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The Company You’ll JoinAt Qloo, our cutting-edge Taste AI technology leverages extraordinary amounts of data—over half a billion records of public figures, places, and things, plus a globe-spanning consumer behavior and sentiment database—to unearth deep insights about consumer preferences. From understanding global travel trends to curating ___ based on your unique tastes, our Taste AI engine sifts through the noise to find the signals that matter. ___. Read more about our recent Series C funding ___. The Team You’ll Work With Reporting to the Director of Data Engineering, you’ll work cross-functionally across the Engineering organization to emphasize designing and optimizing data processing systems for maximum performance, efficiency, and accuracy. Our team is composed of top-notch engineers and scientists who are passionate about creating data-driven solutions that make a lasting impact. We are a growing team dedicated to advancing Taste AI. Hear what the team has to say – “The team culture at Qloo is highly collaborative and supportive, with a strong emphasis on mutual assistance. Each team member is approachable and committed to lending a hand, creating an environment where everyone feels supported and valued...” - Sreekant, VP of API Engineering. The Impact You’ll HaveYou’ll be playing a pivotal role in creating robust data pipelines that power Taste AI and make the results accessible through our API. You will be responsible for understanding the intricacies of the data sources to architect, develop, and improve our automated data pipelines. Our ideal candidate will immediately provide value by:+ Designing, developing, and maintaining automated data pipelines on Airflow using Python, PySpark, and SQL (Presto/Trino) + Ensuring data quality by being proactive in catching and rectifying quality issues in underlying data+ Collaborating with data scientists and other engineers to define data requirements and structures+ Writing unit tests and conducting system testing to ensure the reliability and integrity of data+ Optimizing data pipelines for maximum speed, scalability, and accuracy+ Staying up to date with emerging trends and technologies in data engineering, data processing, distributed computing, and data quality assurance To be a successful match, you must have:* 2 - 5 years of experience in data engineering* Bachelor's degree in computer science, software engineering, or a related field* Experience with SQL. Experience with Spark would be preferred,but not a requirement* Experience with automating data processing through Python libraries like Airflow* Strong problem-solving and analytical skills with keen attention to detail* Experience with AWS or other cloud platforms* Ability to manage multiple projects simultaneously and meet tight deadlines What We Offer* Competitive salary and equity package, and holistic perks and benefits, including:- 100% health insurance coverage, with ability to join group dental and vision for a nominal fee- Team lunches every Thursday in NYC office- 4% 401K matching- 20 paid time off days- 5 paid sick days- 12 weeks of paid parental leave- 10+ annual company holidays * Opportunities for professional development and growth within a dynamic environment* A supportive and inclusive company ethos where your ideas are valued, your contributions are recognized, and your impact is tangible* The chance to be part of a small but mighty team that's making waves in the industry and shaping the future of technology* Beautiful HQ in Soho, NYC with the opportunity to work in-office, if desired We are open to different backgrounds and tenure for this hire and compensation will be commensurate with experience. Please note that equity may also be included in our total package, depending on role and level.$120,000 - $150,000 a yearWe are open to candidates with different backgrounds and levels of experience. Compensation will be commensurate with experience, and equity may be included in the total package depending on role and level.

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.

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.

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.

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

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.

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 ___.

___ 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

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

Company And Culture Created in 2002 by Marc Eckō, Complex is a leading global youth entertainment network showcasing the evolution of major pop culture categories, including streetwear and style, music, sneakers, and sports. Complex is a juggernaut in the content and culture space, delivering unprecedented global reach. Complex is the world’s definitive cultural commerce, content, and experiential platform. We have created an all-new operating system built for the next generation, seamlessly integrating discovery, inspiration, community, and shopping. The company represents an expansion of the original vision with a deep understanding of convergence culture and its impact on contemporary society. Whether through video, long-form editorial, or social content, Complex tells stories that engage dynamic conversation with our communities. Our internet-breaking cover stories document the heroes of culture and take them to the next level through product collaboration and ___hoppability. Complex has become experts in creating immersive environments at our IRL experiences and cultural events. ComplexCon is our flagship festival bringing together the world’s most influential brands and artists for an unforgettable weekend of style, sneakers, art, design, food, music, inspiration and more. Join us to help redefine the way people shop, while building a global marketplace that moves at the speed of culture. Complex is committed to building a high performing team that is passionate about what they do and the communities we serve. Everyone at Complex truly believes in the company and its mission; it’s a requirement for working here. There is synergy within the teams that make Complex what it is, a well-oiled machine. Employees are at the forefront of the company's success because every one of us is given the opportunity to provide suggestions, feedback, and direction. About the Role We're seeking a Data Engineer to join our team who will be responsible for designing and building scalable data solutions that power our analytics and machine learning capabilities. In this role, you'll ensure data quality, reliability, and accessibility across the organization while working with various stakeholders to translate business requirements into technical solutions. \n What You Will Do • Design and implement scalable data pipelines using SQL and Python while maintaining efficient data models, • Develop comprehensive monitoring, testing, and alerting systems to ensure data quality, • Deploy and manage data applications using AWS cloud technologies (S3, EC2, Lambda), • Support machine learning initiatives through feature engineering and data model optimization, • Build tools and processes to improve team efficiency, • Create and maintain technical documentation while collaborating with analysts and stakeholders, • Work on analytics platform enhancement and cloud infrastructure management, • Participate in cross-functional collaboration initiatives Who You Are (Required): • Experienced professional with 3+ years of programming experience with SQL for data exploration and relational modeling, • Proficient in Python with 3+ years of experience building and maintaining data pipelines, • Well-versed in OLAP databases (Snowflake or Databricks), • Knowledgeable in AWS services (S3, EC2, Lambda), • Experienced with Apache Airflow or similar orchestration tools (Dagster, Prefect), • Understanding of big data frameworks like Apache SparkStrong analytical and critical thinking skills, • Experience with data experimentation and statistical analysis Who You Are (Preferred): • Experience with Shopify data integration, • Background in machine learning feature engineering, • Knowledge of data governance and security best practices, • Experience with real-time data processing, • Familiarity with data visualization tools, • Experience working in an Agile environment What We Offer • Best in class health, dental, and vision insurance, • Healthcare FSA, • Dependent Care FSA, • Commuter Benefits FSA, • Short-term/long-term disability and life insurance, • Paid Parental leave, • 401k with 4% match, • Pet Insurance, • Legal and Identity Theft Plans, • Vacation time and sick days \n$110,000 - $120,000 a yearThe Pay Range, which consists of salary and commission, for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Complex Total Rewards offerings for employees.\n We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. The above statements cover what are generally believed to be principal and essential functions of the job. Specific circumstances may allow or require some incumbents assigned to the job to perform a different combination of duties. Complex participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

___ 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.

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 Lab49:Lab49 is a global consultancy specializing in designing and building next-generation digital products for leading investment banks, asset managers, hedge funds, and fintech innovators. We bring together strategy, design, and engineering to help our clients transform their businesses and stay ahead of the curve in a rapidly evolving landscape. The RoleWe are seeking a Lead Data Scientist to join our team and drive advanced data science solutions for one of our clients. This is a client-facing leadership role, blending deep technical expertise with the ability to advise stakeholders, shape data strategies, and guide teams to deliver high-impact outcomes.You’ll work on cutting-edge problems in data analytics, machine learning, and predictive modeling, helping the client unlock the value of their data and enhance decision-making capabilities. • Partner with stakeholders to define data science opportunities, shape problem statements, and deliver impactful solutions., • Lead end-to-end data science projects—from exploration and modeling to deployment and performance monitoring., • Mentor and guide a team of data scientists and data engineers; set best practices for modeling, experimentation, and validation., • Design and implement predictive models, optimization frameworks, and machine learning algorithms tailored to complex business use cases., • Develop and present compelling visualizations to convey complex data relationships through clear and insightful static graphics., • Communicate complex technical concepts clearly to senior stakeholders, clients, and non-technical audiences., • Collaborate with Lab49’s design and engineering teams to embed data science models into scalable digital products., • Stay ahead of industry trends, research, and emerging technologies in AI/ML, with a focus on practical business applications., • 8+ years of experience in data science, including at least 2–3 years in a lead/principal role., • Strong background in applied machine learning, statistical modeling, and predictive analytics., • Proficiency in Python (Pandas, NumPy, Scikit-learn, Matplotlib, PyTorch/TensorFlow) and SQL; experience with big data tools (Spark, Databricks) is a plus., • Strong understanding of model deployment, MLOps practices, and productionizing ML solutions., • Proven ability to create effective data visualizations for storytelling and decision support., • Excellent client-facing skills, with the ability to communicate technical concepts and business impact., • Master’s or Ph.D. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field., • Some fluency in blockchain and smart contract analytics.Lab49/ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business.Lab49/ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.

Lead the Future of Dentistry. Overjet is the world-leader in dental AI. Already, thousands of dental providers and insurers rely on our platform to deliver the best possible care. Now, we’re looking for talented people to fulfill our mission: improve oral health for all. Overjet is where builders become leaders. Everyone here loves to make new things: new products, new partnerships, new content, and a new category of AI technology. And as Overjet grows ridiculously fast, so will you. Simply put, there’s no better place to accelerate your career. Come join us! The Role Overjet is looking for an experienced Lead Data Analyst to join our Data & Analytics team. You’ll work shoulder-to-shoulder with our data engineers, data scientists, and customer success teams to deliver for our customers. You’ll have significant input into how the company develops its analytics to better support internal and external stakeholders at scale. Responsibilities • Collaborate with cross-functional teams to gather requirements, design analytical solutions, and deliver actionable insights to support business objectives, • Utilize Python, SQL, business intelligence tools, and statistical techniques to analyze large and complex data sets, identifying trends, patterns, and opportunities for optimization, • Collaborate on the construction and maintenance of data pipelines and ETL processes to ensure data integrity, quality, and observability, • Create compelling data visualizations and products using tools like Sigma to effectively communicate findings to internal and external stakeholders and enable self-service dashboards and tools, • Serve as a trusted advisor to external customers, providing expertise on analytics best practices and helping them derive value from Overjet’s unique data, • Stay informed about industry trends and emerging technologies to ensure that our analytics capabilities remain cutting-edge, • Collaborate with data scientists, data engineers, and product managers on data products, dashboards, and the company’s data infrastructure, • Create strong documentation and dictionaries to ensure users interpret KPIs and data in a consistent manner, • Ability to thrive in a fast-paced, technical, and mission-focused environment Qualifications • Excellent academic background in heavily quantitative and analytic related field, • Significant experience with increasing levels of responsibility working in data analytics/science, • Excellent technical proficiency in Python, SQL, and data transformation tools, • Strong familiarity with data visualization tools such as Looker, Sigma, Tableau, or Power BI, • Experience leading engagements with external customers on analytics projects, creating compelling data presentations, and mastery of working with senior leaders, • Excellent communication skills with the ability to translate complex technical concepts into easily understandable insights for non-technical stakeholders, • Strong problem-solving skills and attention to detail, • Experience working in SaaS, B2B software and at a high-growth startup, • Healthcare experience is a plus Why Overjet? • Competitive Compensation and Equity, • Hybrid workplace that provides flexibility, vibrant in-person workspaces, and the ability to build strong connections across all of Overjet - regardless of location, • 401k plans with a matching program, • Medical, Dental and Vision coverage: 99% employee premium covered, 75% dependent premium covered, • Life and AD+D Insurance, • 8 weeks Paid Parental Leave, • Optional HSA with Employer contribution, • Flexible Time Off and company paid holidays, • Annual Learning and Development Stipend, • Work from Home Stipend Our Hybrid Workplace We have a unique hybrid workplace at Overjet — which combines the teamwork of meeting in person, with the flexibility of working from anywhere. Many of our positions are based in San Mateo, New York City, Boston, Salt Lake City, and Lahore. The Jetsetters who live in these “geo-hubs” come to the office on Tuesdays and Wednesdays, while having the option to work from home the rest of the week. Our People Team is happy to answer any questions about what hybrid work means for your specific role! Overjet's Values • Excellence: We set ambitious goals and strive for excellence., • Velocity: We focus, act with urgency, and deliver results., • Ownership: We take ownership, dive deep and solve problems., • Win-win: We play to win, setting ourselves and our customers up for success., • Growth: We stay curious, seek feedback, and continuously learn and grow. Company Recognition • Honored as one of the ___and • Named one of the ___, • Named one of the, • Recognized in Newsweek’s ___, • Recognized in Newsweek’s, • Won the Dental Health category at the ___, • Won the Dental Health category at the, • Recognized as one of the ___, • Recognized as one of the, • Named one of the ___, • Named one of the, • Included on the definitive ___, • Included on the definitive, • Featured in Bloomberg, Forbes, Fast Company, and TechCrunch EEOC Overjet is an equal opportunity employer. We 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 diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. Even if you don't meet 100% of the qualifications for this job, we strongly encourage you to apply! If you are a Colorado resident: Please contact us by emailing to receive compensation and benefits information for this role. Please include the job title in the subject line of the email.

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, Boston or Chicago metropolitan areas. Curinos is hiring a Senior Data Engineer I 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. 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.

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.

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.

We are seeking a highly skilled Senior Data Analyst to join our Financial Crimes / Anti-Money Laundering (AML) team. This is a contract role. The ideal candidate will have a strong technical background and extensive experience in the financial crimes and AML space. This role involves analyzing and interpreting transactions, accounts, customers, alerts, and third-party data using advanced statistical and analytical tools to identify potential suspicious patterns, anomalies, and risks. Responsibilities: • Analyze and interpret transactions, accounts, customers, alerts, and third-party data using statistical and analytical tools to identify potential suspicious patterns, anomalies, and potential risks., • Utilize data analytics tools (e.g., SQL, Python, R, SAS) to support investigations teams and decision-making processes., • Design and implement financial crime detection models and scenarios., • Conduct root cause analyses on financial crime incidents to enhance detection and prevention strategies., • At least a bachelor's degree in data analytics or a related field., • Advanced degree in a related field (e.g., Data Engineering, Data Science, Statistics) preferred., • 3+ years of experience in the field., • Proven experience in the financial crimes / AML space., • Proficiency in Alteryx is strongly preferred., • Proficiency in data analytics tools such as SQL, Python, R, and SAS., • Experience with Hadoop environment is a plus but not required., • Strong understanding of AML/KYC regulations and practices., • Experience in designing and implementing financial crime detection models and scenarios., • Ability to conduct root cause analyses on financial crime incidents., • Excellent analytical and problem-solving skills., • Strong communication skills, with the ability to translate complex data into actionable insights. Minimum Hourly Rate: $55.00 | Maximum Hourly Rate: $70.00

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

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

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.

Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by ). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions. Overview Credit Genie is on a mission to empower our customers with financial stability and guidance. We believe Artificial Intelligence is the single most powerful tool to deepen that mission and redefine the future of fintech. To lead the charge, we’re building the AI Boost Team - a dedicated, high-impact group tasked with accelerating Credit Genie's transformation into an AI-first organization. This isn’t about incremental improvement. We’re targeting 10x output or 10x efficiency in our core processes. We’re looking for builders, innovators, and tinkerers who can turn ambitious ideas into tangible solutions—fundamentally reshaping how we work from the inside out. The Role We are hiring three AI Solutions Prototypers to form the core of our new AI Boost team. You are a technical expert with a builder mindset. Your mission is to rapidly design and build functional proofs-of-concept that demonstrate the "art of the possible" with AI. You will embed directly with teams across our business—from Marketing and Product to Customer Service and Risk—to uncover their biggest pain points and opportunities. You won’t just brainstorm; you will build. Using low-code tools, APIs, and your own ingenuity, you will create working prototypes that make the potential of AI tangible, paving the way for company-wide adoption of transformative solutions. This is a unique opportunity to be part of a lean "strike team" at the heart of our company's most critical strategic imperative: becoming a leader in the AI revolution. What You’ll Do * Partner with business leaders to uncover high-impact AI use cases. * Rapidly prototype and validate AI solutions—often within days, not weeks. * GenAI APIs (OpenAI, Anthropic, Gemini, etc.) and agent frameworks (LangChain, CrewAI, etc.) to bring ideas to life. Note: we’re constantly evolving our toolbox, investing in the latest technologies. * Evaluate third-party tools and hacks—choose speed over perfection. * Hand off validated solutions to Engineering / AI teams for full implementation. * Evangelize AI across the org: run demos, share learnings, and be the go-to internal expert on "what’s possible." Who You Are * You’re obsessed with AI. You stay plugged into the latest models, tools, and trends—experimenting with GPTs, building weekend projects, and exploring what’s possible. * You’re a rapid builder. You move from idea to prototype in hours or days. You're scrappy and biased toward action. * You have technical fluency. You know Python and SQL, and are comfortable reading and writing code—even if you’re not a full-time engineer. * You’ve got a portfolio. Whether it’s personal projects, hackathons, or freelance gigs, you’ve shipped AI-enabled tools and can show your work. * You learn fast. You're constantly evolving and aren’t afraid to jump into the unknown. * You’re collaborative. You love talking to users, solving real problems, and iterating with feedback. * You’re creative. You see unconventional solutions, think laterally, and love turning wild ideas into working demos. Why Join the AI Boost Team? * You’ll be on the ground floor of Credit Genie’s most ambitious initiative. * You’ll work across departments, solving diverse, real-world problems with AI. * You’ll have the freedom to build and break things—we value learning over polish. * You’ll grow fast, learn fast, and shape the way an entire company adopts AI. Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. * 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment. * Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness * 401(k) with a 2.5% match and immediate vesting * Meal program for breakfast, lunch, and dinner * Life and accidental insurance * Flexible PTO Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

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

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

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

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.

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!

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

Cloud DevOps Engineer Location -Lincoln Mass Onsite About Wingbrace Wingbrace (___) is a mission driven, customer-focused Service-Disabled Veteran Owned non-traditional small business. We push the boundaries of engineering disciplines and emerging technologies to pioneer transformative data, systems modeling, and decision-intelligence platforms critical to national defense programs. We code, we architect, we engineer, and we have fun – whether simulating in a synthetic battlespace; pioneering in our AFFINITY Labs™ environment; or claiming first place at the annual hot-wings competition. Join us at Wingbrace and lean into the future. About You • You want to make tomorrow better than today., • You have a passion for discovery and detail., • You help ensure project success and client satisfaction., • You enjoy collaborative teams, partnering with team members and clients., • You like to work alongside, and learn from, lean and agile leaders., • You are a creative problem solver who is comfortable with uncertainty., • You’re a curious and keen learner who thrives on enhancing your (and our) practices and knowledge. As a Cloud DevOps Engineer at Wingbrace, you will be:, • Architecting and managing secure, high-availability systems, adhering to industry standards/best practices., • Learning and adapting to Azure/AWS cloud resources, with opportunities for formal training., • Managing a hybrid CI/CD environment utilizing both GOTS and OSS, supporting teams of developers., • Configuring and integrating authentication services across various web applications., • Supporting multiple build, release, and deployment pipelines., • Developing scripts to automate tasks and deployments in a cloud environment., • Documenting systems and processes for task tracking and team collaboration. Required Qualifications, • U.S. Citizenship a Must, • Secret Clearance a minimum, • 4+ years’ experience in Linux installation, implementation, configuration, testing (functional and security), operations, maintenance and system patching., • Understanding of network design/topologies, including edge services & point-to-point cloud VPN setup., • Experience supporting CI/CD tools like Jenkins., • Experience with Docker container technologies and deployments, such as Terraform/Kubernetes/OpenShift/Helm., • Understanding of high availability solutions such as clustering, failover, and geographic redundancy., • Strong communication, documentation, and interpersonal skills to work effectively with multiple contractors, government agencies and mission planning stakeholders., • Excellent communication skills, and a keen interest in collaborative work environments. Preferred Qualifications:, • Active Top Secret Security Clearance, • Microsoft Azure, AWS, RHEL, and/or Windows Server certification(s)., • Proficiency with a scripting programming language like Bash, Python, or PowerShell., • Proficiency with configuration management techniques using Ansible., • Familiarity with REST API calls and handling data in JSON or YAML formats., • Experience with the Atlassian Tools Suite (Jira, Confluence and Bitbucket)., • Familiarity with configuring and managing SQL databases such as PostgreSQL, MySQL, or MS SQL., • Experience with F5 BIG-IP Firewall Solutions, load balancers, and/or reverse proxies., • Familiarity with implementing Security Technical Implementation Guides (STIG)., • Flexible schedule, • Premium Insurance: We cover up to 80% of the employee premium and combined dependent premium on our base health plan, depending on pay band. We also cover 80% of the premium for employee and dependent Dental and Vision as well as employee premiums for Life and Disability coverage., • Retirement: 401k match at 4% gross pay., • Paid time off (PTO): vacation, sick leave, Federal holidays, and floating Holidays.

___ 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

We are looking for a Data Engineer to help us build structured, high-quality data solutions for our Content Understanding teams. Our teams process petabytes of data using tools such as BigQuery and Dataflow, and where needed we develop our own data tooling to support and evolve our music catalog. \n What You'll Do • Take ownership over, maintain and improve data pipelines that are integral to our success, • Evaluate and optimize our offerings for efficiency and reliability at scale, • Identify areas of architectural improvement to remove the potential for human error, • Collaborate with product and engineering teams to understand data requirements and create innovative solutions to challenging problems, • Understand the analytics data we collect from our systems and how it relates to the business value being produced Who You Are • Proven experience in data engineering, including creating reliable, efficient and scalable data pipelines for large data sets (especially in Python or Scala), • Experience in building and maintaining scalable backend systems, • Knowledge of cloud-based data platforms (AWS, GCP or Azure), • Strong collaboration and communication skills with technical and non-technical stakeholders, • Seek to participate in continuous improvement efforts such as software development, planning, estimating, developing and testing Where You'll Be • This role is based in New York City (USA), • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home \n$125.56 - $179.37 a year\n The United States base range for this position is $125,562 - $179,374 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.

Title: ___ Data Scientist Location: New York, USA Job Type: ___-time Overview: We are looking for a highly skilled Senior Data Scientist in New York to lead complex data analysis and model development, providing crucial insights for business strategy. Job Description: As a Senior Data Scientist, you will: Lead data science projects from conception to deployment. Develop and implement advanced machine learning models. Analyze large datasets to extract actionable insights. Communicate findings to stakeholders. Minimum Mandatory Requirements: Advanced degree in a quantitative field. Extensive experience (10+ years) in data science. Proficiency in Python or R and relevant ML libraries. Why Apply? Drive innovation and shape data-driven decisions in a vibrant city. Apply now at #___ Minimum Mandatory Requirements: Advanced degree in a quantitative field. Extensive experience (10+ years) in data science. Proficiency in Python or R and relevant ML libraries. Why Apply? Drive innovation and shape data-driven decisions in a vibrant city. Apply now at # Advanced degree in a quantitative field. Extensive experience (10+ years) in data science. Proficiency in Python or R and relevant ML libraries.

We are Rokt, a hyper-growth ecommerce leader. We enable companies to unlock value by making each transaction relevant at the moment that matters most, when customers are buying. Together, Rokt's AI-based relevance Platform and scaled ecommerce network powers billions of transactions. In December 2022, Rokt’s valuation increased to $2.4 billion USD, allowing us to expand rapidly across 15 countries. The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to better understand consumers. Our bespoke platform handles millions of transactions per day and considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology. 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. Compensation: $175,000 - $270,000 salary, employee equity plan grant & world class benefits. As a Senior Machine Learning Engineer, you have expertise in modeling, statistics, and programming. You will work with our engineering and product teams to design, build, and produce proprietary machine learning models to solve different business challenges, including user targeting and segmentation, dynamic Ads content generation, entity embeddings and recommendation models. About the role: • Work on a variety of Machine Learning projects in the Ads recommendation domain: user segmentation and targeting, user embeddings generation, Gen AI driven Ad content generation., • Leverage the latest Generative AI techniques to dynamically create engaging Ad content and model features., • Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, architect machine learning solutions., • Build and productionize machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc., • Contribute and maintain the high quality of code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc., • Keep track of emerging tech and trends, research the state-of-art deep learning models, prototype new modeling ideas, and conduct offline and online experiments., • Mentor other team members, facilitate within/across team workshops and lead the agile development., • Bachelor’s degree in Computer Science, a similar technical field of study or equivalent practical experience. A PhD degree in Machine Learning or Deep Learning is a plus., • 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring. Industry Experience in applied ML in Ads is a plus., • 2+ years of industry experience in software engineering roles and development experience in Python, Golang, Java, and/or other programming languages., • Concrete experience working with deep learning frameworks, either TensorFlow or Pytorch., • Experience working on Generative AI initiatives., • Strong understanding of software engineering best practices, • Be motivated, self-driven in a fast (we truly mean fast) paced environment with a proven track record demonstrating impact across several teams and/or organizations., • Ability to communicate and collaborate effectively with business stakeholders and manage tasks in a timely manner., • At Rokt we encourage autonomy; teams have complete ownership of their systems including building, running and monitoring. As such, you may be required to be on-call and respond to systems alerts should they arise. 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 $5000 training allowance, • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us!, • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance for your entire family!, • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town, • See the world! We have offices in New York, Seattle, Sydney, Tokyo and London We believe we’re better together. We love spending time together and are in the office most days (teams are in the office 4 days per week). We also get that you need to balance your life and your commitments so you have the flexibility to manage your own hours and can spend up to a week of every quarter working from anywhere. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

Who We Are Perchwell is the modern real estate listings platform built for agents to search smarter, collaborate better, and close deals faster. We are building the future of residential real estateʼs critical listings infrastructure: a platform where market research and client collaboration converge. Our modern architecture enables continuous innovation at a pace legacy systems cannot match, with AI-powered features and mobile-first capabilities designed for how agents actually work. As consumer expectations and technology evolve, Perchwell remains focused on our core vision: empowering real estate professionals with the most intelligent, data-driven, and connected platform in the industry. Backed by leading venture capital firms including Lux Capital and Founders Fund, along with strategic partnerships with some of the country's top Multiple Listing Services (MLSs), Perchwell represents the first major new platform to enter the listings technology market in decades. This unique combination of institutional investment and deep industry alignment provides both the resources and market validation needed to transform the multi-trillion dollar residential real estate industry. As a Senior SRE, you will help own and improve the technical foundations of Perchwell while exemplifying engineering rigor and excellence across our engineering culture and strategy. You will be helping execute large strategic technical initiatives within the SRE domain. You have deep experience in building and operating infrastructure for large production systems. You’ve owned or have highly opinionated views on what good observability is and help other teams see the light. You are rigorous and meticulous in your work and hold others to the same high engineering standards. You believe the best way to help others is to provide them the tools they need to get their job done in a safe and efficient manner and have a demonstrated history of success enabling product teams to quickly innovate and iterate. You will work closely with the VP of Engineering and other senior leaders to tackle and remediate our current problem set while also building net new capabilities. You will build important relationships and partner deeply with our product and QA organizations. The SRE team is responsible for building the ability to innovate faster in a safe and reliable way. Reliability, resiliency and adaptability are our north stars. This role has an on-call requirement. We believe that in an ever-changing, innovative environment, we do our best work when we are working as a team in-person. In this role, you’ll work out of our New York City HQ in Soho Manhattan at least 3 days/week. * Design and build scalable processes and solutions to fundamental engineering challenges * Design and manage scalable, secure AWS infrastructure * Partner with the Quality Team to own the CI/CD processes and enable fast, safe and frequent deployments * Contribute to and evolve our Kubernetes infrastructure and strategy * Build and manage safe self-service methods for our teams to manage their infra via Terraform and other automation tools * Be a champion of observability ( o11y ) by owning our o11y systems and establishing and enforcing best practices throughout the engineering organization around performance and service monitoring * Participate in and help improve our incident management and disaster recovery processes * Partner with FinOps and feature teams to manage infrastructure spending by identifying and optimizing costs saving strategies * BS or MS in Computer Science, related technical field, or equivalent experience * Distributed systems experience * Deep experience with AWS cloud services such as: EC2, RDS, EKS, CloudFront, ECR, S3, IAM, CodeBuild, Lambda, and Route53 * In-depth knowledge of Kubernetes, including experience with deploying, managing, scaling, and orchestrating clusters and automating/exposing this to other teams * You’ve built tools and or enabled automation for your team or others * You’ve used at least one programming language ( ex: python, golang, rust ) to solve problems and close feature gaps of your tools * Demonstrated pattern of systems thinking leading to organizational impact and strategic problem solving * The ability to go deep across service, database and infrastructure boundaries for design and performance related work * 5+ years of experience in a dedicated SRE role * AWS Well Architected Framework experience * Experience with Event Driven System designs and the required messaging technologies and patterns ( kafka, nats, aeron ) * Experience with security frameworks and tools for hardening environments and systems * Experience with different types of databases and their architectures * Experience with the Ruby on Rails ecosystem, and understanding of Rails-specific quirks * Experience with the management and scaling of Elasticsearch Salary Information To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. Our ranges are based on function and level benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including skills, job-related knowledge and depth of work experience. The base compensation range for this position is expected to be between $170,000-$230,000/year + equity + benefits. Note: At this time, we are only considering candidates who are authorized to work in the U.S.

We’re looking for a Senior Applied Machine Learning Engineer to design and deploy intelligent systems to automate infrastructure workflows. You’ll work hands-on with cutting-edge technologies—LLMs, knowledge graphs, and advanced retrieval systems—to build scalable, agentic systems. You’ll rapidly prototype, experiment, and take projects from concept to production. If you thrive in fast-paced environments and are passionate about applied AI, this is the role for you. ___ is building the___. We're starting by creating a platform that investigates, resolves, and prevents issues—giving engineers their time back to focus on what they do best: building great products. * At least 5 years of experience in applied machine learning or a related role, preferably at a high-growth company * Demonstrated ability to design and deploy large-scale machine learning systems that add new value to the product. * Strong on ML fundamentals: classification/regression, clustering, dimensionality reduction, evaluation & error analysis, probabilistic ML * Real world expertise in one area of applied ML: search, statistical modeling, NLP, etc. * Experience constructing and running end-to-end evaluation pipelines with real world data. * Proficient in Python and Typescript, with experience using common ML libraries and data engineering tools. * Strong problem-solving skills, with a focus on creating highly maintainable, scalable code. * Excellent communication and collaboration skills. * Comfortable with iterative development, prototyping, and adapting quickly to feedback. * Hands-on experience with vector/hybrid search. * Experience with dataset curation or synthetic dataset generation for novel problem domains. * A passion for staying ahead of applied AI trends and prototyping emerging technologies. * Contributions to open-source ML tools or libraries. * Experience with Go or another systems language. * Identify as a builder * Are excited to work in-person from our new and spacious office in New York * Love working in a startup environment (experience in a startup or obsession with going zero-to-one) * Enjoy working with people who are ambitious, caring, and think in systems * Thrive in a fast-paced iterative environment where experimentation is essential * Pay & ownership — Competitive salary with generous equity grants. * Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits. * Unlimited PTO — Take the time you need to recharge. * Dinner on late nights — Working late? Dinner is on us. * Fitness stipend — Monthly support for your health and wellness. * Tools of the trade — Any equipment you need to do your best work. * Commute perks — Citi Bike + train benefits. * Application Review – Send us your stuff, and a quick note on why you're excited. * Intro Chat: Share what you're looking for next and learn more about what we're building. * Founder Interview: Talk with one of our founders in more detail about the role * Technical Interview: We’ll have you complete a short exercise specific to the role. * Onsite: Come onsite and meet the team through a series of 1:1 interviews. * Decision – We’ll move fast.

Description: Chaos Labs is the first automated, on-chain economic security system enabling crypto protocols to optimize risk management and capital efficiency while protecting user funds. We use world-class custom EVM and on-chain simulations to understand protocol mechanics and scenario implications. Our platform and tools are used by leading protocols, helping them manage and secure billions of dollars in assets such as Aave, Benqi, Osmosis, Uniswap, and more. We’re scaling the data science team in our New York (Williamsburg) office to help build trailblazing models and products to better secure DeFi protocols. This team will be influential in building financial simulation models to monitor and optimize risk across DeFi. We are looking for candidates with domain expertise in financial modeling and a deep interest in crypto. Responsibilities • Work alongside leading crypto engineers and product managers to deep dive into market-leading protocols and help drive game-changing insights and predictions (see example), • Lead and drive innovative research to understand how different actors in the crypto market behave and interact, and drive modeling of such actors into Chaos Labs’ simulation platform, • Present your insights and suggestions to audiences both internally and externally with the opportunity to publish industry-defining research, • Explore new algorithms and techniques to surface insights in DeFi security and optimizations, • Build data models and visualizations of public blockchain data and simulation results that provide intuitive analytics to customers such as AAVE, Uniswap, dydx, and others Requirements: • 4+ years of professional experience in Data Science - a must, • Previous experience in FinTech or DeFi domains - a must, • Experience in derivative trading - a plus, • Broader understanding of crypto and blockchain ecosystem - a plus, • Solid understanding of machine learning techniques and algorithms, • Hands-on experience with Python and relevant data science packages, • You love working in small, dynamic, fast-paced teams that encourage you to learn and grow, • Bonus points for prior web3 experience using Dune or writing smart contracts, • Based in NYC with the ability to work from our Brooklyn office. Our Perks: • Competitive PTO (21 days) + sick days (7) + 8 observed US-company holidays., • 100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents., • FSA or HSA (pending on selected health insurance)., • Generous 401k plan with employer match., • Thoughtful Parental Leave Policy., • Corporate wellness programs with OneMedical, Teladoc, Talkspace, EAP., • Career growth opportunities at a rapidly expanding, global technology company in an emerging field with personalized professional development., • Pre-tax Commuter Benefits., • Salary and seniority level commensurate with experience (range: $130-150K USD)

ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. About the Role You’ll design, build, and maintain the robust data pipelines and infrastructure required for large-scale AI research. Your work will ensure that researchers and engineers have clean, reliable, and high-quality data for every experiment. Responsibilities * Build and operate ETL pipelines for large, heterogeneous datasets. * Develop and manage storage, cleaning, labeling, and data access infrastructure. * Build tools for data quality, validation, and monitoring. * Collaborate to create datasets and benchmarks for novel ML problems. Requirements * Strong software engineering skills (Python, SQL, PySpark, data infra tools). * Experience scaling data pipelines in cloud or hybrid environments. * Ability to work with unstructured, messy, or adversarial data. * Curiosity and rigor about data quality, privacy, and reproducibility. Why Join ATG We're building a small, elite team. If you're excited by AI, finance, and building from first principles, we’d love to meet you. * Work on AI with real stakes * Early team of repeat founders and ex-researchers from top companies * High agency, zero bureaucracy environment

Job Title: Cloud DevOps Engineer / Architect Location: [New Jersey | Remote] DataEconomy is seeking highly skilled Cloud DevOps Engineers / Architects with deep Terraform expertise and a proven track record in automating and operating enterprise-scale infrastructure through Infrastructure as Code (IaC) practices. This is a critical role supporting tier 1 financial applications, with an emphasis on security, high availability, and automation at scale. The ideal candidate will demonstrate mastery of Terratest, extensive experience in integrating with security and certificate management tools such as Ping, HashiCorp Vault, and Venafi, and a strong understanding of AWS, DevOps toolchains, and infrastructure security. Key Responsibilities · Design, develop, and maintain scalable Terraform modules for infrastructure provisioning on AWS. · Implement Terratest-based testing for infrastructure validation and enforce best practices. · Build and maintain secure, resilient infrastructure for financial and mission-critical applications. · Integrate infrastructure workflows with security platforms (e.g., Ping, Vault, Venafi) for certificate management and identity federation. · Architect and implement CI/CD pipelines for infrastructure and application deployments. · Support application migration of critical financial systems to AWS cloud platforms. · Collaborate with platform, security, and networking teams to ensure compliance and operational excellence. · Provide technical leadership in driving automation, observability, and DevOps maturity. Required Skills & Experience · 5+ years hands-on experience with Terraform, including reusable modules, state management, and remote backends. · 7+ years of DevOps experience with tools such as Jenkins, Git, Python, Docker, and Kubernetes. · 3+ years experience working with core AWS services (EC2, IAM, VPC, S3, EKS, etc.). · 5+ years experience in networking, EKS, AWS Firewall Manager, and AFT. · 5+ years experience architecting and deploying high-availability financial trading platforms. · 3+ years implementing or supporting financial systems, with emphasis on reliability and security. · 6+ years of designing and implementing CI/CD pipelines for critical systems using modern tools. · 4+ years of experience migrating financial IT applications to AWS cloud environments. · Hands-on experience integrating with HashiCorp Vault, Venafi, and PingFederate or similar tools for certificate and secret management. Preferred Qualifications · Experience with Terragrunt and managing IaC across multi-account AWS environments. · Familiarity with AWS Control Tower and Account Factory for Terraform (AFT). · Exposure to regulated industries (finance, healthcare) with compliance standards (e.g., SOX, PCI-DSS). · Experience with infrastructure observability and tools like CloudWatch, Prometheus, Grafana. · Strong communication skills and experience in leading technical discussions with cross-functional teams. Certifications (Nice to Have) · HashiCorp Certified: Terraform Associate · AWS Certified Solutions Architect – Associate / Professional · Certified Kubernetes Administrator (CKA)

Nielsen Global Media collects billions of data points on what consumers watch and buy. We study consumers in more than 100 countries, and help our clients globally identify unmet needs, develop new products and deliver them in an engaging way. We are constantly evolving, not only in terms of where we measure, or who we measure, but in how our insights can help drive profitable growth. DESCRIPTION Develop and apply machine learning and predictive models to enhance digital measurement. Engineer predictive features for use in our current data modeling pipelines. Manage projects through all phases, including data quality, analysis design, algorithm/feature development, predictive modeling, summarization, visualization, and communication of results. Enhance and evolve existing solutions to meet changing business needs with agility. Independently develop custom production level Python and SQL code. Use Git and cloud development tools extensively to iterate and improve data science work streams. Write well documented production level Python scripts and participate in code reviews. Collaborate with our software engineers and product leaders as you integrate and test new or updated modules in production pipelines. Identify gaps in data capture or data quality, and surface the value attached to filling those gaps. Perform deep dive analysis of key business trends from different perspectives and package the insights into easily consumable presentations and documents using visualization tools such as Tableau. Serve as critical Data Science subject matter expert, initiate methodology discussions with relevant stakeholders, and provide final Data Science recommendations. Remote work permitted five (5) days a week from within New York area, NY. QUALIFICATIONS: Master’s degree (foreign equivalent degree acceptable) in Mathematics, Statistics, Computer Science, Engineering, Machine Learning, Information Science or related field and two (2) years of experience in a data science role. Must have two (2) years of experience in/with: advanced coding in Python and SQL; code development using Git and code versioning; cloud-based environments, including AWS; Microsoft Excel or Google Sheets; and Tableau; building and maintaining Machine Learning or Deep Learning based methodologies. Remote work permitted five (5) days a week from within New York area, NY. Salary: $119,600 to $155,000/year, M-F, 40 hours a week. About Nielsen: Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. #LI-DNI #IND-DNS \n \n

About Us MarketAxess is on a journey to digitally transform one of the world’s largest financial markets, enabling the shift from analog, phone-based trading to a fully electronic marketplace. Why does this matter? Because our platform makes trading fixed-income more accessible, ultimately improving transparency, efficiency, and competition in the marketplace. Changing the way an established industry transacts is no easy feat. There will be twists and turns, because no one’s ever done this before. But now, more than 2,000 clients around the world rely on our solutions, and that number is only expected to grow in the years ahead. We know where we’re going. How we get there is up to us. Join us and help Take Us There. The Role We are seeking a hands-on Senior Full Stack DevOps Engineer to join our Data and Analytics Platform team, driving the design and implementation of our next-generation cloud-based, streaming Data Mesh platform. This role is pivotal for enabling teams to create scalable, data-driven products and advancing our application modernization strategy. Our Vision We believe in building a modern, scalable data platform that empowers teams across the organization. Our vision is to create an infrastructure where data can be efficiently processed, stored, and accessed in real-time, enabling innovation and data-driven decision making at scale. Our next-generation streaming platform will transform our data capabilities into a strategic asset. Through well-designed architecture and automation, we aim to: • Provide teams with self-service infrastructure and tools, • Enable real-time data processing and analytics, • Create reliable, scalable, and cost-effective solutions By embracing cloud-native technologies, event-driven architectures, and modern data infrastructure patterns, we will deliver a seamless platform for processing, discovering, and utilizing trusted, connected, and real-time data. Our focus on automation, observability, and developer experience will ensure teams can move quickly while maintaining reliability and security. How You’ll Help Take Us There Design and Implement Cloud Infrastructure: Architect and deploy scalable cloud infrastructure using Infrastructure as Code (IaC) principles to support our Data Mesh platform. Experience with major cloud providers (AWS/Azure) and modern IaC tools (Terraform, CloudFormation) is essential. Build Automation Pipelines: Develop and maintain CI/CD pipelines for data products, ensuring reliable deployment, testing, and monitoring of data infrastructure and applications. Experience with tools like Jenkins, GitLab CI, or GitHub Actions is required. Implement Platform Observability: Design and deploy comprehensive monitoring, logging, and alerting solutions across the data platform. Experience with tools like Datadog, Prometheus, Grafana, ELK stack, or similar technologies is crucial. Enable Self-Service Infrastructure: • Develop automated provisioning systems for data infrastructure, • Create and maintain infrastructure templates and patterns, • Implement GitOps workflows for infrastructure management, • Build developer portals and self-service tooling Security and Compliance Automation: • Implement security controls and compliance checks as code, • Automate security scanning and vulnerability management, • Design and implement IAM and access management solutions, • Maintain audit trails and compliance reporting automation Performance Optimization: • Monitor and optimize platform performance, • Implement auto-scaling solutions design for high availability and disaster recovery, • Optimize cost through infrastructure efficiency Lead Platform Re-Architecture: • Transform our existing data platform architecture to align with Data Mesh principles, • Design and implement our Apache Iceberg adoption strategy, enabling ACID transactions and time travel capabilities, • Create standardized patterns for teams to effectively adopt and optimize Iceberg tables Drive Release Excellence: • Establish automated release processes that balance agility with platform stability, • Build deployment frameworks with comprehensive validation, monitoring, and rollback capabilities, • Implement coordinated release strategies across distributed domains Enable Technical Success: • Design reference architectures and implementation patterns for domain teams, • Lead technical design reviews and architecture governance, • Provide technical guidance during the transition to Data Mesh architecture What We’re Looking For 10+ years of experience in DevOps/Platform Engineering roles within a data operations team Cloud & Infrastructure: • Extensive experience with AWS, particularly EKS and EKS Anywhere, • Deep expertise in Kubernetes and container orchestration, • Strong background in Infrastructure as Code using Terraform and Terragrunt, • Experience with GitOps practices using ArgoCD, • Knowledge of distributed systems and event-driven architectures, • Strong knowledge of logging, monitoring, APM tracing and alerting tools (ELK, Datadog, Prometheus, Grafana, etc.) Development & Engineering: • Proficient in Java development and JVM optimization, • Experience with build tools (Maven/Gradle) and dependency management, • Strong background in unit testing frameworks and testing practices, • Expertise in Git version control and collaborative development, • Experience with Apache Kafka and Kafka Streams, • Background in monitoring and performance optimization for Java applications CI/CD & Automation: • Experience designing and managing Jenkins/Github/Gitlab pipelines, • Strong scripting skills (Python, Bash), • Understanding of DevOps practices and automation principles Preferred Qualifications: • Experience with data mesh or similar distributed data architectures, • Relevant cloud certifications, • Experience building developer platforms or portals, • Background in DataOps practices What You Can Expect from Us • Hybrid Environment: Our employees enjoy a mix of working in the office and from home, • Free Food: We provide free lunch for employees when they are working in the office. Plus, our offices are stocked with snacks, • Paid Time Off: Competitive PTO package including vacation and personal days, sick leave and charity days, • Generous Parental Leave: Up to 20 weeks fully paid leave, • 401(k): Dollar-for-dollar employer match up to $17,500, • Employee Stock Purchase Plan: Employees can purchase MarketAxess common stock at a discount, • Wellness Stipend: We provide employees with up to $1K annually towards gym memberships, home office equipment and more, • Onsite Healthcare: We offer convenient access to world-class care through Mount Sinai at our Hudson Yards location, • Tuition Assistance and Professional Development: Benefit from live and on-demand learning, role-specific training, employee-led Lunch and Learns and guest speakers, • Core benefits: Highly competitive medical, dental, and vision programs For job positions in NYC, NY, and other locations where required, the estimated salary range for a new hire into this position is $165,000 USD to $225,000 USD. Actual salary may vary depending on job-related factors, which may include knowledge, skills, experience, and location. You may also be eligible for annual cash incentives, equity, and other benefit programs. MarketAxess Corporation and its affiliates provide equal employment opportunities to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, veteran status, or any other legally protected characteristic in the location in which the candidate is applying. All of your information will be kept confidential according to EEO guidelines.

permanent Position: Data Scientist Company Overview: Florvets Structures is a leading construction company specializing in the design and construction of innovative and sustainable structures. We are committed to delivering high-quality projects that exceed our clients' expectations and contribute to the betterment of communities. Job Overview: We are seeking a highly skilled and experienced Data Scientist to join our team. As a Data Scientist at Florvets Structures, you will be responsible for analyzing complex data sets to identify patterns, trends, and insights that will inform our business decisions. You will work closely with our project managers, engineers, and other team members to develop data-driven solutions that will improve our processes and drive business growth. Key Responsibilities: • Collect, organize, and analyze large and complex data sets from various sources, • Develop and implement data models and algorithms to extract insights and create predictive models, • Identify patterns and trends in data and communicate findings to relevant stakeholders, • Collaborate with project managers and engineers to develop data-driven solutions that improve project efficiency and quality, • Develop and maintain data dashboards and reports for tracking project performance and identifying areas for improvement, • Stay up-to-date with industry trends and advancements in data science and bring new ideas and techniques to the team, • Ensure data integrity and security by following best practices and implementing necessary protocols, • Present findings and recommendations to senior management and other stakeholders in a clear and concise manner Qualifications: • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field, • Minimum of 3 years of experience as a Data Scientist or in a similar role, • Strong proficiency in data analysis and statistical modeling, • Proficiency in programming languages such as Python, R, and SQL, • Experience with data visualization tools such as Tableau or Power BI, • Knowledge of machine learning techniques and algorithms, • Excellent communication and presentation skills, • Strong problem-solving and critical thinking abilities, • Ability to work independently and in a team environment, • Experience in the construction industry is a plus Why Join Florvets Structures: • Opportunity to work on innovative and sustainable projects, • Collaborative and supportive work environment, • Competitive salary and benefits package, • Career growth and development opportunities, • Make a positive impact on communities through your work If you are a highly motivated and skilled Data Scientist looking to join a dynamic and growing company, we encourage you to apply for this exciting opportunity at Florvets Structures. We look forward to hearing from you! Health Insurance Workers Compensation

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 which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix. \n What You'll Do • Design, build, evaluate, and ship ML solutions in Spotify’s personalization products, • Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways, • Prototype new approaches and productionize solutions at scale for our hundreds of millions of active usersPromote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization, • Be part of an active group of machine learning practitioners Who You Are • An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment, • Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications, • Hands-on expertise with implementing end-to-end production ML systems at scale in Python, Java or Scala, • Experience with Pytorch and/or TensorFlow is a strong plusExperience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams, • Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS 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 ___This team operates within the Eastern Standard time zone for collaboration. \n The United States base range for this position is $138,250- $197,500plus 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.

People want to be informed and entertained. Great products make the two inseparable. Noise is a platform to discover and trade trends. Every day, millions of people make predictions about what will continue to matter: a brand, a conflict, a new technology. These predictions shape the global economy and advance culture. AI slop and the internet have accelerated content production to such an extent that predicting trends has become nearly impossible. Noise exists to solve this. We measure attention across the internet and allow people to trade on its future. The result is real-time markets on how brands, narratives, and ideas rise and fall. If we succeed, Noise becomes the standard for measuring attention and a new way to reveal what truly matters in the world. To learn more, follow us on ___. A little bit about our team: * Eight full-time employees based in the US * Fully in-person in NYC * Everyone either ships code, designs, or talks to users * Build in the Unknown: We have no interest in iterating on what already exists. Our goal is to create a new type of consumer experience centered on invention, not optimization. * Seek Truth Rapidly: We consider it a mistake to linger in speculation. We test, learn from feedback, and move forward with speed and clarity. * No Passengers: Everyone at Noise — engineers, designers, marketers — is in the room, in New York City. We’re a small team moving fast with care and intensity. We solve hard problems together. You do not need permission to try new things. * Action Your Taste: Our work carries the imprint of everyone who builds it. We are seeking a Senior Machine Learning Engineer to lead high-impact projects at the intersection of data engineering and data science. You will own the full lifecycle of turning complex, messy data into actionable insights and production-ready models—designing data pipelines, building scalable infrastructure, and developing algorithms that directly drive product and business outcomes. Responsibilities: * Architect and build scalable ETL/data pipelines, feature stores, and real-time data systems. * Lead the design, development, and deployment of advanced ML models. * Partner with product, engineering, and business teams to define problems and deliver measurable impact. Must Haves: * 3+ YOE in machine learning, data science, or data engineering roles, with significant hands-on coding in a production environment * Expert in Python (Pandas, NumPy, PySpark) and SQL; proficient in big data frameworks (Spark, Flink, Kafka). * Strong track record of building production-grade ML systems and data platforms at scale. * Deep knowledge of statistical modeling, machine learning, and experiment design. Our Tech Stack * Design: Figma * Frontend: React (Typescript), Vite, TailwindCSS * Backend: Java, Typescript, C++ * Research: Python, Pytorch * Infrastructure: AWS * Smart Contracts: Foundry How Applying Works * Intro & Behavioral Call — 45 minute chat with one of the founders * Technical Virtual Onsite — Live technical screening including 1 coding and 1 system design * Reference Checks — Share 2-3 references of previous supervisors you’ve worked with * Comp Review — 30 minutes chat with one of the founders to go over the offer Compensation To attract the best people, our goal is to provide competitive cash compensation and high upside in the long-term success of Noise. Equity options are subject to the same four-year schedule as the rest of the team.

About the job About Us We're a venture-backed startup building an innovative AI-driven platform called Proxi for policy professionals. Our product helps users navigate complex regulatory, legislative and emerging compliance environments through a voice-driven interface powered by our cutting-edge semantic search pipeline operating over our immense legislative and regulatory data corpus. Our team's experience spans roles across the White House, State Department, K&S Law, Microsoft and Datadog. The Role You'll join our founding engineering team to enhance and scale the existing data infrastructure and processing pipelines that form the backbone of our platform. Working with our current systems, you'll help expand our real-time data velocity advantage and optimize our scalable architecture that handles vast amounts of legislative and regulatory information while supporting seamless voice interactions. Location: New York City \n Key Responsibilities • Extend and optimize our real-time data ingestion pipelines to incorporate additional legislative and regulatory sources, • Enhance our document processing workflows to support new data formats and improve efficiency, • Optimize existing database schemas and search indices for improved performance, • Scale and refine our cloud infrastructure to maintain reliability as we grow, • Enhance our low-latency voice streaming and real-time conversation capabilities, • Improve and maintain our CI/CD pipelines for streamlined deployment, • Extend our NLP-enhanced data transformation systems to support new use cases and data types, • Collaborate with ML engineers to support evolving data needs for relevance and personalization systems Requirements • Strong Python proficiency for backend development and data processing, • Experience with cloud platforms (GCP preferred) including serverless computing and storage, • Must have Expertise in optimizing and scaling existing data pipelines and ETL processes, • Strong database skills with PostgreSQL, including query optimization and performance tuning, • Experience with real-time streaming architectures and low-latency response systems, • Experience with containerization (Docker) and CI/CD workflows, • Knowledge of search technologies and vector storage solutions, • Understanding of asynchronous programming patterns in Python, • Experience with API development using modern frameworks, • Strong problem-solving skills for troubleshooting complex distributed systems Nice to Have • Experience with API integration for comprehensive data collection, • Background in legislative or regulatory data processing, • Knowledge of workflow orchestration tools like Apache Airflow, • Experience with audio streaming and voice processing technologies, • Familiarity with MLOps practices and supporting ML systems in production, • Experience integrating and optimizing LLM usage in data workflows, • Knowledge of Infrastructure as Code (IaC) tools \n$150,000 - $190,000 a yearProxi is an AI-native platform that breaks away from the 'copilot' model where LLMs are merely added as features to existing technology. We act as an extension of the user and their interests, working 24/7 to perform work that would otherwise take hours. We're not looking for passengers; we want driven innovators with a passion for scaling robust data systems and a hunger to build on our foundation. If you're obsessed with optimizing lightning-fast data pipelines, enhancing cloud infrastructure, and expanding the capabilities of an AI-native platform with natural voice interaction, and you thrive in a fast-paced, high-stakes startup environment, this is your moment. We're building a category-defining product - don't just apply; make your mark.\n

Proficient in Python and SQL; comfortable working with cloud-based data stack tools.

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

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! About You: A seasoned ML expert who thrives on first principles problems that no one has ever worked on before. You love innovation and making an immediate impact – and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. You love working on new and challenging problems – not incremental or marginal improvements – and you're supercharged by having interesting, unsolved problems continually present themselves. In this Role, you will: • Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies, • Suggest and implement new features to improve model performance and business logic, • Work closely with product & engineering stakeholders to identify business opportunities and technical feasibility using ML/AI, • Mentor and guide more junior MLEs across the organization to drive towards technical excellence in ML workflows and product deliveries, • Build ML models for production use, write and review production-quality PRs daily, • Translate client business problems into ML problems, • Build scalable machine learning models for claim time series forecasting,NLP text understanding, and generative AI solutions, • Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets Requirements & Skills: • You are an ML Engineer / Data Scientist with 5+ years of experience, especially in highly scalable production environments, with a proven track record of quickly getting from idea to production, • You have deep exposure to data science & AI tech stacks (sklearn, Keras / PyTorch, LLM / gen AI frameworks, tuning frameworks, A/B experimentation), data analysis & modeling, feel at home in Python/Pandas/Jupyter yet switch seamlessly to work in production environments & pipelines, and strive for scalable technical concepts and solutions., • You’re a team player who is solutions-oriented., • You have crisp written and verbal communication skills and can effectively correspond between technical and non-technical audiences., • You have 2+ years of experience leading teams of 5+ ML engineers in high stakes production environments., • You owned, deployed, and maintained model-serving pipelines in production, • Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and following SWE best practices., • 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, • Experience translating state-of-the-art research papers into production code, • Accustomed to collaborating with data labelers and SMEs, • Experience building production agentic systems Even Better if You Have the following: • Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes, • Experience with advanced statistical modeling, especially probabilistic programming, • You’re up to date on the latest LLM / gen AI developments and have built LLM / agentic applications and iterated on user feedback., • Ambitious, collaborative, and empathetic values, • A work style that is open to giving and receiving critical feedback and collaborating effectively across teams Work-life, Culture & Perks: • Compensation: the compensation range for this role is 225-250K (with flexibility), as well as a meaningful equity plan offered, • 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. We also have a flexible vacation policy., • Office Life: Ability to work hybrid. Catered lunches, happy hours, and pet-friendly office space., • 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 US 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

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!