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Job Description A client of AlphaStaffHCM™ is searching for a Research Scientist who will work on the modeling, simulation, and architectural development of quantum and artificial intelligence (AI) computational structures intended for chip-scale implementation. The right candidate must be able to work onsite in Hoboken, NJ. Key Responsibilities: • Develop and simulate quantum and AI-based photonic architectures for on-chip, • implementation., • Translate high-level computational concepts into device-level and system-level, • simulation models., • Perform rigorous electromagnetic and Multiphysics simulations to evaluate optical,, • nonlinear, and quantum effects., • Model and simulate quantum photonic circuits and quantum gates under realistic device, • conditions., • Analyze fabrication tolerances and material constraints to assess design robustness., • Optimize photonic device structures for performance, scalability, and manufacturability., • Collaborate closely with fabrication and packaging teams to ensure simulation models, • align with process capabilities., • Support post-fabrication validation by correlating experimental results with simulation, • predictions., • Document modeling methodologies, simulation results, and architectural trade-offs for internal and external reporting Must Have Qualifications: • Ph.D. in Physics, Applied Physics, Electrical Engineering, or a closely related discipline., • Strong foundation in Photonics, Quantum optics, Nonlinear optics, • Demonstrated experience in simulation of photonic integrated circuits., • Experience modeling and simulating quantum gates/ quantum optical systems., • Understanding of semiconductor/TFLN and photonic chip fabrication processes, • Familiarity with chip testing and packaging considerations from a modeling perspective., • Software experience with Lumerica, Python, and Tidy3D Nice to Have Qualifications • Software experience with COMSOL Multiphysics, MATLAB, and/or Z-Max, • Demonstrated experience as a self-starter, • Demonstrated experience as a quick leaner Compensation and Perks • Salary range: $120,000-$150,000 annually, based on experience., • Medical, dental, and vision coverage., • Generous PTO and a retirement match., • 9:00-5:00 in office schedule 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 DescriptionInformation System Security Officer (ISSO) Employment Type: Full-Time, Mid-Level Department: Administrative and Logistics Support As a FSR ISSO, you will be embedded on-site with U.S. Government customers to ensure the secure, compliant operation of a production-grade data and application platform used in mission-critical environments. You will serve as the primary authority for system security and compliance—working hands-on with live systems while partnering closely with engineers, operators, and customer security teams. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- Act as the primary on-site point of contact for security and compliance requirements across one or more U.S. Government customers. - Support system accreditation and authorization activities using frameworks such as RMF or DIACAP. - Collaborate with software, systems, and field engineers to ensure required security controls, configurations, and policies are correctly implemented. - Analyze deployed software implementations and assess alignment with applicable security requirements. - Build, standardize, and maintain security documentation, including SSPs, POA&Ms, control narratives, and supporting artifacts. - Generate, validate, and organize evidence of compliance once security settings are applied. - Assemble accreditation artifacts into a structured, auditable repository. - Support audits, assessments, and ongoing compliance activities throughout the system lifecycle. - Maintain the ongoing security and trust of customers through hands-on system access and coordination with engineering and operations teams. - Support software operating across AWS, Azure, on-premises, and at multiple classification levels. - Operate in environments where the platform, threat landscape, and operational needs are continuously evolving. Qualifications:- Background in systems administration, software development, systems engineering, or deep familiarity with Linux-based systems. - Experience accrediting IT systems against U.S. Government standards such as NIST SP 800-53, CNSSI 1253, and DISA STIGs. - Hands-on experience supporting accreditation using eMASS or Xacta. - Experience collaborating with engineering teams to implement and validate security configurations. - Understanding of configuration management and automation tools (e.g., Puppet, Terraform, CloudFormation, Chef, Ansible). - Comfort using version control systems such as Git. - Ability to independently use vulnerability scanning tools such as Nessus and OpenSCAP. - Experience working in cloud and on-premises environments, including AWS. - Strong ability to produce clear, concise technical documentation, stay organized, and maintain attention to detail. - Curiosity, critical thinking, and the ability to evaluate real-world implementations against formal security requirements. - Active TS/SCI Clearance or Eligibility Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past nine years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: more information about CGS please visit: or contact:Email: 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 DescriptionA little about us… Knit is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we've condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T-Mobile, Mars, NASCAR, and more. We're on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what's possible. Overview We're continuing to build out our NYC engineering team and are looking for exceptional builders who are resourceful, deeply technical, and thrive in high-ownership environments. As an early member of the team, you'll play a key role in shaping the core of our platform and contributing to a team that will scale to 20+ engineers over the next 18 months. You'll build and orchestrate AI agents, explore new UX paradigms, and work on some of the hardest problems in applied AI with meaningful ownership across the stack. Responsibilities | What you will own... Primary responsibilities of this role: • Own 0→1 and 1→N features across the stack, from design docs to building high-throughput data pipelines and scalable FastAPI services., • Architect and own the core agent orchestration engine, designing complex, multi‑agent LLM workflows (routing, tool‑use, memory, evaluation) with deterministic fallbacks, guardrails, and auditable actions required by enterprise users., • Build AI‑native, human‑in‑the‑loop UIs. Craft React/Next.js interfaces that let users collaborate safely with agents, with transparency and explainability by design., • Develop the "factory for the factory". Build our experimentation platform: CI/CD for prompts and agents, offline/online evals, drift detection, safety layers, and rollout controls., • Ship fast, safely. You'll instrument everything for reliability, write concise design docs, add robust tests, and build dashboards and alerts for features you launch., • Partner cross‑functionally with Product, AI, Design, CS; talk to customers and SMEs, and turn ambiguous problems into shipped product., • Obsess over performance, optimizing for latency across the system: caching, model selection, distillation, batching, vector search, and infrastructure efficiency (GPU/CPU)., • Operate what you build. This includes on‑call ownership, leading incident response, and driving learning through blameless postmortems., • Level-up the team around you. Mentor and collaborate with other engineers to help make the entire team better.This role is for you if..., • You're a 0 → 1 builder who thrives in ambiguity and has shipped products from scratch at a startup or in a hyper-growth phase. You've seen both - early-stage hustle and later-stage scale and know how to build for it., • You're a systems thinker with deep technical chops: you design clear architectures and write clean, tested Python and TypeScript., • You think like an owner: you spot problems, propose solutions, and build them without waiting for perfect specs. Your impact is measured in business outcomes., • You use AI as leverage. Tools like Cursor, Copilot, or Claude Code are integral to your workflow, helping you ship faster while maintaining a high standard for correctness., • You believe speed and quality aren't opposites and can articulate the tradeoffs you make., • You communicate crisply. You share your ideas effectively and thrive in tight feedback loops with product, design, and customers., • You've got grit: hard problems energize you, context switching doesn't scare you, and you're comfortable deleting code.Our Stack, • Frontend: React, Next.js, • Backend: Python, FastAPI, • Data/ML: MongoDB, S3, Redis; Pinecone, • Infra: AWS, Docker, Kubernetes; CI/CD with GitHub Actions., • Messaging: SQS; event‑driven pipelines.Required Skills & Experiences The successful candidate will be a high-ownership, product-minded engineer who combines strong full-stack fundamentals with experience building AI-native systems, capable of turning ambiguous problems into scalable, reliable features that drive real business impact. Required: • Experience with LLM/agent systems, evals, and prompt tooling; RAG, embeddings, vector dbs., • Deep knowledge of event‑driven systems, streaming, and workflow engines., • Expertise in observability (OpenTelemetry/Prometheus/Datadog), feature flagging, or A/B platforms., • Background in enterprise security and compliance (SOC 2, GDPR), • Bias to action: short specs, small PRs, daily deploys., • In-person collaboration: we're building the NYC hub together; whiteboards > long threads., • Are 1% better every day: We approach situations with a growth mindset and ask, "How can we make the business better?" and "What would it take?", • Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through). CCPA disclosure here.

Job Description Project Overview HireScale is partnering with a high-growth enterprise SaaS organization to embed a Forward Deployed Engineer (FDE) directly into customer-facing and product-adjacent workflows. This is a full-service, cutting-edge engineering engagement focused on bridging the gap between complex enterprise customer needs and production-grade software solutions—delivered with speed, precision, and modern AI capabilities. This role sits at the intersection of engineering, product, solutions architecture, and applied AI. You will work directly with internal teams and enterprise customers to design, build, and deploy tailored software solutions that extend core SaaS platforms into real-world operational environments. Unlike traditional engineering roles, this engagement is highly embedded and outcome-driven. You are not just building features—you are solving real customer problems in production environments, often under tight constraints, ambiguous requirements, and high expectations for reliability and scale. A core part of this role is leveraging the latest AI technologies—LLMs, agentic systems, and AI-assisted development workflows—to accelerate solution design, implementation, and iteration. You will be expected to move fluidly between rapid prototyping and production-grade engineering, ensuring every solution is both fast to deliver and architecturally sound. This role requires strong experience in enterprise software or B2B SaaS environments, where system integration, security, scalability, and reliability are critical. You will frequently operate within complex customer ecosystems involving APIs, data pipelines, identity systems, and existing enterprise infrastructure. The ultimate goal is to translate complex enterprise needs into deployed, scalable software solutions—while continuously improving product capability through real-world deployment feedback. Scope of Work & Core Capabilities • Design and deploy production-grade software solutions directly within enterprise customer environments, • Translate ambiguous, high-complexity customer requirements into scalable technical implementations, • Build integrations across SaaS platforms, APIs, data systems, and enterprise infrastructure, • Develop full-stack solutions using modern engineering practices and cloud-native architectures, • Leverage cutting-edge AI tools and frameworks (LLMs, agentic workflows, AI orchestration systems) to accelerate development and solution design, • Rapidly prototype, validate, and productionize customer-specific use cases, • Collaborate with product and engineering teams to extend core platform capabilities based on field insights, • Work directly with enterprise stakeholders to troubleshoot, iterate, and refine deployed solutions, • Ensure solutions meet enterprise standards for security, scalability, performance, and reliability, • Build reusable components, frameworks, and patterns that generalize across customers, • Operate in complex technical environments involving authentication systems, data pipelines, and distributed architectures, • Document architectures, deployment patterns, and integration guides for long-term scalability, • Act as a technical bridge between customers, product, and engineering teams Engagement Brief This engagement is focused on delivering real-world, production-grade software solutions inside enterprise environments while continuously improving platform capabilities through direct customer deployment. Success is measured by deployed outcomes, customer impact, system reliability, and the ability to scale solutions across multiple enterprise use cases. • Target Outcomes: Deployed enterprise SaaS solutions that solve real customer problems, improve operational efficiency, and extend core platform capabilities. Deliver scalable integrations, production-grade features, and AI-accelerated workflows that reduce implementation time and increase customer success outcomes., • Duration: 3–6 months (full-service engagement), • Commitment: Full-service, embedded engineering role, • Budget: Flexible based on scope, complexity, and enterprise deployment requirements, • Start Date: ASAP Portfolio Requirements: • 2–3 relevant projects in enterprise SaaS, platform engineering, solutions engineering, or forward deployed engineering roles, • Demonstrated end-to-end ownership (customer problem → system design → production deployment → measurable impact), • Experience building or integrating with large-scale B2B SaaS systems, • Proven use of modern AI tools (LLMs, agent workflows, AI-assisted development, or similar technologies), • Evidence of working in complex enterprise environments (APIs, integrations, security, scalability constraints), • Supporting materials such as architecture diagrams, production case studies, GitHub repositories, or technical documentation preferred About HireScale HireScale is redefining how people and organizations grow and work together. We connect companies with top-rated independent consultants to build agile, highly skilled and resilient teams; while also empowering talent to shape their own paths and align meaningful work with personal freedom and purpose. Our goal is a future where opportunity is open, work is self-directed, and everyone thrives.

Job DescriptionAbout Fractional AI How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages? Fractional AI is a startup in the heart of Silicon Valley targeting the biggest greenfield opportunity in the economy: transforming companies with AI software at a scale the market is only beginning to understand. Our clients include Zapier, Airbyte, and companies from industries ranging from data infrastructure to healthcare and life sciences. We were founded by repeat founders Chris Taylor, Eddie Siegel, and Travis May (Founder of Datavant, $7B exit), and are backed by Shaper Capital. Most of our engineers are former founders or staff engineers from top tech companies like Google and Stripe. We're headquartered in SF with offices in NYC, Raleigh-Durham, and Dubai. About Bringing Your Own Engineering Team Some teams are just too good to break up. Maybe you co-founded a venture that's pivoting, maybe your team got caught in a reduction in force, or maybe you're looking for the next thing to build together. We already work in small pods: tight-knit teams of engineers working on a single project together. Joining Fractional is a natural way to keep your team intact and shift your focus to building for clients with instant product-market fit. If you're part of an existing team of 2–5 engineers, we encourage you to apply to join Fractional AI together. How It Works * One interview process. We'll arrange your interviews on the same day, with the same panel, against the same bar we hold every Fractional engineer to. * One offer. If we decide to move forward, we'll make offers to your whole team at the same time. You're each free to accept or decline individually — though we hope you'll all say yes. * One first project. We'll work to staff you on an engagement together. BYOT In Practice: Fabius In 2026, we were introduced to the Fabius team — a Y Combinator (W23) startup that had spent three years building AI to automate sales workflows. They had a track record of building complex AI systems, and they'd spent considerable time perfecting the craft of partnering closely with customers to make sure their solutions delivered results. The more we talked, the more we saw a team whose strengths mapped almost exactly to what we hire for. For Fabius, joining Fractional was a natural way to focus on what they were best at — building AI-powered products — while staying together as a team. "I was surprised how much autonomy Fractional expected us to keep. Suddenly we had very interested, very motivated clients — and the same hard technical problems we used to grind through at Fabius. " — Neil Madsen, Fabius Co-founder "When we spoke with Eddie and Chris, it felt like a bunch of founders hanging out. There was a certain expectation that the team itself was an asset, and Fractional was specifically interested in protecting the way we were working together, rather than figuring out how to make everyone play a narrow role." - Andy Day, Fabius Co-founder Who We hire We generally expect your team to fall into the categories of one of our existing engineering and PM roles — most commonly Software Engineer, Senior/Staff Software Engineer or Forward Deployed PM. Take a look at those JDs to see what we look for at the individual level. We evaluate teams holistically on top of that, but we expect every team member to clear a similar bar as all other Fractional team members. * Software Engineer * Senior / Staff Software Engineer * Forward Deployed Product Manager * Principal, AI Value Creation and Partnerships Our Engineering Philosophy We're opinionated about what works in production, and we write about it — from why most eval setups fail by collapsing everything into a single score, to why defaulting to chat interfaces limits AI's impact. We have a distinct approach to building AI systems: applying standard software engineering discipline to the non-deterministic world of frontier AI. We design systems around testable hypotheses, curate durable data sets, and ensure what we ship keeps working long after we've handed it over. After shipping 30+ AI products, we have strong opinions on what makes AI products succeed and how to get them into production. We think you'll find it refreshing if you've seen how most companies approach AI. How Fractional Is Different A typical engineer here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product — but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else. Most engineers look back at this as the biggest growth period of their career. But it's possible you won't like it — we recommend using the interview process to hear what our team thinks. Our Values * Overdeliver. We're writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world's best applied AI team. * Overuse AI. We go out of our way to experiment with the latest tools and share what we learn with our teammates — building a culture at the frontier. * Over-engineer the culture. For every big decision, we ask "would this make Fractional a better or worse place for our team?" 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 DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who we're seekingYou are a driven, organized team-player with a passion to solve complex technology problems. You seek to join a team with the tools to accelerate your career as you develop, build, and implement technology strategies and solutions, while coaching more junior team members and building deep industry & client relationships along the way. What You'll Do • Lead project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment, • Oversee cross-functional delivery teams, managing scope, budget, and timelines, • Partner with executive clients to design strategic roadmaps, • Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations, • Develop high-performing teams, mentoring talent, and fostering a collaborative culture, • Proactively identify risks and issues, and provide mitigation strategies, • Maintain strong client relationships while identifying opportunities beyond your current engagement, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat You'll Bring, • 10+ years of project management experience, • 4-6 years+ of experience managing SDLC/system implementation-based projects, • Experience implementing Salesforce, • Experience managing high-performing project teams, PMOs, and process optimization initiatives, • Experience managing teams through client-facing activities such as requirements gathering, stakeholder workshops, and deliverable review/approval sessions, • Agile or Scrum coaching experience preferred, • Experience contributing to business development, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related fieldsPreferred Experience, • Media and/or Entertainment industry experience highly preferred

Job Description At Solve Intelligence, we’re building the AI-powered infrastructure for the global Intellectual Property landscape. We need a rare hybrid - a Legal and Product Engineer who sits at the exact intersection of patent law and AI innovation to ensure our engine is technically superior and legally airtight. 🏗️ The Role: Legal and Product Engineer This isn't your typical client-facing role or traditional R&D position. You are the bridge between the complex nuances of patent practice and the cutting-edge AI technology transforming it. You will translate the "language of law" into the "logic of code." What you’ll own: * AI Output Engineering: Partner with our AI researchers to iterate on algorithms and prompt engineering, specializing our LLMs for patent-specific tasks like claim analysis, prior art comparison, and obviousness assessments. * Legal Benchmarking: Build proprietary datasets and evaluation frameworks to measure AI performance against real-world USPTO and international patent office requirements. * Product Roadmap: Serve as the internal voice of the practitioner. You’ll translate deep client insights from global firms into high-priority product features. * Strategic Partnership: Act as a technical thought partner for IP teams at firms like DLA Piper, leading pilots and ensuring our AI scales seamlessly across their prosecution and litigation workflows. * Playbook Development: Document and scale best practices for AI adoption across diverse sectors, from biotech to deep-tech software. 💡 About Solve Intelligence We’re the fastest-growing startup transforming the IP industry. * Traction: 20-30% MoM revenue growth; selling to 200+ global IP teams (DLA Piper, tech boutiques, and global enterprises). * Proven Value: Users report 50-90% efficiency gains using our AI platform. * Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others. 👋 Your Team You’ll work directly with a founding team of AI PhDs and systems experts: * Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). * Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. * Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). 🚀 Who You Are We are a high-performance culture of "hackers" and builders. * Bilingual: You can speak "Patent" to an attorney and "Prompt" to an engineer without losing anything in translation. * Speed & Feedback: You want to put tools in users' hands in days, not months, and you thrive on rapid iteration. * Extreme Ownership: You take responsibility for the accuracy of our AI's legal reasoning and the success of our global client deployments. * Driven & Humble: You are a high-achiever willing to go the extra mile to tackle unsolved AI problems in the patent space. 🛠️ What You Bring Must-Haves: * Qualified Professional: Admitted to practice before the USPTO, EPO or JPO. * 3+ Years Experience: Direct experience in patent prosecution, understanding the "pain points" of the industry first-hand. * Technical Foundation: Undergraduate degree in Engineering, Computer Science, or Life Sciences. Preferred & Nice-to-Haves: * AI Tinkerer: Hands-on experience with prompt engineering and LLM tools. * Client-Facing Pro: Proven ability to manage relationships and lead strategic product demos. * Coder-Lite: Familiarity with Python or a background in software development. * Visionary: A deep belief that AI will fundamentally redefine the legal landscape. 🎁 What We Offer * Competitive Salary + Significant Equity: We want you to have true ownership in the success of the company. * Founding Impact: You will be the architect of how AI is applied to patent law globally. * Support: Full visa sponsorship and private medical insurance. * The Environment: Free meals and a seat at the table with an incredibly smart, ambitious team. Ready to define the future of Intellectual Property? Apply now. 🚀 Compensation Range: $100K - $220K

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityThe vision for this opportunity is to create an intelligent system that operates in an experimental material science setting. Your core responsibility will be to lead the development of an agentic system for materials development, enhancing reasoning and planning throughout the development process, encompassing data acquisition, model evaluation, pre- and post-training, supervised fine-tuning, reward modeling, and reinforcement learning to drive overall performance of the system. Your expertise will contribute to the broader research community through publications in top-tier AI/ML venues like NeurIPS, ICML, and ICLR, alongside active participation in conferences and workshops. This role offers the unique opportunity to mentor and guide junior members of our technical team and research interns, fostering a culture of growth and innovation. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Drive the development of a system that can pursue complex, multi-objective goals in materials design with limited direct supervision, leveraging agents and multi-agents that can interact with third-party and in-house integrations, including APIs, code interpreters, and hardware components., • Leverage various LLM architectures and models to balance reasoning and continuous adaptation towards intelligent decision-making., • Synthesize large-scale, high-quality (multi-modal) data through methods such as rewriting, augmentation, and generation to improve the abilities of models in various stages., • Work in collaboration with various teams, in particular the experimental materials science team., • Develop and apply reliable evaluation methods to analyze model performance at different stages, uncover the mechanisms and origins of their capabilities, and leverage these insights to enhance model development., • Contribute to the AI and materials science research community through publications and active engagement in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops., • The ability to tackle challenging problems with new and different ideas, creativity and contrarian thinking., • Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.About you, • Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, or a closely related field, with a strong focus on LLMs., • At least 3 years of research experience in AI, with a proven track record of designing agentic systems., • Familiarity with large-scale model training., • Proficiency in Python and relevant ML libraries (e.g., PyTorch)., • Strong publication record in top-tier AI/ML conferences or journals., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Passionate about leveraging ML for science related problems and a commitment to doing world-class research., • Domain knowledge of materials and/or molecules., • Familiarity with large-scale model training., • Experience with LLM engineering., • Active involvement in the AI research community, with contributions beyond publications, such as organizing workshops or giving talks at conferences.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

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 Machine Learning Engineer on the Trust & Safety team, where you'll apply AI and machine learning to mitigate the impact of policy violating actors, remove harmful content, and keep our users safe on the platform. Working alongside an established Trust & Safety AI team, you'll partner with product managers, data scientists, engineers, and analysts to build, deploy, and improve detection systems that have a direct, measurable impact on user safety. This is a high-ownership IC role on a small team with a large mission. You'll own the end-to-end lifecycle of ML projects, contribute to a growing portfolio of AI-powered safety features, and grow alongside senior engineers, all while playing a foundational role in how Hinge applies machine learning to give users a safer experience on their journey to find intimate connection.Responsibilities * Build, deploy, and maintain end-to-end machine learning models that detect policy violating actors, remove harmful content, and keep users safe. * Own medium-sized projects end-to-end (from problem scoping and data collection to training, deployment, monitoring, and iteration). * Contribute to scalable inference and data pipelines (e.g., Spark, Kubernetes), including preprocessing, batch and real-time inference, and post-processing components. * Apply standardized performance metrics, testing protocols, and evaluation processes to measure model effectiveness and identify risks. * Continuously assess and refine deployed models using user feedback, business impact signals, and emerging policy and ethical considerations. * Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform team to ship coordinated user safety improvements. * Stay current on advances in AI/ML, particularly LLMs and evaluation methods, and apply appropriate techniques to detection and user safety problems. What We're Looking For * Strong programming skills: Proficiency in Python and SQL, comfort with at least one ML stack (e.g., PyTorch, Hugging Face Transformers), and a working understanding of data pipelines. * Domain expertise: Solid understanding of machine learning, deep learning, and emerging AI techniques. Track record of building, debugging, and fine-tuning ML models for user-facing products. Experience with content classification, fraud detection, or related Trust & Safety problems is a plus. * System design & architecture: Experience training and deploying ML models in production. Working understanding of distributed computing for inference and training. * AI application: Hands-on with AI agents, RAG, structured outputs, and function/tool calling. Understands when to reach for an agent or LLM vs. a classical ML approach. * Evaluation frameworks for ML and LLM systems: Comfort designing and running evaluations to measure model effectiveness, fairness, and safety across both classical ML and LLM systems. Familiar with golden datasets, LLM-as-judge patterns, precision/recall/F1, false positive rates, hallucination, and offline/online metrics. * Cloud and data platform proficiency: Hands-on with at least one cloud environment (GCP, AWS, or Azure). Familiarity with Databricks, Ray, or Kubeflow is a plus. * Data engineering knowledge: Comfortable handling large datasets, including cleaning, preprocessing, and storage, and contributing to batch and streaming pipelines orchestrated with tools like Databricks or Argo. * Project ownership: Demonstrated ability to drive medium-sized projects to completion, identify and unblock yourself on technical issues, and ship measurable outcomes with limited oversight. * 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 Prior Experience * 2+ years of experience as an MLE, applied scientist, or data scientist (depending on education). * 1+ years of experience applying end-to-end machine learning models in an industry setting — including data collection, model training, deployment, and monitoring. * Experience integrating or evaluating LLMs in real-world applications with appropriate baseline metrics and evaluation methodologies is a plus. * Familiarity with at least one ML infrastructure component (feature store, training environment, model serving, observability, workflow orchestrator). * Previous exposure to Trust & Safety, fraud detection, content classification, or compliance is preferred but not required. * Demonstrated use of modern AI tooling in their actual workflow (e.g., Cursor, Claude Code, Codex). * A degree in computer science, engineering, or a related field (or equivalent practical experience). Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge .

Job Description Staff Software Engineer (Full Stack, Backend-Leaning) The Opportunity Our client is hiring a Staff Software Engineer to join their early engineering team. This is a full-stack role with a backend lean, ideal for someone who can own larger technical systems end-to-end, set engineering direction, and help define how AI should be used responsibly in clinical environments. This role is not just about shipping features—it's about building the foundation: architecture, patterns, reliability, and the team's approach to execution. What You'll Do • Lead end-to-end delivery of impactful features across React, TypeScript, Postgres, and AWS Lambda, improving real workflows for staff and patients, • Set technical direction for core systems: API design, data modeling, scalability, reliability, and deployment patterns, • Design robust, extensible systems built for the realities of clinical environments (edge cases, safety, change management, uptime), • Shape how AI is applied across the platform—both to improve engineering velocity and to safely automate high-value workflows, • Partner closely with product and clinical teams to navigate tradeoffs across safety, usability, compliance, and automation, • Own the full project arc: clarify goals, shape architecture, manage risk, coordinate execution, and improve after launch, • Raise the bar across engineering by improving standards, code review quality, observability, incident readiness, and release confidence Must-Haves • Strong full-stack engineering background with a backend focus; proven track record shipping end-to-end systems, • Expertise with modern web and backend development (React + TypeScript; Postgres; strong API fundamentals), • Experience building and operating production systems in the cloud (AWS preferred; serverless/Lambda experience is a plus), • Strong architectural instincts: systems thinking, clean abstractions, maintainability, performance, and reliability, • Product-minded engineering: you care about UX quality, workflow clarity, and adoption—not just code, • Comfortable operating in ambiguity, making decisions with imperfect information, and driving alignment across stakeholders, • You've built systems in high-trust domains (healthcare, finance, security) where correctness matters, • You've shipped AI-assisted or AI-powered features with real guardrails (evaluation, monitoring, fallback paths), • Early-team ownership with meaningful influence over architecture, product direction, and engineering culture, • Mission-driven work that directly improves how hospitals operate and how patients experience care, • AI applied practically and responsibly—automation where it helps, safeguards where it matters, • A rare chance to build the foundation and standards that the company scales on

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 At Trunk Tools, we’re the leading AI company revolutionizing construction, the second-largest industry on earth. We recently raised a $40M Series B led by Insight Partners, bringing our total funding to $70M from top-tier investors including Redpoint and Innovation Endeavors. This new round is fueling our next phase of growth as we scale AI agents across the jobsite. Our mission is to build the future of construction through intelligent automation. Despite being a $13+ trillion industry, construction still runs largely on analog processes, we’re changing that by embedding AI directly into field operations. Founded by builders and technologists (Stanford, MIT), our team has delivered software used by over 140,000 field professionals, impacting millions of users and contributing to $10B+ in built projects. Many of us come from the field ourselves, giving us a deep understanding of the industry’s unique challenges. After years of building the “brain” of construction, we’re now launching production-ready AI agents, starting with intelligent document processing and Q&A, and rapidly expanding into core operational workflows. Our team has doubled in the past year, and with 100+ employees (50+ engineers), we’re scaling fast and entering a period of hypergrowth. This is a rare opportunity to join at an inflection point. Our full-stack engineers work within cross-functional feature squads to create the capabilities our customers leverage every day. This position will work closely with product, design, business stakeholders, and colleagues across the engineering org to bring our product roadmap to life. What you will do and achieve: * Create the next generation of product experience: You will build new features and expand existing capabilities across the Trunk Tools product platform, and get deeply hands-on with our core LLM-enabled agentic product experience. This isn’t yet another CRUD build! We’re creating the technology to unlock a new paradigm in how users interact with an app, that leverages the power of language models from the ground up. * Own capabilities end-to-end: We believe in individual ownership at Trunk Tools. As a full-stack engineer on one of our feature squads, you'll drive new capabilities from concept to production — collaborating with product and design to shape what gets built, writing code across the stack, and working directly with customer success as we deploy and scale new features with real users. * Collaborate closely with machine learning/vision engineers, LLM domain experts, and our integrations team: Our platform relies on complex integrations with third-party systems, extensive data processing capabilities, and a cutting-edge agentic layer. All of this technology comes together in our user-facing product: as you develop and deploy new capabilities, you’ll work in a highly collaborative and cross-functional way. * Constantly improve technical reliability and ability to scale: you’ll iterate on our backend architecture to support the growing needs of thousands of users, making sure our systems are built to scale as we grow. * Strategic participation: In this role you’ll help inform the architecture, practices, and tools you’ll use every day to shape what we build, and how. Who you are: * Demonstrable past experience in one or more leveraged, high-output full-stack engineering roles * Highly proficient in TypeScript and full-stack development across backend and frontend, with experience in our technical stack (Node + Express + React) * You have experience architecting systems, designing data schemas, and are comfortable with both relational and non-relational databases * You have previous experience shipping products to users, and enjoy the pace of a fast-moving startup environment * You’re energized by user impact and how high-quality engineering can be a multiplier – you care deeply about both what ships and how it’s built. Interviewing at Trunk Our interview process is designed to help us assess whether candidates would be a good fit for our company and open roles, as well as help candidates understand what it’s like to work on our team. We focus holistically on candidates’ alignment with our core values and their ability to work and operate under a high standard of excellence. All our interviews are performed remotely via Zoom. (1) Conversation with the hiring manager The first step of our interview process is an initial conversation with the hiring Engineering Manager. This session will focus on your background, skills, and relevant work history. We’ll discuss the projects and outcomes you’ve driven in your prior roles. As part of this conversation, we’ll tell you more about TrunkTools, expectations for the role, and leave ample time for your own questions. (2) Technical screen In this round, you’ll meet with a senior engineer on our team to review, understand, and refactor a small section of TypeScript code. You will screenshare your work from your own laptop. Please prepare by having Docker and your preferred code editor set up for this session. While we are in the business of applied AI and use LLM-equipped coding tools extensively internally, we still expect our software engineers to know how to code. We place a high value on candidates’ understanding of programming fundamentals, so during this and all other technical screens, we will ask you to write your own code (instead of relying on an agent). (3) Technical panels Following our technical screen, we have candidates attend two separate panel interview sessions: a full-stack interview and a system design exercise. Both sessions will be attended by a panel of two senior engineers. Our full-stack interview covers candidate’s familiarity with implementing features across the breadth of a TypeScript and Express codebase. We’ll ask you to work through implementation of a small feature end-to-end, starting from a React component, handling state management, API calls, backend controller and service changes, and interaction with a database. In the system design exercise, we’ll ask candidates to diagram an architecture for a hypothetical eCommerce application using a shared Zoom whiteboard. We’ll be focused on assessing the candidate’s broad familiarity with how web applications are structured and built. (4) Meet with the CTO As a last step in our process before the offer phase, we schedule a short conversation with our CTO. This session is more informal, covering shared alignment, fit, and answering any remaining questions about TrunkTools or engineering culture. What we offer 🎖️ A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters 💰 Competitive salary and stock option equity packages 🏥 4 Medical Plans to choose from including 100% covered option. Plus Dental and Vision Insurance! 🤓 Learning & Growth stipend 🏠 Flexible long-term work options (remote and hybrid) 🥨 Free lunch provided in the office in NYC & Austin - you’ll never go hungry with us! 🛫 Unlimited PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation 🏝 IRL / In-Person retreats throughout the year Please note: All official communication from Trunk Tools will come from an email address ending in @trunk.tools. If you receive outreach from any other domain, please disregard it or report it to us. At Trunk Tools, we’re working hard to build a more productive and safer environment within the construction industry, and we strive to live by these same values here at Trunk Tools HQ. As an equal-opportunity employer, we are committed to building an inclusive environment where you can be you. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, or any other legally protected class. Compensation Range: $166.5K - $215K

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in mathematics, statistical analysis, mathematical modeling, proof-based reasoning, computational mathematics, and structured quantitative review. This role supports current and upcoming remote consulting opportunities focused on mathematics-related task development, quantitative reasoning review, statistical analysis, mathematical proof evaluation, computational problem assessment, and high-quality project execution. Selected professionals will apply their mathematics expertise to review realistic technical scenarios, evaluate analytical outputs, prepare structured written feedback, and support accurate, evidence-based mathematics workflow tasks. Key Responsibilities Professionals in this role may contribute to: Mathematical Reasoning & Proof Review • Review mathematics-related materials involving proof-based reasoning, theoretical concepts, formal logic, and structured problem solving, • Evaluate mathematical outputs against source materials, assumptions, definitions, and documented review criteria, • Support structured review of proofs, derivations, solution explanations, quantitative arguments, and mathematical task outputs, • Review scenarios involving statistical analysis, mathematical modeling, probability, data interpretation, and quantitative methods, • Evaluate outputs for accuracy, consistency, clarity, and alignment with mathematical principles, • Support structured review of models, calculations, charts, statistical explanations, and analytical workflows, • Create or review tasks and deliverables based on real-world mathematics, modeling, and computational workflows, • Provide domain-specific feedback on mathematical accuracy, reasoning quality, solution structure, and technical communication, • Support evaluation workflows involving model outputs, quantitative reasoning, proof-style analysis, and computational mathematics Strong candidates may have: • Professional experience in mathematics, applied mathematics, statistics, mathematical modeling, computational mathematics, quantitative analysis, teaching, research, or technical review, • Background in one or more areas such as statistical analysis, probability, mathematical proof, theory, optimization, numerical methods, applied mathematics, or computational modeling, • Familiarity with workflows involving mathematical problem solving, formal reasoning, statistical interpretation, model review, and technical documentation, • Comfort reading and preparing mathematics artifacts such as proofs, calculations, models, statistical summaries, problem solutions, and analytical explanations, • Strong written communication skills, • A degree or professional background in mathematics, applied mathematics, statistics, data science, economics, computer science, engineering, or a related quantitative field is helpful, • Graduate-level study, research experience, teaching experience, publications, or applied quantitative work is highly relevant, • Experience with statistical modeling, mathematical proof writing, computational mathematics, numerical analysis, optimization, probability, or formal reasoning, • Familiarity with Python, R, MATLAB, Mathematica, LaTeX, spreadsheets, statistical tools, or mathematical modeling software, • Experience preparing or reviewing problem sets, technical reports, mathematical explanations, research summaries, benchmark tasks, or quantitative assessments, • Background in academic research, tutoring, teaching, data science, quantitative finance, operations research, or applied analytics, • Apply mathematics expertise to structured remote project work, • Contribute to high-quality mathematical review, quantitative analysis, proof evaluation, and computational reasoning workflows, • Work on flexible assignments aligned with your mathematics or quantitative background, • Use your analytical judgment in a focused, evidence-based review environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $65–$100 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. 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 DescriptionUpskills provides expert financial software consulting for investment banks and leading financial institutions in Asia Pacific, Middle East and Europe region. With a strong, Front to Back expertise of the cash and derivatives markets, coupled with an in-deep knowledge of financial markets technologies, we provide smart, business-wise and efficient solutions to our Clients. We are seeking dedicated Murex Market Risk Consultant to be based in New York to work in a client-servicing role to drive one of our client’s global system implementations, with responsibilities: • Design solution according to Market Risk business requirements., • Definition, execution & validation of validation test cases & deliverable package according to project methodology., • Support the client on SIT, and UAT test through case investigation and resolution., • Manage user requirements workshops and formulation of an overall solution design., • Modelling transactions and validation to ensure that the business requirements are met., • Work hands on to troubleshoot and debug Murex Market Risk issues., • Conduct analysis and propose solutions for business issues, process changes and functional requirements., • Assist in system integration, data migration and implementation., • Work with different teams and collaborate with stakeholders to deliver system solutions for the business., • Build a strong relationship and manage expectations with users and stake holders. Requirements • Master's or Bachelor's Degree, preferably from Financial Engineering, Applied Finance, Business or Computer Science or related discipline., • Experience of either Murex VAR, MRA or MRE configuration., • Possess Market Risk Knowledge of VaR/ES, Back Test, Stress VaR., • Understanding of Market Data and Rate Curve assignment methods in Murex., • Strong knowledge and functional experience on related Murex risk modules. E.g. MRA, MRE, MLC, • Pricing and Model assignment configuration in Murex., • Familiar with SQL &, XML, Unix commands., • Understanding of Greeks/Sensitivities., • Experience in managing and delivery of trading platforms for Treasury products., • Exposure to Financial Markets and Derivative products., • Strong time management skills and demonstrable problem solving/analytical skills.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest is seeking a Senior Manager with Rights Management expertise with a focus on the financial aspects of rights management (budgeting, forecasting, ultimates, royalties, participations, revenue recognition, etc) who will help us grow our Rights practice. We are looking for an organized & self-motivated leader who will guide teams to deliver exceptional quality & build strong relationships internally & externally along the way leading to exceptional client retention and new opportunities.What you'll do • Practice Development, • Support the IP & Rights Management practice on a strategic level, including revenue targets, a resource plan, and go to market strategies, • Establish and own relevant and key vendor relationships, • Sales, • Learn and get very comfortable with business development with the support of more senior and seasoned leaders in the Rights Practice, • Consistently identify potential opportunities by learning how to leverage your delivery experience to solve problems for our clients, • Lead the proposal process and/or help to grow an existing account/projects to meet relevant targets, • Independently develop sales proposal strategies and proposals, • Represent Qvest.US in the sales process as an expert with depth of knowledge in IP & Rights Management, • Methodology & Expertise, • Ability to quickly learn Qvest.US methodologies and templates, • Develop new methodologies, templates, and accelerators as needed to support Qvest.US effectiveness, consistency and relevancy in the Rights practice, • Project Delivery, • Demonstrate leadership in project delivery, sometimes over multiple projects, • Understand, develop and articulate complex business challenges into actionable plans, • Be a trustworthy leader to make the best decision for the project, team and client, • Independently deliver complex engagements with multiple resources and/or projects, • Manage executive relationships at project or account levelWhat you'll bring, • 10+ years Project Management and/or leadership experience – including experience with a large consulting company, • At least 4-6 years managing process/organization/strategy/SDLC/Implementation-based projects, • Subject matter expertise in content IP/Rights, especially in the Media & Entertainment and CPG space, • Rights management experience in content acquisition / production management, publishing / distribution, and licensing with a focus on the financial aspects of rights management (budgeting, forecasting, ultimates, royalties, participations, revenue recognition, etc), • Interest in and experience contributing to business development, • At least two Rights Management system implementations (e.g., Rightsline, RSG, Mediamorph, FilmTrack, Vistex), • Bachelor's degree in engineering, information systems, computer science, business administration, or other related fields, • Experience managing teams through client-facing activities such as requirements gathering, stakeholder workshops, and deliverable review/approval sessions, • Demonstrated aptitude building and managing to project plans and reporting status to clients and internal teams, • Agile or Scrum experiencePreferred Experience, • Media and Entertainment or CPG experience preferredTravel RequirementsEmployees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region. Remote & Hybrid WorkWhile remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive. Life at QvestWe were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel." Equal Employment OpportunityQvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

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 talented Senior Software Engineer to join our Product team. In this role, you will work closely with cross-functional teams to design and develop innovative products that enhance our platform's functionality and user experience. We have engineering hubs in New York City and Vancouver, 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 contributions will play a crucial role in enhancing our products and delivering value to our clients. Key Responsibilities: * Collaborate with product managers and designers to understand user requirements and translate them into technical specifications. * Design, develop, and maintain product features and enhancements for our platform. * Implement best practices in software development to ensure code quality, security, and performance. * Contribute to architectural decisions and continuously improve the technical stack. * Participate in code reviews and provide constructive feedback to peers. * Mentor junior engineers and contribute to a culture of knowledge sharing and learning. Minimum Qualifications: * Bachelor's degree in Computer Science or a related technical field. * 5+ years of experience in software development, with a focus on product engineering. * Proficiency in programming languages such as Python, Java, or similar. * Experience with modern web frameworks and technologies. * Strong problem-solving skills and the ability to think critically. * Excellent communication skills and the ability to work collaboratively in a team environment. Preferred Qualifications: * Experience with cloud platforms such as AWS or Azure. * Familiarity with microservices architecture and APIs. * Experience in Agile development methodologies. 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 (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 can hang out with teammates IRL at least twice a year ???? Salary Range: $150,000 - $250,000 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 DescriptionProduct Engineer (Full-Stack, Frontend-Leaning) Location: New York City (on-site in the office, relocation supported) Compensation: USD $170,000 – $220,000 + Equity Hiring: Up to 2 engineers Company: Confidential (represented by Worthland) About the Project Our client is a fast-growing, AI-native startup rethinking how a traditionally manual, relationship-driven industry operates at scale. With strong product–market fit, rapid growth, and backing from top-tier investors, the team is building a durable marketplace where AI and product design are core to how the business runs. The product is used daily by power users who rely on it as their primary workflow tool. Speed, clarity, and UX quality matter. This is not a side project or internal tool—it is the company’s core product. The Role As a Product Engineer, you will own the primary user-facing product end-to-end. You will work directly with the founder to decide what to build and why, not just how to implement specs. This is a true product engineering role: high ownership, frequent user feedback, fast iteration, and a strong frontend and UX focus, while still owning the full stack. There is no separate product manager layer. You are expected to think in terms of users, workflows, and outcomes, not tickets. What You’ll Work On Core Product (Primary Focus) • Design and build end-to-end product flows for a complex, high-usage dashboard, • Talk directly with users to understand real workflows, pain points, and edge cases, • Redesign and iterate on core flows to reduce friction and improve speed and clarity, • Improve discovery, filtering, and organization of complex information, • Build intuitive views that surface what matters without overwhelming users, • Collaborate closely with an Applied AI Engineer to integrate AI-powered features into the product, • Build UI and product experiences around AI outputs (summaries, scoring, recommendations), • Contribute to growth-oriented features across activation, engagement, retention, and monetization, • Ship polished, high-quality features with strong attention to interaction details, • Users feel the product is faster, clearer, and easier to use because of what you ship, • Core workflows become simpler and more efficient, • Product decisions are driven by real user behavior, not assumptions, • You are trusted as a product and engineering owner, not just an executor Requirements Must-Have • 4+ years of experience building full-stack products end-to-end, • Strong frontend and product sensibility, with solid backend fundamentals, • Proven experience owning a product surface or workflow, not just isolated features, • Comfort working in fast-moving, low-process environments, • Experience at an early-stage or high-growth product company, • Background building tools for power users (dashboards, CRMs, internal tools), • Experience collaborating closely with founders, • Highly scoped tickets with detailed specs, • Minimal user interaction, • Narrow frontend-only or backend-only ownership, • High ownership over a core product used daily, • Direct access to the founder and real decision-making influence, • Opportunity to shape product direction, not just implement it, • Competitive compensation, meaningful equity, and long-term upside Interview Process • Intro Call (30 minutes): High-level screening to assess product mindset, ownership, and mutual interest in the company, role, and stage., • Technical Interview (60 minutes): Open-ended product challenge focused on problem framing, solution design, and tradeoff thinking rather than algorithm trivia., • Behavioral Deep Dive (60 minutes): Discussion of background, values, user empathy, and how the candidate operates in ambiguous, founder-led environments., • On-Site (Full Day): Work through real product problems together in person to evaluate collaboration style, decision-making, and end-to-end product thinking. First 30 Days: What Success Looks Like Week 1 • Talk directly with recruiters and observe how they actually use the product day-to-day, • Dig into real pipelines and workflows to understand pain points and friction, • Identify the biggest usability and efficiency gaps, • Ship meaningful improvements in those focus areas (new features, UX fixes, simplified flows), • Remove friction from core workflows and improve speed and clarity for users, • Begin owning the product roadmap, using the founder as a thought partner rather than a project manager What We Look For (Strong Signals) • Founding or early engineer at a seed / Series A startup who built core product and talked to customers regularly, • Technical founder with clear 0→1 experience and strong customer obsession (regardless of startup outcome), • Product engineer from a product-led growth environment (e.g., Figma-, Notion-, Vercel-style teams) with strong craft and UX sensibility, • Forward Deployed Engineer–type profiles: high agency, customer-facing, and comfortable figuring out what to build on the fly, • Has launched something meaningful from 0→1 (startup, internal product, or substantial side project), • Can clearly explain what they built, why they built it, and the tradeoffs involved, • Comfortable operating without dedicated PMs or with very light product support, • Proactively identifies problems and proposes solutions instead of waiting for tasks, • Has spoken directly with users and changed what they built based on feedback, • Can point to shipped features that moved a real business metric (activation, conversion, retention, or revenue) Not a Fit If You Prefer • Pure backend or infrastructure roles with little exposure to product or users, • Frontend work limited to executing designs without product input, • Highly structured environments with detailed specs and heavy PM ownership, • Being assigned tasks rather than owning problems end-to-end, • Inability to explain the business or user impact of past work, • Needing fully defined requirements before starting and discomfort with changing priorities

Job DescriptionABOUT US At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's retail brands including American Eagle and Gap. We're building the future of in-store experience where every product and every person can be precisely located in real time. Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world's largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences. We're a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond! OUR VALUES • Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters., • Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together., • High Impact: You'll make meaningful contributions from day one and help shape the future of our product and company., • Clear Communication: We value honesty, humility, and respectful dialogue—everyone's voice matters., • Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work., • Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints. The work is cross-functional by nature. It requires enough technical depth to have credible conversations about data pipelines, model behavior, and integration architecture, and enough operational grounding to work effectively with the teams responsible for deploying proprietary hardware into live retail environments. Responsibilities: • Platform & Integration, • Own the roadmap for the platform layer that sits between RADAR's proprietary sensing infrastructure and the retailer's existing technology stack, including APIs, event streaming, tag lifecycle management (commission through decommission), zone configuration, and system health observability, • Define the integration model for third-party hardware that supports program enablement: RFID printers, POS systems, and peripheral devices that feed or depend on RADAR's sensing data, • Ensure the platform is designed for sensing modality extensibility beyond RFID; as next-generation hardware introduces additional sensing inputs, the platform's data model and integration contracts need to accommodate them without requiring retailers to re-integrate, • Own retailer onboarding as a product problem: reduce time-to-go-live by improving self-serve configuration tooling, simplifying the integration surface, and reducing the custom engineering work required for each new deployment, • Define API standards and data contracts that downstream retailer systems (WMS, OMS, ERP, POS) can build against reliably, and manage versioning and deprecation in a way that doesn't break active integrations, • Drive platform reliability from a product perspective, defining uptime expectations, degraded-mode behavior, alerting standards, and the accountability model for incidents that affect live retail environments, • Shopper Experience & Conversion, • Own the roadmap for product capabilities that use RADAR's real-time inventory and sensing data to improve the in-store shopper experience, including self-checkout enablement, frictionless returns, fitting room workflows, and in-store shopper analytics, • Define the product layer that connects RADAR's sensing data to shopper-facing activation channels: POS integration, retailer mobile apps, clienteling tools, and retargeting infrastructure, • Drive the shopper analytics product, defining what behavioral signals RADAR's platform can surface (dwell, zone traffic, conversion patterns) and how retailers can act on them through existing CRM, marketing, and operations systems, • Own requirements for ML-driven detection features (motion classification, exit event detection, shopper behavior inference), including evaluation criteria, accuracy thresholds, edge case handling, and the retailer-facing data format, • Define success metrics that bridge the physical sensing layer to measurable shopper outcomes: conversion rate, return rate, shrink reduction, and experience-level KPIs that retailers can attribute to RADAR's capabilities, • Manage the tradeoff between ML inference quality, latency constraints, and the configuration flexibility retailers need to deploy these features across varied store formats, • Cross-Functional Partnership, • Partner daily with engineering on scope, sequencing, and technical tradeoffs; this role requires genuine technical fluency, not just facilitation, • Work with data science to translate ML model outputs into production-ready product features, including threshold calibration, explainability requirements, and edge case handling, • Coordinate with Customer Experience and Deployment Operations on retailer onboarding timelines, integration requirements, and escalated platform issues that have product implications, • Work with Store Planning on deployment sequencing, hardware installation constraints, and the downstream effects of physical infrastructure on software product timelines, • Collaborate with commercial teams to ensure roadmap sequencing supports active retailer commitments and near-term pipeline, • Produce clear written artifacts (specs, decision memos, tradeoff analyses) ABOUT YOURequired:, • 10+ years of overall professional experience, with 5+ years in a product management role, • Demonstrated ownership of a technical B2B product, with platform, API, or integration scope preferred, • Experience taking data-driven or ML-adjacent features from problem definition to production, including defining evaluation criteria and managing model feedback cycles, • Ability to evaluate technical tradeoffs and have substantive conversations with engineering about system design, data contracts, and infrastructure constraints, • Strong written communication; produces clear, self-contained specs and decision documents, • Track record of operating independently across multiple concurrent workstreamsPreferred:, • Experience in retail technology, supply chain, or domains where physical-world sensor data feeds digital systems, • Familiarity with RFID, IoT, or hardware-adjacent sensing platforms, • Experience working alongside hardware engineering teams on next-generation sensor or device products, contributing to product definition, requirements scoping, and roadmap coordination across firmware and physical hardware disciplines, • Prior work on integration or middleware products serving enterprise customers with heterogeneous tech stacks, • Experience defining product metrics in environments where attribution across physical and digital channels is complex, • Comfort operating in environments where software delivery depends on physical deployment timelines and field operations constraintsWHAT YOU'LL DOIn your first 30 days, you will:, • Build a working understanding of RADAR's platform architecture, active retailer programs, and the current state of initiatives across the domain, • Meet and establish working relationships with your primary counterparts across engineering, data science, Customer Experience, and Deployment Operations, • Orient yourself to the existing roadmap, open decisions, and known gaps without yet trying to change directionIn your first 60 days, you will:, • Have a clear point of view on the highest-leverage opportunities and gaps in the domain, with supporting rationale, • Be actively contributing to roadmap planning and sprint-level decisions alongside engineering, • Have identified the metrics and reporting gaps that limit the team's ability to track progress, and have a plan to address themIn your first 90 days, you will:, • Own a domain roadmap that is sequenced, defensible, and aligned with engineering capacity and retailer commitments, • Have at least one initiative meaningfully advanced as a result of your direct involvement Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness. Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub's Product Security Engineering Team is seeking a Senior Engineer to enhance our security posture within the end user and services product domain. The perfect candidate will possess experience in CI/CD pipeline security, product and application architecture reviews, contextualized vulnerability management processes, and automation. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA About the team: StubHub's Product Security Engineering Team plays a critical role in securing the platforms that power the world's largest ticket marketplace. This team works hands-on with cutting-edge tools and cloud-native technologies to embed security into every layer of the software development lifecycle—from architecture to automation. If you're passionate about offensive security, CI/CD hardening, and driving real impact across modern product teams, this is your opportunity to lead and innovate at global scale. What You'll Do: • Conduct security assessments, code reviews, and penetration tests on web applications, APIs, and mobile apps to identify vulnerabilities and flaws., • Collaborate with development teams to embed security into CI/CD pipelines, including the implementation of automated code scanning tools., • Develop and maintain secure coding guidelines and conduct security awareness training for developers., • Respond to security incidents, perform root cause analyses, and recommend effective remediations., • Stay current on emerging security threats, vulnerabilities, and mitigation strategies; proactively share insights across teams., • Help develop and enforce application security policies, standards, and procedures aligned with industry regulations and best practices., • Conduct architectural reviews to ensure the security of new technologies and controls., • Build and maintain robust product vulnerability management processes and procedures., • Write and maintain production-grade APIs to automate security processes and streamline infrastructure and developer workflows., • Demonstrated expert-level understanding of offensive web application security testing and defense-in-depth remediation strategies., • Expert-level skills in vulnerability assessments and code reviews., • Extensive experience with automated security testing tools (e.g., Burp Suite, OWASP ZAP, Snyk)., • Strong communication skills, with the ability to convey complex security concepts to both technical and non-technical audiences., • Hands-on experience in applied cryptography and key management., • Proven ability to implement SAST, DAST, and SBOM tooling within development workflows., • Experience in performing structured threat modeling (e.g., STRIDE, PASTA)., • Intermediate proficiency in at least one scripting language (e.g., Python, Ruby)., • Industry-recognized security certifications (e.g., OSCP, CEH, CISSP, GWAPT)., • Intermediate-level experience with cloud security principles and technologies in AWS and Azure., • Understanding of Kubernetes security fundamentals, including the use of admission controllers, network policies, role-based access control (RBAC), and ingress architecture design., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$200,000—$250,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

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 Physical AI team at CoreWeave works directly with some of the world's most advanced engineering organizations to identify, architect, and deploy AI-driven solutions to intractable physics challenges. This team sits at the intersection of industry expertise, machine learning innovation, and large-scale compute infrastructure, helping enterprise customers translate ambitious AI visions into practical, scalable deployments. As CoreWeave continues to expand its capabilities in AI infrastructure and applied machine learning, this team plays a critical role in helping customers identify transformative engineering problems and design credible technical pathways to solve them. About the role: • CoreWeave is seeking a Product Strategist to translate executive-level AI ambitions into scoped, executable deployment programs inside large engineering organizations, particularly in the automotive and advanced manufacturing sectors., • In this role, you will partner with Solutions Engineers, Product and Account Executives to shape high-impact AI opportunities and convert them into technically credible starting points for deployment., • You will engage senior engineering and executive stakeholders to translate broad AI ambitions into structured problem statements and phased implementation roadmaps., • 5-10+ years experience working in product strategy for software where the clients are large enterprises (ideally large-scale engineering organizations but also other large companies are possible), • 3+ years experience designing or deploying AI, machine learning, simulation, or data-driven software solutions within enterprise environments., • Demonstrated ability to translate high-level technical strategy into implementation roadmaps and clearly defined technical scopes., • Experience assessing technical readiness, data availability, and organizational constraints that impact the success of AI deployments., • Experience collaborating with cross-functional teams including sales, solutions engineering, field engineering, and product teams., • Strong understanding of AI/ML workflows, data pipelines, and infrastructure considerations for production deployments., • Experience engaging with senior technical stakeholders including engineering leadership, simulation/test teams, and data platform teams., • Bachelor's or Master's degree in Engineering, Computer Science, Applied Mathematics, or a related technical discipline., • You enjoy connecting complex industry problems with emerging AI and infrastructure capabilities., • You are curious about how machine learning and large-scale compute can transform engineering workflows., • You enjoy translating complex technical strategy into practical, executable implementation plans., • You thrive when working across both technical and commercial teams to shape impactful solutions. Why CoreWeave? 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 $206,000 to $303,000. 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 DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are looking for a Senior Data Scientist to join our Compliance Program and play a pivotal role in modernizing and strengthening our financial crime detection capabilities. You will architect, build, and optimize data-driven transaction monitoring models, coverage assessment frameworks, and advanced analytics solutions that directly support BSA/AML regulatory compliance, including but not limited to SAR filing, Customer Identification Program elements, and Enhanced Due Diligence measures. The role will also support the OFAC Sanctions, Fraud and overall risk prioritization across multiple products and jurisdictions. This is a high-impact, cross-functional role that blends advanced analytics, machine learning, and deep compliance domain expertise. You will work closely with Compliance, Engineering, Model Risk, Product, and external regulators to ensure our controls are robust, defensible, and scalable. RESPONSIBILITIES: • Design, develop, and enhance AML and fraud models, rules, and heuristics using Python, SQL, and AI-enabled tooling; partner with the Compliance Machine Learning team on model reviews to improve detection rates and reduce false positives., • Build and maintain interactive performance dashboards and automated reporting solutions that track key risk, productivity, and capacity metrics for senior leadership and regulators., • Architect and implement enterprise-wide Transaction Monitoring Coverage Assessment frameworks, including standardized methodologies for gap identification, root-cause analysis, remediation planning, and ongoing sustainability monitoring., • Lead complex data initiatives, including extraction of SAR filing metrics with product-level breakdowns and development of jurisdiction- and typology-specific SAR narrative generator tools., • Embed data science best practices into product launches and feature rollouts to proactively identify and close monitoring coverage gaps., • Support regulatory examinations (e.g., NYDFS Part 504) by preparing analytical documentation, third-party validation materials, and executive certification packages., • Drive continuous improvement of compliance operations through automation, process optimization, and advanced analytics.BASIC QUALIFICATIONS:, • 7+ years of hands-on data science / advanced analytics experience in financial services, with at least 4 years focused on fraud and financial crime compliance., • Master's degree (or higher) in Applied Mathematics, Statistics, Data Science, Actuarial Science, or a related quantitative field., • Proven track record of building and optimizing transaction monitoring models, coverage frameworks, or compliance analytics programs in a regulated environment (fintech, bank, or payment company preferred)., • Deep understanding of BSA/AML regulations, suspicious activity reporting, customer due diligence, sanctions screening, and model risk management principles., • Demonstrated ability to translate complex regulatory requirements into actionable data solutions and present findings to senior leadership and regulators., • Certified Anti-Money Laundering Specialist (CAMS) or equivalent compliance certification is strongly preferred.PREFERRED SKILLS AND EXPERIENCE:, • Experience leading cross-functional initiatives involving Engineering, Legal, Product Compliance, and external consulting partners., • Background in building internal case management systems, SAR automation tools, or RPA solutions., • Familiarity with AML detection platforms. Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. ITAR REQUIREMENTS:

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 You'll Do: A lab signs with CoreWeave. They have thousands of GPUs waiting. Their first month? Spent on cluster setup instead of research. Building deployment scripts, fighting container images, wiring up job orchestration. They came to train models. Instead, they're doing operations. This is the problem. We're building the Applied Training team to fix it. You'll be an early member of a small team, responsible for our Kubernetes-native research cluster platform, or the sandbox client for agentic training and evaluation, or possibly a new project altogether. The goal is specific: Give every CoreWeave customer the research infrastructure that currently only exists inside frontier labs. About the role: • Contribute to the roadmap for Applied Training. Figure out what actually unlocks new workloads and what's just nice to have. Work directly and closely with customers, and other teams inside of CoreWeave that are building cloud native primitives. Compute, storage, networking, etc., • For the research cluster platform: design and build a complete research cluster experience. CLI, job configuration schema, Kubernetes operators, daemons. Solve the problems researchers actually hit: code distribution, checkpoint-triggered evaluation, cross-cluster scheduling, programmatic job control. Replace the patchwork of scripts customers keep building on their own., • For sandbox infrastructure: own the Python SDK and work in a very tight loop with the backend team. When an RL training run needs to spawn thousands of isolated containers for agent rollouts, that's this system. When someone wants to run agent benchmarks at scale, that's this system. Make it work with our Kubernetes clusters, storage, and auth so researchers don't have to think about infrastructure., • Write the documentation for running popular OSS training frameworks on CoreWeave. The work that can unblock customers and help them succeed., • Work with infrastructure teams and customers directly. The customers are large AI labs running thousands of GPUs. Understand how they structure their internal supercomputing stacks. Bring that knowledge back to what we build.Who You Are:, • 5-8+ years building distributed systems, ML infrastructure, or developer platforms., • Real Kubernetes experience: custom controllers, operators, scheduling, CRDs, workload orchestration at scale. Not just deploying things to Kubernetes or cluster administration., • Excited about rigorous engineering, but enabled by AI based workflows., • You understand what makes researchers productive. Code distribution matters. Fast iteration cycles matter. Workflows that don't require becoming infrastructure experts matter., • Familiarity with training: how distributed jobs get scheduled, how ranks initialize, what breaks at scale., • You've shipped infrastructure that other people rely on daily. Not prototypes. Production systems., • Experience building internal ML platforms or research clusters at a company doing large-scale training., • Familiarity with agentic AI: RL training with rollouts, agent evaluation, sandbox isolation for running untrusted code., • Background with Slurm, Ray, or similar workload orchestration. Opinions on where they fall short., • Experience with container runtimes, isolation (gVisor, Kata), or serverless platforms., • 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 Lead Knowledge Strategist Description: • As a Community Support Lead Knowledge Strategist, you will be responsible for maintaining the knowledge platforms, communications and information/process flows for our CS ambassadors., • You will work on large projects, often involving multiple Knowledge Editors, to ensure the ambassadors have accurate and current information that’s easy to find. You will work with cross-functional partners, Knowledge Editors and Knowledge Management Leads to collect requirements, define, document, and deliver agent facing content. Duties:, • You are responsible for translating information into clear, easy to understand content across internal knowledge bases in line with tone and voice standards, • Content types you create and maintain include internal solution articles, Community Support standard responses, and call scripts., • You independently manage and oversee complex content and knowledge management tasks and Lead (high-impact) initiatives that improve the accessibility and quality of our content often involving other content writers, and together deliver to expected timelines and standards., • You own overall team performance against certain content KPIs, including tracking and communicating progress and/or improvement opportunities, • You work with our program & product managers and engineering to design, set up and deliver new content and knowledge services, incl. the setup of content and knowledge repositories, such as bespoke knowledge bases or new content types, • You work with program & product managers, data analytics and engineering to measure content effectiveness, identify improvements, propose and deliver plans to increase content quality & effectiveness (SEO, workflow utilization, etc)., • You influence tone/voice standards, and shape CKMPO's tone/voice standards with standards in mind, • You are responsible for optimizing our internal CKMPO processes, standards, training, and toolingRequirements:, • Excellent writing, editing, and proofreading skills, • Resourceful, adaptable and comfortable with ambiguity; you have worked in a fast-paced environment, • 7+ years of experience in multi faceted technical and instructional content writing/content strategy, • Highly versed in the adopting, developing and rolling out of content style standards (e.x. Chicago Manual of Style) and information management strategies/taxonomies, • Well versed working with various C/KM systems (Drupal, Confluence, ContentStack, Contenful, etc.) and experiencing setting up/administrating C/KM systems., • In-depth knowledge of customer service and contact center operations, strong experience writing for customer support audiences, • Proven ability to work in a multicultural, multilingual and global organization; highly familiar with the dynamics and culture of working in global teams., • Strong project management and organizational skills, with the ability to prioritize tasks and manage multiple projects simultaneously., • Applied Content & Knowledge Management methodologies; Holds Content/Knowledge Management certifications (KCS, UX, SEO) or acquired deep practical expertise related to these areas., • Experience mentoring team members, distributing work and assuring its delivery, and sharing success amongst a global teamCompensation:, • $62.71 – 68.97/hr W—2Req ID:, • 36482648

Job Description Company introduction: Compass Pathways plc (Nasdaq: CMPS) is a biotechnology company dedicated to accelerating patient access to evidence-based innovation in mental health. The Company is headquartered in London, UK, with offices in New York City in the US. We focus on developing novel treatments that have the potential to improve the lives of those who are suffering with mental health conditions and who are not helped by current treatments. We are pioneering a new paradigm for treating mental health conditions focused on rapid and durable responses through the development of our investigational COMP360 synthetic psilocybin treatment, potentially a first in class treatment. COMP360 has Breakthrough Therapy designation from the US Food and Drug Administration (FDA) and has received Innovative Licensing and Access Pathway (ILAP) designation in the UK for treatment-resistant depression (TRD) due to the pressing unmet need in this area. We are currently in phase 3 for TRD, have completed phase 2 studies for both post-traumatic stress disorder (PTSD) and anorexia nervosa and are planning a further late-stage study in PTSD. We envision a world where mental health means not just the absence of illness but the ability to thrive. - Compass Pathways. Job overview: The Director, Product Quality provides strategic direction for Compass product manufacture and distribution through internal and external partnership development. This role ensures quality strategies across Compass operations and throughout the product lifecycle for all Compass products, maintaining alignment with GMP/GDP requirements. The Director, Product Quality also guides the Compass QMS to ensure processes adapt to changing business needs, company goals, and GxP regulatory requirements. Location: Hybrid in our New York City office or remote on the East coast, USA. Reports to: Vice President, Quality. Roles and responsibilities (Include but are not limited to): QA Expertise * Maintain oversight of current and evolving global regulatory requirements, proactively assessing impact to Compass products and developing remediation plans where required * Provide subject matter expertise in GMP and GDP, ensuring consistent application across internal and external operations Leadership * Drive enterprise Quality strategy across Supply Chain, Manufacturing, and QMS to reduce operational risk, optimize performance, and support the Compass business through growth and transformation * Lead, develop, and coach the Product Quality team, building strong Quality capability and enabling effective Quality partnerships across the organization * Act as the primary Quality point of contact for Compass Supply and Contract Manufacturing Organizations (CMOs) * Provide Quality support and oversight for Manufacturing and Supply, spanning both IMP and commercial supply chains * Deputize for VP, Quality when required Product Quality Management * Define and implement phase‑appropriate ways of working with external partners, ensuring alignment with Compass strategies and regulatory expectations * Manage all Quality aspects of commercial readiness activities, within Compass and across the extended supply chain * Drive strong, collaborative Quality relationships with CMOs, ensuring alignment with Compass QMS requirements and commercialization objectives * Build a robust and resilient supply chain while ensuring compliant, cost-effective processes that support profitable growth * Provide strategic Quality direction to support dual supply for clinical (IMP) supply and a fully commercial supply chain Candidate Profile: * Broad based knowledge of the pharmaceutical industry at least 12 years' experience in the industry of which 7 should be at a managerial level. * Scientific/engineering degree or equivalent combination of education and experience * Postgraduate qualification in Quality Management or equivalent combination of education and experience * A proven understanding of GMP, GCP, Pharmacovigilance and Quality Management requirements as applied in the industry * Excellent understanding of continuous improvement in a pharmaceutical environment * A passion for continuous improvement and experience applying techniques such as RCA root-cause analysis, CAPA, Lean, Six Sigma * Ability to identify appropriate KPI's, implement and use as control mechanisms and drive change and improvement * Extensive experience of establishing and leading the QMS system and process, in a highly regulated environment across multiple sites, GxPs and locations * Proven ability to present effectively to all levels of an organization to include project rationale and updates, strategic plans * Ability to build effective relationships (internal and external) * Excellent verbal and written communication skills, including the ability to interact effectively with different audiences * Excellent networker with the ability to collaborate and agree outcomes * Ability to understand quality issues in a complex a highly regulated environment and make data driven recommendation/decisions and take appropriate action * Proven record of leading management and staff to deliver business plans 【For NYC】Compensation Description (annually): Please note that the base salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. Base pay is one part of the Total Package that is provided to compensate and recognise employees for their work and any role at Compass, regardless of the location, is eligible for additional discretionary bonuses and equity. 【Base salary per annum】:$180,000—$240,000 USDBenefits & Compensation: For an overview of our benefits package and compensation information, please visit "Working at Compass". Equal opportunities: Reasonable accommodation We are committed to building a workplace where everyone's wellbeing matters. If you need reasonable accommodation during the interview process to be at your best, please let our recruiting team know. UK applicants We are proud of our commitment to diversity and equality (pursuant to the Equality Act 2010). We do not discriminate based upon race, religion or belief, colour, nationality, ethnic or national origin, gender, pregnancy or maternity, marital or civil partner status, sexual orientation, gender reassignment, age or disability. US applicants Compass Pathways is proud to be an equal opportunity employer. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, and related medical conditions), ethnicity, age, disability, sexual orientation, gender identity, gender expression, military service, genetic information, familial or marital status, or any other status, category, or characteristic protected by applicable law. Sponsorship: Unfortunately, we cannot sponsor employment visas and can only accept applications if you have employment rights in the country to which you are applying. Data Privacy: All data is confidential and protected by all legal and data privacy requirements, please see our recruitment Privacy Notice to learn more about how we process personal data.

Job Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals. Our customers are our greatest asset. Syndio partners with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes. Join us in our mission to help companies make smarter pay decisions they can trust! About the role: We are seeking a talented Staff-level AI Developer to join our applied AI team. In this role, you will be responsible for designing, building, and scaling our AI systems that solve complex problems related to compensation and compliance. You'll work closely in a cross-functional squad that includes data scientists, software engineers, product managers, and business stakeholders. You will have the opportunity to work at the forefront of AI innovation–exploring emerging tools and techniques while translating them into production-ready solutions that deliver real business impact. Why this job is exciting: • Design, develop, and deploy production AI/ML systems that deliver business impact to our customers., • Build and maintain LLM-based applications leveraging context engineering techniques and toolsets., • Collaborate with data scientists to transition approved proof of concepts from a research environment into production., • Integrate AI capabilities into existing products and services through APIs and microservices., • Design and implement evaluation frameworks to assess model accuracy, reliability, and task-specific performance., • Monitor production performance and implement optimizations based on evaluation metrics and real-world usage patterns., • Proficiency developing clean modular and efficient code with Python, • Track record building and deploying AI systems within Google Cloud Platform, familiarity with BigQuery, Firebase, and Vertex AI, • Working knowledge of Google Gemini, OpenAI, and Anthropic APIs, • Familiarity with evaluation methodologies for assessing LLM accuracy, hallucinations, and task-specific performance, • Exposure to—or strong interest in—vector databases, semantic search, agent frameworks, and protocols like MCP for connecting AI systems to external tools and data sources, • Fluent with AI-assisted development tools (Cursor, Claude Code, GitHub CoPilot), • Foundational knowledge of machine learning concepts, model architectures, and LLM capabilities and constraints, • Natural curiosity and passion for staying current with rapidly evolving AI technologies, • Ability to balance innovation with practical business requirements, • Adaptable when navigating ambiguity and rapidly shifting priorities We believe in starting simple, soon — progress over perfection. We value architectural clarity and execution speed. You'll be joining a small, ambitious team committed to high trust, low ego collaboration. It's a dynamic environment where teams embrace ambiguity, adapt quickly to change, and move fast to seize opportunity. As such, we empower engineers to make bold moves and back it up with a culture that supports learning through iteration. Why you'll love it here: • 💰 Competitive Compensation. For this role our base salary is targeted at $205-244k CAD. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location., • 🏆 Syndio Equity. So you can share in Syndio's success., • 🏝 Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, parental leave, and voting leave., • 🩺 Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents., • 🏥 Life Insurance & Disability. Syndio covers the full premium., • 🏦 401(k). To help you save for your future Below you'll find an outline of the interview plan for our Staff AI Developer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. • 30 min - Phone call with a member of our Talent Team, • 75 min - Zoom interview with the Hiring Manager, • Skills Evaluation - Take-home Assignment, • 75 hr - Technical Interview with Team Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job Description EMPLOYMENT OPPORTUNITY Join The Franklin School: Shaping the Future of Education The Franklin School is redefining high school education through an innovative, applied-learning approach that equips students with the skills, mindset, and adaptability to thrive in an ever-changing world. We are seeking passionate educators and industry professionals who are committed to fostering a dynamic, interdisciplinary learning environment where students engage deeply with real-world challenges. At Franklin, we blend historical best practices with cutting-edge educational strategies, including Transdisciplinary Learning, Experiential Learning, and a future-proof curriculum that integrates emerging technologies, leadership development, and creative exploration. Our Maker Curriculum and Skills Curriculum provide students with hands-on opportunities to experiment, invent, and tackle complex global issues using Systems Thinking, Agile Thinking, Complex Problem-Solving, Artificial Intelligence, and more. Through micro-courses and electives designed by experts, we expose students to industry-leading practices in fields such as engineering, business incubation, journalism, and digital design. As part of our team, you will play a pivotal role in shaping the next generation of leaders, thinkers, and innovators. Franklin offers a collaborative, forward-thinking environment where educators are empowered to push boundaries, explore new methodologies, and inspire curiosity in every student. If you are passionate about education, eager to make an impact, and ready to challenge conventional teaching models, The Franklin School is the place for you. Join us in creating a school where learning is an experience, innovation is celebrated, and students are prepared to lead with confidence in an evolving world. Director of School Counseling Grades 9-12 Full Time, 7:45 am - 3:45 pm Compensation commensurate upon experience: $75,000-$115,000/annum Position Overview The Director of School Counseling is a key member of the school’s leadership team, responsible for the strategic vision, implementation, and oversight of a comprehensive, developmentally appropriate counseling program that prioritizes the social, emotional, and psychological well-being of students in grades 9–12. This position focuses on creating a culture of care and proactive support across the student body. The Director will lead individual and group counseling efforts, guide faculty and families in responding to student concerns, develop and supervise a Peer Support Program, and build strong, responsive relationships with external clinical providers and wellness partners to ensure all students have access to high-quality support beyond the school walls. Roles and Responsibilities: Leadership & Program Development Design, implement, and regularly evaluate a comprehensive school counseling program aligned with best practices in adolescent mental health and development. Serve as the chief architect of wellness culture at the school, shaping policy, practice, and pedagogy around student mental health, resilience, and socio-emotional growth. Collaborate with division heads, faculty, and deans to integrate social-emotional learning principles and mental wellness into the broader academic and co-curricular life of the school. Provide confidential short-term counseling, case management, and crisis intervention for students, while establishing pathways for appropriate long-term referrals. Peer Support Program Oversight Design and launch a robust Peer Support Program, including the recruitment, training, and supervision of peer mentors and student leaders. Develop clear protocols and training modules in collaboration with external experts to ensure student safety, confidentiality, and professionalism. Monitor the efficacy and impact of peer-led initiatives and continuously refine the program to reflect student needs and current research. Student Support & Crisis Response Serve as the first point of contact for student mental health crises during school hours. Coordinate closely with deans, advisors, and classroom teachers to identify students of concern and initiate proactive interventions. Maintain thorough, confidential documentation of student cases and communications in compliance with ethical and legal guidelines. External Provider Network & Family Engagement Establish, vet, and maintain a referral network of external clinical providers, including therapists, psychologists, psychiatrists, and assessment professionals. Serve as the school’s primary liaison with outside professionals, coordinating care plans and ensuring continuity of support between school and external settings. Provide structured support for families navigating mental health care systems, including workshops, one-on-one guidance, and facilitated family meetings when necessary. Faculty Collaboration & Professional Development Provide training and consultation for faculty and staff on issues related to adolescent mental health, trauma-informed teaching, student behavior, and mandated reporting. Develop and lead workshops or drop-in sessions to help teachers support student wellness within classroom contexts. Participate in the Professional Learning Community as a thought partner and co-designer of well-being-focused initiatives across the school. Institutional Engagement & Strategic Planning Contribute to the school’s strategic vision as a senior leader, offering input on policies, schedules, and programs from a student well-being perspective. Ensure that equity, inclusion, and belonging are embedded within all counseling and wellness programming. Stay current with national trends in school counseling and adolescent development and represent the school at relevant professional organizations and conferences. The Ideal Franklin Teacher The ideal Franklin teacher is a dynamic and innovative educator who is passionate about shaping the future of education. They are deeply committed to student-centered learning, bringing energy, creativity, and adaptability to the classroom. More than an instructor, they are a mentor and guide, inspiring students to think critically, solve complex problems, and explore interdisciplinary connections. At Franklin, we seek educators who thrive in a collaborative and forward-thinking environment. Our teachers embrace applied learning, leveraging real-world experiences, emerging technologies, and transdisciplinary approaches to deepen student understanding. They foster a culture of curiosity, encouraging students to take intellectual risks and engage in meaningful inquiry. Beyond the classroom, Franklin teachers actively contribute to the school community, sharing their expertise and passions through our Skills, Micro-Courses, and Electives programs. They are eager to mentor students, collaborate with colleagues, and continually refine their practice to stay at the forefront of educational innovation. Above all, the ideal Franklin teacher embodies our core values of joy, kindness, and respect. They cultivate an inclusive, supportive environment where diverse perspectives are valued, and every student feels seen, heard, and empowered to succeed. If you are an educator who believes in reimagining high school education and preparing students for the challenges of tomorrow, we invite you to join our community and help shape the future of learning. Equal Opportunity & Accessibility at Franklin The Franklin School is committed to an inclusive, accessible, and barrier-free recruitment process. We accommodate individuals with disabilities and long-term health conditions, if you need adjustments or alternative formats, let us know. We are an equal opportunity employer dedicated to maintaining a workplace free from discrimination based on race, color, religion, national origin, gender, sexual orientation, age, disability, genetic information, veteran status, marital status, or any other protected status. Powered by JazzHR nnyPHxrpSd

Job DescriptionJob Description:We are seeking a highly skilled AI Software Engineer to design, develop, and deploy advanced AI-driven solutions. This role involves working within an agile team to build intelligent systems, agentic workflows, and AI-powered tools that enhance software engineering productivity and operational efficiency.The ideal candidate will have strong experience in software development and applied AI, with a focus on integrating machine learning models into scalable, production-grade systems.Key Responsibilities AI & System Development • Design, build, and maintain agentic workflows and autonomous AI systems, • Develop and integrate AI/ML models into production applications, • Implement orchestration logic for multi-agent systems and automation pipelines, • Write clean, scalable, and maintainable code, • Apply modern software development practices in an agile environment, • Contribute to architecture, design, development, and delivery cycles, • Work closely with cross-functional teams (engineering, product, data), • Gather requirements and translate them into AI-driven solutions, • Monitor, evaluate, and optimize AI systems in production, • Stay updated on advancements in AI, LLMs, and agent-based architectures, • 7–15 years of overall experience in software engineering or related fields, • 2–5 years of hands-on experience in AI/ML or data engineering, • Proficiency in Python or another modern programming language (Java, Go, Ruby), • At least 1–3 years experience with Java 17+, • Experience building agentic workflows or multi-agent systems, • Familiarity with orchestration frameworks such as:, • LangChain, • AutoGen, • CrewAI (or similar), • Strong understanding of:, • Large Language Models (LLMs), • Prompt engineering, • AI system design, • Experience with:, • Cloud platforms (AWS, Azure, or GCP), • Containerization (Docker, Kubernetes), • APIs, microservices, and system integration, • Strong problem-solving, analytical, and communication skills, • Experience with AWS environments and services, • Exposure to enterprise-scale AI implementations, • Knowledge of financial services or regulated environments #ZR

Job Description About Wonder Everything’s on the menu at Wonder. Except compromise. Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix and match hundreds of dishes from 20+ exclusive restaurants in a single order, so everyone gets exactly what they’re craving. Enjoy everything from tacos to Thai with $0 delivery fees, plus dine-in or pick up at a Wonder location near you. Each dish is made to order on-site by our culinary team and served hot. Behind the scenes, Wonder owns and operates every step of the dining experience, from recipe development to the technology that powers our experience, allowing us to deliver quality, variety, and consistency at scale. Join us as we work to make great food more accessible. About The Opportunity We’re looking for a Supply Chain Systems Engineer to join our team in building the 'brain' of Wonder’s supply chain system. You will work closely with Senior Software Engineers to develop the logic that translates sales forecasts into automated ordering plans for our distribution centers, fulfillment centers, production facilities and vendor orders. Our team works with stakeholders from all over the company to solve complicated problems with cutting-edge technology. This role is perfect for someone who loves the intersection of clean, production-ready code and complex mathematical modeling. You will help us simulate real-world constraints such as lead times and procurement strategies to ensure our high-density restaurants are always stocked and ready to serve. The Impact You Will Make * Develop & Implement: Write production-level code to deploy operation research models and algorithms that drive cross network fulfillment. * Simulation Modeling: Build and maintain simulation frameworks to stress-test procurement strategies against real-world uncertainty * System Configuration: Manage the technical logic for complex configurations including multi-location availability, on-order tracking, and delivery schedules. * Collaborate on Architecture: Work under the guidance of Senior Software Engineers to ensure all models are performant, scalable, and integrated into the core platform. * Data Translation: Partner with Product and Analytics to define data requirements, ensuring our models use the most accurate and "clean" signals from the supply chain. * Iterative Development: Follow a 'simple first' approach, delivering practical code that balances mathematical complexity with system reliability. * Engineered for Resilience: Design and implement highly available planning logic that maintains high uptime and data consistency, ensuring that DC and vendor ordering systems are mission-critical and failure-tolerant. * Performance at Scale: Optimize algorithm execution and data retrieval patterns to ensure the planning engine remains performant as we scale the number of locations, configurations, and sales volume. What You Bring To The Table * 5–8+ years of relevant experience in software engineering or systems modeling * MS or PhD in Computer Science, Operations Research, Industrial Engineering, Applied Math, or a related quantitative field * Demonstrated ability to model complex physical supply chain problems and iteratively build production-ready solutions * Mastery of Java, Kotlin, Python, or other related languages and SQL is required. Professional experience with at least one statically-typed, compiled language to ensure compatibility with high-performance backend systems is preferred. * Proven track record of deploying, scaling, and maintaining optimization or simulation solutions in a production environment with high uptime requirements * Experience building discrete-event or stochastic simulations to stress-test supply chain logic against real-world uncertainty * Strong grasp of modern software development lifecycles, including CI/CD, unit testing/integration testing, and version control (Git) * Ability to work under the guidance of Senior Engineering and Product leadership to translate complex business KPIs (cost, fill rate, waste) into technical solutions * Specific experience in e-commerce, food tech, or retail distribution centers (understanding "picking" logic and "vendor lead times") New York / New Jersey Base Salary: $208,500 - $216,500. Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience. Benefits We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed. A Final Note At Wonder, we build the best teams by hiring with an objective lens — evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know. We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.

Job Description Who We Are: At Ordergroove, our mission is to transform commerce by putting relationships, not transactions, at the center. We help leading brands create seamless subscription and membership experiences that turn one-time shoppers into lifelong customers. Founded in 2010, we are a remote-first company whose platform powers the world's most loved recurring experiences for brands like L'Oréal, GNC, and PetSmart. Our team of curious builders and bold problem solvers is united by one belief: meaningful relationships drive lasting growth. Join us and help shape the future of relationship commerce. About the Role: We're seeking a Senior Product Manager to own and evolve a critical part of our Relationship Commerce platform, one that sits at the intersection of ecommerce infrastructure, subscription intelligence, and applied AI. This role is ideal for someone who loves to solve complex problems, leads through clarity, and is energized by building products that scale across hundreds of brands while still feeling deeply customer-centric. As a Senior PM at Ordergroove, you'll shape product strategy for your area, partner with engineering and design to ship ambitious AI-powered experiences, and ensure we're building durable, extensible solutions that help brands move from transactional commerce to long-term customer relationships. You'll partner deeply with Engineering, Design, Data, GTM, and Customer teams to translate complex merchant needs into elegant platform solutions, balancing short-term wins with long-term growth and scale. This is a hands-on role for someone who can zoom out to think strategically and zoom in to sharpen execution and raise the bar for product quality and impact. What You Will Do: • Drive the Merchant Growth Roadmap – Own a critical slice of the product area at the heart of Ordergroove's value, defining how merchants get started, see value, and grow. You'll lead initiatives across onboarding, incentives, cancellations, and daily workflows, pairing strong execution with clear strategic thinking., • Ship AI-Powered Experiences – Help bring AI to life across merchant and subscriber experiences, agents that automate workflows, intelligence that surfaces the right action at the right moment, and personalization that drives measurable retention and growth. Treat AI as a core capability, not a feature bolt-on., • Apply an Experience-First Lens – Bring a strong UI/UX sensibility to merchant-facing workflows, working closely with Design and Engineering to deliver best-in-class self-service. You'll advocate for intuitive, opinionated product design that turns satisfied merchants into raving fans., • Operate as a Visible Product Owner – Be the Product voice for your area with meaningful exposure to senior leadership. You'll earn trust across Product, Engineering, GTM, and Operations, and contribute to shaping strategy, prioritization, and how Product shows up across the company., • Contribute to Product Strategy & Direction – Help define and communicate a clear product vision for your area aligned to company goals and customer needs. Translate strategy into focused roadmaps that emphasize outcomes over output and provide clarity across teams., • Drive Cross-Functional Alignment – Partner closely with Engineering, Design, Data, Operations, and Go-To-Market teams to align on priorities, trade-offs, and execution, ensuring solutions drive adoption, retention, and revenue., • Champion Customer-Led Decision Making – Ground product decisions in deep customer understanding, leveraging direct merchant engagement, research, and data to balance merchant needs with end-consumer impact., • Required, • 5+ years of product management experience with proven success in SaaS, ecommerce, or subscription businesses., • Track record of delivering measurable impact at scale on complex product surfaces., • Curiosity about and exposure to AI or ML-powered product experiences — interest in shipping agents, intelligent automation, personalization, or applied LLM features in production., • Strong customer empathy with experience leveraging qualitative and quantitative insights., • Excellent partnership, communication, and influencing skills across technical and non-technical stakeholders and teams., • Proven experience driving product decisions tied to business outcomes such as revenue growth, retention, expansion, or operational efficiency., • Comfort operating in ambiguous, fast-growing environments, bringing clarity, structure, and momentum where none exists., • Background in metrics, experimentation frameworks, and data-informed prioritization., • Experience with Agile product development practices., • Preferred, • Experience in ecommerce or subscription-based D2C brands. About Ordergroove: Ordergroove powers recurring revenue for the world's largest and most innovative retailers including Ulta, Dollar Shave Club, La Colombe Coffee, Bonafide Health, BarkBox, and more. As a direct result, more than 11% of adult Americans have a subscription powered by Ordergroove. Our technology makes seamless, one-of-a-kind subscriber and membership experiences possible to turn one-time transactions into profitable recurring customer relationships. Ordergroove's powerful platform empowers merchants with highly customizable options such as flexible promotions, bundling, and analytics to bolster their bottom line while making customers' lives easier. We recently achieved a milestone year with 152% year over year new business growth, and were rated best-in-class subscription technology by CB Insights and eCommerce Platform of the Year by RetailTech Breakthrough Awards. Our company values celebrate collaboration, different perspectives, and curiosity with the goal of getting to the right answer, no matter who came up with it. At Ordergroove we are committed to creating a welcoming and supportive environment for all people. We encourage people with different backgrounds and experiences to join our growing team so that we gain different perspectives and build the best team possible. We demand the best of ourselves and each other and never miss an opportunity to celebrate our successes. With a fully flexible work from anywhere culture, staying connected and supporting each other are always top of mind. We build our tight-knit community through small group events like trivia night, cooking classes, and book clubs. We encourage cross-functional relationships through virtual coffees and we stay close to the business through weekly team updates and quarterly all-hands meetings. At Ordergroove, we focus on flexibility and empowering our team to make the right decisions for themselves. We have flexible PTO and a totally remote (anywhere in the US) workforce, and an annual personal development budget that you use for what matters to you (wellness, career development, productivity at home, etc). And of course, that is on top of the basics like competitive compensation (including stock options) and incredible, affordable benefits. Come join our amazing team while we enable the fastest-growing segment of commerce that makes life easier for millions of consumers every day! At Ordergroove, we want to hire, develop and retain the best talent, making Ordergroove a top destination to grow your career. The pay transparency law is a way of narrowing the gender pay gap and fostering an engaged and positive working environment. It is also a way to share what we think is a reasonable, equitable and competitive compensation structure for the roles on our team. The total compensation range (base + annual bonus) for this role is starting at $180,000 + equity.

Job Description Join Capgemini as a Financial Services Digital Customer Experience Strategy Leader, where you will spearhead the transformation of the customer experience for leading financial institutions. You will be responsible for devising and executing innovative digital strategies that enhance customer engagement and satisfaction across multiple channels. Collaborating with cross-functional teams, you will leverage cutting-edge technologies and industry insights to deliver seamless, personalized customer journeys that drive business growth and loyalty. This role leads North America Financial Services’ Digital Customer Experience (DCX) technology strategy and major transformation deals. The leader owns large pursuit strategy end-to-end—shaping solutions, developing value narratives, estimating, differentiating competitively, and guiding cross-functional teams—while engaging C-suite stakeholders to deliver outcomes in growth, experience, and efficiency. Responsibilities include defining CX vision and maturity, designing journey transformations and operating models, and translating pain points into multi-year roadmaps. The role also sets enterprise CX technology strategy across CRM, marketing automation, case management, personalization, journey orchestration, and intelligent operations, ensuring scalable architectures and ROI. Finally, it drives thought leadership and partner ecosystem initiatives with key platforms and fintech/AI partners. Key Responsibilities: 1. Lead All Large Digital Customer Experience Deals • Serve as the executive deal lead for all large and strategic CX transformation pursuits across North America., • Own deal strategy, encompassing shaping, solutioning, storytelling, value articulation, estimation, and competitive differentiation., • Lead cross-functional pursuit teams (strategy, architecture, delivery, pricing, industry, partner ecosystem) to craft compelling proposals., • Engage directly with C-suite stakeholders to define outcomes tied to revenue growth, customer experience improvement, and operational efficiency., • Act as the primary executive representative and brand ambassador for all major DCX transformations. 2. Customer Experience Strategy and Consulting • Lead CX visioning, maturity assessments, journey transformation strategies, and future state operating model design., • Advise financial services leaders on unifying sales, service, marketing, and operations with modern digital, cloud, data, and AI platforms., • Translate customer pain points into multi-year, multi-platform transformation roadmaps. 3. Enterprise CX Technology Strategy • Define and articulate the overarching technology strategy for digital CX initiatives within the financial services industry, aligning with business objectives and customer-centric goals., • Develop enterprise technology solution strategies for CRM, marketing automation, case management, personalization, journey orchestration, and intelligent operations., • Work closely with solution architects to ensure that technology solutions across various stacks are cohesive, scalable, and effectively address customer needs and business requirements., • Guide clients on platform selection, modernization, integration, and maximizing ROI. 4. Customer-centric program planning • Focus intensely on customer goals, developing comprehensive program plans that drive measurable outcomes and enhance the overall customer experience., • Build program plans, value frameworks, governance structures, and executive reporting models for large-scale CX transformations. 5. Market and Thought Leadership • Create compelling thought leadership on the future of CX, AI-driven servicing, personalized banking, and connected customer journeys., • Present at industry forums and executive briefings, shaping brand perception in the market., • Develop frameworks, accelerators, and methodologies that differentiate our CX practice. 6. Partner Ecosystem Leadership • Leverage strategic relationships with Salesforce, Microsoft, Adobe, Pega, and key fintech/AI partners., • Shape co-innovation initiatives and joint go-to-market (GTM) strategies., • Stay ahead of platform roadmaps, competitive dynamics, and new capabilities. Requirements Required Qualifications: Education • Bachelor’s degree (required): Computer Science, Information Systems, Engineering, Business, Finance, Marketing, or a related field., • Master’s degree (strongly preferred): MBA (strategy/finance/marketing), MS in Information Systems / Computer Science / Data & Analytics, or similar., • Executive education (nice to have): Customer Experience leadership, digital transformation, or financial services leadership programs., • 20+ years leading digital transformation programs in CX, CRM, customer service, marketing, or customer operations., • Proven track record leading large, multi-million-dollar technology-enabled CX deals from qualification through close., • Deep familiarity with enterprise CX stacks including Salesforce, Microsoft Dynamics 365, Adobe Experience Cloud, and Pega., • Executive-level presence and consultative influence., • Ability to build and defend multi-year CX transformation strategies and business cases., • Strong understanding of:, • CRM and sales transformation, • Contact center modernization, • Marketing automation, • Customer data platforms (CDPs), analytics, and AI, • Workflow automation and customer operations, • Experience in top-tier consulting or system integration firms. This position comes with competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Home Office model, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally known group, • Private Health Insurance, • Retirement Benefits, • Paid Time Off, • Training & Development, • *Note: Benefits differ based on employee level About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2024.

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 Security Products organization at CoreWeave builds the identity, encryption, and self-managed security integrations that protect AI workloads and data across our cloud platform. If you are passionate about building foundational security primitives that enable enterprises and the top AI labs in the world to deploy regulated and security‑sensitive workloads at extreme scale, this is the team to join! About the role CoreWeave is seeking a Staff or Principal Engineer for our Security Products team to lead the technical direction and implementation of encryption and key lifecycle management In this role, you'll design and evolve the key lifecycle management, encryption control planes, algorithm/library selection, and systems integrations that allow CoreWeave customers to deploy sensitive, high security AI workloads and data. You'll partner closely with teams across CoreWeave to develop customer-driven cryptography technology. Your day‑to‑day will blend hands‑on system design and coding with cross‑team technical leadership, design reviews, and roadmap shaping for Security Products. In this role, you will: • Lead the design and evolution of encryption and key lifecycle management products., • Manage encryption and cryptography technology development for services within our Cloud Platform, particularly those for high security and highly regulated customers., • Design and build deep integrations between our Cloud Platform and external key sources (eg, HashiCorp Vault, AWS KMS, HSMs)., • Collaborate with other product engineering teams to support the safe use of multicloud key management technology., • Partner with IAM to define unified authorization patterns and policy models for key management APIs with consistent semantics across the resource hierarchy., • Establish SLIs / SLOs for Remote Key Encryption (RKE) and related services, including availability, latency, and durability guarantees for key retrieval and encryption operations., • Partner with the Security Engineering team on threat modeling and corporate strategy to enable the most sensitive AI workloads in the world to be deployed on CoreWeave's infrastructure., • 8+ years of experience building and operating distributed backend systems in production, including ownership of reliability and security outcomes for critical services., • Deep experience with encryption at rest and key management systems, including envelope encryption patterns, key hierarchies and secure key lifecycle management., • Hands-on experience integrating with at least one major KMS or secrets manager (e.g., AWS KMS, HashiCorp Vault, Azure Key Vault, GCP KMS, HSMs), including designing APIs and workflows around those systems., • Strong proficiency in a systems programming language such as Go (preferred) or Rust, with experience building networked services (gRPC / REST) in a Linux / Kubernetes environment., • Solid understanding of applied cryptography concepts relevant to data‑at‑rest protection (AES‑GCM/CTR, key wrapping, KDFs, randomness requirements, envelope encryption, and key separation) with the ability to reason about threat models and failure modes with Security partners., • Experience designing and operating multi‑tenant services with strong isolation and authorization semantics across customers and internal tenants., • Demonstrated track record of leading cross‑team technical initiatives, driving projects from problem statement through rollout, alignment, and operational readiness., • Strong operational experience defining SLIs / SLOs, building dashboards and alerts, and partnering with SRE / Production Engineering on incident response and post‑incident improvement., • Prior experience designing or implementing remote or externalized key management for cloud storage, databases, or filesystems (e.g., BYOK/BYOKMS, customer‑managed keys, envelope encryption for S3‑like object storage)., • Experience with hardware‑backed key management (HSMs) and cryptographic compliance regimes (FIPS 140‑2/3, PCI, HIPAA, FedRAMP Moderate+, or similar) and how they shape system design., • Familiarity with IAM policy models (RBAC / ABAC, OpenFGA, OPA/Rego, etc.) and how to integrate fine‑grained authorization into security‑sensitive APIs., • Experience extending encryption and key management across multiple storage domains (object storage, block/file storage, databases, control plane state like etcd) in a coherent way., • Background working in security‑sensitive or regulated environments where auditability, segregation of duties, and key custody requirements are critical., • Contributions to open source cryptography, security tooling, or KMS/client libraries. We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You care deeply about getting the cryptographic and operational details right, and you're comfortable saying "no" to shortcuts that weaken security or key custody guarantees., • You're excited by the challenge of building foundational security primitives that other product teams and large enterprises will build on for years., • You enjoy working at the intersection between Platform, Storage, IAM, and Security Engineering, and you can translate between those domains without losing the plot., • You're skilled at turning complex requirements for highly regulated customers into simple, reliable, well‑documented APIs and workflows., • You're comfortable operating in a fast‑moving environment, iterating quickly while still holding a high bar for design review, testing, and safe rollout of security‑sensitive changes. The base salary range for this role is $206,000 to $303,000. 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 DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who we're seekingYou are a driven, organized team-player with a passion to solve complex technology problems. You seek to join a team with the tools to accelerate your career as you develop, build, and implement technology strategies and solutions, while coaching more junior team members and building deep industry & client relationships along the way. What you'll do • Lead project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment, • Oversee cross-functional delivery teams, managing scope, budget, and timelines, • Partner with executive clients to design strategic roadmaps, • Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations, • Develop high-performing teams, mentoring talent, and fostering a collaborative culture, • Proactively identify risks and issues, and provide mitigation strategies, • Maintain strong client relationships while identifying opportunities beyond your current engagement, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat you'll bring, • 10+ years of project management experience, • 4-6 years+ of experience managing SDLC/system implementation-based projects, • Experience managing high-performing project teams, PMOs, and process optimization initiatives, • Experience managing teams through client-facing activities such as requirements gathering, stakeholder workshops, and deliverable review/approval sessions, • Experience leading and contributing to business development, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related fieldsPreferred Experience, • Media and/or Entertainment industry experience highly preferred, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)Travel RequirementsEmployees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region. Remote & Hybrid WorkWhile remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive. Life at QvestWe were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel." Equal Employment OpportunityQvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

Job DescriptionAbout Amigo Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more. We're fresh off our Series A backed by Tier 1 investors like Madrona, General Catalyst, and Optum Ventures. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters and are on track to 10x this year. About this role The Applied AI Engineer role at Amigo is a launchpad. You'll ship production AI agents end-to-end — writing the code, shaping product decisions, and sitting with customers as they deploy — and in doing so, you'll build the exact skill set that opens doors to the next chapter of your career at Amigo. This role is designed to help you grow into other parts of the company. Applied AI Engineers move into one of four paths within 6–12 months: * Applied AI: stay in the org; go deeper on agent architecture, verification frameworks, and the hardest customer problems; become a technical leader on the applied team * Product Management: if you gravitate toward roadmap, discovery, and shaping what we build next * Sales Engineering: if you thrive in pre-sales, technical storytelling, and closing enterprise deals * Software Engineering: if you want to go deeper on platform, infrastructure, and core systems You won't have to guess which fits. This role will actively help you explore each path, give you projects that stretch in those directions, and sponsor the internal transition when you're ready. People who want to stay on the applied side long-term can do that too — but this role is explicitly built so you don't have to. What you'll do * Implement context graphs that enable agents to select the right reasoning mode (lookup, pattern recognition, exploration) based on problem complexity * Build and optimize agent configurations, including static personas, dynamic behaviors, and functional memory systems * Design bounded Operational Patient Domains (OPDs) with explicit inclusions, exclusions, capabilities, and escalation rules * Implement verification loops and simulation-based testing to validate agent performance against customer KPIs * Write Python code for tool integrations and API orchestration within customer environments * Build evaluation suites that gate deployments using customer-specific success metrics * Collaborate with domain experts through structured interviews to capture reasoning patterns and clinical protocols * Support technical power users through git-based workflows for rapid iteration * Implement adversarial testing to systematically identify and prevent failure modes * Ensure agents maintain audit-ready provenance with version pinning and evidence links * Contribute to systematizing implementation patterns across different problem domains What we're looking for * 2+ years of production software engineering experience * Strong Python skills including proper use of typing, and experience building highly reliable systems that interact with external APIs (schema design, retry strategies, error propagation) * Experience with LLMs, prompt engineering, and building on AI platforms * Ability to implement systems with strict reliability requirements * Understanding of testing and verification methodologies * Experience working directly with customers or stakeholders to deliver technical solutions * Familiarity with git workflows and collaborative development * Strong debugging and problem-solving skills for complex systems * Ability to balance theoretical concepts with practical implementation constraints * Clear technical communication for both engineering and non-technical audiences Nice to have * Experience in regulated industries (healthcare, finance, legal) * Background with simulation, synthetic data, or evaluation frameworks * Understanding of distributed systems and service-oriented architectures * Experience with observability and monitoring in production environments * Familiarity with compliance requirements (HIPAA, SOC 2, GDPR) Benefits (available to Full-Time Employees) Health & Wellness * Comprehensive health, dental, and vision insurance * Daily catered lunch and dinner * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Annual team offsite * Academic collaboration opportunities * Unlimited PTO Our Core Values * Patients Win, We Win If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it. * High Standards, High Care We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them. * Thoughtful Urgency We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both. * Intensely Measured We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it. Who Builds With Us * Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them. * Direct: You say the hard thing, challenge ideas openly, and commit fully once decided. * High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don’t file tickets and wait for someone else. * Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same. * Skeptical: You push back on rules that don’t make sense and question assumptions that haven’t earned their place. Compensation Range: $130K - $160K

Job Description VTS is looking for an intelligent, self-motivated sales professional to join our team as an Account Executive in our New York office. Our Account Executives are hard working, coachable, curious, adaptable and take a process-oriented approach to closing new business on a quarterly basis. If this describes you and being at the forefront of innovation in the world's second largest asset class, then we want you on our team! As an Account Executive at VTS, you'll lead net-new customer acquisition across strategic, high-value accounts. This role is designed for a consultative seller who thrives in complex sales cycles, can operate at the executive level, and consistently closes large, multi-year deals. You will own the full sales lifecycle—from prospecting and discovery through negotiation and close—while partnering closely with Sales Development, Solutions Engineering, Product, and Leadership To thrive in this role you must be driven, and possess an eagerness to learn. A high level of accountability towards a quality work product. You value collaboration, engaging cross-functional partners to solve challenges to ensure the best strategy is applied to the client. You should possess a natural curiosity and desire to understand the business, customer insights, and real estate industry. Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 4 days a week. What Makes This Job Awesome? • Help bring Commercial Real Estate into the 21st Century - map customer's key issues to our solution, • Become an expert on the VTS product suite and value proposition (focus on driving tenant experience outcomes on an asset level through VTS RIse), • Present to C-level executives on the value of the VTS solution through product demonstrations in person and via web tools, • Represent VTS and evangelize our vision through in-market events, industry groups, and CRE specific initiatives, • Prospect, nurture, and close new business, • Accurately forecast and execute on quarterly revenue targets, • Negotiate pricing and sales contracts to close new business while navigating multiple decision makers, • Work closely with sales, account management, and customer support teams to ensure our customers are successful, • 3-5+ years of B2B sales experience with a strong focus on net-new enterprise sales, • Proven track record of closing complex deals (typically $50K-$500K+ ACV), • Experience selling to senior executives (VP, SVP, C-suite), • Strong discovery, negotiation, and deal-strategy skills, • Ability to operate independently and manage long, consultative sales cycles, • Experience in SaaS, Property technology, or data-driven solutions, • Strive for Excellence - We know your potential is unlimited. Take advantage of our executive coaches and our training and career development programs available to all employees!, • Be Customer Obsessed - We're employee obsessed too! VTS offers competitive compensation, comprehensive health benefits (including dental and vision), pre-tax commuter benefits, and a 401(k) plan. Not to mention the fun stuff - quarterly happy hours, wellness events, clubs, and team lunches!, • Be Curious - Benefit from a culture that promotes new learning. VTS offers an education stipend to all employees!, • Move as One - We work in an open floor plan to promote cross-functional collaboration., • Take Ownership - Be an owner of the company you're building with our equity packages., • Appreciate the Difference - VTS embraces and celebrates diversity. We understand the importance of a strong work-life balance. We offer a flexible PTO policy, generous family leave program, and more! ABOUT VTS VTS is the only AI-driven technology platform enabling intelligent real estate by unifying industry professionals, investors, and their customers at scale. In 2013, VTS revolutionized commercial real estate leasing operations with what is now VTS Lease. Today, VTS AI is the largest first-party insights and collaboration engine in the industry, transforming how strategic decisions are made and executed by the real estate industry globally. 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 $110,000 - $130,000 and is determined by several factors, including your skills, prior relevant experience, quality of interviews, leveling, and geography. There is a commission structure for the position that will bring the OTE (on target earnings) to $270,000 - $290,000 depending on the base salary agreed upon and achievement to goals. EEO Guidelines VTS 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 You'll Do: The Security Foundations organization at CoreWeave keeps CoreWeave Cloud secure by design, from data centers and GPU fleets to the platform layers powering our customers' AI workloads. The PKI & Secrets team owns the cryptographic infrastructure underpinning the confidentiality, integrity, and authenticity of CoreWeave's data and systems: PKI, secrets management, HSMs, key management, and code signing. We partner with teams across the company to deliver cryptographic services that are secure, reliable, and easy to use at scale. About the Role: As a Senior Security Engineer on the PKI & Secrets team, you will shape how CoreWeave manages cryptographic infrastructure across its global fleet. You'll design and operate PKI hierarchies, secrets management platforms, HSM infrastructure, and key management systems; working hands-on with engineering teams to integrate these capabilities into their services and workflows. In this role, you will: • Contribute to the design, implementation, and operation of CoreWeave's PKI infrastructure, including CA hierarchies, issuance policies, certificate lifecycle management, and trust distribution across Kubernetes clusters and bare-metal hosts., • Manage and evolve secrets management platforms, including access policies, secret lifecycle governance, and integration patterns using External Secrets Operator and cert-manager., • Operate and scale HSM infrastructure, including PKCS#11 integration, key ceremony procedures, and high-availability designs backing our certificate authorities and signing services., • Contribute to the design of key management and data encryption solutions for internal and customer-facing use cases, including envelope encryption and KMS API design., • Deliver PKI-based solutions supporting workload identity, mutual TLS, and hardware attestation., • Maintain and extend code signing infrastructure for firmware images, UEFI binaries, container images, and application binaries., • Develop and enforce cryptographic best practices and policies, and contribute to post-quantum cryptography readiness.Who You Are:, • (5)+ years of experience in security engineering or infrastructure engineering., • Strong understanding of PKI concepts including CA hierarchies, certificate profiles, issuance policies, revocation, and trust distribution., • Hands-on experience operating HashiCorp Vault or similar secrets management platforms in production., • Experience with hardware security modules (HSMs), PKCS#11 interfaces, and key ceremony procedures., • Solid understanding of applied cryptography: symmetric and asymmetric algorithms, digital signatures, envelope encryption, and TLS., • Proficiency in Go, Python, or similar languages, with the ability to build production tooling and automation., • Experience with Kubernetes, including cert-manager, trust-manager, or External Secrets Operator., • Demonstrated ability to drive cross-functional initiatives across infrastructure, platform, and product teams.Preferred, • Experience operating PKI backed by HSMs in a cloud provider or hyperscaler environment., • Familiarity with code signing workflows (Authenticode, Cosign/Sigstore, transparency logs, timestamping)., • Experience with KMS design, including customer-managed keys and multi-tenant key isolation., • Understanding of hardware attestation and workload identity (TPM, SPDM, SPIFFE/SPIRE)., • You think deeply about how trust is established in complex distributed systems — and you enjoy making that infrastructure invisible to the teams that depend on it., • You're comfortable operating at multiple levels of abstraction, from HSM key ceremonies to Kubernetes operator design and developer experience., • 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 DescriptionStrength in Trust OneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down—it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge Data Platform Engineer will be part of an innovative Enterprise data team that enables Marketing, Product, Sales, and Finance to explore data and take actions that differentiate us from our competition. You will work closely with data engineers, data architects, domain experts and business analysts to understand business requirements and help to build best in class data platform solutions and architecture for scale. Your Mission • You will work closely with data engineers, data architects, domain experts and business analysts to understand business requirements and help to build best in class data platform solutions and architecture for scale., • Build and automate modern data platforms (AWS, AZURE, Snowflake) with native technologies, deploy applications, and provision of infrastructure., • Perform Administration, Maintenance and provide support to production systems (Snowflake, Fivetran, DBT, Power BI, Airflow), • Build and maintain CI/CD pipelines and infrastructure as code (IaC) practice across the platform for safe and reproducible deployments., • Design, build and implement automation framework for scale that deliver data with measurable quality under the SLA, • Drive technical conversations with stakeholders to understand the platform's needs and come up with a provisioning strategy., • Work effectively using scrum with multiple team members to deliver value effectively. Your Experience Includes • Bachelor's or master's degree in computer science, Engineering or related field, • 3+ years of overall experience and 3+ years of experience with very large-scale data warehouse projects., • Strong experience in SQL, knowledge of dimensional modeling, supporting data warehouse, scaling, optimizing and performance tuning ETL pipelines, • 1+ years of experience with Python and manipulation of various data formats for extraction and transformation, • 1+ years of experience with Snowflake, Airflow, ETL/Integration tools administration., • Hands-on experience with Data Warehouse technologies (Snowflake, Redshift) and Big Data technologies (Hadoop, Hive, Spark, Kafka, Kinesis), • Experience evaluating new tools and enriching existing architecture, • You are a self-starter, hands-on technical expert who continuously gather and synthesize high-impact needs from business partners, design and implement the appropriate technical platform solution, and effectively communicate about deliverables, timelines and tradeoffs For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits. Salary Range$81,150—$121,725 USDWhere we Work We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person. Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview. Benefits As an employee at OneTrust, you will be part of the OneTeam. That means you'll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers. Resources Check out the following to learn more about OneTrust and its people: • OneTrust Careers on YouTube Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address. For more information or if you have been targeted please reach out to . Our Commitment to You When you join OneTrust you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career. OneTrust 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 local laws.

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: Expert Engineer Type: Contract Compensation: $35–$75/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author original engineering questions that test deep conceptual understanding. Ensure questions are unambiguous, self-contained, and precisely defined., • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)., • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers., • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format., • Supply 1–5 academic references per question from reputable sources such as peer-reviewed journals and university repositories. Must-Have • PhD or doctoral candidate in Engineering or a closely related field., • Master's degree considered for candidates with exceptional depth in a specific subdomain., • Strong command of graduate-level engineering principles, applied mathematics, and domain-specific standards., • Professional engineering licensure (PE) or industry experience is a strong plus., • Upload resume, • AI interview based on your resume

Job Description Position Summary A client of AlphaStaffHCM is seeking an experienced Photonic Integrated Circuit (PIC) Test Engineer to test, evaluate and analyze the photonic devices for market and internal quantum applications. This role will collaborate closely with the PIC design and fabrication team to iterate and optimize out internal PDK, customized devices. The test work should be summarized to debug with design team and fabrication team. Key Responsibilities Testing & Characterization • Oversee optical and electrical characterization of fabricated PICs, analyzing performance against design targets., • Identify and implement design or process improvements based on test data., • Develop automated test procedures where applicable., • Collaborate with the fabrication team to estimate the fabrication robustness of the PDK and customized design., • Collaborate with the design team to analyze each fab run and iterate for next run. Required Qualifications • Ph.D. or master’s degree in electrical engineering, Applied Physics, Photonics, or related field., • 3+ years of hands-on experience in PIC test on fiber optics and free space optics, and wafer level testing, • 1+ years of experience with high-speed EOM Characterization with VNA/LCA., • Programming skills for data analysis and automation (Python, MATLAB)., • Strong knowledge of waveguide theory, coupling mechanisms, electrical and photonic device physics. Preferred Qualifications • Experience in quantum and nonlinear photonic systems or related applications., • Experience in packaged hybrid photonic/electronic chip test., • Experience in yield estimation and defect analysis., • Experience in lab equipment remote control and automated test. Key Attributes • Strong communication skills and the ability to influence across teams., • Passion for innovation and pushing the limits of photonic technology. 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 DescriptionFounding AI Engineer (Fintech/LLM) Location: New York City, NY (Hybrid, 4 days onsite) Role Overview Founding AI Engineer role owning the end-to-end design, development, and scaling of LLM-powered product features within a high-growth fintech platform. This position directly impacts core product intelligence and user experience through applied AI systems in production. Responsibilities • Own and ship AI features end-to-end from concept to production across full-stack systems, • Design and build LLM-powered product features used by large-scale active user base, • Architect and maintain AI systems including prompt orchestration, memory, and contextual personalization, • Develop retrieval systems leveraging embeddings, RAG pipelines, and financial data grounding, • Build evaluation frameworks to measure model quality, reasoning accuracy, and safety, • Optimize model performance, latency, and cost efficiency in production environments, • Implement guardrails and compliance controls for AI systems in regulated financial contexts, • Collaborate directly with founders and cross-functional teams to iterate quickly on product featuresRequirements, • 3+ years of production software engineering experience or exceptional new graduate, • Hands-on experience shipping LLM-powered applications in production, • Experience with RAG systems, embeddings, or retrieval architectures, • Strong backend engineering fundamentals and system design experience, • Ability to own systems end-to-end and operate independently

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture. What you'll do • Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas, • Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code, • Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices, • Manage and optimize DAGs, including troubleshooting task failures and improving run times, • Implement metadata management, data lineage, and security principles such as least-privilege access, • Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow, • Partner with engineering, data science, and business stakeholders to own project scopes, • Mentor others on data best practices to drive impact through your data vision, • Provide architectural guidance to ensure data is accessible and actionable across the company, • Drive technical excellence within the data engineering and analytics domainWhat we're looking for, • 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake, • 3+ years of experience with dbt, • Owned large-scale data projects that drove significant impact through effective cross-functional partnering, • Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights, • Expert at SQL, window functions, and query optimization for complex data manipulations, • Applied performance best practices, including partitions, sort keys, and incremental modeling, • Designed systems using test-driven approaches to ensure data quality and flow integrity, • Familiarity with ELT processes and tools to prepare and clean data for analysis, • Skill in using tools like dbt to build data transformation pipelines, • Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practicesWhile not required, these are a plus: When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time.Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives. Our commitment to continually improving our products and processes proactively manages risks, ensuring ongoing compliance throughout the entire software lifecycle. Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives. About the Opportunity We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals. You will also engage in high-impact research collaborations with world-renowned academic and medical institutions. Responsibilities • Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications., • Conduct rigorous analysis and validation of machine learning algorithms and prototypes., • Explore novel methods for processing and analyzing large, complex medical imaging datasets., • Collaborate with engineering teams to deploy ML algorithms in clinical practice., • Present research findings, insights, and recommendations to internal stakeholders and external collaborators., • Author scientific publications and contribute to patent development., • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ years of relevant experience., • Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning., • Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection., • Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis)., • Proficiency in Python, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results., • Ability to translate complex clinical requirements into machine learning solutions., • Strong critical thinking, problem-solving, and project management skills., • 2+ years of postdoctoral research or industry experience., • Hands-on experience in developing and applying advanced deep learning models, including vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques., • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Base Salary: $186,000 - $212,000 Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who we’re seeking As a Senior Broadcast Design Engineer at Qvest, you’ll take the lead in designing and deploying advanced media and broadcast systems for clients in the Broadcast industry. You’ll turn complex requirements into scalable solutions while managing system architecture, documentation, and integration across on-prem, cloud, and hybrid environments. In this role, you’ll collaborate closely with cross-functional teams and clients, configure and commission subsystems, and provide training and technical support. Your expertise in media workflows, broadcast technology, networking, and project execution will be key to delivering high-performance systems from concept to completion.What you'll do • Lead complex broadcast and media infrastructure projects by collaborating with clients and internal teams to define system requirements, budgets, timelines, and project goals, • Design and implement comprehensive media technology solutions—including new facility builds and existing facility upgrades to the latest broadcast technologies., • Create and manage detailed design documentation, including system schematics, functional descriptions, rack elevations, wiring diagrams, BOMs, and as-built drawings in alignment with engineering standards, • Oversee the configuration, testing, and commissioning of broadcast and IT subsystems (e.g., SAN/NAS/cloud storage, compute, network infrastructure) to ensure high performance, reliability, and scalability, • Serve as a technical expert and escalation point, negotiating changes to deliverables and guiding clients through scope clarifications and system optimization decisions, • Work closely with cross-functional teams to ensure seamless execution, accurate reporting, and successful delivery of broadcast solutions, • Support build-phase activities, coordinate with architects, MEP and construction resources to support the build out of facilities, • Provide regular project status updates, track engineering tasks, and contribute to resource planning across multiple concurrent projects, • Continuously expand technical expertise through industry certifications, vendor training, and self-guided learning, • Mentor junior engineersWhat you’ll bring, • 12+ years of experience in leading M&E technical systems in client-facing roles such as pre-sales engineering, consulting, or managed services, • Experience at a large broadcasting media company and/or broadcast systems integrator acting as an Engineer In-charge, Lead Engineer or Design Engineer, • Deep knowledge of industry-standard video formats (HD, UHD, HDR) and IP-based video transport methods, including SDI, NDI and SMPTE 2110 standards, • Broad range of product knowledge and hands on experience with products spanning networking, routing , switching, PCR, Studio, MCR, Audio, Shading, CER, Ingest etc., • Hands-on experience with products from vendors like Cisco, Evertz, Arista, Ross, Imagine GVG, EVS, VizRT, Harmonic, Chyron, Crispin, Telestream etc., • Solid understanding of end-to-end media production workflows, including ingest, editing, finishing, delivery, and archiving processes, • Hands-on experience designing and integrating professional broadcast and AV technologies, • Deep knowledge of broadcast networking principles, Spine/Leaf, Monolithic, Hybrid, and design including functions including routing, switching, VLANs, QoS, DNS, and access control lists (ACLs), • Strong familiarity with broadcast industry tools, systems, and infrastructure commonly used in media and entertainment environments, • Clear grasp of media engineering project phases—from presales and planning through design, documentation, integration, and commissioning, • Ability to read and interpret architectural and construction drawings and specs, with a general understanding of the construction process, • Organized approach to data handling, with some experience in data visualization, dashboard creation, or integration diagramming, • Familiarity with virtualization technologies and cloud-based compute and storage solutions, • Proven ability to see engineering projects through from concept to completion, • Excellent problem-solving and technical troubleshooting capabilities, • Understanding of broadcast orchestration platforms and resource management tools, • Strong working knowledge of Windows, Mac, and Linux workstations and serversPreferred, • Experience in various operational workflows (Live Production, Studio Production, News, Playout, Distribution, OTT, VOD), • Understanding of Next Gen ATSC 3.0 transmission standard

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in engineering, academic assessment design, technical question authoring, applied mathematics, solution verification, and structured engineering content review. This role supports current and upcoming remote consulting opportunities focused on high-quality engineering assessment development, multiple-choice question writing, academic content verification, reference solution review, and rigorous technical reasoning evaluation. Selected professionals will apply their engineering expertise to author, review, and validate challenging assessment materials across core engineering domains. Key Responsibilities Professionals in this role may contribute to: Engineering Question Authoring • Create original, challenging multiple-choice questions across core engineering domains, • Design questions that test deep conceptual understanding, applied reasoning, technical judgment, and engineering problem-solving, • Ensure each question is precise, self-contained, unambiguous, and answerable based on the information provided, • Write clear reference solutions in structured markdown format, • Rate question difficulty across levels such as introductory undergraduate, advanced undergraduate, or postgraduate-level expertise, • Provide academic references from reputable sources such as peer-reviewed journals, university materials, or recognized technical resources, • Review pre-written engineering questions for accuracy, clarity, rigor, completeness, and solvability, • Flag issues involving ambiguity, missing assumptions, weak distractors, unclear wording, or incorrect answer logic, • Edit questions where needed and document the rationale for changes Strong candidates may have: • Advanced expertise in mechanical engineering, thermal engineering, electrical engineering, aerospace engineering, materials science, industrial engineering, systems engineering, civil engineering, or related engineering fields, • Strong command of graduate-level engineering principles, applied mathematics, modeling, and domain-specific technical standards, • Experience authoring, reviewing, teaching, grading, or verifying academic assessment content, • Ability to express complex engineering ideas clearly and concisely in written English, • Strong attention to detail and ability to identify subtle technical or conceptual issues, • PhD or doctoral candidacy in engineering or a closely related technical field is highly relevant, • Master's degree may be suitable for candidates with exceptional depth in a specific engineering subdomain, • Professional engineering licensure, industry engineering experience, research publications, university teaching experience, or academic assessment background, • Familiarity with mechanical and thermal systems, electrical systems, aerospace systems, materials science, civil infrastructure, industrial systems, or applied engineering design, • Experience preparing or reviewing exam questions, benchmark tasks, academic rubrics, reference solutions, or engineering problem sets, • Strong comfort with markdown formatting, technical notation, academic references, engineering terminology, and structured review workflows, • Apply advanced engineering expertise to structured remote project work, • Contribute to high-quality academic benchmark development, question authoring, solution review, and technical reasoning evaluation, • Work on flexible assignments aligned with your academic, research, or engineering background, • Use your technical judgment in a rigorous, detail-oriented review environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment of approximately 10+ hours per week depending on project availability, • Competitive rates between $50–$95 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. 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 DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: We are seeking highly motivated Computational Plasma Physicists to join our team, focusing on stellarator and fusion plasma physics simulations. The ideal candidate will possess a strong background in computational physics, with a particular emphasis on MHD stability in stellarators and stellarator optimization. You will work with minimal supervision, contributing to cutting-edge research and development in Thea Energy’s stellarator systems. Key Responsibilities: • Develop and implement algorithms for analyzing and improving stellarator configurations., • Conduct simulations and analysis of fusion plasma behavior in stellarators, using advanced computational models., • Collaborate with cross-disciplinary teams to refine designs and improve the performance of stellarator systems., • Perform data analysis, model validation, and provide insights into the physical mechanisms governing plasma behavior., • PhD in Plasma Physics, Computational Physics, Applied Physics, or a related field, or master’s degree in relevant field with 2+ years of experience., • Strong knowledge of computational plasma physics and numerical simulations., • Experience with stellarators is a plus., • Proficiency in programming languages commonly used in scientific computing (e.g., Python, Fortran, C++, or MATLAB)., • Excellent analytical, problem-solving, and communication skills. Preferred Skills: • Experience with any of the stellarator design, stability or transport codes such as DESC, STELLOPT, VMEC, TERPSICHORE, M3DC-1, GX, GENE-3D., • Understanding of optimized stellarator magnetic field generation and coil optimization techniques., • Experience in high-performance computing (HPC) environments. Personal Attributes: • Ability to work independently and manage projects with minimal supervision., • Strong attention to detail and a passion for advancing the field of fusion energy research., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Company Benefits:, • Salary range $120,000 - $140,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job Description Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and engineers. In this role, you will collaborate with scientists and researchers in various areas, including data analysis, compression, text processing, graph analysis, machine learning, information visualization, as well as others. Responsibilities: • Collaborate with scientists and researchers in various areas to develop state-of-the-art algorithms, software, and computer systems solutions to challenging problems., • Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory., • Engage with other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team., • Design technical solutions independently, participating as a member of a multidisciplinary team to analyze client requirements and designs, and implementing software and performing analyses to address these needs., • Bachelor’s degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience., • Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management., • Skilled in all phases of software development, including but not limited to feasibility requirements, design, implementation, integration, testing, and deployment., • Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms., • Ability to successfully handle multiple time-sensitive projects across several disciplines. We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. About the Role A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic AI, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. Responsibilities • Team Leadership: Lead a team of data scientists to develop innovative solutions to complex business problems. Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Collaboration: Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Strategic Assessment: Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Solution Design: Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communication: Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Pipeline Management: Responsible for developing, implementing, and managing end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability. Requirements for the Role, • Education: Bachelor's, Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • Experience: 6+ years of total experience in Data Science, Machine Learning & Generative AI., • Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments., • IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX, • Agentic AI Tools: Experience with LangGraph, Google ADK or similar., • Agentic Architectures : Experience with advanced RAG & multi-agent systems., • Programming: Strong programming skills in languages such as Python, R, C++, and SQL., • Frameworks: Hands-on experience with ML frameworks, such as PyTorch or TensorFlow. XDOyWllq0r

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in chemistry, analytical chemistry, laboratory experimentation, chemical data analysis, scientific reporting, and structured chemistry review. This role supports current and upcoming remote consulting opportunities focused on chemistry-related task development, scientific evaluation, analytical review, laboratory workflow assessment, chemical data interpretation, and high-quality project execution. Selected professionals will apply their chemistry expertise to review realistic scientific scenarios, evaluate technical outputs, prepare structured written feedback, and support accurate, evidence-based chemistry workflow tasks. Key Responsibilities Professionals in this role may contribute to: Chemistry Research & Technical Review • Review chemistry-related materials involving analytical chemistry, laboratory experimentation, chemical methods, and scientific reasoning, • Evaluate chemistry outputs against source materials, experimental context, methodology, and documented review criteria, • Support structured review of research summaries, technical explanations, lab-style workflows, chemical analyses, and scientific reports, • Review scenarios involving analytical techniques, experimental design, measurement workflows, sample handling, and data interpretation, • Evaluate chemical data outputs for accuracy, consistency, clarity, and alignment with scientific principles, • Support structured review of lab notes, analytical results, method descriptions, charts, calculations, and technical documentation, • Create or review tasks and deliverables based on real-world chemistry workflows, • Provide domain-specific feedback on scientific accuracy, reasoning quality, data interpretation, and technical communication, • Support evaluation workflows involving model outputs, chemical reasoning, research-style problem solving, and laboratory context Strong candidates may have: • Professional experience in chemistry, analytical chemistry, laboratory research, chemical analysis, applied science, quality control, or technical reporting, • Background in one or more areas such as analytical chemistry, organic chemistry, inorganic chemistry, physical chemistry, materials chemistry, biochemistry, or chemical data analysis, • Familiarity with workflows involving laboratory experimentation, analytical methods, scientific reporting, research documentation, and technical evaluation, • Comfort reading and preparing chemistry artifacts such as research summaries, lab notes, method descriptions, experimental results, data analyses, and technical reports, • Strong written communication skills, • A degree or professional background in chemistry, biochemistry, chemical engineering, materials science, pharmaceutical science, environmental chemistry, or a related scientific field is helpful, • Graduate-level research experience, laboratory experience, scientific publications, or applied technical work is highly relevant, • Experience with analytical chemistry techniques, laboratory experimentation, chemical data analysis, scientific modeling, technical writing, or research publication workflows, • Familiarity with chromatography, spectroscopy, titration, mass spectrometry, wet-lab methods, quality-control testing, or chemical instrumentation, • Experience preparing or reviewing technical reports, research summaries, analytical results, chemistry assessments, lab-style workflows, or scientific documentation, • Strong comfort with spreadsheets, statistical tools, Python, R, MATLAB, laboratory information systems, or domain-specific chemistry software, • Apply chemistry expertise to structured remote project work, • Contribute to high-quality scientific review, technical evaluation, chemical data analysis, and research workflow assessment, • Work on flexible assignments aligned with your chemistry or laboratory background, • Use your scientific judgment in a focused, evidence-based review environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $65–$95 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. 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: .