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We are looking for a Senior Data Engineer to join our Advertising Product & Technology organization. Our teams are charged with scaling Spotify's Free Product and our Podcast Monetization Mission. You will work directly on an array of product features, advertiser publishing tools, and insights and reporting functionalities. You will collaborate with our cross-functional teams to ideate, develop, and own complex technical solutions on our fast-paced podcast and ad services technology platforms. Our team at Spotify looks for candidates that share our common interest in distributed backend systems, their scalability, and continued development. In this role, you will closely collaborate with our internal customers to figure out the best API and backend system design to scalably meet their needs. You will build the backend systems that power our application, scale highly distributed systems, and continuously improve our engineering practices. Above all, this work will impact how the world experiences music. \n What You'll Do • Maintain and enhance Spotify’s reporting pipelines ensuring they remain business-critical., • Build large-scale batch and real-time data pipelines for efficient collection, processing, and storage of measurement-related data., • Make enhancements to data models and ETL code to improve pipeline efficiency and data quality., • Work closely with stakeholders to understand business requirements and translate them into technical solutions., • Write scalable, testable, maintainable, and high-quality code., • Collaborate with engineers, product managers, and other stakeholders, embracing learning and leadership opportunities daily., • Monitor daily execution, diagnose issues, and ensure SLAs are met by maintaining and fixing business-critical pipelines., • Write distributed, high-volume services and know how to deploy and keep them running in production. Who You Are • Proven experience working with high-volume, heterogeneous data, ideally within distributed systems such as Hadoop, BigTable, Cassandra, GCP, AWS, or Azure, • Familiarity with data processing frameworks like Scio, GCP Dataflow, AWS EMR, and Apache Beam., • Strong programming skills in Python, Java, or Scala., • Commitment to agile software processes, data-driven development, reliability, and responsible experimentation., • Hands-on experience with orchestration tools like Airflow or similar., • Excellent problem-solving and communication skills. Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be within the North American region as long as we have ___, • We offer you the flexibility to work where you work best! For this role, you can be within the North American region as long as we have, • This team operates within the EST time zone for collaboration. \n The United States base range for this position is $160,091- $228,702 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build—from flagship playlists like Discover Weekly and Daily Mix to entry points like Home and Search. The Next Generation Sessions (NextGen) product area within PZN is reimagining listening beyond the playlist. We invent cutting-edge personalized sessions like AI DJ, AI Playlist, Blend, Jam, and vertical feeds for discovering music and podcasts. Our team of ~100 engineers, scientists, product managers, and domain experts in music, podcasts, and voice collaborate across New York, Boston, London, Stockholm, and remote locations from Eastern US through Central European time zones. As an Associate MLE / AI Engineer in NextGen, you’ll be part of a cross-functional team inventing new AI-powered listening experiences. You’ll explore emerging AI capabilities, prototype end-to-end products, and help bring new features from concept to launch to millions of users. This is a fast-paced, high-growth role ideal for someone early in their career who is eager to learn by building, collaborate closely with senior engineers and researchers, and stay at the forefront of AI applied to music and talk content. If you're passionate about the intersection of AI and music and podcasts, obsessed with exploring new AI capabilities, and excited to shape the future of audio, bring your ideas—we’ll invent the next generation of audio together. • Rapidly prototype, iterate, and ship AI-powered music and podcast recommendation experiences using the latest capabilities of LLMs, agent frameworks, and Spotify’s recommender systems, • Continuously explore and evaluate new models, tools, libraries, and product trends—bringing fresh ideas into the team from the frontiers of AI and open-source innovation, • Promote and model best practices in AI engineering—including the use of LLMs and agents to power products, advanced evaluation strategies, and AI-assisted coding tools, • Leverage AI coding assistants to rapidly prototype full-stack MVPs, • Collaborate with cross-functional partners—including design, user research, product, data science, tech research, and engineering—to bring new ideas from concept to launch, • Develop a keen eye for software quality, learning to critically evaluate AI-generated code to ensure it meets Spotify's high standards for correctness, performance, and engineering best practices, • Grow your skills with access to Spotify’s comprehensive career development resources and encouragement to develop across disciplines, • Build a strong foundation and culture in AI engineering by leveraging the state of the art, learning from mentors, pairing with Staff engineers, and shipping code that reaches hundreds of millions of users, • You’re a full-stack AI prototyper: building your own projects with modern AI tools, experimenting fast, and iterating based on feedback, • You’re fully plugged into the AI ecosystem—active in online communities, exploring open-source repos, reading papers, trying every new tool you can get your hands on, • You think end-to-end, across the stack—from designing user interactions, to wiring up backends, to building models, to deployment considerations—because you want to see ideas come to life, • You have a working knowledge of machine learning fundamentals and hands-on experience with Python, Java, or Scala and modern ML frameworks like PyTorch or TensorFlow, • You have familiarity fine-tuning and evaluating LLMsYou have familiarity building workflows that integrate LLMs and data into autonomous, multi-step workflows, • You have experience crafting prompts to get the results you’re after. You know how to write, improve, and test your prompts to extract value out of LLMs, • You understand the importance of critically reviewing AI-generated code for correctness, quality, and alignment with best practices, • You may have studied AI formally—or you may have taught yourself through hands-on building and deep curiosity, • You thrive in collaborative, interdisciplinary environments and are eager to learn from more experienced engineers, • You’re good at communicating technical topics to less technical peopleYou bring contagious enthusiasm, a creative mindset, and a strong drive to shape the future of AI-powered products, • This role is based in New York.

SignalFire is the first VC firm built like a technology company to better serve the needs of founders as they build and scale their startups. With approximately $3B in assets under management, SignalFire invests in applied AI companies from pre-seed to Series B in key sectors, including healthcare, cybersecurity, infrastructure, consumer, and other enterprise verticals. The firm’s Beacon AI platform tracks over 650M employees and 80M organizations, giving the firm an unmatched data advantage in identifying and supporting world-class startups. Its sector-focused investors and a dedicated team of seasoned operators drive SignalFire at startup speed. They provide support across a company’s full lifecycle through data and resources tailored by growth stage, plus a diverse ecosystem of partners and customers. Notable investments include ___, Grammarly, Grow Therapy, EvenUp, and Stampli. Learn more at ___ Learn more at Signalfire is looking for an exceptional engineer who is passionate about building robust data infrastructure that powers complex analytical workflows, machine learning processes, and data-intensive web application. As our data engineer, you will work closely with our investment, portfolio, talent team, and the rest of our engineering organization to build best-in-class tools that help us explore potential investment areas and support our portfolio companies. * Building industry-standard backend architecture and data pipelines for our AI platform, Beacon which helps our firm invest in the best startups in the market * Procuring and evaluating potential new data sources in service of identifying, diligencing, and supporting startups * Build and maintain scalable, maintainable data transformation pipelines using Python, Spark, dbt, apache/airflow to power the whole company's data science and analytics needs * Stand up new low-latency data processing infrastructure to provide clean data to machine learning models * Improve workflow orchestration and automation processes for existing systems * 2 to 6 years of experience working as a data engineer * A solid conceptual grasp (and preferably hands-on experience with) orchestration frameworks like Airflow, Dagster, Prefect, or similar * Experience with ETL, data processing, pipelining, and sanitizing * Experience working on complex data pipelines using SQL, Redshift, Python, dbt * Experience building backend infrastructure and architecture required to power frontend features * Understanding of data modeling strategies for both transactional and data warehousing workloads * Exceptional problem solving, analysis, decomposition, and communication skills applied within an agile development environment * BS/MS in statistics, computer science, economics, or a similarly quantitative field * Takes pride working on large projects from scratch to completion * San Francisco Bay Area or New York based In addition to working directly with our team at the forefront of a hybrid human + technology investment approach, you’ll also work closely with founders to help them solve major problems. Our culture is one that breeds creativity and impact and puts you in control of your own destiny. * End-to-end ownership: Engineers at SignalFire own the full stack—from data acquisition and model development to infrastructure and product delivery. This extends beyond code; you'll work directly with the investment team, gaining insight into how your work shapes strategic decisions. * Empowered decision-making: We’ve cut the bureaucracy of big companies but kept their resources. Have a strong idea? Pitch it. You’ll get budget and ownership. We move like a startup but execute with the discipline of a mature company. * Versatile technical expertise: We value engineers who blend startup agility with enterprise depth. You'll wear many hats—tuning infrastructure one day, refining algorithms or designing features the next—building a skillset rarely found elsewhere. * Creative autonomy: At SignalFire, creativity isn’t just valued—it’s essential. We tackle problems without clear precedents, where sharp judgment and innovation matter more than technical orthodoxy. Success means balancing analytical rigor with a bias to ship, learn, and iterate. You can read more about life on the engineering team here: ___ You can read more about life on the engineering team here: USD 170k-270k base salary/year based on experience + Carried Interest

Imprint is building a next-generation co-branded credit card company to serve America’s great brands. Some of our partners include H-E-B, Turkish Airlines, Brooks Brothers, and Eddie Bauer. Imprint is backed by Khosla Ventures, Kleiner Perkins, and Thrive Capital. We are focused on building a brilliant team who want to change payments and who embody our ___ The Data Analytics team at Imprint builds the data foundation that powers smarter, faster decision-making. We develop infrastructure and analytics systems that support both daily operations and long-term strategy, enabling high-quality insights into customer behavior, product performance, and business growth. Our work helps teams across Imprint make informed, data-driven decisions at scale. You’ll be part of a high-trust, high-impact team where your work won’t just be seen—it’ll shape how we grow. * Apply statistical inference, experimentation, and behavioral analytics to improve LTV/CAC and accelerate feedback loops. * Be a champion of A/B testing. Partner with cross-functional teams to design, analyze, and interpret A/B tests correctly, rigorously measuring impact with scalable frameworks and data tooling. * Build segmentation frameworks and predictive models to drive targeting and personalization. * Translate data into clear narratives that influence product decisions, marketing campaigns, and executive strategy. * Support Automation projects as needed—e.g. anomaly detection, partner data reporting, or internal self-serve tools/dashboards. * 6+ years of experience in data science, analytics, or a related field—ideally at a high-growth startup or fintech company. * Proven expertise in statistical inference, causal analysis, and experimentation design. * Experience with marketing or product analytics (e.g., user segmentation, campaign attribution, experimentation). * Strong SQL and Python skills. You are comfortable transforming raw data to build your own data sets if the measure you need doesn't exist yet. * A highly analytical mindset with a bias toward action. * Ability to clearly communicate complex findings to technical and non-technical audiences alike. * Comfortable owning projects end-to-end and collaborating cross-functionally to drive impact. * Experience building or scaling experimentation infrastructure. * Familiarity with dashboarding tools (e.g., Sigma, Looker). * Experience in credit, lending, or card products. * Exposure to lifecycle marketing or prescreen modeling. * Competitive compensation and equity packages * Flexible vacation policy * Fully covered, high-quality healthcare including fully covered dependent coverage * Additional health coverage includes access to One Medical and option to enroll in an FSA * 16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents * Access to industry-leading technology across all of our business units — stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let’s move the world forward, together.

Office Location: Lower Manhattan, NY Accrete is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology. At the core of our offerings are our AI agents, designed to autonomously analyze data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and also empower government entities to enhance security, intelligence, and operational efficiency We are looking for a talented Machine Learning Engineer to join our Engineering team and contribute to the evolution of our AI products. Responsibilities: • Design, develop, and optimize machine learning models and pipelines for deployment in production environments., • Build scalable and efficient ML infrastructure to support data ingestion, model training, evaluation, and deployment., • Collaborate with data scientists, engineers, and research to integrate ML solutions into Accrete’s platform., • Implement best practices for model performance monitoring, versioning, and retraining., • Work with cloud-based platforms and distributed computing frameworks to improve system efficiency., • Optimize feature engineering, data preprocessing, and training workflows to improve model accuracy and efficiency., • Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or a related field., • 5+ years of experience in designing and deploying machine learning models in production., • Strong programming skills in Python and proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn., • Experience with cloud platforms (AWS preferred) and containerization technologies (Docker, Kubernetes)., • Proficiency in distributed computing frameworks like Spark, Ray, or Dask., • Experience with MLOps tools and techniques, including CI/CD for ML, model versioning, and monitoring., • Familiarity with large-scale data processing, data engineering principles, and feature stores., • Experience with reinforcement learning, NLP, or deep learning applications., • Knowledge of graph-based ML, generative AI, or other advanced ML techniques., • Exposure to edge AI and model optimization techniques (e.g., quantization, pruning). The salary range provided reflects the estimated compensation for this role based on the expected qualifications and experience level. The final offer may vary depending on factors such as skills, experience, and alignment with role requirements. Core Values & Expectations: Impact You take full ownership and accountability for your work, consistently seeing projects through from inception to completion with a strong bias for action. Proactively identifying challenges, you drive solutions rather than waiting for direction, and hold yourself and others to the highest standards for delivering results. With strategic thinking and a problem-solving mindset, you make informed decisions leveraging data and expertise, always looking for ways to improve processes, optimize workflows, and enhance outcomes beyond your immediate responsibilities. Collaboration You work seamlessly across teams, prioritizing shared goals and team success over individual credit. Engaged listening and open, candid communication are at the heart of your approach, ensuring alignment and synergy throughout the organization. You value diverse perspectives, seeking input from others to drive better results. By treating colleagues with respect and professionalism, you help build a culture of trust, supporting each other through challenges, celebrating successes, and constructively addressing conflicts to strengthen relationships and improve outcomes. Passion for AI & Innovation You are deeply excited about the transformative potential of AI and committed to contributing to a company shaping the future of work. With curiosity and a growth mindset, you continuously seek to learn, adapt, and stay at the forefront of new developments. Your enthusiasm for innovation drives you to explore new ideas, challenge the status quo, and find creative solutions that deliver meaningful impact. You approach your work with energy and a desire to advance both technology and the way we work. • Competitive Salary: Aligned with experience and market standards., • Comprehensive Insurance: Health, dental, and vision coverage to keep you and your family secure., • 401(k) Plan: Build your financial future with our retirement savings plan., • Flexible PTO & Hybrid Work: Take time off when you need it and enjoy remote flexibility per company guidelines., • Growth & Development: Access professional development, learning opportunities, and career advancement support., • Onsite Perks: Enjoy catered lunches, snacks, and a stocked kitchen., • Team Bonding: Company-sponsored happy hours and social events to connect and unwind.

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, ___ aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. About This Opportunity Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting-edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you! We are looking for a Senior AI Solutions Engineer to join our customer-facing team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey This position is based in New York, NY, and open to candidates in Boston, MA, and the Washington, D.C. area. What You Will Do • Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals., • Deliver compelling demos, workshops, and proof-of-concepts (POCs) across the H2O.ai platform (Driverless AI, Feature Store, EnterpriseGPT, Wave, h2oGPT, LLM Studio, ML Ops, and open-source tools)., • Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)., • Showcase hands-on expertise with LLMs: fine-tuning, evaluation, RAG pipelines, guardrails, and LLMOps best practices., • Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem., • Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure production readiness., • Work closely with Product Management to influence product roadmap based on customer and field insights., • Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.What We Are Looking For, • 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms., • Strong hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms., • Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration., • Ability to design and explain AI/ML solution architectures to both technical and executive stakeholders., • Strong programming skills in Python (preferred), with familiarity in R or Java., • Excellent presentation and communication skills: confident in front of C-level executives and technical teams., • Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus., • Willingness to travel up to 50% to support strategic accounts.How to Stand Out from the Crowd, • Experience running POCs, pilots, and executive workshops that accelerate AI adoption., • Familiarity with enterprise security, compliance, and governance in AI deployments., • Demonstrated thought leadership (talks, blogs, open-source contributions)., • Vertical domain expertise (e.g., BFSI, telco, pubic sector, manufacturing, retail).Why H2O.ai?, • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team, • Career growth H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit______ to learn more.

mParticle by Rokt is widely recognized as one of the leading customer data platforms, serving hundreds of global brands and helping them turn data to insights and insights to action. Built on top of end-to-end streaming architecture, we are committed to empowering businesses to deliver personalized and engaging experiences to their customers across all screens and devices. We believe that the opportunity to help teams activate insights from their customer data to deliver more relevant and adaptive experiences is more important than ever. In January 2025 mParticle merged with Rokt and became mParticle by Rokt. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions, connecting 400 million customers across the world’s leading companies. We are Rokt, a hyper-growth ecommerce leader. We enable companies to increase value by unlocking real-time relevancy in the moment that matters most, when customers are buying. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions connecting 400 million customers across the world’s leading companies. In January 2025, Rokt’s valuation increased to $3.5 billion USD, allowing us to expand rapidly across 15 countries. The Rokt engineering team builds intelligent infrastructure and platforms that power mission-critical services. At this scale, excellence in reliability, performance, and developer experience is non-negotiable. At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for a Senior Data Scientist / Machine Learning Engineer Total Compensation between: $300,000-$375,000, which includes a fixed annual salary between $200,000 - $250,000, employee equity plan grant & world class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. About the Role: As a Senior Data Scientist / Machine Learning Engineer on the Identity team, you will play a critical leadership role in shaping and advancing our identity solutions. You will drive data-driven strategies, lead complex analyses for entity resolution, and collaborate cross-functionally to enhance the quality, effectiveness, and scalability of our identity systems. • Spearhead complex analyses applying advanced statistical methods and machine learning techniques to large-scale identity data, uncovering actionable insights to significantly improve the effectiveness and quality of our identity solutions and drive initiatives to completion, • Independently identify, scope, and champion high-impact opportunities for innovation within the identity space, developing novel analytical approaches and data-driven strategies., • Test and run experiments to determine impact on model relevancy, • Define key metrics for tracking the health and performance of identity systems; Design, build, and maintain robust data pipelines to support machine learning model deployment and large-scale data processing for identity use cases, • Conduct proactive analysis, modeling, and automation of improvements to entity resolution in areas such as geography, linkage, fraud detection, and risk assessment., • Partnering closely with product and engineering teams to develop the strategy for evolving our identity graph, • 6+ years of industry experience as a Data Scientist (or 3+ years with a PhD), including significant work with identity, fraud, or security data, • Master’s degree in Statistics, Econometrics, Machine Learning, or related fields., • Demonstrated project leadership, mentorship, and ability to tackle highly ambiguous technical and business problems, • Strong knowledge of online AB testing and experimentation, • Strong knowledge of Python 3 (data science libraries) and SQL;, • Experience with distributed computing frameworks, particularly Spark is preferred, • Experience with Kubeflow is preferred, • Understands prompts for AI and is comfortable with using AI to improve day to day productivity, • Experience with identity-focused data science projects (e.g., authentication, fraud, user verification, KYC)., • Strong analytical / modeling experience tied to business outcomes, • Applied use of visualization tools such as matplotlib, seaborn, tableau, Python visual libraries, • Experience with common Python data science libraries such as pandas, numpy and scipy As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency, and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Accelerate your career. We offer roadmaps to leadership and an annual training allowance, • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office., • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents., • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

This position is posted by Jobgether on behalf of Taskrabbit. We are currently looking for a Staff Data Engineer in California (USA) and New York (USA). Join a remote-first team where data is at the heart of every decision. In this role, you'll lead the development and optimization of the company’s data infrastructure, helping shape the architecture and data models that empower teams across engineering, product, operations, and analytics. You'll work closely with cross-functional stakeholders to translate business needs into scalable data solutions. This is a highly impactful position where technical leadership, mentorship, and collaboration are key to driving a culture of data excellence. Accountabilities: • Design, build, and maintain scalable and reliable ELT pipelines using tools such as dbt, Airflow, and Fivetran., • Develop robust data models, semantic layers, and data marts to enable self-service analytics across the organization., • Lead architectural decisions and influence the evolution of the company’s data platform for scalability and maintainability., • Partner with non-technical stakeholders to understand business needs and deliver clear, actionable metrics and analytics tools., • Champion best practices in data quality, documentation, observability, and data governance., • Mentor team members and promote excellence across data engineering and analytics functions., • Maintain orchestration workflows and ensure real-time and batch data processes meet performance expectations., • 7+ years of experience in data engineering, with deep knowledge of modern data stack tools like dbt, Airflow, and Snowflake (or equivalents)., • Strong SQL skills and proficiency in at least one programming language such as Python, Java, or Scala., • Expertise in building and maintaining cloud data warehouses and data pipelines to support analytical and operational workloads., • Solid background in data modeling (dimensional/star/snowflake schemas) and experience with BI tools like Looker, Tableau, or Mode., • Familiarity with streaming platforms (Kafka, Kinesis) and DevOps tools like Terraform for infrastructure-as-code., • Ability to work cross-functionally and translate complex business requirements into scalable data solutions., • A collaborative mindset, strong communication skills, and a track record of mentoring peers in data best practices., • Base salary range: $136,000 – $180,000, plus bonus and equity components., • Remote-first company with flexibility to work from anywhere in California or New York., • Generous paid time off, including two company-wide closure weeks annually., • Employer-paid health insurance and 401(k) match with immediate vesting (U.S. employees)., • Wellness, productivity, and education stipends; IKEA discounts and product stipends., • Inclusive culture with leadership committed to equity, representation, and allyship., • Opportunities for growth and impact within a collaborative and purpose-driven environment. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

The Data Solutions/Transpose team is an exciting new member of the Chainalysis family, working to deliver a cutting edge blockchain intelligence platform used by the world’s foremost intelligence, law enforcement, tax, and regulatory agencies, alongside many market leaders in the private sector. Our technology is used to automate and simplify solutions to complex investigations, provide real-time threat actor monitoring, give insight into the topology of threat landscapes, and much more. As a Senior Data Scientist, you’ll lead the design and curation of all of the data assets that are provided to our customers within our product to execute on these mission areas. You will be responsible for interacting directly with our customers, understanding unmet mission needs, and translating this into the development and improvement of data assets that leverage the data produced by dozens of other teams across Chainalysis, as well as datasets that we purchase from external providers. You’ll help us to raise the bar on data quality, by working closely with Data Engineers to implement reliability, trustworthy pipelines and automated data quality checks. In aggregate, the work that you lead will provide our customers with the ability to derive powerful and unique insights that are used to drive global investigatory efforts, trans-national threat actor monitoring, national security enhancements, and much more. In this role, you’ll: * Work directly with our customers, their account teams, and our product management function within Chainalysis, to deeply understand customer focuses and mission areas. With this in mind, you’ll then work with other Data Scientists to identify opportunities to further assist our customers by creating or improving existing data assets. * Work with our Data Engineers to implement pipelines that create these data assets in a scalable, trustworthy, and accurate way. * Create and maintain methodologies to ensure that data assets we create are maintainable, observable, and do not develop regressions over time. * Work with other teams across Chainalysis to ensure that we are tracking the right ‘building block’ datasets to build these data assets on top of. * Ensure that our landscape of data assets is standardized, self-explanatory, well-documented, easily usable, and the linkage between customer mission area and relevant data assets is clear. * Conduct data analysis and customer/stakeholder conversations to understand the success of customers with our data, and our product. * Experiment with new methodologies to derive powerful conclusions from the hundreds of terabytes worth of datasets we already have accessible in our platforms. * Manage the lifecycle of data assets (customer-facing launches, changes, deprecations, etc.) * Have a significant impact on the landscape of national security, international law enforcement, and promoting safe adoption of cryptocurrency in the mainstream. We’re looking for candidates who have: * Strong development experience in Python * Excellent SQL Skills * Knowledge of SQL database technologies Nice to have experience: * Experience designing and launching customer-facing data assets * Experience working with blockchain/crypto data * Experience with Databricks * Experience with PySpark/Spark SQL/DLT * Experience with Apache Flink Technologies we use: * Python * SQL (PostgreSQL, Databricks SQL Warehouses) * Databricks (Spark SQL, DLT, PySpark) * Kafka * Google Cloud Platform About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. Some of the ways we’re ensuring we keep learning are an internal Diversity Committee, Days of Reflection throughout the year including International Women’s Day, Harvey Milk Day, World Humanitarian Day, and UN International Migrants Day, and a commitment to continue revisiting and reevaluating our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more ___. We can’t wait to meet you.

N1 Health is an AI Platform company that helps healthcare organizations prioritize, action, and maximize patient and member interactions. N1 Health’s market-leading Applied AI Platform provides healthcare companies with pre-packaged models, curated third party data, and a secure and scalable technology platform that enables the deployment of targeted services at the individual, household, and neighborhood level. Data science-driven insights lead to relevant, specific, and help-first interventions that optimally connect individuals to resources based on their specific needs and the capacity of the system. Only 20% of a person’s health outcomes are driven by their interactions with the health care system, the remaining 80% are driven by external factors. We’re working to empower our customers to utilize data science and digital technologies to better serve their most vulnerable members and patients. We’re passionate, creative, and motivated and looking for team members who are the same. We are enthusiastic learners and believe fundamentally that this is a two-way street - we’ll invest in your learning and growth, just as you’ll advance the company’s mission and support our clients through your work. Role Overview We are seeking a skilled and motivated Machine Learning Engineer to join our Software Engineering team. In this role, you will play a crucial part in working alongside data scientists, data engineers, and other software engineers to scale up our ML model development tooling to serve our growing business ___ will assist our team of data scientists to allow them to develop scalable models independently and that the models can be monitored for performance. This role operates with a high degree of autonomy and an important say in the growth and direction of our engineering group and product strategy. An ideal candidate has prior experience shipping a model into a production environment end-to-end, comfortably acting as a mixture of software engineer, data scientist and data engineer. • Work closely with our machine learning and data science teams to understand their requirements and contribute to the development of scalable ML model frameworks., • Pair with data scientists to troubleshoot model performance issues in terms of both latency and prediction quality., • Prototype and demo new machine learning tooling functionality for data scientists, • Design, implement, and maintain infrastructure for ML model testing and deployment., • Leverage cloud platforms and containerization technologies to ensure scalability and flexibility., • Implement automation processes for seamless integration of ML models into the development pipeline., • Maintain and extend monitoring solutions to track the performance of ML models in real-time., • Ensure compliance with industry standards and regulations related to data science and ML., • Lead the model infrastructure components and prioritization on our product roadmap, • 2+ Years of Machine Learning Engineering or MLOps experience, • Bachelor's or Master's degree in Computer Science, Mathematics, or related field., • Proven proficiency in utilizing MLOps tools (SageMaker, MLflow, etc.) to deploy, monitor, and manage models in production environments., • Strong proficiency in Python and SQL, with plenty of familiarity using popular libraries for machine learning (e.g. scikit-learn, XGBoost, LightGBM, PyTorch) and data manipulation (e.g. Pandas, NumPy, Polars, DuckDB, Dask)., • Experience applying software engineering best practices to both greenfield and brownfield development (e.g. testing, CI/CD, containerization, observability), • Excellent technical communication and collaboration skills, with a passion for being at the helm of challenging problems in a fast-paced environment., • Deep passion for applying cutting-edge machine learning and AI technologies to improve healthcare outcomes and patient experiences., • A self-starter who thrives in ambiguous, fast-paced environments and takes ownership of solving complex problems end-to-end., • Prior experience working with healthcare data, predictive models, or clinical workflows is a strong plus., • Comfortable working in cloud-based environments, with familiarity in AWS services and modern ML tooling., • Hands-on experience with Infrastructure-as-Code (Terraform), automation, and scripting languages such as Python and Bash., • Strong skills in data visualization and dashboarding tools (Apache Superset, Grafana) for communicating insights effectively., • Understanding of CI/CD/CT pipelines, version control (Git), and MLOps best practices., • ·Familiarity with workflow orchestration frameworks like Airflow or Prefect for managing data and ML pipelines., • Experience in Natural Language Processing, leveraging Python libraries such as NLTK, spaCy, or Hugging Face Transformers., • Exposure to the Go programming language for performance-oriented components., • Knowledge of containerization technologies like Docker for building, packaging, and deploying scalable ML applications.$95,000 - $170,000 a yearBonus. Equity.If you are excited about a role but your experience doesn’t seem to align perfectly with every element of the job description, we encourage you to apply. You may be just the right candidate for this, or one of our many other roles. We celebrate diversity and are committed to creating an inclusive environment for all ___ Health is proud to be an Equal Opportunity Employer. Our vision is to foster an environment in which all N1 Health employees of diverse backgrounds and identities feel supported and empowered through the ongoing development of a shared, inclusive culture. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics.

ABOUT FANDUEL FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product. In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). THE POSITION Our roster has an opening with your name on it FanDuel is looking for a Senior Data Analyst to play a pivotal role in growing the experimentation function within the Sportsbook Commercial team. You will help to accelerate the scalability and sophistication of best-in-class experimentation practice while maintaining standardization of processes across teams. The Senior Analyst will partner with several commercial stakeholders and will be responsible for designing and analyzing experiments that help to answer key business questions. This person will have the opportunity to be a part of designing technical solutions that support FanDuel’s ability to test and learn at scale, driving a strong culture of data informed decision making. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play • Own end-to-end delivery of experiments (e.g., A/B/n, multivariate, multi-armed bandit), including design, execution and analysis, ensuring best practices and statistical rigor are met across all stages., • Be a key partner to Sportsbook Commercial teams in advancing our understanding generosity and customer value proposition. Work closely with analytical teams to gather insights and develop testable hypotheses driven by these insights., • Provide thought leadership in experimentation capabilities development. Partner with teams across the organization (Product, Data Science, MLE, etc.) to implement scalable, modular solutions., • Mentor junior analysts to help build their technical skills, such as statistical analysis, coding best practices., • Drive FanDuel’s test-and-learn mindset across teams by promoting the value of experimentation, sharing results transparently, and encouraging iterative improvement. THE STATS What we're looking for in our next teammate • 3+ years of experience in data focused role such as data science, analytics or research., • Bachelor’s degree in Math, Economics, Computer Science or similar domain., • Experience designing and running A/B/n experiments in a fast-paced environment. Familiarity with advanced testing techniques (multi-armed bandit, synthetic controls) a plus., • Advanced experience with SQL, Python and/or object-oriented programming. Experience with Databricks, including packaging code and app deployment a plus., • Strong problem-solving skills, with ability to work through ambiguity and deliver solutions to business problems., • Commercial acumen: understanding of P&L, business principles and commercial levers, • A “can-do” attitude and the type of person who constantly looks for solutions and better ways of operating, • Knowledge of sports and/or experience working within a heavily regulated industry is a plus, • Don’t check all the boxes? That’s okay! We encourage you to still apply if you feel like you possess an adjacent skill set and are interested in learning more about this position. PLAYER BENEFITS We treat our team right We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits, pet insurance, and more - check out all our benefits here: ___. *Benefits differ across location, role, and level. FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or another other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. The applicable salary range for this position is $94,000 - $117,500 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws. #LI-Hybrid

___ is a creative tool for growth. Our mission is to help businesses grow — without huge investments in tooling or manual labor. We’re already helping over 100,000 people grow their business with Clay. From local pizza shops to enterprises like Anthropic and Notion, our tool lets you instantly translate any idea that you have for growing your company into reality. We believe that modern GTM teams win by finding GTM alpha—a unique competitive edge powered by data, experimentation, and automation. Clay is the platform they use to uncover hidden signals, build custom plays, and launch faster than their competitors. We’re looking for sharp, low-ego people to help teams find their GTM alpha. Why is Clay the best place to work in New York? * Customers love the product (100K+ users and growing) * We’re growing a lot (6x YoY last year, and 10x YoY the two years before that) * Incredible culture (our customers keep applying to work here) * Well-resourced (raised a ___ expansion in January 2025 from investors like Sequoia and Meritech) Read more about why people love working at Clay ___ and explore our ___ to learn more about the product. In this role, you’ll join our growing infrastructure team in building and fine-tuning our infrastructure to keep our services running smoothly. We’re looking for someone who’s excited about automation and continuous improvement. While your main focus will be on infrastructure, coding skills are a must. As a growing startup, we all jump in where needed, so you’ll need to be comfortable taking on a variety of roles. * Architect, design, implement, and manage robust, scalable, and secure infrastructure solutions. * Develop, maintain, and enforce best practices for CI/CD, infrastructure as code, and automation. * Oversee the management and optimization of cloud infrastructure, ensuring high availability, performance, and cost-efficiency. * Implement monitoring, logging, and alerting solutions to maintain system health and quickly resolve issues. * Lead incident response efforts, troubleshooting and resolving complex issues in a timely manner. * Participate in an oncall rotation. * Work with teams across the company to ensure we achieve the right balance of developer velocity, reliability and performance, and cost efficiency. * 5+ years of experience * Experience with containerization and orchestration tools * Strong understanding of CI/CD concepts and tools * Knowledge of infrastructure automation tools * Experience with oncall and incident response * Proficiency in one or more programming languages * Familiarity with our stack or ability to learn unfamiliar technologies quickly: * Aurora Postgres RDS, Elasticache Redis, Docker + ECS, Lambda, OpenSearch * Terraform and Atlantis * CircleCI, Netlify, Playwright * Cloudwatch, Datadog, Mezmo * Typescript, Python

Ramp is a financial operations platform designed to save businesses time and money. Combining corporate cards with expense management, bill payments, vendor management, accounting automation, and more, Ramp's all-in-one solution frees finance teams to do the best work of their lives. More than 30,000 companies, from family-owned farms to e-commerce giants to space startups, have saved $1B and 10M hours with Ramp. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables over 35 billion dollars in purchases each year. Ramp's investors include Sequoia, Founders Fund, Thrive Capital, Khosla Ventures, Greylock, Stripe, Goldman Sachs, Coatue, and Redpoint, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp has been named to Fast Company's ___ list and LinkedIn's ___ for over 3 years, as well as the Forbes ___, CNBC ___, and TIME Magazine's 100 ___. About the Role We’re looking for someone to help lead the future of data science at Ramp. In this role, you will help define the product and operational roadmaps for how Ramp users onboard and activate. You will partner closely in Ramp’s development process through product ideation, experimental design, implementation, execution, and analysis. You will partner closely with Ramp’s operational teams to improve internal processes, build playbooks, and recommend actions. Ultimately, we will depend on you to improve the Ramp customer journey by leveraging your advanced analytics skills and business context, enabling us to get 1% better every day. What You’ll Do * Develop Ramp’s product research and experimentation frameworks, from hypothesis development and experimental design to implementation and analysis * Contribute to Ramp’s product roadmap by working closely with stakeholders throughout the lifecycle of prioritization: from complex and nebulous business context, to well-defined objectives, to a roadmap of scoped opportunities for leveraging data science to drive business results * Leverage advanced statistical approaches to solve customer problems, and perform deep analysis against large and complex product data sets * Partner with cross-functional product, engineering, and design teams to influence decision making across Ramp * Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way What You Need * Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Data Scientist * Strong python experience (numPy, pandas, sklearn, etc.) across exploratory data analysis, predictive modeling, and applications of ML techniques to business problems * Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) * Proven leadership and a track record of shipping improvements with growth and product organizations * Strong perspective on the experimentation lifecycle (hypothesis generation, experimental design, implementation, statistical analysis, A/B testing best practices) * Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions Nice to Haves * Experience at a high-growth startup * Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Census or equivalents) * Familiarity with data orchestration platforms (Airflow, Dagster, Prefect) * Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development) * 100% medical, dental & vision insurance coverage for you * Partially covered for your dependents * One Medical annual membership * 401k (including employer match on contributions made while employed by Ramp) * Flexible PTO * Fertility HRA (up to $5,000 per year) * WFH stipend to support your home office needs * Wellness stipend * Parental Leave * Relocation support to NYC or SF * Pet insurance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Automation AI Security Engineer Brooklyn, NY Onsite Description: The resource’s function is essential to securing the City of New York’s systems for the MyCity Portal development project. Specifically, this resource will help aid in the automation of the Project's Artificial Intelligence (AI) capabilities with other cybersecurity tools. This requires the testing and hardening of the AI ecosystem through well-designed frameworks designed to protect the City of New York's systems and data from emerging cyber-attacks. MyCity is a single portal for all City services and benefits. The vision is a simple, seamless, and intuitive experience interacting with City government digitally. It is designed with New Yorkers at the center of the process to prioritize features by conducting user research. MyCity produces value for New Yorkers, early and often through phased releases. There are several phases within the MyCity portal workstream (Child Care, Business Portal, Workforce Development Services and others). One such phase has been the inclusion of artificial intelligence (MyCity Chatbot) into the platform to enhance New Yorker's ability to leverage the platform. OTI Cyber Command is looking for additional support as the cyber threat landscape continues to evolve and Citywide cybersecurity solutions are deployed in large, complex networked environments. The needed resource skill set is specialized in: working with software development teams to ensure the security and responsible use of AI applications by providing automation guidance at various stages of planning and implementing security design, processes and solutions, and, testing and validation. The resource will have significant interaction with NYC Cyber Command leadership, its engineering, architecture, and application security teams, incident response and other cyber security practitioners. TASKS: ● Design and implement AI-powered solutions that enhances the security posture of tools across multiple platforms. ● Develop security content for tools and technologies that the Threat Management team relies on to ensure business as usual functioning. ● Design and deploy machine learning models for threat detection, incident response, and security orchestration. ● Integrate innovative and custom technology to improve accuracy of alerts and notifications received by teams within Threat Management. ● Create well documented and clearly articulated code, process and services documentation. ● Understanding REST and SOAP API usage and implementing solutions utilizing APIs from Cyber Command utilized solutions, that enhance detection and response capabilities of the Threat Management. ● Handle special projects and initiatives as assigned. ● Perform various types of tests such as functional testing, regression testing, performance testing, and usability testing to evaluate the behavior and performance of the AI algorithms and models. MANDATORY SKILLS/EXPERIENCE: ● Bachelor’s degree in computer science, electrical or computer engineering or related field, or equivalent work experience. ● Ability to leverage REST API’s to build tool and platform integration. ● Proficient in git version control and git life-cycle development. ● 8+ years of hands-on experience in cybersecurity or information security and Python development. ● Demonstrated ability to write test scripts, automate test cases, and analyze test results using programming languages and testing frameworks. ● Ability to work independently to learn new technologies, methods, processes, frameworks/platforms, and systems. ● Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences. ● Ability to stay updated on the latest developments, trends, and best practices in both software testing and artificial intelligence. DESIRABLE SKILLS/EXPERIENCE: ● Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment. ● Understanding of public cloud platforms and experience with utilizing platforms such as Azure, AWS or Google Cloud. ● Experience working in a security environment and/or supporting security teams from a technical standpoint. ● Ability to work collaboratively in an interdisciplinary team environment. ● Highly flexible/willing to learn new technologies. SPECIAL REQUIREMENTS: Normal on-prem business hours Monday-Friday 35 hours/week (not including mandatory unpaid meal break after 6 hours of work).

As an AI Engineer at Regard, you’ll play a key role in developing and deploying AI-powered features that enhance physician workflows and improve patient care. You’ll be instrumental in integrating large language models into our platform—building scalable, reliable systems that deliver real value in clinical settings. Working closely with product, design, and engineering teammates, you’ll help prototype, implement, and refine innovative features that push the boundaries of what’s possible in healthcare. Your primary focus will be on building and maintaining production-grade AI systems using best practices—leveraging tools like LangChain, vector databases, and retrieval-augmented generation techniques. You’ll bring hands-on experience in prompt engineering and LLM development, helping the team accelerate feature delivery and deepen our AI capabilities. In this role, you’ll also contribute to a culture of learning by sharing practical insights and collaborating closely with teammates. You’ll have the opportunity to grow your own expertise while helping the team move faster and build smarter, more reliable systems. About Regard Our mission is to bring world-class healthcare to everyone. Regard is the world’s first comprehensive, automated diagnosis tool. Regard streamlines clinical and revenue cycle efforts to dramatically improve hospital finances, patient safety, and physician happiness. We are excited by challenges, mission-oriented work, and meaningful relationships. We work closely with some of the top health systems in the country and are leading the change that healthcare - one of the largest and most inefficient industries in the world - needs. We want you to join us. • Lead the design and implementation of production-grade AI systems and tooling, • Architect and deploy AI systems using frameworks like LangChain, vector databases, RAG techniques and prompt management, tracing, and benchmarking tools, • Perform prompt engineering to optimize the output for LLM-based tasks, modify LLM system designs to add more functionality or improve the performance of our AI agents or tasks, • Mentor and level up engineering team members on AI agent development, system design, and production AI best practices, • Design architectures that improve end-user response times and reduce both algorithmic and AI-based latency and cost using appropriate prompting techniques, • Collaborate with product and design teams to rapidly prototype and iterate on AI-powered features while maintaining engineering quality standards, • Own end-to-end delivery of AI systems, from conception through production, deployment, and monitoring, • Navigate technical ambiguity and make architectural decisions that balance speed to market with system reliability and scalability, • BS in Computer Science or equivalent experience, • 4+ years of software engineering experience with demonstrated ability to build and ship products end-to-end, • 1.5+ years of hands-on applied AI experience, including extensive work with OpenAI or Anthropic LLMs in production settings, • Demonstrated proficiency in Python, • Proven experience building AI agents with expertise in prompt engineering, LLM pipelines, and optimization of latency, cost, and quality, • Experience with retrieval-augmented generation, context window optimization, chunking, semantic search, vector databases, and other technologies used in conjunction with LLMs, • Strong mentoring and teaching abilities to level up team members on AI system design and implementation, • Exposure to startup and/or high growth environments, • Background in ML techniques, including fine-tuning of models/LLMs and building evaluation and training datasets, • Experience in healthcare technology or other highly regulated industries, • Experience working with health technology, • Experience with machine learning systems, including building evaluation, training, and inference pipelines, and deploying custom-built ML models, • For this role, Regard is currently only considering candidates who are authorized to work in the US without visa sponsorship, and are within the New York City metro area, • We expect our Engineers to be in the office on Tuesdays and Thursdays. We may request more frequent in-office work during the onboarding period, • We will provide relocation assistance to anyone who does not already reside in the NYC metro area, • For those who enjoy working from our Manhattan office on a more regular basis, we offer catered lunches and other fun perks, • Additionally, hybrid employees have the flexibility to work from locations outside of their home office from up to 6 weeks per year, • Eligible for equity, • 99% employer paid health benefits (Medical, Dental, and Vision) + One Medical subscription, • 18 PTO days/yr + 1 week holiday break, • Annual $750 learning & development stipend, • Company-sponsored team retreat + social events

Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market. Curinos operates in a hybrid/remote model, and this position is fully remote in the United States or hybrid in the Greater New York or Boston metropolitan areas. Curinos is hiring a Senior Data Engineer to join our Data Platform team. This team owns the shared data ecosystem upon which our B2B SaaS applications are built. You’ll work with a diverse team of talented engineers, AI and ML scientists, and product managers to build our next generation data and AI platforms, support migration of products from legacy infrastructure, and help product engineering teams leverage the platforms to launch new products and build new genAI applications. As a company that specializes in data-driven insights, the reliability, scalability, and effectiveness of our data & AI platforms are integral to our product offerings. Responsibilities You'll work with product and engineering teams to: • Design, build, and maintain scalable and reliable data and AI platforms, including ingestion, storage, validation, governance, monitoring, and ELT patterns., • Implement data monitoring and pipeline observability., • Proactively identify opportunities and implement solutions to optimize pipeline operations and reduce manual work., • Develop and maintain ETL data pipelines for large volumes of data, writing clean, maintainable, and efficient code., • Maintain and evangelize high standards in software and data engineering best practices (SDLC, testing, scaling, performance)., • Proactively identify and implement new technologies and tools., • Conduct code reviews and provide feedback., • Support adoption of data platform tools and frameworks across teams., • Participate in agile ceremonies. Desired Skills and Expertise • Advanced proficiency in Python and SQL., • Required experience with Spark, including distributed computing and optimization., • Preferred experience with Databricks (Unity Catalog, Feature Store, Delta Live Tables)., • Extensive experience with data pipeline and workflow management tools (e.g., Airflow, Databricks, Glue)., • Strong understanding of data engineering best practices (ETL/ELT, monitoring, observability, validations)., • Experience with big data, scaling data processing, and distributed computing., • Production support experience., • Minimum 3+ years of professional experience (5+ years preferred)., • Self-discipline and eagerness to learn new skills, tools, and technologies., • Solid verbal and written communication skills. Why work at Curinos? • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from, • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!, • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!, • Learning and development tools to assist with your career development, • Work with industry leading Subject Matter Experts and specialist products, • Regular social events and networking opportunities, • Collaborative, supportive culture, including an active DE&I program We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at ___ and we’ll do everything we can to help. Inclusivity at Curinos: We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

Sia Partners is a next-generation management consulting firm. We offer a unique blend of AI and design capabilities, augmenting traditional consulting to deliver superior value to our clients. Counting 3,000 consultants in 19 countries, we expect to achieve USD 420 million in turnover for the current fiscal year. With a global footprint and expertise in more than 30 sectors and services, we optimize client projects worldwide. Through our Consulting for Good approach, we strive for next-level impact by developing innovative CSR solutions for our clients, making sustainability a lever for profitable transformation. Data-driven marketing has become a central element of strategy for many companies. At Sia Partners, we recognize the growing importance of data analysis in marketing, as it provides a deep understanding of consumer behaviors, optimizes marketing campaigns, and informs strategic decision-making. Our data marketing initiatives cover a wide range of domains, including luxury, energy, FMCG, banking, and insurance. Why Join The Sia Village? Excellence | Entrepreneurship | Innovation | Teamwork | Care & Support | Employee Wellbeing These are the ___ that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people. Your experience at Sia Partners will be enriched by a(n): • Entrepreneurial journey, • Career advocacy program that supports achieving professional development goals through guidance, and real-time feedback, • Continuous learning & development opportunities, • Diversity, equity, and inclusion programs with an ever-growing list of global affinity initiatives To support its growth, Sia Partners is recruiting a Data Scientist Consultant with strong expertise in Marketing, Client, and Product challenges. Attached to the Data Science BU of Sia Partners, you will support the operational teams and marketing departments of our clients in defining their data needs and analyzing their data using data science techniques. This support takes various forms: Data Analysis, Strategic Support, Machine Learning & Statistics, Data Engineering & DevOps, Data Visualization, Data Transformation & Acculturation... The use cases can thus be varied: • Customer Loyalty:, • Customer Segmentation: Deepen the understanding of customers. Identify homogeneous customer profiles using clustering techniques, thus enabling optimal personalization of marketing campaigns., • Predictive Marketing: Develop and implement predictive models to anticipate customer behaviors, optimize marketing campaigns, and support customer retention strategy., • Define hyper-personalized marketing plans., • Enhanced Customer Experience:, • Using NLP models, analyze the causes of dissatisfaction from customer feedback, and extract structured information., • Leverage the latest AI models to offer hyper-personalized customer experiences (Personalized products, Recommendation engines, Connected objects)., • Pricing & Product:, • Contribute to pricing strategy, product development, and assortment optimization, as well as enhancing cross-selling strategies., • Capitalize on Generative AI to boost the creation of innovative products., • Geomarketing & Open Data:, • Integrate open data and geomarketing data into analyses to optimize targeting and campaign impacts., • Understand and anticipate the performance of the retail network., • Supply Chain & Operations:, • Predict sales to adjust production and inventory., • Developing or enhancing our offerings through training, working groups, internal and external communications, and R&D work., • Enhancing the firm's visibility by contributing to the publication plan (sector blogs, studies, press releases...) and marketing events., • Supporting business development by helping to define needs and participating in commercial activities., • Graduated with a master's degree in engineering or business school with a specialization in data analysis, statistics, and marketing. Ideally, you have initial experience in data analysis in a marketing context., • Excellent programming skills in Python, SQL, and data modeling., • Good knowledge and mastery of Data Science and Machine Learning algorithms (supervised methods, unsupervised methods, clustering…)., • Strong interest in marketing challenges and a good understanding of the luxury, FMCG, energy, banking, and insurance sectors., • Excellent communication and project management skills, with the ability to lead projects from conception to completion., • Proficiency in BI tools (Power BI, Tableau, Qlik…) and Python visualization tools (dash, plotly)., • Knowledge of a Cloud environment is appreciated (GCP, AWS, or Azure)., • Professional proficiency in English is required., • Joining Sia Partners means:, • Working on high-impact missions in various sectors (Energy, luxury, transportation, retail, finance…)., • Benefiting from a wide range of trainings and certifications in data, ensuring constant skill updates., • Evolving in a stimulating and dynamic professional environment with high value-added missions and internal R&D topics., • Joining a company committed to climate transition. Compensation & Benefits • Salary + Annual Discretionary Bonus, • Healthcare coverage that includes medical, dental, vision and life insurance policies, • Generous time off, • Parental leave paid at 100% of base pay for all new parents regardless of gender, • Future Moms Program, • 9 Company Holidays + 1 Floating Holiday, • 401(k) matching, • College save-up plan & college loan repayment plan, • Monthly cell phone stipend, • Commuter Benefits Compensation for this role is between $122,000 to $129,000 per year. Actual compensation within that range will be dependent upon the individual’s skills, experience, qualifications, and market location Our Commitment To Diversity Diversity, equity, inclusion, and belonging (DEIB) are part of Sia Partners’ DNA. Thanks to our expertise in several sectors and our international growth, our teams include a variety of experiences and cultures. We’re confident that promoting DEIB creates an environment in which everyone can reach their full potential. Our global network, DEIB@Sia Partners, brings together our people worldwide to facilitate local and global progress, focused on the following areas: • Gender equality (global Gender Equality Index score of 93/100 for 2023), • LGBTQ+, • Race & Ethnicity, • Working Parents Sia Partners maintains its hybrid workplace arrangements and provides a flexible workplace environment that is driven by client and business/market needs. At this time, in-person requirements are issued by departments (Business Unit/Business Line) and vary by office location. Consultants are expected to have the ability to be flexible with work location depending on business needs and live within a reasonable distance to the office. Work Authorization & Sponsorship At this time, Sia Partners does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status). Sia Partners is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

OneTrack enables effortless logistics operations for the world's largest brands and logistics companies. We do this by deploying camera sensors and other data capture devices along with our mission control platform and AI agents across their operations. We think in decades, not VC-fund cycles, and we're committed to delivering real value to an industry that needs us right now. Every team member is laser-focused on growing the value of our scalable computer vision platform, expanding into new markets, industries, and use cases. Today, OneTrack is deployed in 100s of warehouses across North America working with companies like Kellanova, Ryder, Church & Dwight, ID Logistics, and many more. We're off to a big start, and we're doing it on our terms and timelines. About the Position: We are seeking a mid-senior level Software Engineer with 5-10 years of professional experience in backend development with Python (using FastAPI, Flask, or similar frameworks), AWS (particularly Lambda functions), and frontend development (React, JavaScript, CSS/HTML). This person will primarily be focused on OneTrack AiOn, our agentic AI platform that automates engineering, analysis, HR, and compliances processes in logistics operations. You will be hands on building agentic products that work in the real world interacting with tens of thousands of people every single day. • 2-5 years of professional experience in software engineering., • Strong proficiency in Python and experience with backend frameworks such as FastAPI or Flask., • Demonstrated experience building agentic systems on top of foundation models, • Strong experience in prompt engineering, tool design, and RAG, • Experience with AWS services, particularly Lambda functions., • Experience with SQL-like databases, • Proficiency in frontend development with React, JavaScript, CSS/HTML., • Solid understanding of software development principles, including version control (Git), testing, and continuous integration/continuous deployment (CI/CD) practices., • Excellent analytical and problem-solving skills., • Strong communication and interpersonal skills, with the ability to collaborate effectively with clients and team members., • Ability to manage multiple projects and prioritize tasks in a fast-paced environment. Preferred Skills: • Experience with Docker and Kubernetes., • Experience with data visualization tools and libraries., • Understanding of machine learning concepts and AI applications., • Knowledge of security best practices in software development. Note: This is a company that works harder than anyone else. We grind. We don't stop. This is not for everyone. If you want to be at the forefront of making AI run operations in the real world and solve complicated problems at scale with a lot at stake and a ton of responsibility, this is for you. If you are easily overwhelmed, don't have the confidence to own complex projects, or need others to delegate tasks and responsibilities to, this is not for you. • Base salary + bonus & stock options eligibility, • Health insurance, dental, vision, PTO days, • Flexible working hours and remote work options, • Opportunities for professional growth and development, • A collaborative and innovative work environment

Particle Health is revolutionizing healthcare data analytics and interoperability. Our mission is to unlock the power of medical records in an intelligent platform that focuses health back on the patient. Through our modern data platform, we enable healthcare innovators—ranging from value-based care providers and payers to digital health companies and health systems—to access standardized, real-time patient data. By bridging fragmented data silos, Particle empowers organizations to tackle critical use cases such as care coordination, risk stratification, patient identity management, and regulatory compliance with ease and precision. Our solutions of Snapshot, Signal, Navigator, and Workbench address the complex challenges of healthcare data analytics and interoperability, helping our customers transform data into actionable insights, improve patient outcomes, and streamline workflows. At Particle Health, our mission is to unlock the power of medical records in an intelligent platform that focuses healthcare back on the patient. We do that through connecting our customers to national and state medical record exchanges, which facilitates medical record sharing and interoperability. That also gives us access to arguably some of the best fully longitudinal data on millions of patients. Our energy is then spent organizing and processing that data, making that data useful in different settings. Powered by this data, we are building a data platform offering important clinical insights to our customers. Our customers are Healthcare AI companies building solutions, digital healthcare providers, payers, EHRs, and condition-specific platforms. At Particle Health, data is at the core of everything we do. As a Healthcare Data Architect / Senior Data Engineer, you’ll play a pivotal role in organizing and optimizing our data assets to meet the evolving needs of our customers and the healthcare landscape. With access to diverse datasets like EHR, prescription fills, and provider data, you’ll tackle some of the most complex and impactful challenges in healthcare data today. We’re specifically looking for senior-level professionals with hands-on experience working with healthcare data—especially EHR formats like CCDA, FHIR, and HL7v2. This role is about more than technical expertise—it’s about curiosity and collaboration. You’ll explore the depths of patient-level data to uncover opportunities and solve problems, asking critical questions that guide us toward delivering transformative insights. From identifying treatment adherence patterns to predicting gaps in care and developing risk scores, your work will have a direct impact on our customers' ability to improve patient outcomes. Your contributions will shape the foundational components of Particle’s data platform and analytics strategy, driving innovation and quality across our products. You’ll also work closely with cross-functional teams to ensure our data capabilities align with business goals, helping us achieve our mission of making healthcare smarter and more patient-focused. This is a hybrid role based in New York City. The team works in-office two days per week (Tuesdays and Thursdays), so applicants must be located within commuting distance and comfortable with in-person collaboration. As a Healthcare Data Architect / Sr Data Engineer your role will have three core focus areas: * Build and optimize efficient, scalable data pipelines for ingestion, transformation, and enrichment, powering Particle Health’s Platform. * Monitor, troubleshoot data issues, and ensure data availability, reliability, and scalability for the SaaS product. * Work with Product and Engineering leadership to develop product features and analyses that enhance our understanding of the data and its applications. * Implement data standards, policies, procedures, and best practices for data management, data quality, data security, and data privacy, ensuring compliance with internal and external regulations and standards. * Help design and evolve Particle’s data infrastructure to reduce toil, improve operational efficiency, and reduce processing cost. * Lead the design and development of a robust data architecture that guides data modeling, ingestion, processing, and data quality enabling data product development at Particle Health. * Design and develop conceptual, logical, and physical data models ensuring they meet the needs of our platform and customers and account for the data domains, structures, relationships, quality, security, and data privacy of the product. * Help address gaps in our data, identifying solutions, and improving reliability to establish a competitive edge and firmly cementing our data quality as a key differentiator of our platform. * Work cross-functionally with Data Engineering, Data Science, Product, and Engineering teams to align on architectural needs and enable the development of new features and analyses. * Partner with leadership to translate business requirements into scalable data solutions that provide insight and impact. This is a senior-level, hybrid role based in NYC. Candidates must have prior experience working with healthcare datasets and be comfortable collaborating in person 2x/week. * Extensive experience and domain expertise with healthcare data (especially EHR - CCDA, FHIR and/or Claims data, ADTs), including clinical applications and/or risk stratification. * Advanced technical skills, especially with Python, SQL, and Spark—these are core to our data stack and day-to-day engineering work. * Proven proficiency in building and optimizing data-intensive systems and pipelines. * Deep curiosity and critical thinking to explore and break down complex data sets to isolate key outcomes. * Effective communication skills to convey complex technical concepts to both technical and non-technical stakeholders. * Analytical thinking and interest in using metrics to improve decision-making and influence behavior. * Comfort with ambiguity. * A lifelong learner who has the demonstrated ability to pick up new skills quickly. * 8+ years of experience in data engineering with a strong background in data architecture and data modeling. * 5+ years of experience in data architecture, data modeling, data governance, and data analytics, preferably for SaaS products or cloud-based applications. * 5+ years of experience with healthcare data & formats (e.g., CCDA, FHIR, HL7v2, Claims, ADTs, Tuva Schema, OMOP). * Strong knowledge and skills in data modeling tools and languages and in designing data models for SaaS products or cloud-based applications. * Deep expertise in Python, with a deep understanding and hands-on experience in Spark for designing, optimizing, and scaling large-scale data processing pipelines, and proficiency in at least one SQL dialect. * Experience with data lake technologies (e.g., Databricks, Delta Lake), data storage formats (Parquet, Avro), query engines (such as Photon, Spark SQL), and both real-time streaming and batch processing, or equivalent technologies and frameworks. * Bonus if you’ve worked with healthcare analytics products or platforms, or contributed to clinical decision-making tools, risk models, or care gap identification. Why Particle Health? • Purposeful Work: Contribute to projects that directly improve healthcare access, empower providers, and enhance patient outcomes., • Collaborative Culture: Thrive in a mission-driven, curiosity-fueled environment where ownership and bold ideas are celebrated., • Flexibility & Balance: Enjoy unlimited PTO and a hybrid work schedule, giving you a mix of energizing, in-person collaboration, and remote work time. We also provide free lunch on Tuesdays and Thursdays when our team is in office!, • Bonus Program: Get rewarded for great work—our twice-a-year bonus program reflects both your contributions and our overall success., • Comprehensive Benefits:, • ~ 95% employer-paid health benefits for you and generous coverage for your family., • Employer-funded 401(k) contribution to help you build a secure future., • Mental health benefits to support your well-being., • Invest in Your Future: Receive employee equity, ensuring you share in the company’s success., • Family Support: Access 14 weeks of fully paid parental leave, so you can focus on what matters most. At Particle Health, your contributions don’t just impact the company—they shape the future of healthcare. Join us, and let’s make a difference together! Compensation Range: For this role, we’re targeting a salary range of $200,000–$222,000 annually, depending on experience and qualifications. If your background aligns more closely with a higher or lower level than the scope outlined here, compensation may vary accordingly. #LI-Hybrid At Particle Health, we believe diversity is a strength that drives and fuels our mission to transform healthcare. We are proud to be an equal opportunity employer and are committed to creating an inclusive, supportive environment where everyone can thrive. We welcome and celebrate individuals of all backgrounds, perspectives, and experiences, regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. Our commitment to diversity reflects our core values—integrity, curiosity, boldness, ownership, and persistence—and our belief that our differences make us stronger as a team and a company. For more info about Particle and our team, check out the resources & links included. For more info about Particle and our team, check out the resources & links included. Notice: Recruitment Scam Alert We’ve been made aware of attempts by scammers impersonating Particle Health or our team members to post fake job listings, conduct fraudulent interviews, or issue fake offer letters. These scams may involve: • Requests for personal or financial information, • Interviews conducted only via text or messaging apps, • Emails that don’t come from an @___ address, • Offers for jobs you didn’t apply for Please note: • We will never ask for money, gift cards, or personal financial details at any stage of our hiring process, • All legitimate communication will come from an official @___ email address, • Our hiring process always includes video interviews — never just text If you’re unsure about the legitimacy of a communication, don’t hesitate to contact us at ___. We’re here to help.

About Us: EvolutionIQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of ___ 3 years in a row! The Adventure: We're the leading AI Guidance Platform in the insurance industry today, working with some of the largest insurance carriers in the US and expanding globally. We are growing incredibly fast and have a nearly 100% success record in converting pilots to production deployments. You will be designing on a shared, unified platform that can scale across multiple lines of business. Our engineering culture values simplicity, core engineering principles, quality, honesty, transparency and strong collaboration. If you’re excited to work on a fast-moving enterprise engineering team using the latest technologies at high scale, we want to meet you. About You: An ambitious AI engineer, you will have the opportunity to make a large impact on our industry-leading medical synthesis product. You display a high degree of ownership and have a history of driving projects to completion from ideation through deployment. You enjoy working at a fast-paced startup and excel in that environment. You stay up to date on the latest AI research and are excited by the idea of incorporating it to provide better outcomes for users. In this Role You Will: • Design, build, and deploy AI features to an industry-leading claim synthesis product, including extracting key information from complex medical documents and a human-in-the-loop summarization system, • Write scalable code and improve the performance of existing systems, • Collaborate with data labelers and subject matter experts to evaluate and continuously improve the performance of AI systems, • Work closely with Product counterparts to rapidly iterate on user feedback, • Translate cutting-edge research into production-grade solutions. Turn the latest advancements in AI into scalable, high-impact systems that operate seamlessly in live customer environments Skills Requirements: • 3+ years experience writing performant Python code that follows modern best practices, • At least 1 year building and deploying LLM-based products in a fast-paced, professional environment, • Experience building API integrations and working within a service-oriented architecture, • Exhibited ability to evaluate LLM outputs in novel ways that strongly align with business outcomes and user preferences, • Expert at prompt engineering Bonus Points: • Experience translating state-of-the-art research papers into production code, • Accustomed to collaborating with data labelers and SMEs, • Experience building production agentic systems, • Experience working with non-text modalities (images, audio, etc.) Work-life, Culture & Perks: • Compensation: The salary range for this role is $165-185K with flexibility plus meaningful equity plan, • Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2%, • Home & Family: Flexible PTO, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn, • Office Life: Catered lunches, happy hours, pet-friendly spaces, and home office stipend., • Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally, • Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active H1-B visa EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

About Gusto Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 400,000 businesses nationwide. Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That’s why we’re committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our ___. About the Role: We're looking for a highly skilled Workforce Management (WFM) Data Analyst to revolutionize our reporting and data integration capabilities. In this pivotal role, you'll be instrumental in developing automated reporting solutions and seamless data integrations across various applications to accurately determine workload and optimize our workforce. As a WFM Data Analyst focusing on automation and integration, you'll be a key player in enhancing our operational efficiency and decision-making. You'll collaborate closely with cross-functional teams, including the WFM, CX Strategy, Biz Tech and Operational Leaders, to deliver critical insights. Leveraging your deep expertise in data analysis, WFM principles, and automation tools, you'll transform raw data into actionable intelligence, driving continuous improvement in our staffing, performance monitoring, and overall customer experience. About the Team: The CX Data & Insights team at Gusto is dedicated to providing actionable insights and streamlined reporting for our CX org. We drive process improvements, enhance performance, and optimize tools to enrich both employee and customer experiences. As a member of this team, you will shape strategy and develop scalable processes that continuously elevate the CX landscape. Here’s what you’ll do day-to-day: • Driving Automation & Integration: Design, develop, and maintain automated reporting solutions for WFM metrics across multiple platforms. Establish and optimize data integrations between various applications to ensure accurate and timely workload determination and data feeds., • Strategic Data Analysis: Advocate for a data-driven approach, collaborating closely with WFM partners to drive impactful decisions. Analyze workforce performance data, identifying trends, forecasting needs, and providing recommendations for operational improvements., • Data Modeling & Insights: Work within both structured and unstructured data environments to query, dissect, and assemble complex datasets. Leverage statistical modeling, including linear and multivariate regressions, to answer complex relational questions of causality and correlated events., • Process Optimization & Documentation: Partner with peer groups, business partners, and subject matter experts to learn and document business areas/domains, solving operational problems through data. Document and assess current state processes through current state, future state, and gap analysis., • Reporting & Dashboard Development: Identify critical metrics and create automated dashboards to monitor business health and performance. Conduct quantitative and qualitative analyses and deep dives of patterns and trends to drive business decisions and address business questions, ensuring you determine and gather the necessary data elements to tell the story and drive outcomes., • Project Leadership & Best Practices: Plan, execute, and oversee data projects, providing technical leadership in a dynamic environment. Ensure data integrity and accuracy across all WFM reporting and integrated systems, utilizing WFM best practices from ICMI, SWPP, and COPC to guide automation and integration strategies., • Cross-functional Collaboration: Collaborate closely with WFM and Operations teams to understand reporting and data integration requirements, fostering strong partnerships to achieve shared goals. Here’s what we're looking for: • 4+ years of experience in Data Analytics with a WFM or Customer Experience Operations focus., • 2+ years of experience with omnichannel routing systems such as Salesforce, NICE, CXOne., • Expert in SQL, Python and Excel, capable of querying and analyzing large datasets with ease., • Excellent communication skills, able to convey findings and recommendations to non-technical stakeholders in a clear, compelling manner., • Highly organized with a keen attention to detail., • Demonstrated ability to work independently and in a team setting., • Effective time management skills and ability to manage multiple priorities using project management principles Our cash compensation amount for this role is $104,000/yearly to $132,000/yearly in Denver & most major metro locations, and $134,000/yearly to $160,000/yearly for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto 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 (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out ___ and a member of our team will get in touch with you. Gusto takes security and protection of your personal information very seriously. Please review our ___. Personal information collected and processed as part of your Gusto application will be subject to ___.

Description: Role: Azure Data Engineer Location: Iselin NJ 3 Days Hybrid from Day 1 Look for 15 years with Credit Risk OR Capital Market Experience. Must Have: • Snowflake, • SQL, • Python, • ADF, • Azure Data Bricks, • PySpark, • Data Warehouse Concepts Job Description: This position is for a Cloud Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable working with business users along with business analyst expertise. Major Responsibilities: • Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity., • Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data., • Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling., • Proficient in developing programs in Python and SQL, • Experience with Data warehouse Dimensional data modeling., • Working with event based/streaming technologies to ingest and process data., • Working with structured, semi structured and unstructured data., • Optimize Databricks jobs for performance and scalability to handle big data workloads., • Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks., • Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions., • Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process., • Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards. Skills: • 9+ years Python coding experience., • 5+ years - SQL Server based development of large datasets, • 5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark., • Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake., • Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling., • Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills., • Experience with Cloud based data architectures, messaging, and analytics., • Cloud certification(s)., • Any experience with Airflow is a Plus. Requirements: • Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity., • Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data., • Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling., • Proficient in developing programs in Python and SQL, • Experience with Data warehouse Dimensional data modeling., • Working with event based/streaming technologies to ingest and process data., • Working with structured, semi structured and unstructured data., • Optimize Databricks jobs for performance and scalability to handle big data workloads., • Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks., • Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions., • Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process., • Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.

Tatari is on a mission to revolutionize TV advertising. We work with some of your favorite disruptor brands—like Calm, Vuori, Rocket Money, and hundreds more—to grow their business using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience. Our technology and services are pushing the industry forward, enabling businesses of any size to advertise on TV. Named one of the 16 Hottest Ad Tech Companies by Business Insider and ___by Inc. Magazine, Tatari is experiencing rapid growth. Our executive team is comprised of former founders and senior leaders at fast-rising startups like Shazam, TrueCar, AdapTV, and LiveRail and larger, more established tech companies like Amazon, Google, Meta, Microsoft, and Yahoo. We’re looking for a Research Data Scientist to join the team! In this role, you will work in a fast-paced environment, with diverse data sets and technologies to produce production quality, scalable, automated solutions to a diverse set of challenging data problems. You will have the freedom to utilize the latest technologies to solve challenging problems, create innovative applications from the ground up and understand exactly what it takes to create a reliable online experience for our customers. This role collaborates closely with our technology and client-facing teams to optimize our business, with the ultimate goal of helping Tatari redefine marketing analytics for tv and streaming video media buying. Description: • Collaborating closely with our engineering and technology teams, the Data Scientist will build predictive models, measurement algorithms, and deep analyses to provide insights for optimizing our business., • Specifically, the job duties will include the following:, • Applying fluent understanding of state-of-the-art machine learning techniques to build predictive models and recommender systems;, • Applying deep understanding of statistics and probability to devise improvements to existing algorithms;, • Contributing to developing and maintaining internal analysis software libraries;, • Developing new intellectual property;, • Analyzing large amounts of data to identify relationships and trends, translating them into actionable insights for our product team and clients;, • Reporting findings, both orally and in writing Qualifications: • Masters’ degree in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.), • Advanced experience in data manipulation tools (e.g., Python, pandas, pyspark, SQL), • Deep knowledge of statistics, probability, and machine learning techniques, • Experience building/testing/validating ML models using state-of-the-art tech, • Strong background designing and developing software to implement advanced analytic algorithms, • A quick learner, with the ability to work independently and adaptably in a fast-paced environment, • Strengths in creativity & open-ended problem-solving-- able to identify what's important (and not important) to focus on in order to construct effective approaches to challenging problems, • Strong strategic thinking capabilities and project management skills, • Strong communication skills, both written and oral, • Nice to have:, • PhD in a technical field, • Industry experience with development and deployment of predictive models or recommendation systems Benefits: • Competitive salary ($130,000 - 160,000/annually), • Equity compensation, • Health insurance coverage for you and your dependents, • 401K, FSA, and commuter benefits, • $150 monthly spending account, • $1,000 annual continued education benefit, • $500 WFH reimbursement, • Unlimited PTO and sick days, • Monthly Company Wellness Day Off, • Snacks, drinks, and catered lunches at the office, • Team building events, • Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated. #LI-HYBRID

US Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That’s the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity. At the core of it all, we have a team and culture that has been recognized by Forbes as one of the top 500 best startup employers in the US. Our team spans diverse backgrounds, cultures, and stories, with employees coming from 20+ countries. We're a venture-backed company entering hypergrowth, having recently ranked 94th on Inc 5000's fastest-growing private companies in America, and we’re looking for someone exceptional to join our team. Job Description: We’re looking for an AI/ML Engineer who will develop, optimize, and scale machine learning models that power our next generation of user experiences. Working closely with product, engineering, and design, you’ll ensure our ML tools truly address user needs—whether they’re discovering new features, troubleshooting connectivity, or receiving proactive solutions to common issues. The role is based out of our New York office. \n Key Responsibilities: • Design & Deploy Conversational / Multi-Agent LLM Solutions, • Craft multi-agent conversational flows capable of handling a wide range of user requests—both purely informational and action-oriented., • Employ advanced LLM techniques (prompt engineering, context retrieval, multi-step reasoning) to ensure robust, context-aware dialogues, • Multi-Modal & Multi-Model Integration, • Explore different input/output formats (e.g., text, potential voice or image-based flows) to enrich user interactions, • Evaluate different models based on their intended use case, considering both technical capabilities and cost efficiency, • Platform & Pipeline Building, • Work with cross-functional teams to design data pipelines that feed your models real-time or near real-time data, • Implement best practices around model lifecycle management—versioning, containerization, deployment orchestration, etc, • Optimization & Scale, • Ensure the chat system can handle thousands (eventually millions) of concurrent interactions, maintaining low latency and high availability, • Monitor performance, define metrics (latency, user success rate, fallback rate, etc.), and iteratively improve, • Ongoing Innovation & Experimentation, • Remain current on the rapidly evolving AI/ML landscape, especially in generative models, multi-agent orchestration, and knowledge retrieval, • Propose new ways to extend AI across our platform—e.g., advanced personalization, proactive customer engagements, etc. Qualifications: • Core AI/ML Expertise, • 3+ years hands-on experience building and deploying machine learning solutions at scale, • Solid understanding of NLP techniques, including transformer models and embeddings, with hands-on experience using modern tools like Hugging Face, AWS Bedrock, and OpenAI’s API, • Backend & Data Infrastructure, • Proficient in Python or a similar language for data pipelines and model development, • Experience with cloud platforms (AWS strongly preferred), containerization (Docker, Kubernetes), and microservices, • Research & Problem-Solving Mindset, • Up-to-date on AI/ML trends—especially in multi-agent systems, generative modeling, or multi-modal approaches, • Skilled at diagnosing bottlenecks, scaling solutions, and balancing innovation against real-world constraints, • Collaboration & Communication, • Comfortable presenting complex ML concepts to non-technical stakeholders, • Passion for iterative development—able to pivot based on user feedback and product metrics. Bonus Points: • Familiarity with vector search solutions (e.g. Pinecone, Weaviate, or Elasticsearch with vector plugins), • Familiarity with building or deploying large language models and related tooling in the AWS Bedrock ecosystem, • Experience designing or contributing to multi-agent LLM frameworks or orchestrations (e.g., specialized agent-based approaches in advanced NLP) Benefits: • Competitive salary - $180k-240k (NYC based), • Gym reimbursement, • Free cellular service on the best network in the US, • Free lunch in NYC office & fully stocked kitchen, • Metrocard reimbursement, • Flexible working hours \n$180,000 - $240,000 a year\n Think you’d be a great fit? Apply to learn more!

About Arthur At Arthur, we are deeply passionate about building technology to make AI understandable, effective, and fair. Arthur makes machine learning work for enterprises through performance monitoring, explainability, and bias detection. We believe strongly in front-end ethics: building a company and industry where strong performance and a positive human impact are inextricably linked. This position is a rare (and fun!) opportunity to help shape the future of AI and its real-world impact. About the role Arthur is looking for a product-focused Machine Learning Engineer to join our team, to operate with autonomy and with the support of the team to lead and build out our product vision and deliver value to our customers. What you'll do • Focus on ML, especially LLMs, model performance, security, and robustness: make LLMs and model-based systems respond accurately, quickly, and comprehensively to general and task-specific interactions by both natural and adversarial users – for example, checking veracity of responses, hardening against prompt injection, query-based routing to different models, and generation of evaluation datasets, • Build out new techniques and tooling in ML model monitoring: data drift detection, high-dimensional density estimation, time series anomaly detection; detection and mitigation of issues in fairness and bias in ML algorithms, • Run machine learning experiments independently and in collaboration with product teams, and communicate results to internal stakeholders as well as the broader ML community via publications in top-tier conferences, industry conference presentations, deep technical blogs, and events, • 5+ years of professional experience in Machine Learning, and/or Engineering providing strong ML support, or Data Science/Statistics with 2+ years of Engineering expertise, • Deep experience writing production-grade python, in addition to experience using ML frameworks, such as JAX, Tensorflow, or PyTorch, • Understanding of software engineering best practices, version control, and containerization, • Customer empathy and a willingness to engage directly with customers and stakeholders, • Experience with deploying ML models to production and with comprehensive model risk management, • Deep interest in LLMs (to start) and multimodal generative models (soon!), specifically around measuring bias or performance, • Enthusiasm for staying up to date on the latest developments in the field – we operate in a nascent space with plenty of signal and plenty of noise coming from arXiv and open source projects, • Knowledge of and ability to (re)learn statistical methods and contemporary ML algorithms You might also have (nice to have, definitely not required) • Experience with public cloud services, such as AWS, Google Cloud, or Azure, • Experience or interest in interactive machine learning, HCI, human-centered ML and LLM evaluation, etc., • Experience or interest in explainability and fairness of recommender systems, • A body of ML-focused publications (we tend to have a presence at NeurIPS/ICML, KDD, AAAI, CHI, and the newer responsible AI conferences like SaTML, FAccT, and AIES), technical blogging, and/or open source projects, • Teammates who value curiosity, hard work, collaboration, and creative problem-solving -- and good swag, • A team of professionals who are passionate about our work and making a positive impact through AI, • A caring culture; we value and prioritize our team’s physical and mental health, encouraging and celebrating life outside of work, • Autonomy to pursue your role and interests with room to grow, with a team behind you that always has your back, • Competitive compensation plus medical, dental, and vision insurance, and a 401K (with matching), • Our target base salary range for this role is $160,000 - $230,000, based on level of experience and how your skills align with role requirements, • Equity in what we’re building together, backed by some of the most respected VCs in the industry, • A flexible learning and development budget: we’ll support ways to learn and grow in the areas that matter to you, • Highly discounted wellness and fitness benefits, • Flexible PTO with vacation minimums, which we really want you to take and enjoy, • The ability to work in a highly flexible hybrid environment - both from home, and from our NYC office with our team

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS ___ is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year:___. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday’s Most Innovative Media Agency to name a few. We couldn’t create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: Known’s Media Science team uses advanced analytics, machine learning, statistics, and algorithms to plan and optimize advertising dollars. We partner with our clients to translate their business goals into meaningful metrics, and buy media across all channels to drive those target outcomes. We are looking for someone to join the team and work alongside data analysts, data scientists, media strategists, media buyers, and software engineers. This role is on the “Buyer Science” team: a group of data scientists who specialize in media measurement, data analysis, experimental design, and campaign optimization. You’ll work hand-in-hand with Known’s media strategists, media channel experts, and directly with clients to elevate their media performance and drive real business value. You will also work with other data scientists to develop campaign measurement strategies, build experimentation plans, and collaborate with media planners and channel teams to ensure media allocations are built scientifically. At the Consultant level, you’ll conduct analyses in service of campaign optimization, surface insights that go beyond media metrics to incorporate first party data, and help drive business strategy. You may find yourself working with our development team (Skeptic) to help productionalize deeper and more technical approaches to common media challenges. In many cases you would work with senior managers on the team and in some cases (especially over time) you would be expected to lead projects independently. You would be expected to embrace your project management responsibilities, from defining key business objectives, to designing the measurement or analytical approach, to analyzing data, and presenting findings. You would also be expected to ensure that our clients have an amazing experience and reinforce our relationship with them as trusted and valued partners. WHO YOU ARE AND WHAT YOU HAVE • A degree from a well-regarded college or university. STEM degrees are preferred., • 3+ years of hands-on experience doing quantitative analysis, statistical modeling, optimization and/or statistics. Experience utilizing Python and SQL., • 1+ years of experience building data science software., • Experience in strategy consulting, marketing and/or marketing research, with specific passion and background in technology and/or media. This should include examples of account / client management., • Understanding of the advertising and media landscape, especially as pertains to measurement vendors and ad platforms., • Superb communication and presentation skills, with a specific fluency in talking about strategic business problems – you combine a drive for analytical reasoning with a practical understanding of what our clients in marketing are trying to achieve., • Ability to communicate technical information with both technical and non-technical stakeholders, • Experience in making appropriate research or analysis recommendations for these business problems., • Proficiency in Google products (Sheets, Documents, Slides) and/or Microsoft Office (Excel, Word, PowerPoint)., • Ability to think strategically, analytically, and proactively about diverse business problems., • Passion for managing the quality & accuracy of data sources and downstream analytics, including checking your and others’ work., • Experience working on a variety of projects simultaneously and delivering results on a deadline WHAT YOU’LL DO • Project management and ownership. While you have will account-level project management support, you will independently manage work streams you own., • Understanding the client’s overall business objectives and translating them into a campaign and measurement strategy., • Overseeing the performance of media campaigns and amazing our clients, both by meeting their targets and creating insightful narratives through bespoke reporting. Writing reports and presenting to clients in a way that is engaging and persuasive., • Developing research, measurement, or analytical approaches., • Statistical analysis of complex data sets., • Managing the ingestion and cleaning of new datasets relevant to your work / projects., • Creating reproducible work through common coding languages (Priority: Python and SQL)., • Working with other data scientists and engineers to productionalize new tools ., • Interpreting data to understand the business implications of the research. Framing analyses, stories, and slides for client media plans and reports., • Serving as the key client point of contact on campaign measurement, optimization, and data infrastructure., • Creation of interactive data tools that are delivered to clients, such as dashboards for marketing campaign performance, media experiments, or simulation tools – you would be provided training in how to create these, but prior experience with MCI is a plus SOME OF OUR PERKS • Unlimited paid time off, • 401k with company matching and no vesting period, • Annual bonuses, • Generous medical plan, • Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you’re probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There’s always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $120K - $130K. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-RR1

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Senior Machine Learning Engineer to join the Personalization team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with Spotify - and who make impactful changes to recommendation systems to achieve this goal. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction. \n What You'll Do • Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development, • Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems, • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization Who You Are • You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformer architecture models, and fine-tuning processes for sequential models, • You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders, • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with TensorFlow, PyTorch, Scikit-learn, etc. is a strong plus, • You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS, • You care about agile software processe Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have ___, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have, • This team operates within the Eastern Standard time zone for collaboration \n The United States base range for this position is $176,166 $251,666 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

___ is a creative tool for growth. Our mission is to help businesses grow — without huge investments in tooling or manual labor. We’re already helping over 100,000 people grow their business with Clay. From local pizza shops to enterprises like Anthropic and Notion, our tool lets you instantly translate any idea that you have for growing your company into reality. We’re looking for sharp, low-ego people to help us turn every business's creative ideas into a reality. Check out our ___ to learn more about the product. Why is Clay the best place to work in New York? * Customers love the product (100K+ users and growing) * We’re growing a lot (10x YoY for the past two years) * Incredible culture (our customers keep applying to work here) * In-person work (beautiful office space in Flatiron) * Well-resourced (raised a ___ expansion in Winter 2024 from investors like Sequoia and Meritech) We’re looking for a data science "Olympian" to own full-funnel insights—from shaping our data infrastructure and asking the right questions to running experiments and delivering sharp analyses. You'll play a pivotal role in driving strategic decisions and building a data-driven culture. Our data stack is best in class (we use Snowflake, dbt, Dagster, Hex, Sigma, Eppo, and Census) * Drive strategic insights: Own the full-funnel insight process, transforming data into actionable recommendations for go-to-market and product * Deliver clarity: Translate complex data findings into simple, actionable insights that resonate with both technical and non-technical stakeholders * Set up data infrastructure: Contribute to building and scaling our data transformation and orchestration capabilities, ensuring accurate and timely data delivery * Empower self-serve analytics: Develop a robust self-serve analytics platform that empowers all teams to access and leverage data effectively * Champion a data-driven culture: Establish best practices that encourage non-data teams to use insights effectively * Experiment: Design and set up experiments that test hypotheses and measure impact, driving continuous improvement in processes and products * 4+ year experience * Expert in SQL and Python or R * Robust understanding of statistical and machine learning methods * Experience with data transformation tools (dbt) and data orchestration tools (Dagster or Airflow) * Live in New York (or willing to relocate) Based out of a central office on 19th Street in Manhattan's Flatiron District. We love the energy of in-person collaboration while also offering the flexibility to work from home when needed. * Competitive salary and role trajectory: Roles, responsibilities, and comp grow as we do * Health insurance: Fully funded, high quality health, dental & vision coverage (including 80-100% therapy coverage) * Visa sponsorship: We get it - it's an arduous process, but we're not scared of it * Paid time off: We expect team members to take at least 3 weeks fully-disconnected per year, with a flexible vacation policy beyond that * Free lunch: Lunch is provided in office every day * Parental leave & fertility support: IVF fertility benefits, egg freezing, and 4 months of paid parental leave Learn more about Clay and what it’s like to work with us ___ Learn more about Clay and what it’s like to work with us

Senior Infrastructure Engineer (L1) ABOUT ACTIVEVIAM If you believe that data analytics can contribute to making Financial Services a more accountable and risk-aware business in an ever-increasing volatile environment, ActiveViam is the right place for you. Founded by a group of industry experts, ActiveViam understands the data analytics challenges faced by financial institutions across trading desks, risk, and compliance. That is why we pioneered the use of high-performance analytics in finance, helping the largest investment banks, asset managers and hedge funds make better decisions, explain results with confidence, and simulate the impact of their decisions. Unlike most BI players, we are not generalists. Our mission is to deliver train of thought analysis on terabytes of data in the most cost-effective way so our customers can explain what happened with confidence and model the scenarios that will optimize their business. We are a pure player specializing in risk data analytics for one of the fastest-moving and most regulated industries with a presence in the world’s leading financial marketplaces – London, New York, Singapore, Hong Kong and Paris. Our 150+ employees take pride in being experts in developing and supporting a purpose-built analytics technology that has been recognized as “FRTB Product of the Year” by Risk and the “Award for Excellence for Regtech, Big Data and Analytics” by Regulation Asia. Choose to be different. Join ActiveViam and make a difference in data analytics for the financial services industry. Role Overview As a key member of ActiveViam’s global infrastructure team, you will architect, implement, and maintain modern, secure, and scalable IT infrastructure to support our business and clients. This role goes beyond day-to-day support—you’ll drive automation, standardization, and continuous improvement of our hybrid cloud environment (Microsoft 365, Azure, and supporting services) while ensuring robust identity, network, and endpoint security. Key Responsibilities • Design, implement, and maintain core infrastructure services across cloud and on-prem environments, including identity management (Azure AD/Entra), endpoint management, and secure networking., • Automate provisioning and configuration using Infrastructure-as-Code and modern management tools (e.g., Intune, PowerShell)., • Harden and monitor security posture, including zero trust principles, endpoint detection & response (EDR), conditional access, and security baselines., • Lead problem resolution for complex infrastructure issues and proactively drive root-cause analysis to prevent recurrence., • Collaborate cross-functionally with R&D, Customer Success, Operations, and IT Infrastructure Team to align infrastructure with business needs and compliance requirements (e.g., ISO 27001, SOC 2, DORA)., • Optimize performance and cost-efficiency of cloud services, storage, and networking., • Contribute to IT strategy, evaluating emerging technologies and advising on standards, policies, and best practices. Qualifications & Experience • Proven experience (3+ years) managing modern IT infrastructure in a hybrid cloud environment., • Strong expertise in Microsoft 365 & Azure, including identity management, conditional access, Intune, and device compliance., • Solid understanding of networking fundamentals (routing, switching, DNS, DHCP, VPN, SD-WAN) and cloud networking concepts., • Proficiency in automation and scripting (PowerShell, Python, or similar)., • Strong grasp of cybersecurity principles and experience implementing security controls in line with frameworks like ISO 27001 or NIST., • Excellent communication skills and ability to work across global teams., • Bachelor’s degree in IT, Computer Science, or equivalent professional experience. Preferred Skills • Cloud certifications (e.g., Azure, Atlassian, AWS Administrator/Architect)., • Experience with containerization (Docker, Kubernetes) or DevOps practices., • Exposure to SIEM/SOAR and advanced monitoring tools., • Familiarity with regulatory frameworks such as SOC 2, DORA, or GDPR.

Today thousands of leading brands and agencies use ___ to win the battle for attention with content that both humans and agents love. We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences. We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay. We're looking for a product-minded AI engineer to help us rapidly define and ship features that make all AirOps customers 10x content engineers. In this role, you'll drive the development of advanced AI systems, including our SEO Strategy Agent and Workflow Builder Copilot. You'll lead the creation of intelligent solutions that empower businesses to optimize their SEO strategy and streamline workflow creation with AI-powered assistance. Joining at a critical juncture, you'll collaborate closely with product management to shape our AI roadmap and technical architecture. * Develop and integrate LLM-powered features such as AI-assisted workflow automation, code generation, and content strategy. * Optimize AI performance through prompt engineering, retrieval-augmented generation (RAG), and evaluation frameworks. * Build and scale AI infrastructure, ensuring low-latency responses, caching, and cost-efficient model usage. * Implement AI observability and safeguards, monitoring quality, security, and compliance. * Collaborate with product and engineering teams to deliver intuitive, AI-driven user experiences. * Stay ahead of AI advancements, continuously improving our AI-powered capabilities. * Collaborate with early adopters to optimize model performance and usability. * 3+ years of experience in machine learning engineering, AI/LLM integration, or applied NLP * Proven track record of building LLM-powered applications * Strong experience with foundation models (GPT-4o, Claude, etc.) and advanced prompt engineering * Experience with embedding models (e.g., OpenAI Ada, Cohere, or local vector stores like pgvector, Weaviate, Pinecone) * Deep understanding of retrieval-augmented generation (RAG) and contextual AI response optimization * Familiarity with LangChain, or similar frameworks for orchestrating LLM-powered applications * Strong programming skills in Python (experience with AI frameworks like Hugging Face, LangChain, or OpenAI SDK) * Experience in evaluating LLM performance, running A/B tests, and implementing feedback loops for AI refinement * Solid understanding of caching, rate limiting, and cost optimization strategies for AI workloads * Ability to work cross-functionally with engineers, product managers, and end users to develop impactful AI solutions * Extreme Ownership * Quality * Curiosity and Play * Make Our Customers Heroes * Respectful Candor * Equity in a fast-growing startup * Competitive benefits package tailored to your location * Flexible time off policy * Generous parental leave * A fun-loving and (just a bit) nerdy team that loves to move fast!

About Us: Savant is transforming how healthcare and life sciences organizations unlock the value trapped in unstructured medical data. Our platform combines cutting-edge large language models (LLMs) with domain-specific quality controls to convert free-text clinical records into structured, analysis-ready data — efficiently, accurately, and at scale. We work with leading institutions across healthcare, life sciences, and research, supporting faster studies, sharper insights, and better care. Backed by Roivant (NASDAQ: ROIV), Savant is built for organizations that see structured data not just as an output, but as a foundation for innovation. The Opportunity: We’re hiring an AI/ML Engineer to help build and scale the infrastructure behind Savant’s clinical data structuring platform. In this role, you’ll work at the intersection of LLMs, applied machine learning, and healthcare data to develop production-grade pipelines that extract structured insights from messy, high-stakes records. This is a high-impact engineering role with full-stack exposure - from prototyping model workflows to deploying scalable inference systems. You’ll work closely with our product, clinical, and engineering teams to continuously improve model performance and delivery quality. If you’re excited to build real-world applications of LLMs, shape how AI gets deployed in healthcare, and operate with ownership in a fast-paced startup environment, we’d love to hear from you. Some things you might work on: • Design and build robust ML pipelines to apply LLMs and other models to unstructured clinical text, • Develop and optimize systems for information extraction, entity resolution, data normalization, and QA, • Build and scale infrastructure for running model inference across large datasets, • Prototype, evaluate, and refine prompt strategies, model configurations, and workflows, • Implement internal tools for monitoring, observability, and iterative model improvement, • Translate research prototypes into reliable, testable, and maintainable production code, • Collaborate cross-functionally with clinical experts and product leads to embed domain knowledge into model workflows What We're Looking For: • 3+ years of hands-on experience building and deploying ML/AI systems, • Strong Python development skills, including experience with production-quality ML codebases, • Familiarity with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, spaCy), • Experience working with large-scale unstructured or semi-structured data, • Practical knowledge of LLMs: prompt engineering, evaluation, fine-tuning, observability, • Comfort working in fast-paced, ambiguous environments where iteration is key, • Clear communicator with a collaborative mindset Bonus Points For: • Experience working with clinical or healthcare data (EMRs, registries, imaging, labs, etc.), • Familiarity with model evaluation tooling, quality benchmarking, and drift detection, • Exposure to data privacy or compliance frameworks (HIPAA, de-ID workflows, etc.), • Experience in an early-stage startup or small, fast-moving technical team Why Join Us • Full-Stack AI Impact: Contribute across the ML lifecycle, from data to deployment, • Product-Embedded Work: Your contributions will ship as part of a real product, not just R&D, • Tight Collaboration: Work directly with cross-functional partners across clinical, product, and engineering, • Mission-Driven: Help unlock better healthcare by solving foundational data problems Base salary for this role will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market conditions. The expected base salary for the role will generally be between $130,000 to $180,000 per year, with meaningful equity. The final salary offered may be outside this range based on individual circumstances and business and market conditions. Base salary if hired is only part of the total compensation package, which, depending on the position, may also include other components such as discretionary bonuses and Company-sponsored benefit programs. This position is at-will and Savant reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance and business and market conditions. Savant 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.

___ is the AI Site Reliability Engineer (SRE) for the enterprise—already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. Our roots remain deeply embedded in AI research, and we’re channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we’re proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Cerebras Systems, Glean, Nuro, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible. As an AI Agents Engineer at Traversal, you'll be responsible for designing and implementing intelligent agents that operate at the heart of our observability platform. You will work on deploying frontier LLMs in production, optimizing multi-step reasoning workflows, and improving the performance and accuracy of agentic architectures across distributed systems. This is a highly technical role at the intersection of AI, infrastructure, and systems engineering. You’ll work across teams to ensure our AI agents interact seamlessly with large volumes of observability data and scale reliably across environments. • AI Agent Architecture: Design and build multi-step reasoning workflows that use LLMs and other components to analyze large-scale observability data., • Prompting & Tooling: Develop tooling for prompt engineering, function calling, and agentic orchestration that optimizes latency, reliability, and performance., • Production Deployment: Integrate AI components into a robust, scalable production environment with low latency and high uptime requirements., • Experimentation: Prototype and test new LLMs, prompting strategies, and fine-tuning approaches to improve the quality and coverage of agentic responses., • Collaboration: Work closely with backend, infra, and product teams to ensure AI agents are well-integrated into the broader system., • Observability & Debugging: Build evaluation and monitoring tools for agent performance and reliability across production workloads., • 3+ years of software engineering experience., • Strong Python skills, including experience with performance tuning and ML/AI libraries., • Experience building and deploying distributed systems and/or large-scale data processing pipelines. Familiarity with LLMs, prompt engineering, or agentic frameworks., • Experience with observability data (logs, metrics, traces) and live incident debugging., • Proven ability to deliver projects end-to-end: from experimentation to production deployment and iteration., • Strong debugging skills and ability to work across layers (data, infra, model, and application)., • Experience with observability data and production infrastructure (logs, metrics, traces)., • Familiarity with model fine-tuning, evaluation tooling, or reinforcement learning from human feedback (RLHF)., • Background in AI agent research or open-source contributions to agent frameworks., • Experience working with Terraform, Kubernetes, or ML orchestration platforms. We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary range for this full-time, in-person role in New York is $150,000–$300,000, plus equity and benefits. Our salary ranges are based on location, level, and role. Individual compensation is determined by experience, skills, and job-related knowledge. We’ll make sure you’re fully supported with health insurance, a great tech setup, flexible time off, and plenty of in-office snacks. We offer competitive salary and equity packages, and take thoughtful consideration with every hire on our small, high-impact team. Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park. We have a collaborative, hard-working culture and are energized by building the future of AI-powered software maintenance. Working here means owning meaningful parts of the product, having the flexibility to move fast, and learning constantly. This is a place to grow your career, make a real impact, and help define a new category of infrastructure software.

Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: As a Senior Data Engineer on the Product Platform team, you will be instrumental in designing, building, and optimizing data pipelines and products that support foundational product services that are crucial to the operation of Hinge. Your work will have a direct impact on the reliability and scalability of these services, which are essential for delivering a seamless user experience. You will collaborate closely with product and engineering teams to create innovative solutions for handling large-scale data challenges, ensuring data consistency, low latency, and fault tolerance. You will be making a real impact on the product platform team and will be key to the success of Hinge. By enabling data-driven decisions and driving improvements to our product services, your contributions will ultimately affect the relationships of millions of people. \n Responsibilities: • Design, build, and optimize data pipelines that support critical foundational, cross-cutting product services, empowering the product team to make informed decisions., • Drive advancements in our Data Engineering stack by implementing containerization, refining data modeling techniques, and evolving ETL pipeline development to support emerging business needs and scalability requirements., • Leverage your data modeling expertise to design, build, and maintain our analytics data warehouse that delivers reliable, high-quality datasets for reporting, analytics, and machine learning purposes, supporting both short-term insights and long-term strategic initiatives., • Advocate for Data Engineering best practices within the team, championing their adoption and supporting the continuous improvement of the team's capabilities., • Work with stakeholders across the organization to understand their data needs and translate these needs into actionable data solutions., • Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines., • Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations. What We're Looking For: • 5+ years of professional/industry experience in data engineering, delivering data products from conception to delivery and supporting their underlying infrastructure., • Strong technical background in building and optimizing data pipelines, with proficiency in Python, SQL, and data modeling for different types of data sources and business processes., • Technical expertise in the following: Python, Go, Kubernetes, Docker, Terraform, CircleCI, GitHub Actions, Kafka, PubSub, Dataflow, Redshift, BigQuery, Databricks, dbt, Looker, • Experience with cloud environments such as GCP, AWS, or Azure, • Strong communication skills (written and verbal), with an ability to work collaboratively with cross-functional teams, including backend engineering, data science, and product teams., • Effective analytical, troubleshooting, and problem-solving skills, ensuring data systems operate efficiently and meet business needs., • Mentorship experience, with a focus on guiding junior data engineers and contributing to team growth through knowledge-sharing and code reviews., • A degree in computer science, engineering, or a related field. \n$177,500 - $213,000 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.\n As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get a $3,000 annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide $10,000 toward fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Vibras, Women/Nonbinary, Parents, and Remote—that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge

Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: The Dating Outcomes group is responsible for ensuring people see their most compatible matches, helping them better present themselves, and even starting a conversation when they match with someone. In short, we help people go on dates! We are hiring Senior ML practitioners to help us build the foundations of an AI first dating experience using the latest advancements in the field leveraging Hinge’s years worth of preference data. You can expect to work on recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models as well as building and deploying real time predictive models that directly impact millions of users' experience. This is a fast-growing team and you will get a chance to own and define the strategy, vision, and plan for how to accelerate machine learning at Hinge. \n Responsibilities • Own and contribute to foundational models (e.g. CLIP embeddings) that powers our recommendations pipelines., • Contribute to the research and development of recommender models as well experiment with the latest ML innovations (e.g. LLM agents and transcription models), • Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally., • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process., • Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale., • Perform other job-related duties as assigned. What We're Looking For • Strong programming skills: Proficiency in languages like Python, Java or C++, • System design & architecture: Proven track record of training and deploying large scale ML models specially DNNs. Good understanding of distributed computing for learning and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow or W&B is a plus., • ML knowledge: Deep understanding of DNN architectures, track record of building, debugging and fine tuning models. Familiarity with PyTorch, TF, knowledge distillation, recommender systems are a plus., • Dev-ops skills: The ability to establish, manage, and use data and compute infrastructure such as Kubenetes and Terraform., • Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 4+ years of experience, depending on education, as an MLE., • 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes, • 1+ year of experience leading projects with at least 1 other team member through completion., • 2+ years of experience for Senior designing and developing online and production grade ML systems., • A degree in computer science, engineering, or a related field. \n$204,000 - $245,000 a year\n As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get a $3,000 annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide $10,000 toward fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Vibras, Women/Nonbinary, Parents, and Remote—that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge

Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Hinge is hiring an experienced Staff ML Platform Engineer to drive the design, development and evolution of our Feature Store platform. You will own our streaming offline and online feature store capabilities, enabling Machine Learning Engineers (MLEs) to efficiently perform data exploration and feature engineering operations and utilize features for model training and model inference (batch, near real-time and online). You will collaborate closely with ML engineers, data scientists, data engineers, partner platform teams and project managers to ensure that our Feature Store scales to meet the growing data demands of our ML teams, provides intuitive workflows for feature management and satisfies requirements for data privacy and legal frameworks at Hinge. This role requires awareness and empathy for the applied AI/ML problem space. You will ensure that the Feature Store platform is truly self-service and serves the evolving needs of all ML stakeholders without incurring a linear operations burden. You will also be deeply integrated with the rest of the AI platform and understand data access patterns across the entire ML lifecycle. Your success will depend on maintaining a cohesive, end-to-end view of how data is used in early model experimentation, training, evaluation and inference in production. Being part of a small yet highly impactful team means having a broad scope of responsibility, and as ML is still in its early stages at Hinge, this role provides a chance to grow as a technical leader by mentoring others on the team and across the company. This is an exciting opportunity to own and help define the future of machine learning within a rapidly growing team! Responsibilities • Define the long-term, holistic roadmap for the Feature Store platform, aligning it with company-wide ML initiatives and ensuring end-to-end integration with model training, serving and observability platforms., • Evaluate and introduce new technologies, tools and best practices that enhance feature serving reliability, scalability, cost efficiency and throughput, including leading build vs buy discussions., • Architect, build, and maintain frameworks enabling MLEs for self service data ingestion and serving pipelines for both offline (batch, async) and online (low-latency) feature stores., • Partner with cross-functional Platform teams to represent feature engineering requirements and incorporate them into Hinge’s wider Platform capabilities., • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand the ML development lifecycle and identify opportunities to accelerate the AI/ML development and deployment process., • Mentor and educate ML Engineers and Data Scientists on current and up and coming methods, tools and technologies for Feature Engineering., • Help design and architect an AI platform that adheres to the principles of responsible AI and simplifies privacy compliance. What We're Looking For • 5+ years of experience, depending on education, as an ML Platform Engineer, Data Engineer, or Platform Engineer developing and working with large scale, complex data processing and or warehousing systems., • 4+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes, • 3+ years of experience leading projects with at least 2 other team members through completion., • 2+ years of experience for Staff designing and developing online and production grade ML Feature Store systems., • A degree in computer science, engineering, or a related field., • Strong programming skills: Proficiency in languages like Python, Go, or Java., • System design & architecture: Ability to design scalable and efficient ML systems, particularly data intensive systems., • Data engineering expertise: Skills in handling and managing large streaming data processing systems and formats (parquet, json, protobuf, delta) including data cleaning, preprocessing and storage systems., • Feature Store Platform technology skills: The ability to establish and use Feature Store platforms such as Databricks, Feast, Tecton, Hopsworks, Ray, and/or similar., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure., • ML knowledge: Broad awareness of the entire ML lifecycle, including the data needs for training, serving and evaluation., • Communication skills: The ability to communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds through documentation, RFCs and presentations., • Software leadership skills: A track record of leading projects with multiple contributors and stakeholders through completion with quantifiable and measurable outcomes. #Hinge

Arbol's Engineering team is seeking a Python Engineer to help build the tools that support our innovative approach to climate risk and financial services. You'll collaborate with quants, traders, and product teams to deliver impactful solutions, contribute to architecture decisions, and help drive b

Ro is a direct-to-patient healthcare company with a mission of helping patients achieve their health goals by delivering the easiest, most effective care possible. Ro is the only company to offer nationwide telehealth, labs, and pharmacy services. This is enabled by Ro's vertically integrated platform that helps patients achieve their goals through a convenient, end-to-end healthcare experience spanning from diagnosis, to delivery of medication, to ongoing care. Since 2017, Ro has helped millions of patients in nearly every single county in the United States, including 98% of primary care deserts. The healthcare system today is not designed to help patients achieve their goals. It’s designed around institutions such as hospitals and insurance companies. A patient centric healthcare system is one that is designed around the goals a patient wants to achieve. We’re building healthcare that puts patients in control, provides reactive and proactive care, has transparent pricing and process, is extremely effective and ridiculously convenient, and evolves over time based on patients’ goals. Ro has been recognized as a Fortune Best Workplace in New York and Health Care for four consecutive years (2021-2024). In 2023, Ro was also named Best Workplace for Parents for the third year in a row. In 2022, Ro was listed as a CNBC Disruptor 50. We are looking for a Data Analyst to support our patient experience focused teams, working cross-functionally with product, engineering, design, growth, clinical, finance, and business leads to guide the strategy and roadmap. Tactically, you’ll work on everything from leading strategic analyses to inform decision-making and prioritization, to measuring product feature performance, to building out data availability and BI solutions, to brainstorming approaches to unstructured problems. You are analytical and technical, and you can communicate excellently with non-technical and technical stakeholders alike. You thrive in a startup setting, where every day is different and the problems that you’re tackling often don’t have established solutions. You have a bias for action, and you love leveraging data to help our members become a healthier version of themselves. \n What You'll Do: • Leverage data to shape your team/business’ strategy, providing support and/or leadership wherever needed., • Own projects that span disparate groups with varying levels of technical fluency from end-to-end., • Communicate not just findings, but also your recommendations to key stakeholders and leadership. You’ll use your insights to advocate for our members, physicians and pharmacists in everything we do., • Build a data-driven culture wherever you turn, from working with PMs on KPIs, to partnering with engineers on data models, to making sure that all decisions accurately utilize the most powerful data available., • Play a critical role in attacking opaque, unstructured problems; develop core analytic frameworks that shape the way the company thinks about our business., • Build out data availability and business intelligence solutions for your team., • Perform exploratory analyses and in-depth research on large data sets to uncover, size and advocate for opportunities that improve the member experience and key growth KPIs like member conversion and retention What You'll Bring To The Team: • 2+ years of full-time working experience in quantitative analysis roles, • Expert-level SQL skills, • Strong experience using BI tools (ours is Looker) to effectively convey information, • Strong communication skills with stakeholders of varying technical backgrounds, • Strong problem solving skills, analytical aptitude, and numerical dexterity, • The ability to bring structure to initially unstructured domains, • Demonstrated track record of project ownership Nice-To-Haves: • Working knowledge of Python and associated analytics libraries (Pandas, etc.), • Experience with product event/attribute tracking design and implementation processes — partnering with product and engineering personnel, • Experience setting up and evaluating experiments We've Got You Covered: • Full medical, dental, and vision insurance + OneMedical membership, • Healthcare and Dependent Care FSA, • 401(k) with company match, • Flexible PTO, • Wellbeing + Learning & Growth reimbursements, • Paid parental leave + Fertility benefits, • Pet insurance, • Student loan refinancing \n The target base salary for this position ranges from $105,000 to $125,000, in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary. Ro recognizes the power of in-person collaboration, while supporting the flexibility to work anywhere in the United States. For our Ro’ers in the tri-state (NY) area, you will join us at HQ on Tuesdays and Thursdays. For those outside of the tri-state area, you will be able to join in-person collaborations throughout the year (i.e., during team on-sites). At Ro, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability and/or any other legally protected classification protected by federal, state, or local law. See our California Privacy Policy ___.

Associate, Credit Risk - Implementation, Liberty Street, New York, NY Country: United States of America Your Journey Starts Here: Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: We are seeking a motivated and analytical Sr. Associate to support the implementation of credit strategies and models within decision engine platform for Santander US Unsecured lending portfolio. In this role, you will work closely with credit risk, data science, and technology teams to operationalize and maintain decision logic that drives automated approvals, credit policies, models and customer lifecycle decisions. This is a critical role to ensure strategic decisions are accurately translated into system logic for real-time execution. Strategy Implementation • Translate business and risk strategies into decision engine logic using defined rules, conditions, and configurations., • Collaborate with credit policy, analytics, model development and product teams to understand strategic intent and ensure accurate deployment in decision systems., • Support testing, validation, and monitoring of decision strategies prior to and post-production implementation., • Design and execute test plans to ensure decision rules perform as intended., • Partner with QA, technology, and analytics teams to validate outputs and ensure alignment with risk frameworks., • Identify and troubleshoot issues in rules logic or system behavior and recommend corrective actions., • Conduct thorough testing of the consumer lending processing system, including functional testing, non-functional testing, and acceptance testing., • Identify and document defects and issues encountered during testing., • Support tracking of decision engine performance, including KPIs like approval rates, automation rates, and error rates., • Work with analytics and reporting teams to assess the impact of strategy changes and recommend refinements., • Coordinate with internal stakeholders across risk, product, technology, operations, and compliance., • Participate in regular strategy reviews and platform enhancement discussions., • Assist with audits and governance reviews by preparing documentation and providing data or system insights. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Bachelor's Degree in Business, Finance, Computer Science, Engineering, or related field. - Required., • Master's Degree in Business, Finance, Computer Science, Engineering, or related field . - Preferred., • 5+ Years Risk Management, Credit Risk, or Internal Audit - Required., • 5+ Years Financial Services industry experience. - Required., • 1+ Years Experience in software testing or quality assurance roles. - Required, • Experience with decision engines such as FICO , Experian PowerCurve, or Provenir., • Basic understanding of consumer credit risk, models, lending policies, and/or financial products., • Experience working in a financial institution or fintech environment., • Strong analytical and problem-solving skills with attention to detail., • Proficiency in Excel; familiarity with SQL, Python, or other analytics tools is a plus., • Exposure to agile delivery environments and product/strategy deployment cycles., • Understanding of model-driven decisioning and A/B testing frameworks. Certifications: No Certifications listed for this job. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. What Else You Need To Know : The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range Minimum: $76,875.00 USD Maximum: $130,000.00 USD Link to Santander Benefits: Santander Benefits - 2025 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions : Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required . Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs. Primary Location: New York, NY, New York Other Locations: New York-New York,Massachusetts-Boston Organization: Santander Bank N.A.

Aircall is a place where voices are valued. Backed by over $220 million of investment since 2015, we create technology that fuels accessible, transparent and collaborative communication to empower our base of 20,000+ customers (and growing) to make authentic, human connections. Conversation is a cornerstone of our culture. Wherever our people find themselves in the Aircall world – Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, or at home – everyone has a voice that is valued. Whatever your background, wherever you’re from – we want you to join the conversation. Let’s talk. We are building the future of communication and we would love for you to be a part of it. About the role: We are looking for a passionate and experienced data engineer to join our team and contribute to Aircall’s rapid growth. As a Senior Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure. This role offers the unique opportunity to be at the forefront of our engineering efforts to develop and optimize the technologies that will scale our business via enhancing the customer journey. Collaborating with teams across the company, you will leverage your technical skills to solve complex challenges, improve operational efficiency and lead our business towards its strategic goals. \n Your mission @ Aircall: • Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases., • Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality., • Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations., • Own the core company data pipeline, responsible for converting business needs to efficient & reliable data pipelines., • Participate in code reviews to ensure code quality and share knowledge., • Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure., • Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics., • Mentor junior members of the team, providing guidance and support in their professional development., • Collaborate with data scientists, analysts and other stakeholders to drive efficiencies for their work, supporting complex data processing, storage and orchestration A little more about you: • Bachelor's degree or higher in Computer Science, Engineering, or a related field., • 5+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure., • Proficient in SQL and Python, with the ability to translate complexity into efficient code., • Experience with data workflow development and management tools (dbt, Airflow)., • Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure., • Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues., • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment., • Experience with data tooling, data governance, business intelligence and data privacy is a plus. \n$120,000 - $220,000 a yearThis is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.\n Aircall is constantly moving forward. We’re building new roads to complete our journey, and we’re taking people with us who have the same builder mentality. Let’s grow together: Aircall is a place for those who dare to be bold and seek responsibility, excellence, and the opportunity to push themselves to new heights. We’re creating a place where great people trust one another and thrive together. People flourish at Aircall and now is the time to be part of the team and the journey we’re on. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities 💆‍♀️ Our people matter, work-life balance is important at Aircall 📚 Fast-learning environment, entrepreneurial and strong team spirit 🌍 45+ Nationalities: cosmopolite & multi-cultural mindset 💵 Competitive salary package & equity 🏨 Medical, dental, and vision insurance is 100% covered 📈 401k plan with company matching! ✈️ Unlimited PTO — take the time you need to come to work feeling great! ⭐️ Wellness, commuter, and childcare reimbursements 💚 Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our ___ Want to know more about candidate privacy? Find our

Prizeout is a leading New York city based fintech company where innovation meets financial empowerment. We provide rewards and loyalty solutions to partners that revolutionize the way their customers engage and maximize their financial potential. We're seeking passionate individuals to drive our mission forward and transform the landscape of advertising and financial technology. We have built a team that values humility and innovation and we believe that embracing challenges makes us better. We hire people we trust, who will live these values and who are able to find a way to navigate through obstacles, embody an entrepreneurial spirit, and maintain a spirit of optimism. If that’s you, please read on and apply today! ABOUT THIS ROLE: As a Senior Data Analyst at Prizeout, you will work within the data and analytics team to tackle ambiguous challenges and to build analytical tools. You will work to discover and deliver insights that drive value for our clients and internal teams. The ideal candidate will be able to execute on projects independently as well as effectively communicate findings across a variety of different teams. \n WHAT YOU’LL DO: • Collaborate on initiatives that drive a better understanding of our user, partner, and merchant behaviors, • Create models and frameworks that uncover insights otherwise buried in our raw data, • Develop a deep understanding of Prizeout’s algorithms and logic, how they impact our marketplace dynamics, and utilize that knowledge to interpret trends in data, • Work with data leadership to create meaningful analyses and reports with recommendations that drive real impact, • Provide analytical support to our engineering, product, partners, merchants, and operations teams to power essential products and services and to drive new business WHAT WE’RE LOOKING FOR: • 3+ years of experience in quantitative analysis and analytical roles, • Experience in data mining, cohort analysis, A/B testing and knowledge of quantitative methods (statistics, machine learning, etc.), • Proficiency with open-source languages and systems such as SQL, Python, Excel, Tableau, etc., • Excellent communication skills with the ability to synthesize and convey learnings to others to drive product roadmap and business priorities, • The ability to thrive when tackling big, undefined problems, • Desire to drive business objectives through quantitative / predictive work, • Must be willing to work full-time in NYC; this is not a remote role, • Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time \n$105,000 - $120,000 a year\n WHAT IS PRIZEOUT? Prizeout is an advertising and financial technology company that helps put money back into people’s pockets. Through Prizeout’s technology, brand-funded offers are available to all partners, including financial institutions, gaming companies, gig economy startups, and more, giving them access to instant cashback from national and local brands when they shop with digital gift cards. The company was founded in 2019 and is headquartered in New York City. Prizeout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

About ConnectPrep ConnectPrep is a forward-thinking education company dedicated to transforming student success through personalized instruction, technology, and data-driven strategies. We combine educational expertise with deep analytical capabilities to optimize outcomes across tutoring, test prep, and college advising programs. As we continue to grow, we are seeking a highly motivated and experienced Senior Data Analyst to join our team and lead strategic data initiatives across departments. Position Overview The Senior Data Analyst will play a key leadership role in building and scaling ConnectPrep’s analytics function. This individual will be responsible for designing and maintaining data systems, driving business insights through advanced analytics, and supporting key initiatives across operations, curriculum development, and marketing. This is a high-impact role for a data-driven professional who is equally comfortable with hands-on technical work and cross-functional collaboration. Key Responsibilities • Lead the design, development, and optimization of dashboards, data models, and analytical tools to support business and educational performance metrics., • Translate complex data into actionable insights and clearly communicate findings to senior leadership and non-technical stakeholders., • Own the full analytics workflow, including data extraction (SQL), transformation, and visualization using tools such as Tableau, Power BI, or Looker., • Design and evaluate A/B tests for product and content experimentation, interpreting results to inform decision-making., • Develop predictive models to support personalization and adaptive learning efforts across educational services., • Partner with internal teams—including curriculum developers, marketing, and engineering—to define data requirements and ensure consistent implementation of analytics strategy., • Mentor junior analysts and contribute to the development of internal data best practices and documentation., • Support data governance, data quality, and compliance initiatives. Qualifications • Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related field., • Minimum 5 years of professional experience in a data analytics or data science role, preferably in education, edtech, or a service-based company., • Advanced proficiency in SQL and Python (Pandas, NumPy, or similar libraries); knowledge of R is a plus., • Strong experience with BI tools such as Tableau, Power BI, or Looker., • Demonstrated ability to manage and communicate data projects independently, from conception through execution., • Experience designing and analyzing A/B and multivariate experiments., • Familiarity with data pipeline tools (e.g., Airflow, dbt) and data warehouse architecture (e.g., Snowflake, BigQuery) preferred., • Excellent communication skills and the ability to work cross-functionally in a collaborative environment., • Passion for education and using data to drive meaningful outcomes. Preferred Qualifications • Experience in educational data analysis or adaptive learning technologies., • Exposure to machine learning techniques and model deployment., • Prior leadership or mentorship experience within analytics teams., • Strong business acumen with an understanding of how data supports strategic goals. What We Offer • Competitive salary commensurate with experience., • Equity opportunity and performance-based incentives., • Health, dental, and vision benefits; 401(k) program., • Generous PTO and flexible work arrangements., • A mission-driven work environment where data directly impacts student growth and educational access., • Career advancement opportunities as part of a growing company. How to Apply Please submit your resume and a brief cover letter highlighting your analytics experience and interest in this role to ___. Use the subject line “Senior Data Analyst – [Your Name]”. What we are looking for: • Creative problem solving, strong math/quantitative skills, and attention to detail, • A background in Applied Mathematics, Statistics, or Computer Science, • Ability to brainstorm ways we can use our product to collect data that provides insight into the needs of our students, • Experience with SQL, Pandas, or other fast analysis language, • Experience in data analysis or building pipeline tools in Python, • Some coding background and a strong interest in technology, • Advanced Excel skills (Advanced Formulas), • Tables & Formatting, • Conditional Formatting, • Advanced Charting, • Pivot tables & Pivot Reporting, • VBA & Macros, • Using Excel Productively, • Data Tables, Simulations & Solver Why join ConnectPrep? • Get in on the ground floor of an exciting new company, with the potential to help shape our direction, • Be involved with a team that has bold ideas, with the goal of reinventing education across the globe, • Gain valuable experience, meet technology innovators, and learn about the business side of our company Sound Interesting? Please submit your resume and letter of interest at ___. All applicants must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer. ConnectPrep is an equal opportunity employer EEO/M/F/D/V.

Tandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have: * Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every week and is doubling physician user count every month. We will reach millions by 2025. * An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time. * Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators. Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster. All full-time roles are in person in New York. You can learn more about working with us in the last section of this page. As an Applied AI Engineer on our team, you will work on real production use cases of LLMs and other ML techniques to solve business problems and create groundbreaking AI applications. The role requires that you develop a deep understanding of our product surface area and what drives our business, such that you can operate and drive impact both cross-functionally and independently. You will have end-to-end responsibility for projects, including definition, design, development, launch, and success––this includes ensuring your output has the expected impact on user growth, operational efficiency, or revenue generation. This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Tandem's success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you. * Scope and spearhead AI augmentation and automation projects across our product surface area, including: Unintuitive classifications, Data extraction and summarization, Precise content generation, Reference-based search and question answering, Process outcome prediction, Probabilistic triggering of workflows, and Multimodal model-powered bots * Drive zero-to-one product development from conceptualization through production, collaborating with our go-to-market and operations teams * Stay on top of emerging AI methods and drive decisions around which models and techniques we use, including where we fine-tune and train models * Establish research strategies for various AI methods, including experimentation and evaluation protocols that control for both accuracy and consistency * Prototype and productionize AI functionality and agents, incorporating real-world feedback to refine them * Participate actively in client engagements, working directly with customers to understand requirements and deliver innovative solutions * Develop engineering process, tools, and systems to support faster AI product development (e.g., build a one-click eval system) and scaling (e.g., model invocation efficiency) * Work closely with the rest of our team and CEO to make business decisions as we balance speed of growth and long-term profitability * Decipher and automate complex, branching workflows for insurance coverage, affordability programs, and fulfillment * Combining AI/ML approaches to achieve high precision document classification, unstructured data extraction, and reference-based question answering * Automating multi-step, path-dependent processes, using a combination of RPA/scraping approaches to navigate and operate third-party platforms * Building a state machine that drives system decisions and handles failure modes across a set of processes that are technically independent but practically intertwined * Scale across a growing range of drug classes, patient populations, and provider markets * Making our data and ML pipelines robust to variation and inconsistency in input data formats (e.g., clinical documentation structure and style) * Leveraging empirical data to build and continuously update our understanding of opaque external systems (e.g., insurance company policies) * Creating consumer-grade experiences for patients, physicians, and other users that incorporate intuitive AI-powered workflows * Use our network to help biopharma partners accelerate drug development, launch, and access * Translating large volumes of heterogeneous data into reliable insights, informing decisions like clinical indication selection, launch markets, and insurer negotiations * Developing predictive and simulation models to forecast outcomes such as clinical trial site performance, drug adoption rates, and the impact of rebates/subsidies * Using real-time data and direct engagement channels to enroll criteria-matching patients and physicians in clinical studies and access programs * Strong programming skills and general Computer Science knowledge * Experience driving AI projects end-to-end — from model development and data infrastructure to production deployment and real-world iteration * Proficiency with modern AI/ML technologies (e.g., LLM APIs, PyTorch, TensorFlow) and a strong foundation in full-stack web development (we use Python, React, TypeScript, PostgreSQL, and Kubernetes) * Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationships * Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals * High___ with your former teammates This is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply. Tandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles: * Commit to audacity. "Whether you think you can, or you think you can't – you're right.” * Do the math. Be rigorous, assume nothing. * Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose. * Spit it out. Be direct, invite critique, avoid equivocation – we want right answers. * Be demanding and supportive. Expect excellence from everyone and offer help to achieve it. * Do what it takes to be number 1. We work hard to make sure we win. We provide competitive compensation with meaningful equity. Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay. We also provide rich benefits to ensure you can focus on creating impact: * Fully covered medical, vision, and dental insurance. * Memberships for One Medical, Talkspace, Teladoc, and Kindbody. * Unlimited paid time off (PTO) and 16 weeks of parental leave. * 401K plan setup, FSA option, commuter benefits, and DashPass. * Lunch at the office every day and Dinner at the office after 7 pm. Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

About Daydream Daydream is the first chat-based shopping agent built exclusively for fashion. Designed to redefine how people search and discover fashion, Daydream offers a personalized, conversational experience powered by advanced AI and natural language understanding. Backed by top-tier investors including Forerunner Ventures, Index Ventures, Google Ventures, and True Ventures, our team is committed to shaping the future of shopping. About the role Are you passionate about the intersection of high fashion and cutting-edge artificial intelligence? As a Data Scientist at Daydream, you will be a foundational member of the team building the brain behind our AI Personal Stylist. You will leverage the latest advancements in Large Language Models to create a truly magical, intuitive, and sophisticated conversational experience. This is a unique opportunity to solve complex technical challenges while directly shaping a product that will revolutionize how people shop online. What you’ll do: * Design, build, and deploy core features for our AI stylist using advanced techniques like Retrieval-Augmented Generation (RAG) and LLM-powered agents. * Own the end-to-end lifecycle of our models, from data processing and fine-tuning to creating robust evaluation frameworks that measure quality and accuracy. * Masterfully craft and iterate on prompts to shape the AI's persona, ensuring it embodies the voice and expertise of a world-class fashion consultant. * Collaborate closely with product, design, and engineering teams to translate user needs and creative concepts into tangible, production-ready AI features. * Champion rapid, hypothesis-driven experimentation, embracing the freedom to take calculated risks, test bold ideas, and pivot quickly to discover breakthrough user experiences. * Stay at the forefront of the rapidly evolving AI landscape, researching and prototyping new architectures and techniques to continuously elevate our product. Who you are * You have hands-on experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, programmatic API usage, and building evaluation frameworks. * You have a strong interest or background in the fashion, retail, or luxury goods industry. You possess a keen eye for aesthetics and an intuitive understanding of the user you're building for. * You possess a strong background of machine learning fundamentals, including classification, regression, clustering, and the principles behind embeddings and gradient descent. You are proficient in Python and a major deep learning framework such as PyTorch or TensorFlow. * You are a pragmatic and proactive builder who thrives in a fast-paced, autonomous environment, capable of driving projects from a simple idea to a fully realized feature. * You are an empathetic and collaborative teammate, skilled at communicating complex technical ideas and passionate about building products that users genuinely love. What we offer * Competitive salary, equity and benefits (medical, dental, vision, 401k, etc.) * Flexible vacation and remote working * The opportunity to be part of a groundbreaking, AI-focused company * Collaborative work environment with a team of talented, fun-loving individuals. * Opportunity to learn and grow in your career while shaping the future of fashion, shopping and technology Commitment to Diversity Daydream is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, gender identity, age, national origin, or disability status.

Valence has built the first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance & support to any leader or employee. At Valence, we're not just talking about the future of work – we're actively shaping it. From your first interaction with us, you'll notice we're different. By working here you won't just implement solutions for our clients; you'll be helping to architect the future of leadership in the age of generative AI. And we'll be honest – this is not for everyone. But for those with an insatiable desire to work fast on complex, unsolved challenges with some of the best talent in tech, this could be the career-defining opportunity you've been waiting for. The Role As a founding Applied AI Engineer at Valence, you'll spearhead the development of groundbreaking AI-driven leadership coaching, reporting directly to our Head of AI. This pivotal role places you at the intersection of cutting-edge generative AI and practical business applications, offering the opportunity to shape the future of workplace development. You'll pioneer AI coaching by developing and deploying advanced generative AI models that revolutionize leadership development, while crafting intelligent interactions through sophisticated natural language processing systems that provide personalized, context-aware guidance to leaders. In this position, you'll optimize our AI systems for enterprise scale, building robust and scalable solutions capable of serving Fortune 500 clients with high performance and reliability across diverse corporate environments. Collaborating closely with our product and leadership teams, you'll drive product innovation by identifying new opportunities for AI integration and constantly pushing the boundaries of what's possible in AI-assisted coaching. As a champion of ethical AI, you'll lead the charge in developing responsible AI practices, ensuring our coaching solutions maintain the highest standards of fairness, transparency, and user trust. This role presents a rare opportunity to apply state-of-the-art AI techniques to transform how businesses approach leadership development. You'll tackle unique challenges at the intersection of AI, psychology, and leadership development, creating truly innovative solutions. About Valence We're a Series A B2B SaaS company, backed by Insight Partners, that's pioneering the first generative AI leadership coach for large enterprises. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together. We've been featured in Harvard Business Review, and our client list reads like a who's who of global business, including Coca-Cola, Nestlé, General Mills, ServiceNow, AstraZeneca, Experian, and Bristol Myers Squibb. \n What You'll Do • Architect and develop enterprise-grade conversational AI solutions for leadership coaching, • Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in novel ways to advance product goals., • Evaluate and improve existing conversational (LLM-based) models across dimensions of effectiveness, scalability, and efficiency., • Implement, test, and deploy LLM-powered coaching agents that understand complex tasks, provide accurate and relevant responses, and adapt to diverse conversational contexts, • Integrate and manage diverse data sources to enhance the knowledge and contextual understanding of our AI coaching models, • Work with the product team to study user behavior and prioritize evolving product developments., • Experiment at a high velocity to optimize user experience, • Full stack - write, review and deploy code across back and front end as needed, • Streamlining data science processes to support rapid iteration and quality improvement., • Support other science and software development where required. What We're Looking For • Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience, • 3+ years of professional experience (or equivalent) in software engineering, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field), • Practical and theoretical knowledge of language systems in the areas of: conversational systems, NLP, and Information Retrieval with knowledge of relevant tools, • Strong software engineering skills with a track record of developing data-driven machine learning systems or products, • Proficiency in Python and relevant deep learning frameworks - both training (e.g. PyTorch, Tensorflow, JAX) and serving (e.g., Hugging Face TGI/Transformers/Adapters/outlines, vLLM), • Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and their associated ML services., • Experience with Data Science tools and processes (e.g. NumPy, scikit-learn, Pandas, PySpark), • Familiarity with ML lifecycle tools like MLflow, Weights & Biases, • Hands-on experience building Generative AI-powered applications, including Large Language Models, • Strong analytical and problem-solving skills, • Ability to communicate complex ideas and concepts effectively, • Exposure to early-stage startups, preferably B2B SaaS What You'll Get • Ownership of projects and strategic priorities regardless of seniority in our learning-focused environment., • Strong ties to the executive team, a culture of transparency and engagement with strategic decisions., • Options from day one, which means you will be on the ownership track right away., • Competitive salary and equity packages., • Comprehensive health coverage (medical, dental, and vision) from day 1., • Provision of anything you need to be successful - learning tools, hardware, office equipment, software., • 401k optionality for US based employees, • Generous PTO, company-wide R&R shutdowns and paid leave for parents., • A WFH stipend, phone stipend and support to work in a We Work or other space as preferred. \n Location and Work Environment If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US. Diversity and Inclusion We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at . #LI-HYBRID

Jun Group is a technology company building a world where consumers are in control of their data and advertisers can reach them directly. Intelligent advertising that inspires trust is our guiding principle. We’re passionate about making advertising better for everyone through our consent-based approach that empowers the world’s largest publishers, brands, and agencies to achieve their goals with integrity, transparency, and peace-of-mind. We are looking for a Machine Learning / Data Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This position is full-time with the option of working on-site from our NYC headquarters. Jun Group will only consider candidates for this position who are currently legally authorized to work in the United States. Responsibilities include • Contribute to exciting greenfield projects, • Develop data pipelines supporting ML model development and applications, • Experiment with emerging technologies and contribute to designing new ML models and systems, • Collaborate with our server engineering team to improve our existing machine learning models and tooling, • Use Kanban to manage multiple releases per week, • Maintain high code quality through code reviews and automated tests Here are a few indicators that you're the right person • You enjoy a fun, creative, and engaging working atmosphere free of brilliant jerks, • You want to be part of a small team inside a large company with massive opportunity for growth, • You enjoy collaboration with other teams including product, biz dev, and our in-house QA team, • You eagerly dig into complex engineering problems Preferred skills and experience • You have hands-on experience implementing production machine learning systems at scale in Python, • Expertise with Python ML libraries like TensorFlow, PyTorch, Scikit-Learn, • Familiarity with ML tools like MLFlow, Ray Serving, • Familiarity with building data pipelines including SQL and manipulating large structured or unstructured datasets for analysis, • Familiarity with AWS and Google Cloud big data products Some company benefits include • Competitive Pay, • Hybrid Work Life, • Health, Dental, and Vision Insurance, • Mental Health Resources, • Volunteer Opportunities Greater NY-area Residents: We currently have a hybrid remote work policy. All Jun Group employees living within a 90-minute (one way) commute of our NYC office are expected to be in the office three days per week. Salary Range: $130,000 - $150,000, plus incentive pay We’re open to allowing the right person to learn our industry on the job. We welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords. Communications regarding your application will only come from @___ or @___ email addresses.

Aescape is looking for a Data Analyst to be the founding member of our data team, our go-to expert to work directly with stakeholders to run experiments and help teams make critical business decisions with data. While we already have a working stack and tools in place you'll be responsible for defining our analytics strategy, investigating new AI tools and capabilities, and ensuring our metrics accurately reflect business performance. This is an amazing opportunity for you to develop our data practice along with your strategic analytics skills while working at the intersection of robotics, AI, and wellness. If this sounds like you, we'd love to hear from you! Aescape is the NY-based lifestyle robotics company redefining self-care. Backed by $128MM in funding from investors like Valor Equity Partners (an early investor in Tesla and SpaceX), we launched the world’s first-to-market AI-powered robotic massage experience with Equinox in August 2024 and quickly went viral: ___, ___, ___, ___, ___, ___ and ___ are only some of the leading publications that have covered our technology, with celebs like Will Smith ___. Since then, we’ve announced partnerships with global industry leaders across hospitality, pro sports, corporate wellness, and luxury real estate — with more on the horizon as we supercharge growth. As a Data Analyst at Aescape you will… * Serve as Aescape’s data expert, helping teams across the company deepen their understanding of metrics and analytics, turning business questions into actionable data. * Define, operate and scale our data infrastructure, establishing golden tables, metrics, and ensuring pipeline health, working with external vendors where needed. * Partner with product and marketing to design, plan and execute experiments and analyze results that drive strategic decisions. * Build automated reporting systems and self-service analytics components for common business queries, present to leadership when required. * Own KPI definition and reporting, surfacing trends and anomalies across the business. * Lead customer satisfaction measurement initiatives with product and engineering. * Create our AI/analytics roadmap and continuously optimize our data stack for scale. * Advanced SQL expertise and proven ability to transform sometimes messy or unstructured data into reliable, scalable systems. * Strong stakeholder management skills with ability to translate business requests into technical specifications, pushing back when appropriate. * Track record of building automated analytics solutions and reducing manual processes. * Experience with experimentation frameworks, A/B testing, and statistical analysis. * Strong communication skills to present complex data insights to non-technical audiences. * Ability to diagnose data issues quickly and a drive to continuously improve and automate. * Comfort working and making decisions with incomplete information. * You have Python & Pandas experience for data analysis. * You’ve experience building a data warehouse & analytics stack from the ground up. * You have expertise in statistical analysis and predictive modeling. * Join a trailblazing tech company anticipated to transform the massage industry. * The chance to make a difference with a product that empowers healthier and happier living. * Team culture driven by passion, ambition, empowerment, inclusion, curiosity, and fun! * We’ll grow together – your personal and professional growth are equally important. * An environment that empowers individuals, emboldens teams, and rewards achievement. * Early stage equity in a company led by serial entrepreneurs with multiple exits. * Free massages in SF, NY HQ and our Partner locations! * Medical, vision, and dental insurance covered by us. * 401k with 4% company match. * Unlimited vacation, generous parental leave. * Working late? Dinner is on us. * Competitive pay + bonus + equity plan. The salary range for the role is $110,000-$140,000. At Aescape, we're on a mission to redefine self-care for a better world, and we're seeking trailblazers to join us on this journey. We're inspired by individuals who are passionate, driven, and eager to learn. We value diverse perspectives and resourceful, determined individuals who are committed to making a difference. At Aescape, we empower people to reach their full potential, just as our product empowers better living. If you're ready to innovate, create, and make a meaningful impact, we want you on our team. YOUR JOURNEY. YOUR AESCAPE.

Luminary Group is currently partnered with a leading life science company who are seeking a highly skilled and experienced Senior Data Scientist with expertise in Real World Evidence (RWE) to join their team. As a Senior Data Scientist, you will be responsible for driving the analysis and interpretation of real-world data to generate valuable insights and support evidence-based decision making in the healthcare industry. • Lead and guide the development and implementation of data mining and statistical modeling techniques to analyze complex real-world evidence (RWE) datasets., • Preprocess and clean large-scale real-world data to ensure data quality and integrity., • Apply advanced statistical and machine learning algorithms to extract meaningful insights and patterns from RWE data., • Develop predictive models to forecast outcomes and trends based on real-world evidence., • Collaborate with cross-functional teams to interpret analysis findings and communicate results to stakeholders., • Stay up-to-date with the latest research and advancements in data science and real-world evidence., • Implement data visualization techniques to effectively communicate analysis results., • Lead the development of data-driven products and solutions for the healthcare industry., • Mentor and provide guidance to junior data scientists., • Bachelor's degree in data science, computer science, statistics, or a related field; advanced degree preferred., • Minimum of 5 years of experience as a Data Scientist, preferably with a focus on real-world evidence (RWE) and the healthcare industry., • Proven track record of successfully leading and implementing data science projects., • Strong knowledge of data mining, statistical modeling, and machine learning algorithms., • Proficiency in programming languages such as Python or R for data manipulation and analysis., • Experience with data visualization tools, such as Tableau or Power BI., • Solid understanding of database systems and SQL for data querying and manipulation., • Excellent analytical and problem-solving skills, with the ability to find insights in complex datasets., • Strong communication and collaboration skills, with the ability to work effectively in a team environment., • Experience with healthcare data and familiarity with healthcare data standards is highly desirable., • Understanding of regulatory requirements and ethics related to data analysis in healthcare.

Dorsia is at the forefront of hospitality tech innovation. We are revolutionizing the way people experience dining by leveraging cutting-edge technology to offer exclusive restaurant reservations and VIP experiences. Join us as we continue to expand our footprint and reshape the hospitality industry. We’re looking for a Machine Learning Engineer to join our growing team and own the development of intelligent systems that power core product features, personalization, and operational efficiency. You’ll work across the stack—from data pipelines and model training to inference infrastructure and product integration. This is a hands-on, full-stack ML role with a direct line to impact—shaping how members discover experiences, how restaurants manage demand, and how our business scales. What We’re Looking For Must-Haves • 5–10 years of experience in software or ML engineering, • Experience building,shipping and scaling ML models in production (NLP, ranking, classification, etc.), • Strong programming skills in Python and SQL and a good understanding of best practices in software and data engineering, • Familiarity with ML tooling (PyTorch, TensorFlow, scikit-learn), orchestration (Airflow, dbt), and deployment Nice-to-Haves • Experience working on recommender systems, reinforcement learning, graph-based models, marketplace dynamics, or pricing systems, • Understanding of retrieval systems, embeddings, or vector search, • Experience in luxury, hospitality, or marketplace products, • Familiarity with feature stores, and observability tools, • Startup mindset: high agency, comfort with ambiguity, bias to ship Tech Stack Snapshot • Languages: Python, TypeScript, PHP, • Modeling & ML: PyTorch, Hugging Face, scikit-learn, LangChain, • Data: dbt, PostgreSQL, Redis, Airflow, Metabase, • Infra: AWS, Cloudflare, Vercel, Terraform, GitHub Actions Compensation & Benefits: • Salary ranges are based on paying competitively for our size and stage. We determine our pay by considering skills and experience related to the role, location, and ensuring internal equity relative to other Dorsia employees, • Flexible PTO, • Medical, dental, and vision insurance, • FSA, • Commuter benefits, • Free membership to One Medical, • Teladoc, • Talkspace, • Kindbody, • 401(k), • In-office lunch 3 days a week, • Employee Dining Credits Compensation commensurate with experience. Compensation: New York Pay Range$100,000—$200,000 USD Our Core Values Lead with hospitality. We respect the craft and precision that are intrinsic to the hospitality industry. We are a team diverse in background and thought, built to be the connective tissue between artists, chefs, diners, and members. Mise en place. We are persistent in preparation, prioritization, and focus to anticipate our customers’ needs to create a powerful platform rooted in simplicity and elegance. And we know that details matter, which is why superior design is crucial to our brand ethos. Thoughtful design is baked into everything we do—our product, brand, creative, culture, and beyond. Go around the table—then commit. We know creativity takes feedback and iteration, and differing opinions can lead to healthy debate. While we encourage all voices to speak up and be heard, we are geared toward action and unify around the decision once it's made. Sometimes an individual idea or project may not be what’s best for the company, so don’t be afraid to kill your darlings. Our product is our signature dish. We are a product and marketing-led organization. Protecting our brand and vision needs to be top-of-mind with every move we make. Optimize turn times. We are creating beautifully-designed, tech-forward solutions to automate all sides of our business: for members, restaurants, and employees. And we’re laying a data-rich foundation to enable all stakeholders to make better decisions and enjoy the finer things in life. Savor it. We eat slowly and celebrate the wins we share with those around the table. We’re in this for the long-haul, so enjoy the ride. Stay hungry. We can change the world or someone else will. We believe in a sense of urgency to keep pushing toward our goals. And there’s always room for dessert, because there’s always more to do.