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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.

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

About Us: Savant is transforming how healthcare and life sciences organizations unlock the value trapped in unstructured medical data. Our platform combines cutting-edge large language models (LLMs) with domain-specific quality controls to convert free-text clinical records into structured, analysis-ready data — efficiently, accurately, and at scale. We work with leading institutions across healthcare, life sciences, and research, supporting faster studies, sharper insights, and better care. Backed by Roivant (NASDAQ: ROIV), Savant is built for organizations that see structured data not just as an output, but as a foundation for innovation. The Opportunity: We’re hiring an AI/ML Engineer to help build and scale the infrastructure behind Savant’s clinical data structuring platform. In this role, you’ll work at the intersection of LLMs, applied machine learning, and healthcare data to develop production-grade pipelines that extract structured insights from messy, high-stakes records. This is a high-impact engineering role with full-stack exposure - from prototyping model workflows to deploying scalable inference systems. You’ll work closely with our product, clinical, and engineering teams to continuously improve model performance and delivery quality. If you’re excited to build real-world applications of LLMs, shape how AI gets deployed in healthcare, and operate with ownership in a fast-paced startup environment, we’d love to hear from you. Some things you might work on: • Design and build robust ML pipelines to apply LLMs and other models to unstructured clinical text, • Develop and optimize systems for information extraction, entity resolution, data normalization, and QA, • Build and scale infrastructure for running model inference across large datasets, • Prototype, evaluate, and refine prompt strategies, model configurations, and workflows, • Implement internal tools for monitoring, observability, and iterative model improvement, • Translate research prototypes into reliable, testable, and maintainable production code, • Collaborate cross-functionally with clinical experts and product leads to embed domain knowledge into model workflows What We're Looking For: • 3+ years of hands-on experience building and deploying ML/AI systems, • Strong Python development skills, including experience with production-quality ML codebases, • Familiarity with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, spaCy), • Experience working with large-scale unstructured or semi-structured data, • Practical knowledge of LLMs: prompt engineering, evaluation, fine-tuning, observability, • Comfort working in fast-paced, ambiguous environments where iteration is key, • Clear communicator with a collaborative mindset Bonus Points For: • Experience working with clinical or healthcare data (EMRs, registries, imaging, labs, etc.), • Familiarity with model evaluation tooling, quality benchmarking, and drift detection, • Exposure to data privacy or compliance frameworks (HIPAA, de-ID workflows, etc.), • Experience in an early-stage startup or small, fast-moving technical team Why Join Us • Full-Stack AI Impact: Contribute across the ML lifecycle, from data to deployment, • Product-Embedded Work: Your contributions will ship as part of a real product, not just R&D, • Tight Collaboration: Work directly with cross-functional partners across clinical, product, and engineering, • Mission-Driven: Help unlock better healthcare by solving foundational data problems Base salary for this role will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market conditions. The expected base salary for the role will generally be between $130,000 to $180,000 per year, with meaningful equity. The final salary offered may be outside this range based on individual circumstances and business and market conditions. Base salary if hired is only part of the total compensation package, which, depending on the position, may also include other components such as discretionary bonuses and Company-sponsored benefit programs. This position is at-will and Savant reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance and business and market conditions. Savant provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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

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

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

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

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

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

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.

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

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

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

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

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

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

___ 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

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.

___ 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

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

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 300+ 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. Our clients span the leading brands in finance, technology, media, CPG, real estate, and many other categories. These partnerships have earned us multiple awards and recognition: Emmys, Clios, Effies, Cannes Lions Awards, ProMax Agency of the Year, Digiday’s Most Innovative Media Agency and most recently the AdAge A-List. 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 Channel Data Science team is a group of data scientists embedded in our media buying practice to translate the domain knowledge we gain from running media for our clients to smart tools that push the limits of advanced advertising. Our work includes predictive modeling/optimization, building workflow automation apps, and the pioneering application of Generative AI for novel marketing solutions – all in the service of making our work less repetitive and manual, more optimized, and seeking better outcomes for our media activation and media consulting clients. We are seeking Data Scientists and Senior Data Scientists who can understand the core business objectives of our internal teams and our clients, and ideate, design, and develop innovative tools leveraging text-based Large Language Models (LLMs) and other Generative AI techniques. While experience in media is a plus, a passion for applying cutting-edge AI to marketing challenges is crucial. A significant focus of this role will be to champion and implement Generative AI initiatives. In this role more generally, you will work with, and guide (for senior levels), other data scientists on a variety of projects, interface with our other teams at Known, and drive forward some of our most difficult and innovative data science projects, particularly those harnessing the power of LLMs. WHAT YOU’LL DO All Levels: • Explore, develop, and deploy Generative AI (specifically LLM-based) tools for marketing applications, such as content ideation/generation, audience persona creation, automated reporting with natural language summaries, campaign strategy assistance, and enhanced customer insights, • Develop new techniques (e.g., traditional ML models, optimization algorithms, LLM fine-tuning, prompt engineering strategies, and automation) to improve Known IP and create tools for Known's clients, • Work with other data scientists and engineers to productionalize new tools, including GenAI-powered applications, • Stay current with advancements in Data Science and AI and identify opportunities for their application in the marketing domain, • Lead the exploration, development, and deployment of complex Generative AI initiatives, • Mentor other data scientists on the team, including upskilling them in Generative AI concepts and techniques, • Drive innovation by staying at the forefront of AI advancements and identifying strategic applications, • Manage multiple concurrent projects and serve as a technical leader on complex AI initiatives WHO YOU ARE AND WHAT YOU HAVE • A Bachelors, Masters or PhD from a well-regarded college or university. STEM degrees (e.g., Statistics, Economics, Data Science, Mathematics, Computer Science) are preferred, • Hands-on experience doing quantitative analysis, statistical modeling, optimization and/or machine learning, • Proven experience in developing and deploying solutions using Generative AI, particularly text-based Large Language Models (e.g., experience with APIs like OpenAI's, or open-source models)., • Experience utilizing Python and SQL, • Experience building data science software or analytical workflows, • Experience in advertising or advertising technology is a strong plus, especially if combined with GenAI application in this domain. Data Scientist: • 2+ years (with Masters/PhD) or 3+ years (with Bachelors) of relevant experience, • 1+ years of experience building data science software, ideally including applications leveraging AI/ML models., • Academic projects, internships, or personal projects demonstrating application of modeling techniques preferred Senior Data Scientist: • 4+ years (with Masters) or 2+ years (with PhD) of hands-on experience. Candidates with a Bachelors degree and 5+ years of highly relevant experience may also be considered, • 3+ years building data science software or robust analytical workflows, • Leadership experience managing or mentoring junior data scientists, • (Optional but recommended): Portfolio of projects or case studies demonstrating successful application of advanced modeling techniques to solve complex marketing problems (preferred) Skills, abilities, and knowledge • Superb communication and presentation skills, • An ability to translate business challenges into quantitative problems, and solve them by whatever means necessary, which may not always be strict machine learning, • Strong understanding of LLM capabilities, limitations, ethical considerations, and the evolving landscape of Generative AI technologies., • Proven ownership of projects taken to completion, • A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others’ work, • Experience working on a tech team, with experience in cloud technologies, version control, etc., • Experience in advertising or advertising technology is a plus Competencies • Ability to prioritize time, work and effort while multitasking on multiple projects, • Desire to mentor and teach others, • Collaborative attitude, • Self motivated and exhibits initiative, • Willing & able to learn quickly, • Abundant intellectual curiosity and integrity 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: Data Scientist: $110K - $130K Senior Data Scientist: $130K - $150K 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

This position is posted by Jobgether on behalf of Shiftsmart. We are currently looking for a Staff Data Engineer in New York. This role offers a unique opportunity to lead the design, development, and governance of scalable data platforms within a fast-growing technology environment. As a key member of the core platform engineering team, you will provide technical leadership in building reliable and compliant data systems that empower a global workforce marketplace. Your expertise in data architecture, governance, and software engineering will directly impact business success by ensuring data integrity and privacy. Collaboration and innovation will be central as you mentor others and drive continuous improvement in data processes. Accountabilities: • Provide technical leadership and guidance in designing data solutions aligned with business and governance requirements., • Develop scalable and compliant data architectures including data warehouses, big data platforms, and databases., • Champion data governance practices such as data lineage, metadata management, quality controls, and privacy compliance., • Collaborate with stakeholders to translate needs into robust data systems and tools., • Optimize data processing performance and automate workflows to improve efficiency., • Mentor junior engineers and promote a culture of governance awareness and compliance., • Maintain thorough documentation and share knowledge across teams to support continuous improvement and innovation., • 8+ years of software engineering experience focused on data engineering and large-scale data systems., • Strong proficiency with technologies such as MongoDB Atlas, Google Cloud Platform (GCP), BigQuery, Prefect, Typescript, and Python., • Deep understanding and practical experience with data governance frameworks and compliance regulations., • Proven ability to design and implement scalable data architectures with a focus on governance and security., • Excellent software engineering skills and modern development best practices., • Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts clearly., • Leadership experience mentoring teams and driving successful project outcomes., • Bachelor’s or master’s degree in computer science, engineering, or a related field., • Competitive salary range between $175K – $225K, plus equity options., • Comprehensive healthcare coverage including 100% employee premiums for medical, dental, and vision., • 401(k) program with a company match., • Generous paid parental and family leave policies., • Pre-tax commuter benefits and a collaborative office environment in Manhattan (optional onsite)., • Opportunity to work fully remote with a company at the forefront of workforce technology innovation. 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

Eight Sleep is the world’s first sleep fitness company. Our mission is to fuel human potential through optimal sleep. We use innovative technology, detailed design, and proven science and data to personalize and improve each night for everybody—changing the way people sleep forever and for the better. With our flagship product, the Pod, we are addressing critical sleep issues such as temperature regulation, bed elevation, snoring reduction, and the wake-up experience. Hundreds of thousands of customers around the world sleep better every night thanks to the Pod. But we’re just getting started. We’re committed to developing more groundbreaking products to tackle additional sleep problems, changing the role sleep plays in our lives forever. We’re excited about the journey ahead and the impact we can make as we continue to innovate and expand our offerings to fulfill our mission. We are backed by leading Silicon Valley investors like YC Combinator, Founders Fund, Valor, and Khosla Ventures, and we have been recognized as one of Fast Company’s Most Innovative Companies in 2018, 2022, and 2023. The Pod was also recognized two years in a row by TIME's “Best Inventions of the Year.” We currently sell the Pod in the United States, Canada, the United Kingdom, Europe, and Australia. Before you apply Eight Sleep is an intense environment: we’re demanding and ambitious, which means we ask a lot of ourselves and one another. This means fantastic learning opportunities, achievements, and career growth, but it also requires a significant commitment. Our dedication, drive, and intensity rival those of Olympic athletes. At Eight Sleep, we embody Kobe Bryant’s mamba mentality: we always aim to be at the top 1% of what we do. If you’re looking for a 9-5, this is not for you. Our employees report working up to 60 hours per week. If you want to be challenged and pushed harder than ever before, we invite you to apply. About the role We are looking to hire an experienced Data Scientist with a passion for scaling consumer brands. The ideal candidate will combine strong analytical skills with marketing acumen to guide optimizations to our growth strategies. Reporting to the CFO, the candidate will have an exceptional track record working as an individual contributor with sales and marketing data to build complex predictive demand and Media Mix models. How you’ll contribute * Work closely with the CFO, CEO, Growth and Finance teams, providing insights into business opportunities for incremental revenue growth * Develop and maintain predictive models for sales growth, customer behavior and lifetime value * Create a Media Mix Model that allows us to assess various scenarios for allocating spend across our various channels * Lead the quantitative analysis to provide insights that help the CEO, CFO, and VP of Growth understand marketing performance and member behavior * Create and maintain dashboards for key marketing metrics * Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools * Identify opportunities for growth and efficiency in our marketing funnel * Translate complex data insights into actionable recommendations * Translate product objectives to data science problems and vice versa * Build analytical ETLs to power data science models Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own ___, along with*: * Full access to health, vision, and dental insurance for you and your dependents * Supplemental life insurance * Flexible PTO * Commuter benefits to ease your daily commute * Paid parental leave *List of benefits may vary depending on your location At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Please note: This role is open to applicants in the US, Canada, LATAM, UK, or Europe. Compensation (salary and equity) is competitive based on location.

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

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. As a Staff Machine Learning Engineer, you will be responsible for building and maintaining our Machine Learning (ML) and Artificial Intelligence (AI) infrastructure, and to help our team build, deploy, and monitor ML and AI models and services. Additionally, you will provide hands-on technical leadership and mentorship for a growing team of AI/ML Engineers. The successful candidate will have a strong background in ML, and significant prior experience in delivering end-to-end Software Development projects. This role is expected to collaborate very closely with our AI/ML team as well as with Credit Genie’s Engineering, Data Engineering, and Product teams. * Responsible for building the Engineering foundation for the Data Science and ML/AI team, and for setting the company’s ML/AI Engineering roadmap in collaboration with our leadership team. * Collaborate hands-on with Data Scientists and ML/AI Engineers to deliver production-grade ML/AI systems that support critical areas of our business (e.g., Risk and customer-facing in-app experiences). * Collaborate with leads from Engineering, Data Engineering, and Product to expand the existing technological stack of the company and support ML/AI-specific requirements. * Responsible for setting and maintaining the highest ML Engineering standards in the Data Science and ML/AI team. * Have fun working on hard and highly impactful problems. * 8+ years of Backend Software Development experience and demonstrated prior experience working with ML/AI teams in a technical leadership capacity. * Strong foundation in Software Development and prior experience leading impactful ML software projects. * Strong foundation and demonstrated prior experience with Version Control, Infrastructure as Code, Testing, CI/CD, Monitoring and Observability. * Demonstrated ability to deliver end-to-end production-grade ML solutions (e.g., experience with databases and data warehouses, streaming vs. batch data ingestion, feature engineering and versioning of features, Jupyter Notebooks and similar ML development environments, building and testing prediction services, versioning model artifacts, …). * Significant prior experience with ML-specific technologies such as Feature Stores/Feature Platforms and Model Registries, and demonstrated knowledge of ML-specific architectural patterns and tradeoffs (real-time vs. batch prediction, batch features vs. streaming features). * Proficiency in multiple programming languages beyond Python (e.g., TypeScript, Rust, Go). * Experience with the AWS cloud. * Experience with Snowflake. * Experience with ML/AI tools and frameworks (scikit-learn, PyTorch, Tensorflow, LangGraph/CrewAI/PydanticAI). 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.

Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future! If you are craving to learn something new every day while working at the cutting edge of AI, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious ML engineer as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! RESPONSIBILITIES • BSc. degree in Computer Science or related fields, • 3+ years of experience with Python, • 3+ years hands-on experience developing architectures with machine learning frameworks such as PyTorch, • Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production, • Work authorization in the USA at the time of hire, • Continuing work authorization during employment can be sponsored by Verneek PREFERRED QUALIFICATIONS • MSc. degree in Computer Science or related fields, • Experience in Natural Language Understanding, Dialogue Systems, Semantic Parsing, Transfer Learning and learning with limited data, • Experience with building models in the commerce/retail domain, • Working knowledge of Scala Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: ___ and make sure to watch all our introductory videos and yearly recaps here: ___ Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our introductory videos and yearly recaps here: Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: ___. We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact. Annual Salary Range: $40K-$200K___ Annual Salary Range: $40K-$200K

✍🏽 About Writer Writer is the full-stack generative AI platform delivering transformative ROI for the world’s leading enterprises. Named one of the top 50 companies in AI by Forbes and one of the best places to work by Inc. Magazine, Writer empowers hundreds of customers like Accenture, Intuit, L’Oreal, Mars, Salesforce, and Vanguard to transform the way they work. Writer’s fully integrated solution makes it easy to deploy secure and reliable AI applications and agents that solve mission-critical business challenges. Our suite of development tools is powered by Palmyra – Writer’s state-of-the-art family of LLMs — alongside our industry-leading graph-based RAG and customizable AI guardrails. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team of over 250 employees thinks big and moves fast, and we’re looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work. 📐 About this role Writer is looking for an AI engineer with a strong software engineering background to join our expanding team of AI experts. At Writer, we believe in using the power of AI to unlock the potential of the enterprise. With the help of our AI engineers, we can continue to build the most advanced language model available in the industry and revolutionize how companies interact with AI. We’re looking for a creative problem solver who has a deep understanding of NLP and ML technologies and who can help us create powerful and meaningful applications of AI. As an AI Engineer at Writer, you'll play a pivotal role in developing and implementing state-of-the-art generative AI models and algorithms. Collaborating closely with our diverse and dynamic team of software engineers, data scientists, and researchers, you'll be able to design and deploy AI solutions that drive our innovative products. If you’re passionate about using AI to transform the enterprise, then we want to hear from you. 🦸🏻‍♀️ Your responsibilities * Collaborate closely with our broader engineering team, data scientists, and AI engineers to evolve our software architecture as we productize new AI-powered capabilities * Evaluate the performance of AI models & systems through rigorous testing and experimentation. * Deploy LLM-based applications in production, evaluating and improving their performance over time * Collaborate with our skilled software engineers to seamlessly integrate AI-powered capabilities into production systems, ensuring scalability and efficiency. * Stay up-to-date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities. * Collaborate closely with cross-functional teams to understand business requirements and translate them into innovative AI solutions. * Own the design, implementation, and maintenance of robust and scalable production retrieval and agentic systems * Implement strong testing and CI/CD practices that help us move with confidence in our AI system development ⭐️ Is this you? * Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience * High level of coding proficiency using Python * 5+ years of professional experience in software engineering, AI/ML development including: * Proficiency with production software (Python) and systems design * Machine learning algorithms and model development techniques * ML lifecycle tools like MLflow, dvc, weights & biases * Cloud deployment of ML systems * Professional experience with LLMs and large-scale models * Very strong software engineering skillx with a track record of building scalable, distributed product machine learning systems * Strong analytical and problem-solving skills * Ability to communicate complex ideas and concepts effectively * Ability to work independently and collaboratively Preferred Skills: * Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, Hugging Face, etc * Depth of knowledge with RAG implementation and improvements Curious to learn more about who we are and how we operate? ___ Curious to learn more about who we are and how we operate? 🍩 Benefits & perks * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ Early-detection cancer testing * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

Company Credit Genie’s mission is to help users take control of their finances, by offering cash advances between paydays, and by providing financial insights into spending habits. Having empowered over 1 Million customers to budget wisely, evade overdraft fees, and minimize credit card payments, we're on an ambitious journey. Our vision is rooted in a world where financial access is universal, and personal financial goals are within reach. This position is based out of NYC. We follow a hybrid work model of 3 days/ week in office. Overview At Credit Genie, AI is not a buzzword. We see this technology as a means to generate additional value for our customers. We are looking for a passionate and pragmatic AI tech lead to design and deliver AI systems for both internal and customer-facing applications. You will be working out of our brand new office in New York City. What You'll Do In this role, you will: * Set the company’s AI roadmap in collaboration with our leadership. * Work in collaboration with a growing team of AI Engineers on the design and execution of AI Proof Of Concepts (POCs). * Collaborate with Product leaders and Engineers from other teams to productionize successful POCs. * Set and maintain high development standards for the team. * Have fun experimenting with new technologies and staying up to date with the latest developments in the field (e.g., through conferences, professional networks, …). Requirements * A PhD in a relevant field (e.g., Machine Learning, Computer Science, Mathematics, Statistics, …) and 4+ years of experience building Machine Learning and AI systems OR Master degree in a relevant field and 8+ years of experience building Machine Learning and AI systems. * Proficiency in Python and modern libraries (e.g., Pydantic, FastAPI, …). * Proficiency in Machine Learning and AI libraries (e.g., PyTorch, TensorFlow, …) and ecosystems (e.g., HuggingFace). * Proficiency in AI agent frameworks (e.g., LangGraph, CrewAI, …). * Proficiency in software development best practices (version control, testing, CI/CD, …). * Working knowledge of cloud development (e.g., familiar with any of AWS, Azure, GCP). Nice to Have * Working knowledge of Kubernetes or other container solutions. * Working knowledge of Infrastructure as Code (e.g., Terraform, AWS CDK, …). * Familiarity with other languages (e.g., TypeScript/JavaScript, Go, Rust, …). Benefits & Perks * Starting on day one, 100% coverage of Medical, Dental, and Vision for you and your dependents, with zero out-of-pocket costs * 401k with a 2.5% match with immediate vesting * Equity in the form of stock options * Free breakfast, lunch, and dinner for onsite employees * Flexible working arrangements * Flexible PTO and Sick leave * Monthly Fitness Reimbursement * Quarterly Fitness Challenge & Prizes * Monthly in-office chair massages Base Pay Range for a Staff Engineer is $150,000 - $250,000 per year. 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

Responsibilities: As Staff Data Engineer, you will work on a diverse set of initiatives spanning the data engineering and data science domains to help Character grow its product through analytical excellence. You will partner with our Data Platform and Data Science teams to optimize warehouse design and performance, evolve critical product analytics systems, enable and expand use cases of product data and help develop a world-class data culture. Your initial focus will be on these key areas: * Enable product team insights: Design, implement, and maintain a robust data warehousing design for consistent and reliable reporting and ease of data exploration as we continue to better understand our users * Own the core company data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Character * Evolve data model and data schema based on business and engineering needs, help character adopt best practices * Implement and adopt systems tracking data quality and consistency, improve pipeline performance and reliability Requirements: * 5+ years experience in data engineering, preferred within a consumer-facing technology company (chat, social media, or UGC) * Experience building data warehousing and pipelines with BigQuery, Spark, DBT and Airflow * Experience with processing and transforming unstructured data sources. * Experience modeling and scaling event telemetry systems for analytical use-cases * Experience implementing and supporting product experimentation data platforms * Proven track record of cross-functional execution and collaboration * Strong Python and SQL experience Locations: * NYC Preferred, SF Bay Area OK ___ empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit ___ every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.

AI Engineer, Investment Services A CAREER WITH POINT72’S COO TEAM The AI Engineer, Investment Services will be responsible for exploring opportunities to develop and build potential solutions that leverage GenAI and Machine Learning in an effort to deliver innovative, GenAI driven products that seek to enhance the firm's business processes and enterprise intelligence. You will play a unique role by identifying key business problems and working in partnership with Compliance to identify potential solutions by applying advanced GenAI/ML techniques. This includes building prototypes to prove out hypotheses and delivering production-grade capabilities to enable opportunities for broad value creation for the firm. Your projects will span both on-premises and AWS environments, leveraging technologies such as Kafka, Spark, Cloud warehouses, and Data Lakes, and employing programming languages like Java, Python, and SQL. WHAT YOU’LL DO • Identify opportunities and develop technical roadmaps for GenAI solutions, • Scope, prioritize, prototype and deliver GenAI projects to help solve key business problems for Point72’s Investment Services teams. Your work/projects will span both on-premises and AWS environments, leverage technologies such as Kafka, Spark, Cloud warehouses, and Data Lakes, and use programming languages such as Java, Python, and SQL, • Lead collaborations across the firm, where appropriate, on GenAI/ML initiatives and techniques, • Deliver analytics and insights to measure the value of solutions delivered, • Partner with groups across the firm such as Technology and Compliance on GenAI initiatives, • Partner internally to establish rigorous model governance practices, including testing, monitoring, and documentation to ensure solutions remain accurate and bias-free, • Stay up to date on AI/ML market landscape, trends, and technological innovations to provide recommendations on new tools and methodologies for adoption WHAT’S REQUIRED • Bachelor's degree in computer science, engineering, or related field, • Minimum 5+ years of professional experience, • Demonstrated success leveraging AI/ML to drive/improve business outcomes, • The ability to develop, own, and provide technical leadership over AI solutions, including model selection, fine-tuning, and ideally model development, • Excellent written and verbal communication skills, • Commitment to the highest ethical standards WE TAKE CARE OF OUR PEOPLE We invest in our people, their careers, their health, and their well-being. When you work here, we provide: • Fully-paid health care benefits, • Generous parental and family leave policies, • Volunteer opportunities, • Support for employee-led affinity groups representing women, people of color and the LGBTQ+ community, • Mental and physical wellness programs, • Tuition assistance, • A 401(k) savings program with an employer match and more ABOUT POINT72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit ___. The annual base salary range for this role is $175,000-$225,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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 a Data Scientist on our team, you will not only define and predict our company’s core metrics, you will drive them. This is a role of immense range, stretching from developing advanced analytical models to owning end-to-end strategic project implementation. Your work will be hyper cross-functional, sometimes driving forward technical projects in partnership with an engineer, other times leading an operations workstream. You will also engage directly with Fortune 100 customers to understand their needs and present on Tandem’s performance and relevant insights. 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. * Drive strategic projects that require deep data analysis, with accountability for end-to-end execution and business outcomes – this may include: * Sourcing and using industry and market data to shape Tandem’s go-to-market and growth strategy * Leveraging our internal workflow data to predict operational throughput and bottlenecks and prioritize new workflow automations as we scale * Prototyping new modeling approaches to AI problems (e.g., outcome prediction and optimization for insurance-related processes) in collaboration with our Engineering team * Building out a unified user interaction model to define Tandem’s consumer and provider product roadmaps * Create and rapidly iterate on externally facing data products for Tandem’s key partners and actively participate in priority client engagements * Establish Tandem’s core data sources and metrics to empower everyone on the team to answer complex questions about Tandem’s business in real-time * Work directly with our CEO and leadership team as a critical partner in making business decisions as we balance speed of growth and long-term profitability * Advanced degree in a quantitative field or 2+ years of work experience in an analytics-heavy, business-focused role * Strong technical background with exceptional ability to do data analysis using SQL and Python, as well as pick up new tools on the fly * Comfort with zooming in and out of problems, jumping between high-level thinking and granular methods of problem-solving * 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.

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.

As our first infrastructure engineer at Privy, you will help define what it means to write and deploy code to tens of millions of users across thousands of customers, all on a rapidly growing engineering team. As a team that builds for other developers, we believe engineering and product are inextricably connected. You'll be surrounded by a team with as much of a commitment to building and operating infrastructure as you are. We value intuitive interfaces, simplicity, and rapid iteration. Above all, we are building a company together to ship products that users love. * Manage and architect multi-tenant infrastructure that serves billions of requests every month * Design our build and deploy systems across the stack, from SDKs to apps to high-traffic APIs to complex secure enclaves, and more – all for a team that ships daily * Drive observability across our product and help keep our systems up and performant in our role in the most critical parts of our customers' stacks * Advocate for making the right technical investments at the right time in a company with ever-evolving technical needs * Knowledge of Typescript or Python, Terraform or similar, Cloudflare, and AWS infrastructure * Experience in building highly available production systems * An understanding of modern web and API development best practices * Experience building delightfully simple developer experiences * 4+ years of experience * An ability to quickly learn new skills and take on new challenges * Experience at rapidly growing startups and the flexibility it requires * Excitement about authentication, security, or in web3 * An understanding of EC2 Nitro Enclaves and ASGs/Kubernetes Engineering at Privy is not just about writing world-class code. We create software that turns complex technical systems into delightful developer tools. We assemble tried-and-true primitives into intuitive, responsive APIs and beautiful interfaces. We believe in open-source work and transparency with our teammates and users. We encourage each other to think big, run experiments and follow our curiosity so we can build better tooling that lets developers shine and empower their users. Privy is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of background, identity, or status.

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.

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.

Hiring Rate: $74,536.0000 (Flat Rate) Established in 1805, the New York City Department of Health and Mental Hygiene (the NYC Health Department) is the oldest and largest health department in the country. Our mission is to protect and improve the health of all New Yorkers, in service of a vision of a city in which all New Yorkers can realize their full health potential, regardless of who they are, how old they are, where they are from, or where they live. OEPR's work focuses on promoting and protecting public health through emergency preparedness and response; and recognizes that social inequities negatively impact our efforts to maintain and improve the health of NYC during and after a disaster. With these inequities in mind, OEPR is also working to improve its application of a social justice and racial equity lens to its emergency preparedness and response work. OEPR's employees are expected to align their work with OEPR's efforts to combat the harmful effects of systemic injustices on communities and work towards the most equitable post-disaster public health outcomes possible. DUTIES WILL INCLUDE BUT NOT BE LIMITED TO: • Assist with and conduct research and analyses using a variety of quantitative methods across the Bureau including collaboration with the Planning and Training, Operations, Logistics, and Exercises, and Medical Reserve Corps-Emergency Staffing Units., • Collaborate with internal and external stakeholders to develop, document and maintain policies, procedures, systems, and applications to support Citywide health emergency field operations., • Assist teams from across the Health Department and City on ways to best leverage, utilize, and even establish standards on the use and application of data, data formats, and data analytical tools across a variety of projects., • Manage and analyze large datasets within SQL Server Databases across multiple servers., • Create test cases and perform User Acceptance Testing (UAT) for various projects., • Assist in the development of planning documents and targeted reports, dashboards, and data visualizations that surface key information about Citywide health emergency field operations data., • Assist with the conduct of trainings, including facilitating training modules and reviewing training curriculum, as needed., • Participate in the development and implementation of exercises and data drills., • Serve as a key member of the NYC DOHMH Incident Command System (ICS) during emergency responses, which may include 24-hour availability. PREFERRED SKILLS: • Experience with data collection, analysis and visualization, specifically analyzing and reporting on quantitative data from multiple sources;, • Experience with writing and maintaining technical documentation, including procedure guides and data dictionaries;, • Experience with implementing QA/QC procedures and UAT;, • Ability to prioritize and work in fast-paced environment with hard deadlines;, • Strong problem-solving capabilities, interpersonal skills, research skills and written and oral communication skills;, • Experience with data management software, warehouse management systems (WMS), geographic information systems (GIS), data visualization software (Tableau, Power BI), and/or relational database systems (SQL);, • Experience with any of the following: R, SQL, Python, SAS, SPSS, or STATA; and the ability and willingness to learn new data software and platforms as needs arise. Why you should work for us: • Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home., • Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work. Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise. Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers! The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at ___ or 347-396-6549. CITY RESEARCH SCIENTIST - 21744 2. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or, 3. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or, 4. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

About the Company Valon’s mission is to empower every homeowner. We believe the journey of home ownership starts when you get your keys, but lasts far beyond. We’re creating a world where home ownership comes with ease, security, and financial know-how. Our growing team of engineers, operators, product enthusiasts, and experienced servicing professionals are leveraging technology to fundamentally improve the homeownership experience. Through mortgage servicing—the process of paying off one’s mortgage—Valon is taking the first step in transforming the industry one homeowner, and lender, at a time. About the Role We are looking for full-stack data analysts who can take end-to-end ownership of the data and analytics needs of Valon’s SaaS customers. You will be responsible for large scale migrations of varying reporting infrastructure to the Valon Data Schema and API on behalf of clients. You will interface with clients, stand up data infrastructure, migrate or build out reporting, and more. You’ll work closely with client data teams, representing Valon as both the expert on Valon’s Data Schema, and also mortgage servicing best practices. The right candidate is technical, analytical, and works well under pressure including high stakes and tight deadlines. At the same time, positivity, clear communication, and customer service are key. Responsibilities • Collect and document client requirements at the project level from client data analysts., • Establish new data processes, tools, and systems for clients according to plan., • Create reporting pipelines in dbt., • Write, re-write, or migrate SQL queries, reports, and dashboards to empower client operational processes., • Conduct analysis to inform client business decisions., • Document, audit, and improve client data sets to meet client data needs., • Respond to data requests from the client and their operations teams., • Meet tight project deadlines., • Dive deep into the mortgage servicing industry to understand its complicated inner workings. Additional Senior Level Responsibilities • Collect and document client requirements at the client relationship level from client executives, middle management, and data analysts., • Architect and establish new data processes, tools, and systems for clients, owning project timelines and deliverables, including accountability for milestones and deadlines., • Educate clients on data tools that increase the efficiency of their operations teams., • Ensure long term success and retention of client relationships. Ideal Background • 4+ years (6+ for Senior) of full-time work experience in data analytics, product analytics, business analytics, or business intelligence, ideally at a tech company (mortgage servicing experience a plus)., • Experience in a customer facing role., • Expert in SQL required (Python skills a plus)., • Experience with dbt., • Experience using data visualization tools, especially Hex, Looker, PowerBI, Tableau or equivalent BI tools., • Experience working with data engineering teams and building out data infrastructure. $105,000 - $218,500 USD Throughout the interview process, please remember that emails will only be from ___ emails. We won't ever be asking for any personally identifiable information during the interview process itself. Please reach out to if you have any requests to verify the authenticity of an outreach. Valon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Valon makes hiring decisions based solely on qualifications, merit, and business needs at the time.

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. We are seeking a DevOps / Site Reliability Engineer (SRE) to design, build, and maintain scalable, reliable, and secure cloud infrastructure. This role will be instrumental in automating deployments, optimizing performance, and improving system resilience, working closely with engineering, security, data and AI teams to enable seamless operations. What you’ll do * Design, implement, and manage cloud-based infrastructure (AWS) to ensure scalability and resilience. * Implement robust incident response strategies. * Define and monitor SLOs, and SLAs to ensure alignment with business goals and user expectations; leverage insights from these metrics to improve reliability and inform strategic decisions. * Monitor and improve system reliability, availability, and performance, implementing best practices for high uptime. * Build and maintain CI/CD pipelines to enable fast and secure deployments for our engineering, data and AI/ML Teams. * Implement observability tools, including monitoring, logging, and alerting solutions, to proactively identify and resolve issues. * Automate infrastructure provisioning, configuration management, and deployments using AWS CDK and Terraform, or similar tools. * Collaborate with our security team to enforce best practices across infrastructure, including IAM, encryption, vulnerability scanning, and incident response planning. * Work with security and compliance teams to ensure adherence to regulatory requirements. * Conduct disaster recovery and business continuity planning, ensuring rapid response and system recovery. * 5+ years of experience in DevOps, SRE, or cloud infrastructure roles. * Strong expertise in cloud computing (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and automation (Terraform, AWS CDK or equivalent). * Strong knowledge of Linux systems, networking, and security best practices. * Proficiency in monitoring, logging, and alerting tools such as Prometheus, Grafana, ELK, or Datadog. * Experience with incident response, root cause analysis, and performance optimization. * Familiarity with fintech security and compliance regulations is a plus. * Strong scripting or programming skills (Python, Go, or Bash) for automation. 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.

Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Principal Data Scientist - Stochastic Modeling, you'll utilize advanced quantitative & statistical techniques to drive business model and product innovation for Via. What You’ll Do: • Use Bayesian modeling and stochastic simulations to make inferences and predictions, for example about the behavior of drivers and riders in our deployments., • Own projects end-to-end, including data querying and cleaning, model training, model deployment, and, when necessary, building proof-of-concept web apps that leverage your models., • Hone your presentation and communication skills by giving regular reports on your progress and findings. Who You Are: • Have a Master’s or PhD degree from a top-tier university in neuroscience, physics, biology, math, economics, computer science, operations research, or other highly quantitative field, and a record of exceptional academic achievement., • Have worked in a full-stack setting (from data to proof-of-concept application), or are eager to gain this skillset., • Are hungry for knowledge. You enjoy reading and understanding recent scientific publications, and often build toy implementations of novel techniques to see how they function., • Have completed 2+ projects that utilized Bayesian inference, stochastic modeling, or both, in either an academic or industry environment., • Have written at least 10,000 lines of high-quality functional or object-oriented code in Python or other language suitable for data analytics., • Are a natural relationship builder that values camaraderie, comes with a sense of humor, and doesn't take themselves too seriously., • Can think on your feet and are curious, coachable, and self-motivated., • Are an extraordinary communicator with demonstrated writing, editing and visualization skills What Catches Our Eye: • Prior experience with SQL is a plus., • Authorship of one or more high-impact publications is a plus., • Prior role at a startup, or successful completion of a Postdoc, or experience working in another fast-paced environment is a plus. Compensation and Benefits: • Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable, • Salary Range: $125,000 - $165,000 per year, • We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching. We’re Via, and we build technology that changes the way the world moves. We’re driven by a simple mission: to create modern and efficient public transportation systems that provide far greater access to jobs, healthcare, and education. With our best in class suite of products, we make transit thrive. Our teams of world class engineers, data-scientists, product managers, operations specialists, marketers, transit experts and more bring cutting-edge AI-powered software and innovative technology-enabled operations to our partners across the globe. Founded in 2012, Via builds solutions to digitize, automate, and enable data-driven decision making for entire transportation networks; fixed-route buses, microtransit, paratransit, school buses, autonomous vehicles, and more. If you’re excited to be at the forefront of modernizing the future of transportation, are up for solving tough problems, and willing to become/already are a transit nerd, we are the place for you. Even if your past experience doesn’t align perfectly with every qualification in the job description for this role, we encourage you to apply. You may be just the right candidate for this or other opportunities. Ready to join the ride? Via is an equal opportunity employer.

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. Data is core to Perchwell's mission of creating a unified Multiple Listing System (MLS). As a Staff Data Engineer, you'll collaborate with cross-functional teams (Data Analysts, Product, Design, and Engineers) to build robust data solutions. From building a data lake and warehouse solution to scaling our existing data infrastructure, you'll create a best-in-class system to accelerate Perchwell's ability to onboard client data quickly and accurately. As a foundational member on this new initiative, you'll have the opportunity to shape the standards, culture, and values of the data engineering team. We are looking for teammates who are excited to work from our SoHo NYC office 3 days a week. * Create and scale powerful data pipelines that seamlessly integrate millions of property listings and market insights from multiple real estate data sources and APIs * Champion data excellence by architecting automated governance systems that ensure pristine data quality and deep observability across our platform * Lead the evolution of our data infrastructure to support rapid MLS onboarding, building solutions that will serve real estate professionals nationwide * Partner with our Data Analytics team to transform raw property data into actionable insights, powering decision-making tools and market intelligence dashboards * You bring 6+ years of hands-on data engineering expertise, with deep experience in Python, SQL, or Kotlin to tackle complex challenges * You have a proven track record of architecting and deploying resilient data pipelines that seamlessly integrate with third-party APIs, handling both batch processing and real-time data streams * You've mastered the art of workflow orchestration using modern tools like Airflow, Dagster, or Prefect, ensuring data flows smoothly and reliably * Experience with cloud architecture (preferably AWS) and technologies including S3, SQS, RDS, EMR, Glue, Athena, and Lambda * Experience working with data warehouses: redshift, snowflake, ClickHouse or google bigquery * Experience building CI/CD pipelines using GitLab, GitHub actions, Terraform, or Jenkins * You understand the bigger picture of microservices architecture and have implemented cloud data lake solutions that drive real business value * Ability to translate complex concepts for diverse audiences and thrive in collaborative environments 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 compensation for this position is $200-$245K base salary + equity + benefits * Unlimited PTO, plus 10 paid company holidays * 401K with a company match * Medical, dental, and vision plans * HSA and FSA options * Commuter benefits * Parental leave * Company-wide onsite or offsite each year * Beautiful office in Soho, Manhattan with a stocked kitchen, catered breakfast and lunch once per week, happy hours and meet-ups Note: At this time, we are only considering candidates who are authorized to work in the U.S.

Coders Connect are working with a high-growth audio AI company solving real-world challenges with cutting-edge ML and DSP. Their elite clients include top-tier AI labs and FAANG companies - and now they’re expanding their ML team. We’re hiring a Machine Learning Engineer who thrives on building production-grade ML systems, pipelines, and inference infrastructure. You’ll collaborate across product and data operations to deploy scalable solutions that transform audio into insight. What You’ll Be Doing • Design and implement advanced ML and DSP models for speech/audio, • Build robust inference pipelines and APIs, • Work cross-functionally to improve dataset quality and model performance, • Own the ML roadmap and influence strategic direction What You Bring • BSc degree in ML, data science, or engineering, • Strong applied ML experience (audio or signal processing ideal), • Proven track record of deploying ML models in production, • Python + PyTorch expertise; cloud experience (AWS/GCP) Ideal For: Candidates who can translate ML research into real-world impact - especially in fast-moving, high-growth

NOTE: This position requires a US citizen or Green Card holder. The Enterprise Application & Architecture Operational Support Project aims to modernize and transform the DOE’s technology systems to better support its mission of delivering equity and excellence in education. The project’s primary purpose is to improve the efficiency, scalability, security, and sustainability of DOE’s enterprise applications and supporting architecture. By doing so, it ensures that technology can effectively meet the evolving needs of DOE’s vast network of schools, educators, students, and families. RESPONSIBILITIES • Responsible for building and maintaining the infrastructure, automation, and tools needed for streamlined development, testing, deployment, and monitoring., • The DevOps Engineer collaborates closely with development teams to ensure that software can be deployed reliably and quickly while maintaining high availability and performance standards. KEY REQUIREMENTS • 5+ years of proven experience in implementing and managing DevOps practices, tools, and automation processes, with a strong focus on continuous integration/continuous deployment (CI/CD), infrastructure as code (IaC), and cloud services., • Strong knowledge of cloud platforms like AWS, Azure, or Google Cloud, and experience in managing cloud-based infrastructure for scalability, performance, and security., • Proficiency in automation tools and scripting languages such as Jenkins, Terraform, Docker, Kubernetes, Ansible, and Python, to automate workflows, infrastructure provisioning, and deployment pipelines., • Proven ability to collaborate across cross-functional teams, including developers, QA engineers, and operations, to ensure smooth integration and delivery of software releases., • Experience in setting up and managing monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK Stack) to ensure high application performance and proactive issue resolution., • Knowledge of security best practices for cloud-based applications, ensuring that DevOps pipelines comply with security policies, standards, and regulatory requirements., • Expertise in diagnosing and resolving deployment issues, system bottlenecks, and scaling challenges in production environments.

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: We seek a skilled Data Engineer to join our data team and drive the development and maintenance of robust ETL pipelines, data warehousing solutions, and marketing performance reporting systems. This role is critical in ensuring our organization has a reliable, scalable, and efficient data infrastructure to support data-driven decision making across marketing and business operations. WHAT YOU’LL DO • Work closely with data scientists, product managers, and software engineers to build and maintain data pipelines for popular marketing platforms (Google Ads, Facebook Ads, etc) using Python and Argo Workflows, • Implement data validation, quality checks, and monitoring systems to ensure data accuracy and reliability while optimizing performance and troubleshooting issues, • Support automated reporting solutions using Python, • Deploy these pipelines across multiple environments with Docker, Helm, Terraform, and Kubernetes, • Ensure data warehouse scalability, performance optimization, and cost efficiency, • Integrate new data pipelines on a management UI, ensuring it effectively supports setup and maintenance tasks WHO YOU ARE AND WHAT YOU HAVE • 2-5 years of experience in data engineering or related roles, • Highly proficient with Python, SqlAlchemy, Alembic, Pytest,, • Experience with SQL and relational databases such as Postgres, • Experience with database design and optimization, • Experience integrating with marketing APIs (Google Analytics, Facebook Marketing API, Salesforce, HubSpot, etc.), • Experience with deploying data pipelines in Python, • Experience with Git, GitHub, or other version control tools USEFUL EXPERIENCE • Experience with containerized architecture (Docker, Kubernetes, Argo Workflows), • Experience with DevOps practices and CI/CD (GitHub Actions), • Experience with data warehouses (Snowflake), • Experience with cloud infrastructure (AWS), • Experience with data visualization tools (Marketing Cloud Intelligence), • Knowledge of customer data platforms (CDPs) and marketing automation tools is preferred 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 $110K - $135K. 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-DNI

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.

Lead the future of dental care. Overjet is the global 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 Data Scientist 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 enterprise customers. You’ll have significant input into how the company develops its analytics architecture 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, • 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 consistent manners, • Ability to thrive in a fast-paced, technical, and mission focused environment Qualifications • Excellent academic background in Computer Science, Mathematics, Statistics, or a 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, • Background in healthcare is a plus., • 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, or at a prior high-growth start-up 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 Palo Alto, New York City, Boston, 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 • Certified as a ___, • Certified as a, • Won Best New Technology Solution for Dentistry at the ___, • Won Best New Technology Solution for Dentistry at the, • Honored as one of the ___, • Honored as one of 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.

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! 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 • Deliver data science and/or machine learning professional services to the customers. This will entail working closely with cross-functional teams to gather requirements, preprocess, and analyze data to develop data-driven solutions., • Support customers by helping to build custom data models, transformation, scorers/optimization loss functions/metrics that can be leveraged with H2O Driverless AI and help improve training performance for the customer use cases/domains., • Ability to design and run training sessions for our customers in data science concepts as well as using H2O products. Training will need to be able to be delivered to audiences with varying data science skills and abilities., • Help customers understand the nuances of data science, expert settings of H2O Driverless AI and H2O open source, and the strategies of experiment tuning that you would use to incrementally improve model performance. This also includes explaining model performance, model interpretability, and post deployment model monitoring concepts so as to ensure the business is making the right decisions on the model predictions., • Participate in the development of ML solutions and AI applications for internal use, contributing to the advancement of our technology stack.What We Are Looking For, • Proven experience in software engineering, data science, machine learning, and AI with a minimum of 2 years of professional hands-on experience., • Knowledge and experience of using a variety of machine learning techniques (supervised/unsupervised, clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning techniques., • Knowledge and experience of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) for practical applications., • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc., • Solid understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end to end ML pipelines, • Interest in Generative AI and Large Language Models (Prompt Engineering, Retrieval Augmented Generation, LLMOps, Making custom LLM models, fine tuning etc, Guardrails), • Strong problem-solving skills and the ability to work independently and as part of a team., • Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.How To Stand Out from the Crowd, • Experience with solving machine learning problems using H2O products , Python, R., • Experience of visualizing and presenting (EDA) to stakeholders using H2O Wave, or other standard data visualization libraries in the Python and R stacks or using Tableau/PowerBi., • Understanding and experience with post production model monitoring concepts and tools like H2O ML Ops MLFlow etc.Why H2O.ai?, • Market Leader in Total Rewards, • Remote-Friendly Culture, • Flexible working environment, • Be part of a world-class team, • Career Growth, • Salary range: $150,000 - 200,000 +H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. 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. #LI-Hybrid

Office Location: Lower Manhattan, NY - Hybrid About Accrete: Accrete AI is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology. At the core of our offerings are our AI agents, designed to autonomously analyze data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and also empower government entities to enhance security, intelligence, and operational efficiency Overview: We are seeking a skilled mid-level Machine Learning Engineer to join our team. In this role, you will have the opportunity to work on exciting projects that leverage machine learning techniques to build intelligent applications. You will collaborate with a team of talented engineers, researchers and data scientists, contributing to the development of AI solutions that deliver significant value to our clients. Responsibilities: • Work closely with machine learning researchers to facilitate the productionization of large-scale and cutting-edge artifacts (examples: machine learning models, scripts for fine tuning and testing models, etc.), the duties of which can include scaling up modeling/algorithm code and architecting systems that will be deploying the artifacts, • Work with large datasets to preprocess, clean, and prepare the data for training/inference, • Design, implement and optimize processing pipelines for scalability and efficiency, • Architect systems to facilitate research experimentation and artifact evaluation, • Collaborate with cross-functional teams to understand project requirements and deliver solutions, • Participate in code reviews, testing, and documentation to ensure high-quality deliverables, • Assist in mentoring and guiding early-career engineers, sharing best practices and fostering a culture of continuous learning Accrete values diverse experiences and we encourage applicants to apply even if you don’t meet all of the following criteria. While having all of the qualifications listed below can certainly make you a strong candidate, we acknowledge that great candidates aren’t defined simply by a list of skills. If you think you have other experiences that would make you a good match for this role, please apply! • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, Math, or a related field, • 3-5 years of professional experience in machine learning, MLOps or related fields, • Working knowledge of machine learning concepts, algorithms, and techniques, • Expert in software engineering principles and software development methodologies, • Proficiency in Python, • Experience with latest MLOps tools and machine learning frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn), • Demonstrated ability to preprocess, analyze, and visualize large datasets, • Experience with cloud platforms (e.g. AWS, GCP, Azure), related compute and storage systems, and with deploying machine learning models, • Knowledge of software development best practices, including version control and agile methodologies, • Experience with containerization and orchestration tools (e.g. Docker, Kubernetes, etc.), • Strong problem-solving skills, attention to detail, and the ability to work both independently and as part of a team, • Experience with deep learning architectures and natural language processing, • Understanding of reinforcement learning and other advanced machine learning techniques, • Experience deploying LLM-based applications Benefits: • Comprehensive, competitive benefits: health, dental, vision, prescription, long- and short-term disability and life insurance, and a 401(k) (Traditional & Roth), • Flexible PTO & all U.S. federal holidays off, • Daily catered lunch and a kitchen stocked with snacks and beverages

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