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ML Researcher Location: On-Site | New York City, NY (relocation assistance available) Why This Role Matters Join a stealth-mode, well-funded applied-AI lab that is building the first system engineered for super-human creativity. Their mission is to place “creative genius in the hands of everyone,” unlocking a new renaissance in design, film, storytelling, and yet-to-be-imagined art forms. As one of the first research hires, you will shape the technical vision, own company-moving research problems, and receive founder-level equity. What You’ll Do • Invent new learning algorithms that push generative models beyond pattern recognition into open-ended creative reasoning., • Train and scale multimodal models—text, image, video, and 3-D—on large GPU clusters, taking ideas from prototype to production., • Define creativity metrics and rigorous evaluation frameworks that capture originality, usefulness, and human resonance., • Collaborate with world-class artists & engineers to transform research breakthroughs into intuitive creator tools., • Publish, present, and influence the broader ML community while protecting proprietary innovation., • Shape research culture by mentoring peers and establishing best practices for first-principles exploration. What You’ll Bring • PhD in ML/AI, Computer Science, or a related field (exceptional MSc candidates considered)., • Multiple first-author papers at premier ML venues (NeurIPS, ICML, ICLR, AAAI) or equivalent demonstrable impact., • Deep command of probability, optimization, and modern deep-learning architectures., • Proven ability to originate novel methods—not just apply existing frameworks., • Passion for creative AI and the ambition to tackle “impossible” problems., • Readiness to relocate to NYC and thrive in an intense, high-ownership startup environment. Compensation & Benefits • Competitive base salary DOE, • Equity: founder-level equity., • Visa: O-1 / EB-1 sponsorship supported for outstanding researchers., • Compute: Dedicated multi-node GPU access for every researcher, with headroom to scale massive experiments., • Premium health coverage, flexible PTO, and resources tailored for rapid scientific discovery. About Blue Signal: Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46Gs4yS

Position: Agentic AI Researcher (Research x Systems | Autonomous Decision-Making) About the Firm We are a highly reputable mid-sized investment management firm applying advanced AI to improve how investment decisions are researched and executed. The focus is on building systems that operate effectively in noisy, dynamic, real-world environments. The Opportunity Most AI systems are built for static benchmarks and well-defined tasks. This role focuses on a harder problem: How do intelligent systems reason, adapt, and act when the environment is uncertain and constantly changing? You will work on agentic AI systems that extend human decision-making—not just automate workflows. What You’ll Do • Design and build agent-based systems capable of planning, iteration, and long-horizon reasoning, • Develop multi-agent architectures that collaborate across complex tasks, • Create evaluation frameworks where success is not clearly defined or immediately observable, • Bridge research and production, turning ideas into systems that operate reliably, • Experience at a senior/staff level in AI/ML or research, • Agentic AI expertise, • Expertise long running agentic tasks (multiple hours and days)., • Track record of leading ambiguous, high-impact projects, • Strength in both research and systems building, • Deep understanding of model behavior, limitations, and failure modes, • Define problems, not just execute on them, • Work on systems that must perform under real-world constraints, • See direct impact of your work on outcomes—not just metrics Competitive with senior/staff-level roles at leading technology companies, with performance-based upside.

The Mount Sinai Health System (MSHS) is one of the largest healthcare systems in the United States and is at the forefront of leveraging clinical excellence and cutting-edge technology to advance patient care, research, and innovation through data-driven insights. MSHS is home to Minerva, the world’s fastest supercomputer based in an academic medical center, and the Artificial Intelligence Ready Mount Sinai (AIR·MS) research platform. Both are part of a computational and data ecosystem that includes cohort query tools, AI agents, and thousands of applications. Several multi-modal data sources, such as electronic health record (EHR) data from our system-wide Epic instance, and millions of digital pathology slides are linked together and available for analytics, research, and quality improvement initiatives. AIR·MS serves as a key entry point and infrastructure for dozens of departments, groups, and institutes throughout MSHS. We are seeking an engaged physician informaticist with expertise in computation, data analytics, AI, and U.S. healthcare data. The Lead Physician Informaticist partners with researchers and clinicians to ensure effective use of AIR·MS and the broader data ecosystem. In this collaborative, clinically driven role, you will bridge clinical, operational, and research needs across MSHS. Responsibilities include engaging with stakeholders to understand needs, identifying barriers, developing roadmaps, and supporting the deployment of new AIR·MS capabilities. You will also help translate complex research questions into actionable data queries and develop Python/R scripts to generate insights from the OMOP CDM warehouse. Responsibilities: • Leads researcher and clinician engagement, including needs assessment, communication planning, roadmap development, and user experience optimization., • Partners 1:1 with clinicians, researchers, and analysts to refine questions and deliver tailored data solutions., • Communicates complex data concepts clearly across varying levels of expertise., • Designs, writes, and optimizes SQL queries and Python/R scripts against the OMOP CDM to extract and analyze clinical, revenue and research data., • Educates, trains and mentors users on EHR data structures, OMOP CDM concepts, data limitations, cohort definition, cohort query tools, analytical tools and best practices for self-service analytics., • Helps to support researchers to address various challenges associated with data use and analysis across the translational spectrum (T0 to T4)., • Oversees a user ticketing system and develops training sessions on health care data and data warehouses including the use of query tools and direct SQL., • Validates data outputs for accuracy, completeness, and appropriateness., • Identifies and communicates potential biases or limitations in EHR-derived data., • Collaborates with technical, clinical, and compliance teams to improve functionality, data quality, and governance., • Ensures compliance with regulations, institutional policies, and ethical standards in all data handling and dissemination., • Contributes to documentation, standard query libraries, and training materials to enhance organizational data literacy., • Has familiarity with modern artificial intelligence and machine-learning methodologies, including the use of supervised and unsupervised methods, large language models, and transformers., • May manage a small number of staff as required. Requirements: • Bachelors degree in a technical discipline; Masters degree preferred, • 12-15 years preferred of related experience, including 8 years of demonstrated ability in technology area (clinical informatics at a healthcare system and/or in biomedical research), • At least seven years of experience in clinical informatics at a healthcare system and/or in biomedical research., • Understands and has expertise in a broad spectrum of clinical data types, transformations, concept mappings, and standards (such as OMOP Common Data Model, SNOMED, ICD, RxNorm, LOINC, and ontologies) used at academic medical centers., • Demonstrated proficiency in SQL (including complex joins, stored procedures, window functions, and performance optimization) with experience querying large healthcare datasets, as well as using Python and R programming languages., • Understands how to perform quality assurance and quality control assessments of queries, data, and data warehouses., • Must have experience with HIPAA, Compliance and Cybersecurity requirements., • Strong understanding of EHR data, including clinical workflows, documentation practices, and common data quality issues in EHR derived data., • Familiarity with Epic Clarity and Caboodle data models is preferred., • Experience preferred with a variety of multi-modal data including but not limited to: Radiology DICOM tags, Pathology metadata, genomic/WES, return of genetic results., • Understands best practices for software development lifecycles., • Experience working with students, residents, fellows, staff, faculty, administrators with different levels of technological and medical expertise in a large academic medical system., • Effective communication and collaboration skills. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. Compensation The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

This job is with S&P Global, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.Please do not contact the recruiter directly.Kensho is S&P Global's hub for AI innovation and transformation.With expertise in machine learning, natural langua

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 hiring a Senior Product Manager to help redefine what customer understanding looks like in an AI-native world. You'll help us find the right problems, shape the right bets, and partner with engineering, research, and GTM to ship work that 50+ Fortune 1000 brands depend on. We're expanding our product surface area rapidly, which means whoever owns a surface has unusual leverage over what Knit becomes. You'll ship in two-week cycles alongside one of the strongest engineering benches you'll find at this stage – the kind of partnership that shortens the distance between idea and production in ways most PMs haven't experienced. You'll partner closely with our Director of Product, CTO, CEO, on-staff PhD-level Researchers, and Engineering Leads. This is a force multiplier role in a senior-heavy team. We expect your opinions to change what we build. Outcomes Success in this role is defined by sharper product decisions, stronger execution, and measurable customer and business impact on the surface you own. • Customer adoption of shipped work: Usage and adoption rates of new and materially updated capabilities within our target ICP., • Product velocity and roadmap reliability: Consistent shipping against outcome-driven commitments, with fewer mid-stream changes and clearer scope on what's in vs. out., • Customer and business impact: Expansion revenue, win rate, retention, and customer value creation attributable to your product work., • Cross-functional coherence: Engineering, Research, and GTM operating from one shared reality about what matters most, and why.Responsibilities | What you will own... Primary responsibilities of this role: Build Direct Customer Intuition Spend meaningful time with customers. Work alongside our PhD-level Researchers, but build your own direct understanding of how our users and buyers at Fortune 1000 brands actually think. Operate as a Force Multiplier Across R&D and GTM Drive clarity on tradeoffs, reduce mid-stream thrash, and keep Engineering, Research, and GTM aligned on what matters most. A successful candidate for this role (fill in short sentence here) Required: • 7+ years as a Product Manager, including meaningful time at a company known for strong product culture, where you learned what a great product org looks like from great leaders., • 0→1 experience. You've taken a product from zero to meaningful customer usage. Ideally, in an early-stage environment (seed/Series A), where you didn't have a full supporting cast to lean on., • AI-native fluency. You've shipped LLM-based features in production. You understand evals, hallucination management, latency/cost tradeoffs, and failure-mode design, even if you didn't write the eval code yourself. You use AI tools fluently in your own PM work to draft, prototype, research, and design, in order to increase your leverage. You have a real point of view on how the PM role is changing in an AI-native world., • Exceptional written and verbal communication. Clarity under compression is a baseline expectation., • Previous founder or first-PM experience at an early-stage startup, • 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 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:, • 8-12+ 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 $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 Description🏗️ The Role: Sales Development / GTM Less than 24 months since launch, we are adding 7 figures of ARR per month. We’ve built a world-class team of AI PhDs, engineers, and patent attorneys. Now, we need a high-energy, ambitious GTM specialist to build our outbound engine and help us scale to $1B+ ARR. What you’ll own: * Identify high-potential leads and strategic prospects within our target market. * Drive outbound activity through cold calling, emailing, and social media to hunt new business. * Deploy personalized, high-impact outreach campaigns to maximize lead conversion. * Sync closely with Account Executives to navigate prospect objections and leverage market trends. * Continuously refine outreach strategies based on real-time feedback and market response. * Track and report on critical metrics, including conversion rates, lead quality, and outreach velocity. * Partner with sales leadership to analyze data and optimize the playbook for scale. 💡 About Solve Intelligence We are the fastest-growing startup transforming Intellectual Property. Our AI-powered platform handles invention harvesting, patent generation, and portfolio management. * 20-30% MoM revenue growth. * 300+ IP teams globally, including Tier-1 firms like DLA Piper and major tech enterprises. * Users report 50-90% efficiency gains. Recently announced our $40M Series B (Total funding: $55M) from elite investors including Y Combinator, 20VC, and Visionaries. You’ll be joining a founding team with deep pedigree: * 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. To thrive here: * You prioritize speed, are always itching to move faster, and want to book meetings in hours, not weeks. * You have a relentless work ethic and take extreme ownership of your KPIs. You’re willing to go the extra mile to achieve the mission. * You thrive in a positive, high-stakes environment and are eager to learn whatever it takes to win. * You understand we are at the start of an exponential curve and want to drive mass adoption of state-of-the-art tools. 🛠️ What You Bring Must-Haves: * Experience in B2B sales with a history of smashing KPIs and securing high-value meetings. * Exceptionally clear written and verbal skills to engage sophisticated legal and technical prospects. * A love for the data and a willingness to "grind" alongside the founders. Preferred & Nice-to-Haves: * Experience selling complex SaaS products to mid-market or enterprise firms. * Frequent user of AI products with an understanding of the current LLM landscape. * Side projects, "hustles," or early-stage startup experience that shows you can build from zero. 🎁 What’s In It For You? * Competitive base + unlimited commission upside. * Meaningful ownership in a rocket ship. * Full visa sponsorship and private medical insurance. * Free meals and the chance to work with the smartest minds in AI. Ready to build the future of IP? Apply now. 🚀 Compensation Range: $90K - $130K

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. The Role We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems. Leveling is based on experience: • Staff Research Scientist: 7+ years of relevant experience, • Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities What We’re Looking For • A senior researcher who builds models, not dashboards, • A hands-on technologist who understands model architecture, training, and optimization, • Someone who can define strategy, lead initiatives, and still write production-quality code, • A strong independent problem solver comfortable with ambiguity and research-driven development, • A technical leader who can mentor others while delivering individually Key ResponsibilitiesResearch, Development & Implementation • Design, build, train, and deploy AI/ML and LLM-based models, • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment, • Apply strong understanding of ML and AI fundamentals to real-world biomedical problems, • Develop and optimize models using Python and modern ML frameworks, • Research emerging techniques and propose innovative solutions aligned with product and business needs Problem Solving & Strategy, • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches, • Evaluate and recommend technical solutions and system architectures, • Translate research concepts into scalable, production-ready systems, • Contribute to long-term ML and AI strategy and technical vision Leadership, • Lead cross-project research and development initiatives, • Provide technical mentorship and guidance to junior researchers and engineers, • Establish best practices for experimentation, model development, and deployment, • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

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 Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the role: As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together! In this role, you will: • Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on Kubernetes solutions within high-performance compute (HPC) environments, • Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements., • Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments., • Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise., • Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions., • Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture., • Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions., • Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders., • Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption., • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on scalable Kubernetes solutions, • Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions, • Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences, • Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL), • Code contributions to open-source inference frameworks, • Experience with scripting and automation related to Kubernetes clusters and workloads, • Experience with building solutions across multi-cloud environments, • You love to help solve challenging technical problems, • You're curious about the latest and greatest technologies in the AI space At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $220,000. 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 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 The Advanced Analytics Lead will be the primary driver of advanced market research methodologies at Knit - establishing best practices, working with researchers to execute on projects, and working closely with our Product and AI Engineering teams as we build capability into our offer. This new role will be pivotal to the success of Knit through increasing the value and caliber of our research offer. Responsibilities | What you will own... The research function is a primary contributor to Knit's shared business objectives of customer retention and upsells, ultimately measured by Net Revenue Retention (NRR) in addition to supporting the successful acquisition of new business. The levers Advanced Analytics Lead owns to influence these business metrics are: • Successful execution of market research advanced analytics methodologies on client projects, leading to increased project value and client renewals, • Designing advanced analytics workflows and working with Product & Engineering to implement in the Knit platform, • Establishing best practices and standards for the application of advanced analytics techniques at Knit., • Working with Researchers to design and deliver advanced analytics for client's market research projects, • Recommending market research methodologies and designing studies, • Interfacing with clients to develop new business and communicate insights, • Guiding questionnaire development for advanced analytics applications, • Guiding sampling methodology, • Analyzing data, • Executing advanced statistical modeling, • Data visualization Required Skills & Experiences, • 10+ years of experience in a market research agency or consulting environment in roles primarily focused on advanced analytics and methodologies, ideally delivering these solutions for enterprise and Fortune 500 clients., • Must have: Expertise in market research methodologies (concept testing, A&U, segmentation studies, brand positioning / tracking studies, creative testing, pricing studies, etc.), • Must have: Hands-on expertise to design and execute statistical methodologies such as the following:, • Driver analysis, • Significance testing, • Conjoint analysis, • MaxDiff analysis, • Factor analysis, • Cluster analysis, • Regression analysis, • TURF, • Correspondence analysis, • Pricing sensitivity techniques (Gabor Granger, Van Westendorp, etc.), • Weighting, • The technical ability to independently run these analyses end-to-end using analytics toolkits (e.g., R, Python, SPSS, Q, DisplayR), working directly with raw survey datasets, writing reusable code, and scaling workflows beyond one-off manual outputs., • Extreme proclivity for automation and productization, a leader who has innovated and built efficiencies into processes that otherwise would not exist - we are looking for somebody who can take a manual process and scale it beyond themselves to support hundreds of custom research projects at any given point., • Solid understanding of marketing strategy and how to apply insights in a business context., • Demonstrated ability to mine data to uncover meaningful consumer insights and translate them into actionable marketing recommendations., • Skilled at simplifying complex statistical ideas into clear, intuitive data visualizations., • Thorough knowledge of market research processes and best practices, including study and questionnaire design, sampling methodology (sample size, composition, weighting), data processing, analysis, and dashboard design., • Strong verbal and written communication skills, and experience developing and delivering client presentations., • 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 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.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 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 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: AI Scenario Designer Type: Contract Compensation: $80–$150/hour Commitment: 20+ hours/week Role Responsibilities • Build richly detailed personas and simulated digital environments using tools like Gmail, Slack, Calendar, WhatsApp, and Google Drive., • Write tasks that challenge an AI agent's ability to reason, filter, and prioritize effectively., • Run the agent against your scenarios, evaluate its performance, and guide it to success through structured hints., • Document your work clearly in Airtable and Crucible. Must-Have • Undergrad degree, 2+ years professional experience., • Strong written communication and attention to detail., • Writing chops: experience as a copywriter, UX writer, journalist, content strategist, editor, or creative writer., • Multi-stakeholder coordination: experience as a PM, account manager, consultant, client success, event coordinator, or producer., • World-building / creative design: experience as a game designer, curriculum designer, UX researcher, simulation designer, or tabletop RPG creator., • Upload resume, • AI interview based on your resume #hiringmercor

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 The Account Executive will play a critical role in driving Knit's next phase of growth by bringing on net-new enterprise partnerships while also expanding existing client relationships through thoughtful cross-sell strategies. This is a full-cycle sales role: you'll prospect, qualify, and close new business while collaborating closely with our Research and Customer Success team members throughout the sales process to ensure Knit's products align with our Clients' needs. You'll join a team that's building something category-defining - and you'll help shape how some of the world's most respected brands uncover and activate insights. You'll have a voice in shaping how we sell, refine our processes, and elevate how enterprise clients experience Knit. This is a high-impact role for someone who thrives in a collaborative, insights-driven sales environment and is motivated by both individual success and shared growth. Responsibilities | What you will own... Primary responsibilities of this role: • Drive net-new revenue by identifying, engaging, and closing partnerships with enterprise organizations., • Collaborate deeply with Research and Customer Success teams throughout the sales process to ensure Knit's products align perfectly with client needs., • Lead a consultative, insight-driven sales process from discovery through close, positioning Knit as a trusted partner—not just a vendor., • Develop tailored outreach strategies to generate new introductions while partnering with Marketing on inbound interest., • Ensure seamless handoffs post-sale, clearly articulating client goals, key stakeholders, and success criteria., • Identify cross-sell opportunities within existing clients, expanding Knit's footprint across business units and functions., • Maintain high standards for pipeline integrity, forecasting accuracy, and documentation across every stage of the deal cycle., • Represent Knit at conferences, trade shows, and industry events, showcasing our AI-native insights capabilities and building relationships with prospective clients., • Continuously experiment and improve, bringing creativity, curiosity, and proactive thinking to how we sell and engage.Required Skills & Experiences A successful candidate for this role has experience bringing on net-new contracts at Fortune 1000 companies, specifically with Insights and Marketing teams. This experience is important as the main responsibility for the role is to give our clients the best experience working with Knit, while uncovering new opportunities to partner. Required: • 5+ years of experience leading a consultative, full-cycle enterprise sales process, • Consistent track record of hitting or exceeding $1M+ annual sales quotas, • Experience selling $100K+ annual contracts to Fortune 1000 companies, • Sales approach with a strong emphasis on discovery - running a process that is extremely thoughtful, intentional, curious and consultative, • Exceptionally organized with disciplined pipeline management and attention to detail, • Deep curiosity and the ability to translate complex ideas into clear, compelling value, • Experience working in a collaborative, fast-scaling environment, alongside customer success, marketing, and product teams, • Direct experience selling into Insights, Analytics, or Marketing teams at enterprise organizations., • Familiarity with market research tools, methodologies, or data platforms., • Background in SaaS, AI, or technology-enabled services that drive strategic decision-making. If India: Upon joining the Knit team, you will receive a competitive salary + Equity Options if applicable to role, Healthcare Coverage, a company-issued laptop, contributions to the Employee Provident Fund (EPF), holiday time-off, and more! Salary In accordance with New York pay transparency requirements, the salary range for this role is $110,000 - $150,000 with an OTE (Base + Commission) of $240,000 - $300,000 annually. Final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit. Our Company Values We are the Championship Team. This means we: • 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 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 looking for an Ops Leader to serve as the strategic backbone of Knit - someone who will instill the operational excellence required to scale our people, systems, and governance with efficiency. We're looking for an intense, high-velocity operator who moves seamlessly between strategy and execution, translating big-picture priorities into durable processes. Responsibilities | What you will own...Required Skills & Experiences You will accelerate Knit's growth by driving our day-to-day core business functions, specifically leading People, HR, and GRC. This role exists to ensure the organization is structured, well-supported, compliant, and aligned, so our people can build and sell at the highest level. Key workflows for the functions you will lead: [45%] People Operations & Human Resources • People Operations Strategy, • Employee Satisfaction, Retention & Engagement, • Onboarding, Performance Management, Development and Offboarding, • Global Payroll and Benefits Administration (we currently use Justworks and have an entity in India), • US Federal & State Compliance, • Global HR systems management, • System, Tooling, and IT Management Strategy (Hardware and Software Procurement), • Internal Communications & Change Management, • Vendor Partnerships, • Compliance & Risk Posture, • Revenue-Accelerating Security Operations, • Privacy & Data Protection Excellence, • Turning chaos into order through clarity and processes gives you energy, • You value responsiveness and overcommunication, • You are not afraid to be decisive and have strong discernment between 2-way vs 1-way doorsThis role is NOT for you if..., • You avoid hard conversations with individuals, teams, or peer leaders, • You prefer to stay in one functional lane rather than operate cross-functionally, • You need rigid structure or clarity before making decisions and taking actionRequired Traits, Competencies & Experiences, • Sound Judgment, Pragmatism & Discretion: Knows what matters, why, and when to act with a bias towards action - with the experience to size and calibrate solutions accurately to the needs and stage of the business. Make objective calls that are best for the business, and handle sensitive information with care., • 12+ years in high-pressure, fast-paced environments with at least 5 years as a final decision-maker in in-house People Ops, • Proven builder of scalable people ops programs from 0 to 200 headcount, • Led cross-functional teams through SOC 2, ISO 27001, and GDPR certifications, • Ownership & Accountability: Confident, clear, and direct with all comms - from ICs to Co-Founders to Exec team and board members. Tailors communication to the room, delivers hard messages to any audience, and drives / manages up with transparency and accountability., • Proven track record reporting directly to and managing up to CEOs and Co-Founders at Seed to Series B startups, • 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 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 Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the role: As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together! In this role, you will: • Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on securing Kubernetes workloads within cloud infrastructure environments, • Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements., • Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments., • Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise., • Act as a virtual member of CoreWeave's Security product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions., • Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture., • Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions., • Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders., • Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption., • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 7+ years of proven experience as a Solutions Architect, engineer, researcher or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on securing Kubernetes workloads, • Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions, • Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences, • Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies including networking, • Deep understanding of administrating Kubernetes clusters including controls such as RBAC, admission controllers, container security, etc., • Code contributions to open-source inference frameworks, • Experience with scripting and automation related to securing Kubernetes environments, • Experience with building solutions across multi-cloud environments, • You love to help solve challenging technical problems, • You're curious about the latest and greatest technologies in the AI space At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $220,000. 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 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 opportunityAs an AI Researcher specializing in generative models for materials discovery at Radical AI, you will help the development of the first commercial foundation model for materials science. Your role involves pioneering the application of generative models in the field of materials science, in particular by leveraging flow matching, diffusion, and LLMs. You will develop novel models and training techniques tailored for atomistic data in materials science. Your responsibilities include designing and conducting large-scale experiments to validate the most promising approaches in generative modeling. Collaborating closely with our engineering and computational materials science teams, you will play a crucial role in transitioning state-of-the-art models from research to production. 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 • Lead and develop our generative foundation models in materials discovery., • Work in collaboration with various teams, in particular the quantum chemistry team, the atomistic simulation team, the engineering team, and the experimental team., • Conduct large-scale experiments to validate and refine promising approaches, collaborating closely with engineers to implement these models in production., • Develop rigorous benchmarks to validate and test the performance of our models., • 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., • 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 deep learning and generative models., • At least 3 years of research experience in AI, with a proven track record in generative modeling, particularly in fields adjacent to materials science., • Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching., • Demonstrated experience in designing and running large-scale experiments in AI and machine learning., • Passionate about leveraging ML for science related problems and a commitment to doing world-class research., • 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, • Prior experience in transitioning AI research into production environments., • 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 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 Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the role: As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together! In this role, you will: • Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on storage technologies within high-performance compute (HPC) environments, • Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements., • Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments., • Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise., • Act as a virtual member of CoreWeave's Storage product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions., • Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture., • Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions., • Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders., • Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption., • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 7+ years of proven experience as a Solutions Architect, engineer, researcher or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on storage solutions, • Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions, • Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences, • Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies including networking, • Deep understanding of storage/file system protocols and how to integrate them into infrastructure systems, • Code contributions to open-source inference frameworks, • Experience with scripting and automation related to storage technologies, • Experience with building solutions across multi-cloud environments, • You love to help solve challenging technical problems, • You're curious about the latest and greatest technologies in the AI space At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $220,000. 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 At Solve Intelligence, we’re building something people actually want - and we have the revenue and traction to prove it. 🏗️ The Role: Full-Stack Account Executive Less than 24 months since launch, we are adding 7 figures of ARR per month. We’ve built a world-class team of AI PhDs, engineers, and patent attorneys. Now, we need a high-energy, ambitious GTM powerhouse to help us scale to $1B+ ARR. What you’ll own: * Build the GTM Motion: You aren't just following a playbook; you’re writing it. You'll architect our sales and growth strategy from the ground up. * Lead Generation & Networking: Smash outbound targets, leverage your network, and represent Solve at global IP conferences to book demos and win over key decision-makers. * Product Demos: Show the world the future of IP. You’ll teach leaders how to leverage AI to transform their workflows. * Closing Deals: Full-cycle ownership from lead to close, working with our Technical IP team to ensure seamless onboarding. * Product Influence: Act as the bridge between the market and our AI researchers. Your feedback will directly shape the product roadmap. 💡 About Solve Intelligence We are the fastest-growing startup transforming Intellectual Property. Our AI-powered platform handles invention harvesting, patent generation, and portfolio management. * Growth: 20-30% MoM revenue growth. * Market: 300+ IP teams globally, including Tier-1 firms like DLA Piper and major tech enterprises. * Impact: Users report 50-90% efficiency gains. * 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. 👋 Who You’ll Work With You’ll be joining a founding team with deep pedigree: * 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. To thrive here: * You move fast: You prioritize speed and aim to close deals in days, not months. * You are a "grinder": You have a relentless work ethic and take extreme ownership of outcomes. * You are an optimist: You thrive in a positive, high-stakes environment and are eager to learn. * You believe in AI: You understand we are at the start of an exponential curve and want to drive mass adoption. 🛠️ What You Bring Must-Haves: * Proven track record as a top-performing AE in a high-growth SaaS environment. * Exceptionally clear written and verbal communication. * A metrics-driven mindset and a willingness to "grind" alongside the founders. Preferred & Nice-to-Haves: * STEM Degree: (Maths, CS, Physics, Engineering, etc.). * Legal/IP Background: Experience in patent prosecution or a qualified USPTO/EPO patent attorney/agent. * Technical Sales: Experience selling complex products to mid-market or enterprise firms. * Entrepreneurial Spark: Side hustles, early-stage experience, or a history of building things. 🎁 What’s In It For You? * Compensation: Competitive base + unlimited commission upside. * Equity: Meaningful ownership in a high-growth startup. * Support: Full visa sponsorship and private medical insurance. * Perks: Free meals and the chance to work with the smartest minds in AI. Ready to build the future of IP? Apply now. 🚀 Compensation Range: $100K - $200K

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 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 As a Customer Success Director at Knit, you'll be the driving force behind our customers' success — leading onboarding, driving adoption, and ensuring long-term value realization from the Knit platform. Your day-to-day will flex based on the customer's size, complexity, and strategic importance, offering opportunities for both full ownership and close partnership with teammates. The Customer Success function is central to Knit's growth and retention strategy, and your work will directly drive customer renewals, increase product usage across multiple research use cases, and deepen stakeholder relationships through strategic, high-touch engagement. You'll identify and capture expansion opportunities, contribute to revenue growth, and help close the feedback loop between customers and internal teams — influencing product direction and enhancing the overall customer experience. This is a highly cross-functional role, requiring close collaboration with Sales, Research, and Product to ensure each customer achieves measurable success with Knit. Responsibilities | What you will do... Work across a portfolio that includes both strategic and growth-stage accounts. For some customers, you'll serve as the primary point of contact, owning the full post-sale lifecycle — from onboarding and enablement to renewals and commercial conversations. For others, particularly our most strategic partners, you'll collaborate closely with a Client Partner, providing deep product expertise and platform support while they lead the broader relationship and commercial strategy. Primary responsibilities of this role: • Own and manage the full post-sale customer lifecycle — including onboarding, implementation, enablement, and success planning — to drive long-term value realization and customer retention, • Lead onboarding and platform setup for new customers to ensure a smooth, goal-oriented launch that accelerates time-to-value, • Deliver live and asynchronous platform training and enablement (e.g., walkthroughs, guides, and demos) to increase user adoption across multiple research workflows, • Monitor credit usage and use cases activated to proactively identify gaps and unlock new use cases, driving deeper engagement and account growth, • Provide responsive, high-context product support to resolve customer issues efficiently and maintain satisfaction throughout the relationship, • Build and maintain trusted relationships with key stakeholders to increase influence, ensure alignment on goals, and strengthen account health, • Collaborate with Client Partners and internal stakeholders on strategic accounts to surface usage insights, remove blockers, and support high-impact success plans, • Lead or support commercial conversations (renewals, pricing, contract negotiation) to secure continued partnerships and drive predictable revenue retention, • Identify and execute expansion and upsell opportunities in collaboration with Sales, Research, and Product — contributing directly to net revenue growth, • Host Partnership Briefs or success check-ins to align on customer objectives, report on usage trends, and guide roadmap adoption, • Create and maintain enablement resources and scalable success content to support customer self-service and improve onboarding efficiency, • Advocate for customer needs and feedback internally to inform product roadmap decisions, influence feature development, and enhance customer outcomes, • Collaborate cross-functionally with Research, Product, and Sales teams to deliver a unified, high-impact customer experience, • 8+ years market research experience on the supplier side, whether at an agency, research tech company, or on the client side), • 6+ years experience owning client relationships, driving value and leading renewal and upsell engagements end to end., • Proficiency with research or customer success tools (e.g., CRMs, enablement platforms, analytics dashboards, research platforms) as part of your daily workflow, • Demonstrated ability to build strong stakeholder relationships, drive adoption, and deliver measurable outcomes for complex or multi-use case customers, • Strong communication and presentation skills — capable of leading training sessions, commercial conversations, and strategic business reviews, • Highly collaborative, with a history of working cross-functionally across Sales, Product, and Professional Services/Research teams, • Comfortable navigating change and ambiguity in a fast-paced, high-growth environment, • Curious, customer-centric mindset with a desire to scale impact through technology, enablement, and strategic partnership, • 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 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 Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the role: As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together! In this role, you will: • Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on networking technologies within high-performance compute (HPC) environments, • Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements., • Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments., • Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise., • Act as a virtual member of CoreWeave's Networking product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions., • Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture., • Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions., • Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders., • Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption., • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on infrastructure networking., • Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions, • Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences, • Expertise with a broad range of networking technologies and topics, with a familiarity to understand the needs and use cases is it relates to securing and enabling high performance networking engironments., • Experience with managing infrastructure networking, Kubernnetes CSI management, and private networking concepts, • Code contributions to open-source inference frameworks, • Experience with scripting and automation related to network technologies, • Experience with building solutions across multi-cloud environments, • You love to help solve challenging technical problems, • You're curious about the latest and greatest technologies in the AI space At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $220,000. 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 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

Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher

A cutting-edge AI firm is seeking cybersecurity professionals to help evaluate AI-generated security content and solve technical problems. Ideal candidates will have 2+ years of hands-on experience in cybersecurity roles and solid writing skills in English. This opportunity allows you to impact the

A leading AI development firm is seeking experienced quantitative professionals to evaluate AI-generated analyses and help shape the future of AI systems.This remote role offers flexibility in project selection and a competitive hourly rate of up to $60.Candidates should have a quantitative backgrou

A leading cybersecurity firm is seeking experienced professionals to evaluate AI-generated security content and solve cybersecurity problems.This role offers flexibility, allowing you to work on your own schedule from anywhere in the US or other approved countries.Candidates should have 2+ years of

A tech company is seeking a Postdoctoral Researcher to evaluate AI chatbots and improve their performance.This role is remote and can be part-time or full-time, allowing you to choose the projects you want to work on.Candidates must have a strong understanding of physics, particularly classical mech

A leading AI company is seeking Mathematics researchers to assist in evaluating and fine-tuning large language models.Candidates should possess strong analytical skills and the ability to work independently.Engage in research that influences the future of AI model performance in mathematics.

Interest in the intersection of finance and AI and how expert judgment can be translated into intelligent systems.

A leading data services company is seeking a Clinical Researcher to evaluate AI chatbots by testing their understanding of complex biology questions. This is a remote contract position with flexible hours and competitive pay starting at $40+ USD per hour, including potential bonuses for high-quality

We are looking for a Postdoctoral Researcher to join our team to train AI models.

We are looking for a Clinical Researcher to join our team to train AI models.

Applied Researcher I (AI Foundations, LLM Core and Agentic AI). LLMs, SSL techniques, model pre-training optimization). PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning).

The role is remote and offers flexible project selection on an hourly payment scheme starting at $40 per hour.

DFIR, malware analysis, threat intelligence, or similar) Some coding experience required Fluency in English (native or bilingual level) Strong writing and analytical skills A bachelor’s degree is preferred Cybersecurity certifications are a plus (e. Benefits This is a full-time or part-time REMOT

The Bloomberg CTO Office is the future-looking technical arm of Bloomberg L. Bloomberg offers the richest and most comprehensive financial datasets across asset classes in the world, paired with extensive product offerings from data to analytics to trading and investment management. Shape how Bloomb

The Center for Data Science at New York University (NYU) invites applications for postdoctoral scholars as part of the Polymathic AI initiative.Polymathic AI ( research focuses on building and understanding foundation models for science, and in particular modeling complex in

Researchers in Self-Construction study recursive design principles: how systems represent their own construction processes, evaluate them, and evolve. The System Self-Construction team builds systems that can build other systems.

In this role, you'll work with world-class researchers at FAIR on fundamental and exploratory research. Fundamental AI Researcher - FAIR Responsibilities:. Experience holding an industry, postdoctoral, faculty, or government researcher position.

This role is remote, offering flexibility with project selection and scheduling.

A cybersecurity solutions provider is seeking experienced professionals to evaluate AI-generated security content and solve technical problems.This role offers flexibility as it is fully remote, allowing you to work on your schedule and choose projects.Ideal candidates should have 2+ years of cybers

We are seeking experienced Equity Research professionals to work as domain experts on a contract basis, helping us design, test, and improve generative AI tools for financial analysis. Interest in the intersection of finance and AI and how expert judgment can be translated into intelligent systems.

LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Finetuning PhD focused on topics related to guidin

Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. For technical support or questions about Capital One's recruiting proc

Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. For technical support or questions about Capital One's recruiting proc

Mercor is seeking a Pharmaceutical Research Expert for a remote contract position. The role requires a PhD, MD, PharmD, or MS, and at least 3 years of full-time experience in pharmaceutical or biotech companies. Responsibilities include creating digital workspaces for pharma research, designing mult

This remote role allows you to set your own schedule and choose projects, offering competitive pay starting at $40+ per hour.