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Paxos Labs builds enterprise infrastructure that powers the next generation of trusted onchain financial products. We work with the largest financial enterprises in the world to build transparent and verifiable onchain infrastructure that works for end users and everyday financial use cases. If you believe in bringing DeFi and digital assets to the mainstream, consider building your career at Paxos Labs. We're hiring a DeFi Backend Engineer to help scale Paxos Labs's DeFi infrastructure capabilities. We are open to candidates of varying levels of experience for this role. The team at Paxos Labs builds DeFi infrastructure that reimagines the way on-chain liquidity strategies are handled. Strategies and risk management are delegated to sophisticated actors who act from compute done in a data rich offchain environment—all the while maintaining onchain constraints that enforce user safety. We are looking for a motivated developer that can not only develop, but aptly research and deploy extensive knowledge across TradFi and DeFi to execute state-of-the-art risk curation and yield optimization in DeFi.. Most importantly, we are looking for developers with interests in the following: * Quantitative Risk Analysis * DeFi Trading Strategies * Performant Backend Engineering Responsibilities Financial * Collaborate closely with a Quantitative Researcher to manage a portfolio of yield generating opportunities across protocols and blockchains. * Manage algorithm design and back testing to produce actionable insights for DeFi portfolio management. Engineering * Automate complex onchain interactions interacting with various DeFi protocols via offchain services. * Monitor data, forecast risk, and implement optimized triggers to enter opportunistic strategies or exit black swan events before anyone else in the market. * Maintain trading infrastructure and tools to guarantee operational security and to reduce trust assumptions for our users. * Build solvers that can find the optimal routing through various DEXs to construct transactions that can process multiple swaps in batch. Your application has been successfully submitted!

We’re a startup with big ambitions: to make estate planning modern, visual, and intelligent. ___ is the first AI-powered estate advisory platform, built by advisors, planners, and attorneys to transform how wealth is transferred across generations. Our technology unifies scenario modeling, client visualization, and document creation into one seamless, digital experience. Our team brings together diverse subject matter expertise across estate planning, wealth management, and scaling SaaS startups. We’re distributed across the U.S., with a mix of fully remote and hybrid roles, and we embrace flexibility while staying closely connected. At Vanilla, you’ll join curious builders and problem-solvers who thrive on speed, autonomy, and impact. Here, you won’t just join a company, you’ll help create it. If you’re excited to tackle hard problems, move quickly, and see your work shape both an industry and a growing startup, we’d love to meet you. Job Summary Vanilla is seeking a Senior Software Engineer - AI Applications with a strong background in software development, data science, machine learning, and artificial intelligence. You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineering skills will come into play here as you’ll take ownership in constructing services to ingest structured results. If you’re a proactive problem-solver who lives to disrupt archaic processes with cutting-edge technology, this is the job for you. As a Senior Software Engineer, you will work collaboratively with engineering and subject matter experts to find innovative and disruptive uses of AI to streamline (or replace) workflows. Responsibilities * Machine learning and AI: You are passionate and knowledgeable about the current and future state of AI. * You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineer skills will come into play here as you'll take ownership in constructing services to ingest results. * You will work with product, and engineering teams and build models/services that can ingest data, extract key information and surface insights. * You can drive technical vision and leverage open source technologies and cloud services to build an AI/ML platform. * You can build tooling to support model training, evaluation, inference serving, monitoring and alerting. * You want to use the latest ML frameworks and open source tools to develop new model training pipelines. * Hands On Coding: You have direct experience with software engineering and are familiar with modern languages like Python, Javascript, Go, Rust * You have experience building microservices and understand the tradeoffs of the approach. * Data handling: You can identify, extract, transform, and load data from disparate sources into a centralized system. You are able to normalize, cleanse, and validate this data. * Database management: You are able to design and implement schemas, optimize queries, and manage database performance. * Project management: You must be an effective self-organizer: prioritize tasks, manage resources, and communicate effectively with non-technical stakeholders. * Collaboration: We are one team. You must be able to collaborate with engineers, subject matter experts, product managers, and designers to ensure the success of projects. Qualifications * Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience. * 6+ years relevant work experience. * Proficiency in, at least, one modern programming language such as Python or Javascript. * Experience building commercial SaaS solutions. * Experience integrating with backend services, and APIs. * Experience with OpenAI, Anthropic, or similar for both chat and API interfaces. * Deep understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation. * Experience with tuning AI performance and scalability of AI infrastructure. * Preferred experience with AI observability, monitoring, and signaling with tools such as LangChain or LangGraph. * Experienced with LLM orchestration tooling and decision frameworks. * Experience or exposure building agentic capabilities and workflows. * Experience or exposure to evaluation testing frameworks. * Exceptional candidates will have direct experience with RAG for tuning LLMs. * Experience with API design and accessing data from external sources. * Ability to effectively articulate technical challenges and solutions. * Deal well with ambiguous/undefined problems; ability to think abstractly. * Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. * Candidates must be legally authorized to work in the United States without the need for sponsorship now or in the future. Vanilla is unable to provide visa sponsorship at this time. You Might Be a Great Fit If: * You have hands-on experience with AI and Large Language Models (LLMs). You’ve worked with OpenAI, GPT models, or other similar technologies and have integrated them into real-world applications. * You are a critically thinking software engineer. You have built and maintained scalable microservices and understand the tradeoffs of this architecture. * You can build AI-powered applications with high accuracy. You understand the challenges of AI implementation and know how to optimize models, fine-tune them, and create efficient pipelines for training, evaluation, and deployment. * You are a problem-solver and innovator. You love tackling undefined, ambiguous problems and applying AI to disrupt outdated processes. You’re excited about revolutionizing estate planning with cutting-edge technology. You May Not Be a Great Fit If: * You are primarily a data scientist or ML researcher, rather than a software engineer. While AI and machine learning are key components of this role, we need a strong application developer first. You should be comfortable building production-ready software, integrating AI models into applications, designing APIs, and working with databases. If your experience is mostly in research, data modeling, or experimentation without deploying AI-driven applications, this may not be the right fit. * You prefer working in highly structured, slow-moving environments. At Vanilla, we move fast and iterate quickly. The salary range for this role is $160,000 to $190,000. Our compensation packages also include a performance based bonus and equity. Compensation is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. * Flexible paid time off policy and 10 company-wide paid holidays * Parental leave, 4 weeks for all full-time employees and up to 12 weeks for birthing parents * Medical, dental, and vision benefits coverage for employees and their families * 401K eligibility after one month of employment * Free estate planning documents * Budget for learning & development and home office setup * Paid parking or transit for hybrid and in office employees Vanilla Technologies Inc. (dba "Vanilla") provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Vanilla participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

1Password is growing faster than ever. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing and the Utah Mammoth. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Extended Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We’re building out our Vulnerability Management team, and we’re looking for an Engineering Manager to help shape it. This team helps ensure that security risks across 1Password’s software, infrastructure, and dependencies are identified, prioritized, mitigated, and resolved quickly, while ensuring a great user experience. The team is responsible for our internal vulnerability management program and our public-facing Bug Bounty program. Internally, we partner with product, design and development teams, along with security specialists to ensure vulnerabilities are prioritized and remediated appropriately. Externally, we partner with the security research community, publications, and other specialists to identify and remediate security issues, while upholding principles of transparency as a responsible industry leader. As an Engineering Manager, you’ll be responsible for enabling your team to deliver meaningful impact while maintaining a healthy, accountable, and collaborative environment. You’ll set clear direction, shape technical and delivery strategy with your team, support the growth and performance of engineers, and ensure strong communication and alignment with cross-functional partners to successfully achieve team and organizational goals. This is a remote opportunity within Canada and the US. What we're looking for: * Strong background working in software development, either as a software engineer, security researcher, tester, or as an engineering manager of software development teams. * Strong background building, scaling, coaching and leading high performance software development or engineering teams. * Strong experience communicating with internal and external stakeholders; interacting with members of the public on behalf of an organization, and communicating risk to senior leadership teams. * Strong experience working within the security domain, either working for a security company, as part of or managing security teams, as a security developer, engineer, or researcher. * Experience with vulnerability management programs - this may come in the form of a program owner, security researcher, pentester, security developer, security engineer, work on bug bounty programs, etc. * Experience with AI Adoption, AI Tooling, and enablement * Experience coordinating and delivering on large scale projects Bonus points for: * Prior experience working with application security teams in a medium sized tech organization * Prior experience with all of pentesting, bug bounty programs and vulnerability management * Prior experience working closely with governance, risk and compliance teams * Significant experience with AI tooling in the security space * Significant experience building and scaling security teams * Significant experience building new teams from scratch and working with ambiguity to set clear boundaries and technical direction What you can expect: * Manage a team of engineers and develop engineering leads. Foster an environment of innovation, execution and collaboration. * Rapidly mature and scale the Vulnerability Management Program at 1Password, with a clear focus on innovation and AI * Conduct recruiting and hiring activities to build and grow a team of strong engineers to create a high performance and inclusive workplace. * Work to scope and plan key deliverables for projects and initiatives with the team. * Drive execution with an emphasis on iterations and deliverables, quality, velocity and communication. * Provide technical leadership to engineers both in your team and across the engineering organization. Even if you don't tick all these boxes, we want to hear from you. We understand that everyone's experiences are unique. The most important thing you can bring to this job is the drive to dive in, get the work done, and fix root causes instead of treating symptoms. We believe in continuous learning and support professional development on the job with a budget to back it up. If you bring a desire to do the right thing for our customers, a sense of ownership over the product you work on, and a focus on shipping quality code, we want to hear from you. USA-based roles only: The annual base salary for this role is between $192,000 USD and $278,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $171,000 CAD and $248,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, ___. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See ___ for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing ___. For additional information see our ___.

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. We are seeking a highly motivated postdoctoral researcher to join the Adusumilli Laboratory at MSK. The candidate will work with the lab head to design and execute bench experiments, supervise technicians, analyze experimental results, prepare manuscripts, and maintain laboratory records. The laboratory's focus is on developing and translating adoptive T-cell therapy for the treatment of various solid cancers, including lung cancer, breast cancer, and mesothelioma, using recombinant oncoretroviruses and lentiviruses as vectors. The ideal candidate will have a PhD or MD/PhD, with a background in immunology and experience with mouse models. Knowledge of general oncology and cancer pathogenesis, molecular/genetic concepts, experimental methods, and data analysis is essential. The candidate should be comfortable with the handling of human blood and tissue samples, have strong interpersonal skills, and be able to work in a dynamic environment. Responsibilities: • Work directly with the lab head to design, develop, and execute bench experiments, • Supervise technicians/research fellows in the conduct of bench experiments and coordinate with core laboratories to process samples, • Perform data management, analyze experimental results, and draft experimental procedures and manuscripts pertaining to research work, • Maintain detailed laboratory records, • Familiarity with general oncology and cancer pathogenesis, • Knowledge of molecular/genetic concepts, experimental methods, and data analysis, • Ability to maximize resources and troubleshoot effectively, • Experience with and willingness to work with mouse models, • Comfortable with the handling of human blood and tissue samples Requirements: • PhD or MD/PhD with a background in immunology, • Passion for science and a desire to advance the understanding and treatment of cancer Application Instructions Please submit your CV, bibliography, brief statement of research interests, and names and details of three references to: John Pintado Pay Range: $72,000 - $87,5641 Based on PGY* Pay Range: $0.00 - $10,000,000.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Job Description Trexquant is seeking an experienced quantitative researcher to lead our Systematic ETF Strategy Team. In this role, you will manage a team of researchers focused on designing, implementing, and trading systematic ETF-based strategies within Trexquant’s core quantitative framework. Your leadership will play a critical role in scaling ETF strategies into a meaningful asset class for the firm. Responsibilities • Lead and mentor a team of researchers to expand ETF capabilities by identifying new data sources, signals, and strategies., • Oversee the design, backtesting, and implementation of systematic ETF trading strategies., • Collaborate with the development team to enhance the performance, robustness, and scalability of ETF simulation and trading infrastructure., • Partner with execution and financing teams to optimize trade execution and capital efficiency., • Work with the risk team to establish monitoring frameworks, controls, and capital allocation processes specific to ETF exposures., • 5+ years of experience researching and trading quantitative ETF-based strategies., • Bachelor’s, Master’s, or Ph.D. in Mathematics, Statistics, Computer Science, or a related STEM field., • Proven leadership experience managing quantitative research teams., • Strong quantitative, analytical, and problem-solving skills., • Proficiency in Python; familiarity with large-scale data analysis and backtesting frameworks a plus. Benefits • Competitive salary with performance-based bonus., • Collaborative, casual, and friendly work environment., • PPO health, dental, and vision insurance fully covered for you and your dependents., • Pre-tax commuter benefits., • Weekly company-provided meals. Applications are now open for our NYC office, opening in September 2026. The base salary range is $130,000 to $200,000, depending on candidates’ educational and professional background. Base salary is only one part of Trexquant’s total compensation, which may include a discretionary and performance based bonus. Trexquant is an Equal Opportunity Employer

Creates richer, more authentic professional scenarios - World-building / creative design — game designer, curriculum designer, UX researcher, simulation designer, tabletop RPG creator - Technical / data comfort — JSON familiarity, Jira/Asana power user, technical PM, data analyst, SQL/Py

SuiteOp Engineering Role SuiteOp is a property management and operations platform that helps operators manage reservations, IoT devices, guest communications, upsells, and field-team tasks across large property portfolios. We integrate with dozens of third-party services, from smart locks to property management systems to payment processors and communication tools. We're a Seed Compapny ($3M+ raised) company with a small, high-leverage engineering team that ships like a team many times its size. Our secret: we build with AI, not just for AI. Claude Code, Cursor, and Copilot (via Github) are core members of our workflow, not afterthoughts. We're in the middle of a clean-room rebuild: migrating from a legacy no-code platform to a hand-crafted, production-grade TypeScript monorepo. The database, API layer, web dashboard, and mobile app are all being rebuilt from the ground up with modern tooling and strict engineering standards. This is an incredible opportunity to be here for this pivotal moment at the company. The Role You'll be an engineer who happens to be exceptionally good at working with AI. Not an ML researcher, not a prompt engineer. You'll write real production code across the full stack while leading a small team of engineers doing the same. You'll use AI coding tools as force multipliers to ship features, debug issues, and refactor code at a pace that would be impossible otherwise. You'll also shape how the team works with AI, establishing workflows, standards, and practices that make AI-assisted development reliable and repeatable across the engineering org. This is a player-coach role. You'll spend most of your time building, but you'll also be responsible for the output, growth, and direction of the engineers around you. What You'll Do • Build production features across our full-stack TypeScript monorepo: API services, web dashboard, mobile screens, database schemas, • Ship full vertical slices, from database migration to API endpoint to UI component, not isolated tickets, • Lead and mentor engineers through code review, architectural guidance, pairing sessions, and setting the quality bar for the team, • Drive the rebuild through its remaining phases: API migration, web dashboard rebuild, mobile app rebuild with offline-first architecture, • Integrate with external services like property management systems, smart locks, payment processors, and communication APIs, • Work with AI tools daily and establish best practices for the team to do the same, • 5+ years of professional experience with TypeScript or JavaScript in production, • 2+ years of experience leading engineers, whether as a tech lead, engineering manager, or senior engineer who mentored others and owned team output, • Full-stack capability. You're comfortable writing a database migration, a backend service, and a frontend component in the same PR, • Demonstrated proficiency with AI coding tools. You already use Claude Code, Cursor, Copilot, or similar in your daily workflow and can articulate when they help and when they don't, • Strong understanding of relational databases, including schema design, migrations, indexes, and foreign keys, • Good architectural judgment. You know when to build, when to buy, when to refactor, and when to ship as-is, • Experience with NestJS, Next.js, or React Native / Expo, • Experience with offline-first mobile architectures, • Experience with IoT data pipelines or high-frequency event processing, • Familiarity with Supabase or similar Postgres-as-a-service platforms TypeScript everywhere. Turborepo monorepo. NestJS API, Next.js web dashboard, Expo mobile app. Supabase for the database, auth, and realtime. Redis for background job processing. Hosted on Vercel and Railway. End-to-end type safety from database schema to frontend form. How We Work • Small team, high ownership. You'll own entire features end-to-end and be accountable for your team's output., • AI-first development. Our architecture is deliberately designed for AI comprehension: modular monolith, strict types, schema-first data flow, unified context windows., • Types over tests. End-to-end type safety catches most bugs at compile time. When we test, it's integration tests against real databases, no mocks. You'd be joining at the most interesting moment: the rebuild. The architectural decisions are being made right now. The patterns that will define how this product scales are being laid down this quarter. You won't inherit a legacy system. You'll build the system that replaces it. You'll also be shaping the team. As we grow, the engineering culture and practices you establish will define how every future engineer works. This is a rare chance to build both the product and the team.

Job Description Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally. Starting with many data sets, we develop large sets of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. We are looking for data scientists, physicists, engineers, economists and programmers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets. As a Quantitative Researcher you will be involved in developing market-neutral signals, parsing and analyzing large data sets and collaborating with the Data and Strategy Research team to build a diverse set of predictive models. While we are open to researchers in any asset class we are currently focusing on roles in equities, futures, commodities, and event driven research. Responsibilities • Design, implement, and optimize various machine learning models aimed at predicting liquid assets using a wide set of financial data and a vast library of trading signals., • Parse and analyze large datasets to identify actionable alpha signals and develop strategies for systematic trading., • Investigate and implement state-of-the-art academic research in the field of quantitative finance., • Continuously innovate and improve existing models by integrating new data sources and advanced techniques to boost performance and scalability., • Collaborate closely with a team of experienced quantitative researchers to conduct experiments, backtest hypotheses, and refine strategies through rigorous simulations and data analysis. Requirements • BS/MS/PhD degree in any stem field, • 2+ years in a systematic trading environment, • Passion for machine learning, • Fluent with programming languages like Python, • Strong problem-solving skills, • Competitive salary plus bonus based on individual and company performance, • Collaborative, Casual, and friendly work environment, • PPO Health, dental and vision insurance premiums fully covered for you and your dependents, • Pre-tax commuter benefits, • Weekly company meals Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary for this role is $130,000 to $200,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

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 Description We are seeking a highly skilled and motivated Quantitative Researcher to join our Futures team. This role focuses on researching and developing quantitative models for trading and risk management within the futures markets. The ideal candidate will have expertise in financial modeling, statistical analysis, and a deep understanding of market dynamics. Responsibilities • Design, implement, and optimize trading strategies to predict futures market trends using extensive financial data and a wide array of trading signals., • Parse and analyze large datasets to identify actionable alpha signals and develop strategies for futures trading., • Explore and apply cutting-edge academic research in quantitative finance to assess, refine, and enhance the profitability of trading strategies., • Continuously innovate and improve existing models by integrating new data sources and advanced techniques to boost performance and scalability., • BS/MS/PhD degree in a STEM field., • 2+ years of experience in quantitative research, preferably within futures markets., • Passion for machine learning., • Proficiency in programming languages like Python and statistical modeling., • Strong problem-solving skills., • Ability to work effectively both independently and as part of a team. Benefits • Competitive salary, plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets., • PPO Health, dental and vision insurance premiums fully covered for you and your dependents., • Pre-Tax Commuter Benefits – making your commute smoother. Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary for this role is $120,000 to $150,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

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 About Synchron Synchron’s vision is to build non-surgical brain–computer interfaces at global scale that protect the fundamental human rights of freedom of expression and autonomy. Our first mission is to develop motor decoders that restore the ability of 15 million people with paralysis to interact with the digital world. Our second mission is to develop whole-brain cognitive decoders that enable hundreds of millions of people with cognitive decline to preserve and expand their agency as cognition changes over time. In pursuing these goals, we aim not only to help humans flourish, but also to drive fundamental discoveries in human intelligence. Our team operates at the intersection of healthcare and technology, translating breakthrough research into real-world, safety-critical systems. Employment: Full-Time Location: Brooklyn, New York (Onsite) About the Role We are seeking an energetic, personable, and adaptive researcher to work directly with the pioneering participants of our brain-computer interface (BCI) product. This role bridges human neuroscience research, applied machine learning, and real-world BCI deployment. You will work closely with our machine learning, research engineering, clinical, and product teams to collect, analyze, and interpret neural and behavioral data, contributing directly to the improvement of real-time neural decoding models and user experience. Your work will directly translate to the ability of our users to control the BCI. The ideal candidate is resourceful, learns fast, handles uncertainties strongly, and has excellent experiment operations. You should be as comfortable speaking with participants and their caregivers as you are experimenting with model training pipelines or analyzing data. Key Responsibilities • Conduct research sessions with BCI users, including setup, calibration, and structured data collection., • Analyze and interpret multimodal data (neural, behavioral, video) to inform product and research decisions., • Develop and iterate on machine learning models for neural signal decoding and behavioral prediction., • Collaborate with machine learning and research engineering teams to align experimental protocols with product goals., • Document findings and methodologies for internal and external dissemination., • Support the design of human research protocols and ensure compliance with ethics and safety standards., • Bachelor’s, Master’s, or PhD in Neuroscience, Computer Science, Biomedical Engineering, or a related field (or equivalent experience)., • Expertise in Python, with model training workflows (e.g., PyTorch, TensorFlow, scikit-learn, metaflow), and data science frameworks and tools (e.g., NumPy, Pandas, SciPy, matplotlib, seaborn)., • Expertise in machine learning techniques and applications for real-time systems, • Demonstrated ability to problem-solve under uncertainty and adapt quickly to new environments., • Excellent interpersonal and communication skills for working directly with BCI users and research participants., • Experience conducting or supporting human research., • Familiarity with brain–computer interface systems or electrophysiological data., • Experience designing or executing experiments with human participants., • Experience in applied research environments integrating software, hardware, and data science.Compensation, • The base salary range for this role is $150,000 – $220,000USD depending on experience, skills, and qualifications. We are unable to offer visa sponsorship for this position at this time. Benefits (for W-2, full-time, exempt employees in the US only) ***Intern positions not eligible • Subsidized medical and dental insurance coverage for you and your dependent(s), • Life insurance, short-term disability, long-term disability, • 401k, • Discretionary unlimited PTO, • Flexible Spending Account for you and your dependent(s), with eligible plan elections, • Commuter benefits for NY employees Equal Employment Opportunity (EEO) Synchron is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants and provide equal employment opportunities without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable law. If you need a reasonable accommodation during the application or interview process, please let us know. Join Us At Synchron, you will be part of a transformative mission and you will work alongside driven people who believe in the power of collaboration and innovation to make a lasting impact. If you are excited to stretch your skills and contribute to something meaningful, apply and now and build the future with us.

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 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., • Level-up the team around you. Mentor and collaborate with other engineers to help make the entire team better.This role is for you if..., • You're a 0 → 1 builder who thrives in ambiguity and has shipped products from scratch at a startup or in a hyper-growth phase. You've seen both - early-stage hustle and later-stage scale and know how to build for it., • You're a systems thinker with deep technical chops: you design clear architectures and write clean, tested Python and TypeScript., • You think like an owner: you spot problems, propose solutions, and build them without waiting for perfect specs. Your impact is measured in business outcomes., • You use AI as leverage. Tools like Cursor, Copilot, or Claude Code are integral to your workflow, helping you ship faster while maintaining a high standard for correctness., • You believe speed and quality aren't opposites and can articulate the tradeoffs you make., • You communicate crisply. You share your ideas effectively and thrive in tight feedback loops with product, design, and customers., • You've got grit: hard problems energize you, context switching doesn't scare you, and you're comfortable deleting code.Our Stack, • Frontend: React, Next.js, • Backend: Python, FastAPI, • Data/ML: MongoDB, S3, Redis; Pinecone, • Infra: AWS, Docker, Kubernetes; CI/CD with GitHub Actions., • Messaging: SQS; event‑driven pipelines.Required Skills & Experiences The successful candidate will be a high-ownership, product-minded engineer who combines strong full-stack fundamentals with experience building AI-native systems, capable of turning ambiguous problems into scalable, reliable features that drive real business impact. Required: • Experience with LLM/agent systems, evals, and prompt tooling; RAG, embeddings, vector dbs., • Deep knowledge of event‑driven systems, streaming, and workflow engines., • Expertise in observability (OpenTelemetry/Prometheus/Datadog), feature flagging, or A/B platforms., • Background in enterprise security and compliance (SOC 2, GDPR), • Bias to action: short specs, small PRs, daily deploys., • In-person collaboration: we're building the NYC hub together; whiteboards > long threads., • Are 1% better every day: We approach situations with a growth mindset and ask, "How can we make the business better?" and "What would it take?", • Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through). CCPA disclosure here.

Job Description We are seeking a highly skilled and motivated Quantitative Researcher to join our Volatility team. This role will be pivotal in helping to scale up a growing Volatility focused research group, and will work closely with our Head of Volatility to execute on our strategic roadmap. The role will focus on building volatility specific tooling, as well as on researching signals & strategies for trading within the volatility markets. The ideal candidate will have expertise in volatility modeling, statistical analysis, and a deep understanding of volatility market dynamics. Responsibilities • Build and maintain proprietary pricing/analytics tooling for volatility research., • Calibrate implied volatility surfaces across single stock, index, ETF options and more. Work with developers to productionize models and integrate them into backtesting and live trading systems., • Design, implement, and optimize trading strategies to predict volatility market trends using extensive financial data and a wide array of trading signals., • Parse and analyze large datasets to identify actionable alpha signals and develop strategies for volatility trading., • Explore and apply cutting-edge academic research in quantitative finance to assess, refine, and enhance the profitability of trading strategies., • Continuously innovate and improve existing models by integrating new data sources and advanced techniques to boost performance and scalability., • BS/MS/PhD degree in a STEM field., • 5+ years of experience in quantitative research, specifically focused on volatility markets., • Proficiency in programming languages like Python and statistical modeling., • Experience with industry volatility models; strong understanding of options pricing., • Familiarity with C++ a nice to have., • Competitive salary, plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets., • PPO Health, dental and vision insurance premiums fully covered for you and your dependents., • Pre-Tax Commuter Benefits – making your commute smoother. Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary for this role is $130,000 to $200,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

As a UX Researcher III, you will be part of the User Experience Department supporting innovative research initiatives. Job Title: UX Researcher Location: 100% Remote Duration : 9 month contract (potential extension up to 24 months) Pay Range: $70/hour What's the Job? Design, manage, analyze, and

Job Description Immediate Start - Machine Learning Researcher (PhD) – Systematic Commodities Hedge Fund Moreton Capital Partners is rapidly expanding and seeking a talented Machine Learning Researcher to help design and improve the predictive models that power our systematic commodities trading strategies in our Mexico City Office. We trade global commodity futures using machine learning, alternative data, and institutional-grade portfolio construction. Our edge comes from research depth, disciplined experimentation, and robust production systems. This role is for candidates completing or having recently completed a PhD with a strong machine learning, statistics, or applied mathematics focus who want to apply advanced research in a real capital environment. You will work directly with the CIO and sit alongside a world class international quant research team to turn cutting-edge ML ideas into live trading signals. Your research will ship to production and directly impact portfolio returns. This is not a purely academic role. We're looking for someone ready to hit the ground running and available to start immediately. In return, we offer a competitive salary, substantial performance share, comprehensive benefits, incredible work environment and a relocation package to make the move seamless. What you will work on • Designing predictive models for cross-sectional and time-series commodity returns, • Developing new features from price, positioning, options, macro, and alternative datasets, • Improving signal robustness and reducing overfitting through rigorous validation, • Combining and blending multiple models into portfolio-level forecasts, • Regime detection, meta-models, and adaptive allocation frameworks, • Model diagnostics, explainability, and stability analysis, • Translating research ideas into production-ready implementations, • Formulate research hypotheses and test them using clean, time-aware ML pipelines, • Build and evaluate models (tree-based, linear, ensemble, deep learning, etc.), • Run walk-forward and out-of-sample experiments with realistic costs, • Analyze information coefficients, turnover, drawdowns, and risk-adjusted returns, • Design feature engineering frameworks and reusable research tooling, • Document findings clearly and communicate results to portfolio managers, • PhD (completed or near completion) in Machine Learning, Statistics, Applied Mathematics, Computer Science, Physics, Engineering, or related quantitative field, • Strong Python skills and experience with scientific computing stacks, • Deep understanding of statistical learning and model validation, • Experience working with large datasets and experimental pipelines, • Ability to move from theory to practical implementation, • Intellectual curiosity and strong problem-solving mindset, • Experience with financial markets or systematic trading, • Familiarity with time-series modelling or forecasting, • Experience with LightGBM/XGBoost, deep learning, or ensemble methods, • Exposure to portfolio construction or risk modelling, • Experience with cloud or distributed compute environments, • Direct impact: your research drives live trading capital, • Research freedom: explore ideas with fast feedback loops, • Real-world data: large, messy, multi-source datasets, • Small team: high ownership and rapid iteration, • Strong learning curve across ML, markets, and portfolio construction, • Market leading benefits, • High responsibility from day one, • Attractive compensation: Highly competitive base salary and annual bonus that scales as the business grows., • Relocation package to our Mexico City office, along with a competitive benefits offering that includes health and life insurance, a year-end bonus, and generous paid time off., • Positive, inclusive and encouraging work environment., • Close collaboration across a global team.

Job DescriptionSalary: About Us Macrobond is a leading provider of global economic and financial data and technology for investment professionals. Our customers include over 900 firms spanning the buyside, sell side, corporate and academic sectors. Our platform, rich in intellectual property and supported by a rapidly expanding global team, ensures we remain at the forefront of our industry. With the backing of Francisco Partners, a prominent global tech investment firm, we operate as a truly international company.Our headquarters are based in London, with key offices in Gothenburg, Malm, Poland, Lisbon, Hong Kong, and New York. Job Overview The Product Specialist team at Macrobond consists of experts who provide technical guidance across our research systems, macroeconomic, and financial data. They play a key role in ensuring a seamless client experience through product training, troubleshooting, and client engagement. Product Specialists are integral to the sales process, helping prospects and new clients maximize the value of our offering. Acting as workflow and market experts, they combine strong macroeconomic knowledge with deep product expertise to engage with stakeholders ranging from analysts to C-level executives. This is a highly collaborative role, working closely with Sales, Marketing, Product, Data, and Customer Success teams to drive innovation and enhance our offering. The role is both technical and commercial, supporting revenue growth by helping close new business and expand existing relationships. Job Responsibilities • Developing In-Depth Product Knowledge: Gaining a comprehensive understanding of Macrobond's product line, including its functionality, design, and benefits., • Customer Engagement: Interacting with customers to identify their needs and suggest appropriate products., • Product Demonstrations: Conducting product demonstrations or presentations to clients and potential customers., • Marketing Support: Assisting in the creation of promotional materials and product marketing strategies., • Sales Collaboration: Working closely with the sales and marketing teams to achieve sales objectives., • Pre-Sale Support: Providing pre-sale support and feedback to customers., • Market Monitoring: Keeping an eye on market trends and competitor products., • Training: Training other staff members about the product details., • Product Development: Assisting in product development and enhancements based on customer feedback and market trends., • Issue Resolution: Resolving product-related issues in a timely manner. Required Qualifications and experience • 1-4 years of experience working in the Financial Services, Market/Financial Data (ideally), or financial industry at large in a technical role e.g. researcher, analyst, economist, pre-sales, or product/market specialist., • Eager to learn and thrive in a client-facing, technically involved role., • A strong communicator withexcellentpresentation skills; having the ability to convey complex ideas simply and concisely., • Analytical and detail-orientedworkingknowledge of Python, R, or another scripting language is a plus (especially for our Web API offering)., • Proactive, collaborative, and solution focused. What do we offer • Company 401(k) scheme, with a strong employer contribution, • Private medical insurance, Aetna PPO plan, • Life Insurance, • 20 days holiday per annum, • 2 Macrobond days to use for volunteering Our commitment to Diversity At Macrobond, diversity, equity, and inclusion are fundamental to our culture and success. We are committed to fostering an environment where all individuals are respected, valued, and empowered to contribute their unique perspectives. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law. By joining our team, you become part of an organization that believes diversity drives innovation and strengthens our collective performance. Apply today and be part of our ongoing journey of growth and inclusion. By using this website and submitting your information, you acknowledge ourCandidate Privacy Noticeand understand that your personal information may be processed in accordance with applicableCandidate Privacy Noticein your country of application. Apply today and become part of our exciting journey!

Job DescriptionAbout the Role We are seeking an exceptional quantitative researcher to lead our intraday equities alpha team. You will focus on discovering and modeling short-horizon statistical signals across large equity universes, leveraging high-frequency market data and cross-sectional relationships. This role is ideal for candidates with a strong background in signal research and a deep understanding of market microstructure. What You'll Do • Develop and test short-term alpha signals using high-frequency (tick-level and order book) data across global equity markets., • Analyze inter-symbol dynamics, liquidity patterns, and cross-sectional dependencies to identify transient inefficiencies and arbitrage opportunities., • Conduct rigorous backtesting and performance attribution across large baskets of equities in a fully systematic environment., • Collaborate with engineering and trading teams to deploy and monitor strategies in live production., • Continuously refine signal stability, robustness, and decay profiles across changing market regimes.What We Look For, • 5+ years of experience in alpha research or quantitative signal development, ideally in intraday or short-horizon equity strategies., • Deep understanding of market microstructure, order flow dynamics, and execution-related features that affect signal quality., • Strong programming skills in Python and/or C++, and fluency in working with large-scale high-frequency datasets., • Experience in cross-sectional modeling and statistical arbitrage frameworks across equities., • Advanced degree (MS/PhD) in a quantitative field such as mathematics, physics, statistics, computer science, or related disciplines.Nice to Have, • Experience with production-level alpha deployment in global equity markets (US, CN, APAC, EMEA)., • Familiarity with execution-aware signal design (slippage modeling, alpha decay, trade-to-book impact)., • Track record of successful signal ideas contributing to live PnL.Summary, • You'll work on short-horizon predictive modeling using high-frequency cross-sectional signals across equities. You won't manage execution or risk, but you'll work closely with teams who do. If you're passionate about alpha and fluent in market data, this role is for you. Pay Range: • Actual salary is commensurate with candidate's relevant years of experience, skillset, education and other qualifications. Base salay USD $125,000.00 - USD $500,000.00/Yr.

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 Trexquant is seeking a highly skilled Senior Data Architect to design and lead the next-generation architecture for our research and simulation data ecosystem. This role is central to unifying Trexquant’s extensive collection of datasets—sourced from hundreds of vendors—into an accessible, efficient, and scalable data platform that supports simulation, research, and alpha generation across multiple asset classes. The successful candidate will architect the end-to-end data infrastructure that enables researchers and simulators to seamlessly discover, query, and combine datasets across equities, futures, FX, ETFs, corporate bonds, and options. This person will design data models, storage systems, and researcher-facing interfaces that make it easy to transform raw vendor data into structured, analysis-ready forms—empowering systematic research and robust backtesting. Responsibilities • Architect and implement a unified data platform that integrates hundreds of vendor datasets, providing consistent, accessible, and high-quality data to simulators and researchers., • Design efficient storage and retrieval systems to support both large-scale historical backtesting and high-frequency research workflows., • Develop intuitive researcher interfaces and APIs that allow users to easily discover variables, explore metadata, and assemble data into standardized stocks × values matrices for rapid hypothesis testing., • Collaborate closely with quantitative researchers and simulation teams to understand their workflows, ensuring the data platform meets real-world analytical and performance needs., • Establish best practices for data modeling, normalization, versioning, and quality control across asset classes and data vendors., • Work with infrastructure and DevOps teams to optimize data pipelines, caching, and distributed storage for scalability and reliability., • Prototype and deploy internal data applications that enhance research productivity and data transparency., • Mentor and guide data engineers to maintain robust, maintainable, and well-documented data systems. Requirements • 7+ years of experience in data architecture, quantitative research infrastructure, or large-scale data engineering in a financial or research-driven environment., • Proven experience designing and implementing scalable data storage solutions (e.g., columnar databases, time-series systems, object stores, or data lakes)., • Strong proficiency in Python and familiarity with modern data stack technologies (e.g., Parquet, Arrow, Spark, SQL/NoSQL, distributed file systems)., • Deep understanding of time-series and financial data modeling, including handling multiple vendors, instruments, and frequencies., • Experience building data interfaces, APIs, or tools that serve researchers, data scientists, or quantitative analysts., • Ability to translate research needs into efficient data schemas and access patterns., • Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field., • Strong collaboration, communication, and documentation skills., • Competitive salary plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment., • PPO health, dental, and vision insurance premiums fully covered for you and your dependents., • Pre-tax commuter benefits., • Weekly company meals. Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary range is $175,000 - $200,000 depending on the candidate’s educational and professional background. Base salary is one component of Trexquant’s total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer.

Job DescriptionImmediate Start - Quant Researcher – Systematic Commodities Hedge Fund Moreton Capital Partners is rapidly expanding and seeking a talented Quantitative Researcher to join us in our Mexico City office to sit alongside a world class, international team. This is a high-impact role from day one. You'll take full ownership of designing, testing, and refining the next generation of alpha signals in commodity futures, with your models feeding directly into live trading portfolios. Our research is grounded in advanced machine learning, robust testing frameworks, and deep expertise across global commodity markets. We're looking for someone ready to hit the ground running and available to start immediately. In return, we offer a competitive salary, substantial performance share, comprehensive benefits, incredible work environment and a relocation package to make the move seamless. Key Responsibilities • Research, prototype, and validate systematic trading signals across commodities using advanced ML methods., • Design and implement rigorous backtests with realistic frictions, walk-forward validation, and robust statistical tests., • Engineer and evaluate novel features from prices, fundamentals, positioning, options data, and alternative datasets (e.g., satellite, weather and global commodity cash pricing)., • Blend multiple alpha forecasts into meta-models and portfolio signals, leveraging ensemble and Bayesian methods., • Develop portfolio construction and optimization techniques and analysis tools to be able to enhance performance and track effects on portfolio execution., • Collaborate with developers to transition research into production-ready strategies., • Masters or PhD in either Statistics, Economics, Computer Science., • Strong background in machine learning and statistical modelling (tree-based models, regularization, time-series ML)., • Proficiency in Python (pandas, NumPy, scikit-learn, XGboost, PyTorch/TensorFlow)., • Understanding of time-series forecasting, cross-validation techniques, and avoiding look-ahead bias., • Academic experience in research and proven ability to translate academic work to production code., • Prior exposure to systematic trading or financial modelling., • Ability to design experiments, interpret results, and iterate quickly in a research environment. Bonus points for: • Knowledge of commodities (agriculture, energy, metals) or macro markets., • Experience with feature engineering on non-traditional datasets (options positioning, weather, satellite)., • Experience collaborating in version control environments., • Familiarity with portfolio optimization, risk parity, or Bayesian model averaging., • Direct impact: Your alphas will go live into production portfolios, with real capital behind them., • Research-first culture: We value deep thinking, novel approaches, and systematic rigor., • Close collaboration across a global team., • Career growth: Clear trajectory to senior researcher roles as we scale AUM and expand product lines., • Attractive compensation: Highly competitive base salary and annual bonus that scales as the business grows., • Relocation package to our Mexico City office, along with a competitive benefits offering that includes health and life insurance, a year-end bonus, and generous paid time off., • Positive, inclusive and encouraging work environment.

A leading dating app company in New York is seeking a Lead UX Researcher to enhance user experiences globally. The successful candidate will be responsible for leading research strategies that drive product development and champion inclusive design. The role requires 6+ years of user research experi

Job Description Job Title: Senior Program Evaluator (PhD) Job Summary: CASES is seeking an experienced Senior Program Evaluator to support our Court Services and Pretrial Services departments. Our Pretrial Services work, delivered through the Manhattan Supervised Release Program (MSRP), serves approximately 8,000 individuals annually; primarily Black participants with diverse needs, including youth, people experiencing homelessness, and those with mental health or substance use challenges; all navigating active court cases in the community. This role leads to rigorous, equity-centered research and program evaluation, applying advanced quantitative, qualitative, and mixed-methods approaches to generate actionable, policy-relevant insights. The evaluator serves as a principal investigator on complex studies, partnering with senior leadership to develop and monitor key performance indicators, design evaluation frameworks, and translate findings into evidence-based strategies that strengthen program effectiveness and advance equitable outcomes. The ideal candidate is a proactive, PhD-level researcher with strong analytic and methodological expertise, exceptional writing and communication skills, and a demonstrated ability to lead complex evaluation projects from design through dissemination in mission-driven environments. Salary: The salary for this role is $115,000 per year. Shift Hours: This position is full-time working Monday through Friday from 9:00 am to 5:00 pm. Location Address: 25 Chapel Street, 11th Floor, Brooklyn, N.Y. 11201. Our office is easily accessible by public transportation. Workplace Flexibility: Remote role with regular, consistent onsite work at our community-based Offices in Brooklyn, Jamaica (Queens), Harlem, and South Bronx, and at the Manhattan Criminal Court and Supreme Court, to facilitate data collection, build stakeholder relationships, or attend trainings. What you will be doing: • Build deep expertise in Court and Pretrial Services and in the internal and externally contracted by NYC research & evaluation portfolio, partnering with program staff to co-design and implement timely, decision-useful evaluation and learning activities., • Apply an anti-racist, equity-centered evaluation lens in practice by embedding equity standards into all research and evaluation activities, partnering with staff and participants to define questions and measures, disaggregating and interpreting data to identify disparities and drivers, using culturally responsive, trauma-informed and participatory methods, and translating findings into concrete reports, presentations, and engagement tools that advance equity., • In partnership with the Managing Director, and in collaboration with Senior Directors, Directors, and Executive leadership, contribute to the development, strategic planning, and implementation of research and evaluation activities that align with priorities and meet program and organization needs., • Serve as the principal evaluator and independently design and lead quantitative and mixed-methods research and evaluation projects in collaboration with diverse stakeholders, selecting appropriate methodologies and engagement strategies to generate actionable findings that strengthen service delivery, organizational learning, and outcomes., • Execute end-to-end evaluation workflows, including extracting, managing, cleaning, merging, and analyzing administrative datasets using statistical software (e.g., Stata), to produce accurate, well-documented analyses that help staff to understand the implementation, service delivery, and outcomes., • Design and lead standalone qualitative research and evaluation (e.g., interviews, focus groups, and open-ended survey work), to generate direct insight into participant and staff experiences, implementation barriers/facilitators, and service quality, producing rigorous qualitative findings that stand on their own and strengthen interpretation of quantitative results., • Partner with program and cross-functional teams (Data & Analytics, Mission Advancement) to ensure data accuracy and translate research and evaluation findings into clear, practical insights, building staff confidence through accessible briefs, presentations, and facilitated discussions that support shared understanding., • Work strategically and collaboratively across CASES and with external experts in pretrial services, bail reform, and the populations CASES serves, to ensure the research and evaluation activities are grounded in the political, social, and community context of the work, as well as informed by the broader NYC, statewide, and national bail landscape., • Proactively identify and advance opportunities for new or expanded research and evaluation projects within Court Services and Pretrial Services, and across other CASES programs serving similar populations — focused on reducing pretrial detention and engaging participants in services that address their needs and vulnerabilities and reduced involvement in the criminal legal system. What we are looking for: • Doctoral degree in statistics, sociology, psychology, criminology, applied research methods, or a related discipline, plus at least 2-3 years of full-time, relevant research and program evaluation experience., • Experience in using Stata statistical software to analyze complex, large-scale datasets, including administrative, criminal legal history, and case record data., • Exceptional writing skills, with experience conducting evaluation in a nonprofit setting in partnership with frontline and management staff, as well as with individuals impacted by the criminal legal system., • Demonstrated ability to partner respectfully and effectively with program staff at all levels, approaching evaluation as a service to operations. Brings humility and an engaging orientation—recognizing frontline and management staff as subject-matter experts and the primary customers of the work—by producing timely, responsive, and practical analyses that reflect the realities of the work., • Please submit a resume/CV and a cover letter highlighting your evaluation experience (quantitative and/or qualitative methods), stakeholder collaboration, and approach to equity-centered evaluation. Applicants invited for an interview may be asked to provide a presentation during the interview process. Employee Benefits: CASES cares about employee wellbeing, and we offer a comprehensive benefits package to support you and your family, including: • Medical, • Dental, • Vision, • Vacation and Paid Time Off – starting at 25 days, • 12 Paid Holidays per year., • Retirement 403(b) Competitive matching up to 6%., • Employee Referral Program Our Values At CASES, we like to move with PURPOSE, which reflects our values: PEOPLE| Hold people’s stories with dignity UNITY| Commit to a shared mission RESPECT| Celebrate the strength of diversity PROGRESS| Always work to improve OPTIMIZE| Make the best use of resources SOLUTIONS| Work together to solve problems EMPATHY| Seek to understand others Although we would love to learn about the skills of every candidate, only selected candidates that are selected will receive a response. We encourage you to apply for any position(s) you feel you are qualified for. CASES is proud to be an Equal Opportunity Employer. Employment with CASES is based solely on qualifications and competence for a particular position without regard to race, color, ethnic or national origin, age, religion, creed, gender, sexual orientation, disability, or marital, military, or citizenship status. We also actively recruit individuals with prior involvement in the criminal legal system. Monday - Friday, 9am to 5pm 35 hours per week excluding breaks

A decentralized technology firm located in New York is seeking a Senior Researcher with expertise in economics to design and optimize mechanisms for permissionless blockchains.

Job DescriptionSunshine Sachs Morgan & Lylis is a leading global communications agency built to navigate the complexities of a hyper-connected world. We represent the icons and innovators shaping culture—from global heritage corporations and high-growth tech startups to the non-profits, creative legends, and visionary founders who define the global discourse. Our expertise spans the full cultural spectrum. We operate at the intersection of entertainment, social impact, corporate reputation, and consumer lifestyle, executing seamlessly across traditional media, social-first outlets, brand partnerships, and influencer ecosystems. Whether we are navigating complex crisis management, elevating advocacy campaigns, or launching global consumer brands, we are storytellers at our core. You may notice our digital presence is purposefully understated. While our clients are global household names, we believe the best work happens when the spotlight stays firmly on those we represent. We fly under the radar by design - preferring to let our campaigns, and our results, speak for themselves. If you're driven, intentional, and ready to do good, we're ready for you! Sunshine Sachs Morgan & Lylis has an immediate opening for a high-energy, multidisciplinary Junior Account Executive to join our Talent and Influencer Integration team in New York. You have had a solid start in the industry—about 1–2 years of experience, including high-level internships—and you are ready to apply your skills at the intersection of global media and digital culture. We are looking for a modern storyteller who is culturally obsessed and mission-driven. You understand that in 2026, the lines between traditional celebrity and the creator economy have blurred. You have the curiosity to identify emerging trends, the writing skills to draft a persuasive pitch, and the organizational rigor to ensure our fast-paced NYC accounts run with total professional poise.The Role: • Active Storytelling Support: Assist in the research and development of 360-degree talent and creator strategies. You move from building talent lists to drafting active pitches, helping to secure wins across lifestyle, entertainment, and social impact verticals., • Creator Economy & Social Radar: Act as the team’s eyes and ears on the social zeitgeist. You are responsible for daily monitoring of platforms and news cycles to flag pop culture moments, creator shifts, and competitor news that our clients need to know about., • Stakeholder & List Architecture: Own the foundational data that fuels our work. You will build and maintain meticulously researched talent and influencer recommendation lists, media contact sheets, and status documents that reflect the actual modern landscape., • Modern Content Creation: Draft the first versions of creative briefs, talent itineraries, press releases, and social briefs. You are learning to translate complex brand missions into clear, platform-agnostic narratives that capture the attention of talent reps and creators., • The Engine of the Account: Manage the daily essentials of your accounts—agendas, meeting recaps, activity reports, and budget trackers—with total precision. You ensure the Account Executive and Manager have the data they need to lead with confidence., • On-the-Ground Logistics: Provide essential support for NYC-based talent events, influencer activations, and content shoots. You handle the logistics—check-ins, RSVP management, and on-site talent wrangling—with a professional and solution-oriented attitude., • Relationship Driven: You recognize that the talent business is built on trust and authenticity. You lead by example in every interaction—prioritizing integrity and professional poise from day one with co-workers, talent reps, and the media.Who You Are:, • The Emerging Hybrid Specialist: You have 1–2 years of experience in communications, entertainment, or PR. You are a jack-of-all-trades who is eager to take on more ownership and wants to be at the center of the global impact and media landscape., • Digitally Fluent: You live on social media and understand the creator economy. You know which platforms are driving conversation right now and can translate that knowledge into a smart pitch or brainstorm idea for a client., • The Meticulous Researcher: Your research skills are elite. You don't just find names; you find the "why" behind a creator’s connection to a brand. You are comfortable using research tools to find and secure the perfect partners for a campaign., • A Strong, Fast Writer: You are a concise and creative writer with an eye for detail. You understand how to take a brand story and turn it into a clear, compelling narrative for any platform., • High EQ & Proactive Spirit: You possess high EQ and situational awareness. You know how to communicate effectively with senior staff, handle the high-velocity NYC environment, and maintain a calm demeanor under pressure., • Driven to Over-Deliver: You take genuine pride in the accuracy of your work. You are energized by the challenge of being part of something good and helping to bring cultural moments to life in a way that exceeds expectations.Benefits x PerksWe go well beyond the benefits that you’re looking for like medical, dental, and vision plans, 401(k) with matching, annual merit-based bonuses, PTO, fertility, FSA for medical, childcare, and commuter expenses. Eligible employees at Sunshine Sachs Morgan & Lylis may access these benefits, along with many additional perks including, a flexible work schedule, Work from Anywhere program, Summer Fridays, Wellness Days, and a 4-week sabbatical or trip to celebrate select anniversaries. We love to socialize so, we have collaborative workspaces, some offices even have rooftops, celebrations, networking opportunities, and community volunteering. We frequently mark opportunities to listen, learn and act throughout the year (Juneteenth, Election Day, International Women’s Day, etc.). SSM&L is committed to diversity, equity, inclusion, and ability. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, identity and expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. There’s more!From day one, employees are carefully matched with a mentor to guide them on their path to success. Training and mentoring are a big deal here and since we are into promoting from within, we make sure to provide more than enough tools for you to learn and grow. We are proud to offer training throughout the year on topics for professional growth as well as personal growth. We have also developed a series of teaching workshops that are structured for each level of the company. Sunshiners also take love to take advantage of the monthly Meet the Industry series where industry thought leaders provide valuable insider info on how to work with them and their colleagues.

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. Spring Health is looking for a Senior UX Researcher whose work will inform the experience for people who are seeking mental healthcare for themselves and their families. You will join a highly engaged cross-functional Product team, focused on and measured by outcomes, and empowered to drive key performance indicators and business results. You are a hands-on, collaborative researcher who is excited to take ownership and drive impact as a member of our growing UX Research team. Please note that this is a hybrid role based in New York City, with an expectation to be in office 2-3 days a week. Our office is located at 60 Madison Avenue. What you'll be doing: • Design and implement research throughout the product lifecycle, from early stage discovery and strategic research through iterative prototype testing and post-launch measurement, • Proactively collaborate with design, product, clinical, and commercial teams to define a research roadmap that answers high impact product and strategy questions, • Build on past research and evolve insights over time, driving impact by effectively communicating findings to cross-functional partners and stakeholders, • Conduct research that informs decisions to help Spring Health achieve core business goals and reduce waste by building the right thing faster., • Research insights are used to inform decisions that measurably impact key company metrics, • Empower teams to build empathy and deeply understand the humans and organizations who use Spring Health's products, • Bachelors, Masters, or PhD in Human-Computer Interaction, Information Science, Psychology, Cognitive Science, Anthropology, or related field, OR equivalent experience in an industry setting, • 5+ years proven track record conducting UX Research with product teams - designing, running, and reporting on your own studies, • Expertise in qualitative and quantitative user research methodologies including when and how to apply them during each product phase, • Demonstrated ability to make measurable impact, turning insights into action with excellent facilitation, consensus building, persuasion, and presentation skills, • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

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

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in scenario design, structured writing, digital workflow simulation, task creation, quality review, and complex real-world problem design. This role supports current and upcoming remote consulting opportunities focused on designing realistic digital environments, creating complex agent-facing tasks, developing structured personas, reviewing task performance, and documenting high-quality scenario work. Selected professionals will apply their writing, analytical, and creative judgment to build realistic workplace-style scenarios that test reasoning, prioritization, information filtering, and multi-step task execution. Key Responsibilities Professionals in this role may contribute to: Persona & Digital Environment Design • Build richly detailed personas, workplace contexts, communication histories, and simulated digital environments, • Create realistic digital workspaces involving tools such as Gmail, Slack, Calendar, WhatsApp, Google Drive, Airtable, and related productivity systems, • Develop layered scenarios involving competing priorities, scheduling conflicts, incomplete information, stakeholder needs, and realistic professional constraints, • Write challenging tasks that require reasoning, prioritization, information retrieval, judgment, and careful execution, • Design tasks that test how well an agent navigates complex digital workflows across files, messages, calendars, and structured data, • Create structured hints, evaluation notes, expected outcomes, and supporting documentation, • Run agent workflows against created scenarios and evaluate task performance, • Provide structured guidance, feedback, and quality notes based on observed performance, • Document work clearly in structured tools such as Airtable, Crucible, JSON editors, or similar platforms Strong candidates may have: • 2+ years of professional experience in writing, editing, content strategy, product work, project coordination, consulting, client success, operations support, curriculum design, UX research, simulation design, or related roles, • Strong written communication skills and high attention to detail, • Ability to create layered, realistic scenarios with clear logic and believable professional context, • Comfort working independently with structured tools, task guidelines, and documentation systems, • Ability to spot inconsistencies, edge cases, missing context, and information-quality issues, • An undergraduate degree is helpful, • Backgrounds in writing, communications, journalism, English, design, education, business, psychology, computer science, data analysis, project management, or related fields may be relevant, • Experience as a copywriter, UX writer, journalist, content strategist, editor, creative writer, curriculum designer, simulation designer, game designer, UX researcher, consultant, project manager, account manager, client success professional, event coordinator, or producer, • Familiarity with JSON, Airtable, Crucible, Jira, Asana, AI platforms, structured data tools, SQL, Python, or technical documentation workflows, • Experience building realistic professional scenarios, multi-stakeholder workflows, training materials, simulations, task specs, or complex written environments, • Strong systems thinking and ability to understand how professional workflows unfold across messages, files, calendars, and competing priorities, • Apply creative writing, systems thinking, and structured scenario design skills to remote project work, • Contribute to high-quality digital simulations, complex task design, and agent workflow evaluation, • Work on flexible assignments aligned with your writing, coordination, product, or analytical background, • Use your judgment in a focused, creative, detail-oriented review environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time or extended availability depending on project needs, • Competitive rates between $70–$130 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: .

Job Description Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future! If you are craving to learn something new every day while working at the cutting edge of AI, or if you are simply not satisfied with your academic AI ambitions anymore, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious AI/NLP researcher as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! RESPONSIBILITIES MINIMUM QUALIFICATIONS • MSc. or PhD degree in AI/NLP, • 4+ years of experience with Python, • Good grasp of fundamentals and the state-of-the-art in AI/NLP research, • 4+ years experience developing models with machine learning frameworks such as PyTorch, • Work authorization in the USA at the time of hire, • Continuing work authorization during employment can be sponsored by Verneek PREFERRED QUALIFICATIONS • Experience in Natural Language Understanding, Semantic Parsing, Dialogue Systems, • Experience in Transfer Learning and learning with limited data, • Publications in top-tier AI venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, etc., • Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production, • Experience in building models in the commerce/retail domain Benefits Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our introductory videos and yearly recaps here: . Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: . We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact. Annual Salary Range: $40K-$200K

Job DescriptionAbout Us Nourish is on a mission to improve people's health by making it easy to eat well. More than half of Americans have a chronic condition related to what they eat, and poor nutrition is the number one driver of preventable death. Health is the most important thing in the world, and yet our society is sicker than it has ever been due to unhealthy modern lifestyles. Nourish is addressing this healthcare crisis by helping people eat better, more easily, with our food-as-medicine platform. The Nourish mobile app provides a comprehensive approach to wellness through personalized visits with Registered Dietitians, health progress tracking, personalized content, meal logging, recipe/meal planning, AI chat, and more. We already have thousands of dietitians and hundreds of thousands of patients on the platform. Our patients span a wide range of nutrition-related conditions including diabetes, eating disorders, kidney disease, GI conditions, cancer, obesity/weight management, cardiovascular disease, and more. We are live in all 50 states. We are growing quickly, have partnered with national health insurance companies and provider groups, and have raised over $44M from top-tier VCs including Index Ventures, Thrive Capital, Maverick Ventures, Y Combinator, and Box Group, amongst others. Our angel investors include world-class healthcare founders from Oscar, Rightway Health, Headway, Spring Health, and Alto Pharmacy, as well as soccer star Alex Morgan and the founders from Olipop and Notion. Learn more about us in TechCrunch here and read about our recent Series A here. About the Role We're looking for a Staff User Researcher to lead strategic research across Nourish's patient and provider ecosystems. You'll uncover insights that guide product direction, improve clinical and patient experiences, and shape how nutrition care is delivered at scale. This is a senior individual contributor role for someone who's comfortable working autonomously on ambiguous, high-impact questions—equally strong at fieldwork and at influencing senior stakeholders. You'll partner closely with design, product, and clinical leadership to ensure every decision is grounded in a deep understanding of both sides of our marketplace: patients seeking help and dietitians providing care. This person will join our small design team and report directly to our Head of Design. We care deeply about our work, but we try not to take ourselves too seriously. We believe that empathy, trust, and collaboration are what drive the best outcomes and that work can feel like play! This role is full-time in NYC (in-person candidates only), with flexibility for some remote work. Nourish has an NYC office in the heart of Silicon Alley. Check out 'EPD at Nourish' to learn more about our team! Key Responsibilities • Lead research strategy across patient, provider, and internal tooling experiences, defining the learning agenda that informs company-level priorities, • Conduct generative and evaluative research to explore user needs, motivations, and friction points across the full care journey, from onboarding through long-term engagement, • Shape product direction by translating research insights into clear, actionable opportunities for product, design, and clinical operations, • Develop frameworks and mental models that clarify how patients and dietitians interact, and where Nourish can deliver differentiated value, • Mentor and guide cross-functional partners (designers, PMs, and data analysts, clinical, marketing, PPM) on research best practices, helping to scale the research mindset across the org, • Partner with data science and clinical ops to triangulate qualitative and quantitative insights, surfacing patterns in behavior, retention, and outcomes, • Tell compelling stories that bring our constituents to life through artifacts, workshops, and strategic narratives that influence at the leadership level, • Champion an inclusive approach to research that represents diverse users and ensures accessibility and equity in the patient experienceKey Qualifications, • 8–12+ years of applied user research experience in high-growth product organizations (consumer, health tech, telehealth, or two-sided marketplaces strongly preferred), • Mastery of core qualitative methods (interviews, field studies, concept testing, journey mapping, usability testing) and strong fluency with complementary quantitative methods, • Demonstrated success driving strategic impact—influencing product or business direction, not just validating existing ideas, • Experience researching service-oriented or clinical workflows, ideally in healthcare, wellness, or B2C/B2B2C contexts, • Exceptional communication and storytelling ability; you make insights tangible and drive alignment through clarity and empathy, • A track record of mentoring or coaching researchers or designers, elevating the overall craft bar, • Fluency in research tooling (Dovetail, Airtable, UserTesting, Maze, Amplitude, etc.), • Graduate degree in Human-Computer Interaction, Cognitive Psychology, Anthropology, or related field (or equivalent hands-on experience)Nice to Have, • Experience working in a regulated or clinical domain, navigating privacy and compliance constraints with creativity, • Familiarity with insurance and healthcare systems in the US, • Comfort balancing speed and rigor in a startup environment, • Experience with remote, asynchronous collaborationWhat Success Looks Like, • Research insights directly inform Nourish's product roadmap and care model evolution, • Leadership looks to you as a thought partner for framing the big questions, • Product teams consistently rely on research to shape what they build and why, • The organization develops a shared, evidence-based understanding of its users: patients, providers, and internal stakeholders

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