, • Flexible vacation policy, • Retirement plan with employer match, • Paid parental leave DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Job Description We are seeking a mid-level Manager to oversee ticketing strategy, sales data analysis, and industry research for clients including Broadway shows, Off-Broadway shows, and cultural institutions across New York City. A successful candidate for this position will be able to make data-driven recommendations using sales and marketing data, effectively communicate those recommendations to internal teams and external clients, implement ticket programming and optimizations, and accurately measure results overtime. JOB RESPONSIBILITIES Ticketing & Pricing Strategy • Lead and support sales analysis for clients, making data-driven, strategic recommendations on pricing models, ticket programming and distribution against revenue goals and projections., • Create, submit, and revise programming to support all aspects of ticketing (dynamic and variable pricing adjustments, performance scheduling, special promotions, distribution management, group sales, etc.)., • Effectively use sales data to anticipate trends and tell a story through clear, effective reporting and/or presentations -- translating complex data into clear, actionable strategies., • Collaborate with interdepartmental teams to make integrated recommendations across traditional media, digital media, marketing partnerships, social media, and more based on sales trends., • Leverage proprietary first-party behavioral data to inform new business strategies, growth opportunities, and audience segmentation for clients., • Cultivate a deep understanding of the Broadway and live entertainment industries, seasonal variables, and the competitive landscape to be a resource for both clients and agency teams., • Assist in maintaining agency-wide and industry-wide databases as needed., • 3 to 5 years of experience in a relevant, data-driven role., • Experience with ticketing within the live entertainment industry required. Specific experience with ticketing systems regularly used on and off-Broadway (STAR/Telecharge, Nliven/Broadway Direct, Tessitura, Ticketmaster, Audience View) a plus., • Advanced Microsoft Excel skills are required (Macros & VBA, SUMIFS, XLOOKUP, PivotTables, charting, etc.). Experience with other data analysis or business intelligence tools (SQL, R, Python, Power BI, Tableau, etc.) a plus., • Strong mathematical skills, analytical skills, and financial acumen required., • Ability to be available evenings and/or weekends as needed required., • Proficiency with marketing or advertising, including media planning and digital media metrics, a plus., • Proficiency with qualitative and/or quantitative research a plus., • Meticulous attention to detail and organizational skills required., • Ability to collaborate seamlessly and effectively across disciplines and departments required., • This is a client-facing role: excellent communication skills (written, in-person, and presenting to large groups) are required.Annual Salary$55,000—$85,000 USD

Job Description About G-20 The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. Role Overview As an Options Trader at G-20 Group, you will be responsible for managing and optimizing options trading strategies across various markets with a focus on US trading hours. You will work with a team of quantitative analysts and developers to implement trading models and make informed, data-driven decisions. This role offers a unique opportunity to contribute to the growth of a highly successful trading firm in a fast-paced and dynamic environment. Key Responsibilities • Develop, implement, and optimize options trading strategies across global markets., • Analyze market data and leverage quantitative models to identify profitable trading opportunities., • Monitor and manage risk exposures, ensuring strategies align with risk management protocols., • Collaborate with data scientists, quants, and other traders to refine and improve trading algorithms and strategies., • Stay up-to-date on market trends, news, and economic events that could impact options prices and volatility., • Execute trades and manage positions effectively, ensuring optimal execution and liquidity., • Degree in Finance, Mathematics, Physics, Computer Science, Engineering, or a related field from a top-tier university., • Strong background in options trading with a solid understanding of the options market and strategies., • Proven track record of generating consistent profits (PnL >$2m for more than 3 years), • Experience with quantitative trading and the ability to apply data analysis to trading decisions., • Strong knowledge of financial markets, particularly options pricing, volatility, and risk management., • Exceptional analytical and problem-solving skills with the ability to make quick, data-driven decisions., • Excellent communication and teamwork skills, with the ability to collaborate effectively across teams., • A results-driven, proactive, and self-motivated approach., • Willingness to work an adjusted schedule covering US hours and some weekend coverage as required. Preferred / Desirable Experience • Proficiency in programming languages such as Python, C++, or similar (preferred). Right to work: This role can be based from our New York, Chicago or London offices. Only candidates who reside in and who possess the pre-existing right to work in the US or London without requiring company sponsorship need apply. Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

Job Description Arena Investors, LP is a global investment management firm that seeks to generate attractive risk adjusted, consistent and uncorrelated returns by employing a fundamentals based, asset-oriented financing and investing strategy across the entire credit spectrum in areas where conventional sources of capital are scarce. Arena specializes in off-the-run, stressed, distressed, illiquid and esoteric special situation transactions through originations and acquisitions of asset-oriented investments across a wide array of asset types (including but not limited to private direct corporate credit, commercial real estate bridge lending, and commercial and consumer assets). Quaestor Advisors (“Quaestor”), is an affiliated Special Servicer, which provides mid and back-office services, including asset management, to Arena Investors and external clients. Quaestor is looking to expand the Valuations team, through the addition of a Valuations Analyst / Associate. In this role, the successful candidate will work under the SVP of Valuations. Responsibilities: • Work on complex financial instrument valuation engagements, including valuations of equity, debt, derivatives, structured financial products, contingent considerations and hybrid securities for financial reporting and transactions., • Review third-party business valuations for closely-held companies, publicly-traded companies, and private equity for financial reporting purposes (ASC 946, ASC 820, ASC 815, ASC 718 / IRC 409A, swaps, etc.), and strategic planning purposes, • Strong understanding of DCF, binomial, and option pricing modelling techniques., • Demonstrate general knowledge in business valuation analyses using DCF, publicly-traded guideline company method, and comparative M&A transactions method., • Perform market, industry, and economic research and analyses, • Review and summarize financial, corporate, and legal agreements and other documents, • Write narrative valuation reports and memorandums, • Explore and learn about the valuation issues in different industries for operating businesses, renewable energy systems and fractional interests in real estate, • Bachelor’s degree in Finance, Applied Mathematics, or other quantitative finance major, or Economics with a strong interest in pursuing professional designation; Master’s degree is a plus., • Experience with valuing and reviewing debt and complex financial instruments/derivatives (swaps, contingent consideration, convertible debt, etc.) and related methodologies/ models/ software (Monte Carlo simulation, Binomial Models, Thomson Reuters or Bloomberg)., • 3-5 years valuation experience with a Big 4 or Top 20 public accounting and advisory firm., • Demonstrated experience in both performing valuations and reviewing common stock, debt and derivative valuations, etc., • Experience working with Capital IQ., • Highly Proficient in Microsoft Office, especially Excel and Word, • Good understanding of the accounting standards related to financial instruments and valuations is a plus., • Ability to work on multiple engagements simultaneously with competing priorities in a rapidly growing, fast-paced, interactive, results-based environment, • Excellent written, interpersonal, and presentation skills, • Python programming/coding is a plus, • Individuals on the path to obtaining the CFA qualification is a plus. This job description is not an exhaustive list of all responsibilities, and duties may change Benefits • 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), • Short Term & Long Term Disability, • Training & Development, • Free Food & Snacks, • Wellness Resources

Job DescriptionDescriptionOverview The Strategy & Public Impact team is The New York Public Library’s central node of information and insights about its users, usage, and impact. We support decision makers and program staff across the institution through business intelligence, impact assessment, strategic conversations, user research, and data mentorship. The Patron Impact & Satisfaction Researcher will play an important role in helping the Library meet its full potential as a vital, relevant, and accessible public institution that is equitably used across our service area. Our patrons’ satisfaction with the quality and outcomes of their library experience not only influences their future library use - it can also shape their views of, and support for, civic institutions and public life more broadly. The Patron Impact & Satisfaction Researcher’s mandate is the development, analysis, and dissemination of survey-derived metrics tracking our patron (and broader community) experience, satisfaction, and impact, at the level of the Library overall, as well as its specific programs and services. This is a great opportunity for someone interested in applying their research and analytical skills to identifying the drivers underlying library “magic” and recommending ways to broaden and deepen it, thereby enhancing our benefit to the communities we serve. Key responsibilities • Metric development: Translate outcome and impact goals from internal logic models into a core set of experience, satisfaction, and impact measures for specific offerings, and for the Library overall, • Survey development and testing: Operationalize these metrics into survey questions to be administered to patrons and community members, • Data infrastructure: Build the process by which these metrics are regularly gathered, at scale, in living data streams across the Library’s physical and digital touchpoints, • Data monitoring: Develop approaches to continuously track patterns in metrics, • Data analysis: Determine the core drivers underlying experience, satisfaction, and impact across time, location, audience, and at key points in service life cycle, • Synthesis with other research: Build bridges between these metrics and the Strategy & Public Impact team’s other data streams, marrying trends and insights from survey responses to patterns of usage (e.g. attendance, borrowing), • Opportunity identification: Make programmatic and policy recommendations to better fulfill unmet patron and community needs, • Get acquainted with Strategy and Public Impact patron research approaches and our qualitative and quantitative data streams, • Learn the organizational structure of the Library, meet our key internal stakeholders, and absorb what we have already learned about our patrons and the communities they come from, • Become proficient in our ongoing patron research, existing metrics and key reports, and identify areas of patron experience and library impact for core metric development, • Take primary responsibility for survey-based research: from understanding the research questions, through translating them into survey questions and methodologies, and fielding patron and staff surveys, to analyzing and synthesizing the results, • Suggest ways of enriching and deepening the findings from qualitative research and surveys with other data streams (e.g., circulation or visits), • Independently prepare reports communicating our findings to various internal and external audiences, • Bachelor’s degree required, a graduate degree in social science or other relevant discipline recommended, • 2 years of hands-on professional experience - or an equivalent combination of education and work experience - in an applied research role involving survey and metrics development and analysis, • Strong command of survey methods and evaluation methodologies, including potential research questions and techniques and research tools/software, • Familiarity with core statistical techniques such as significance testing, correlation, regression, distributions, factor and cluster analysis, and basic predictive modeling, • Basic proficiency in R (preferred), Python, or other statistical programming language, • Advanced proficiency in Microsoft Office and Google apps suites, especially Excel and Google sheets, • Ability to systematize output from, and detect patterns within, qualitative data sets, • Ability to independently produce high-standard, presentation-ready deliverables, • Ability to clearly and persuasively communicate analytical insights and methodologies verbally, visually, and in writing to employees at all levels of the organization, • Ability to to establish trusting relationships within a diverse organization, across multiple levels of management and staff, • Demonstrated learning mindset, with a continual appetite for developing skills, asking new questions, and absorbing information More...Please Note: Effective August 2, 2021, absent a qualifying exception for medical or religious reasons, newly hired employees of the New York Public Library must present proof of receipt of a COVID-19 vaccination and may not begin employment at the Library until 14 days after their receipt of their second dose of either the Pfizer or Moderna vaccines or 14 days after their first dose of the Johnson & Johnson vaccine. Newly hired employees who need additional time to receive their vaccination prior to their start date may request an adjournment of their start date with their hiring manager. The Library will consider such requests on a case by case basis, depending upon the Library’s operational needs, among other factors. The Library will further consider exemptions for prospective employees who cannot become vaccinated due to a qualifying medical condition or a sincerely held religious belief or practice. Candidates who receive a conditional offer of employment and who seek a medical or religious exemption to the Library’s vaccination policy will be provided with additional instructions at the time of the conditional offer. Core Values All team members are expected and encouraged to embody the NYPL Core Values: • Be Helpful to patrons and colleagues, • Be Resourceful in solving problems, • Be Curious in all aspects of your work, • Be Welcoming and InclusiveWork Environment Physical Duties Union/Non Union Non-Union FLSA Status Exempt Schedule • 35 hrs/week