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About the Project: Sepal is conducting a research study to understand work excellence among data scientistss to establish professional benchmarks. Selected participants will share their professional background, design field-specific screening questions, and document substantial work projects as case studies.\n\nSample of Reported Job Titles: Data Scientist, Machine Learning Engineer, Data Analyst, AI Scientist, Quantitative Analyst.\n\nMUST-HAVE QUALIFICATIONS:\n-4+ years full-time experience as a data scientists\n-English language fluency\n-U.S. residency\n-Access to a laptop or desktop computer with reliable internet\n-Technology proficiency: Comfortable with messaging, video calling, and uploading files\n-Ability to follow detailed written instructions and complete online tasks independently\n\nCOMPENSATION AND LOGISTICS:\n-Hourly pay: $38–$170 per hour, plus task bonuses, based on experience and fit\n-Paid bi-weekly based on tracked and approved hours\n-Classification as 1099 independent contractor; engagement is at-will\n-Entirely remote—work whenever you like as long as deadlines are met\n-Current employment in the field is not required\n\n\n

Job DescriptionCareer Renew is recruiting for one of its clients a Quantitative Software Engineer - Crypto - this is a fully remote role for US/Canada based candidates. We lead the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research. As of April 2025, we manage risk and incentives covering over $42 billion in customer TVL. We continually publish cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institution — including academic institutions — in terms of peer-reviewed papers addressing DeFi as a subject. We’re a Series B company with around 75 employees, operating remote-first with a home base in New York City. Our mission is to drive adoption and understanding in the financial systems of the future. The unique challenges of decentralized systems call for innovative approaches in mechanism design, smart contract development, and financial product utilization. We lead in advancing this knowledge, ensuring safe progression through the evolving landscape of financial innovation. We are seeking highly skilled and motivated Quantitative Software Engineers to join our team. The ideal candidate possesses strong statistical and engineering skills, a passion for problem-solving, and the ability to work effectively in a fast-paced and collaborative environment. Responsibilities * Designing and implementing strategies for managing risk and optimizing DeFi protocols using quantitative models, simulations, and machine learning. * Develop tools and engines for parameter recommendations and drive impact to protocols. * Own the whole lifecycle of protocol integrations, including building data pipelines, working closely with cross-functional teams to define the data requirements and product offering. * Architect and refine data models and structures to support the evolving needs of DeFi analytics, simulations, methodologies and research development. * Contribute to making our core modeling platform world-class. * Maintain up-to-date knowledge of the latest industry trends, technologies, and techniques in software engineering. * Optimize Aera guardian logic to improve risk-adjusted yields, trade execution quality, and capital efficiency of strategies such as Protocol-Owned Liquidity for Aera Vaults. * Collaborate with other cross-functional teams, including internal and external teams * Stay current with the latest industry trends, market risk vectors, and market conditions to ensure that Aera strategies stay on the cutting edge of crypto and DeFi innovation. Qualifications * Minimum 4 years of direct hands-on experience trading or analyzing financial markets (crypto or traditional) professionally. * Experience developing statistical or quantitative models for financial markets. * Understanding of blockchain and DeFi protocols, concepts, and best practices (or a strong desire to learn). * Proficient at writing code in Python and SQL with a solid understanding of software engineering principles. * Knowledge of workflow orchestration (e.g., Dagster, Airflow) and distributed data processing technologies (Spark). * Excellent understanding of statistical modeling, machine learning, and optimization algorithms. * Experience with scientific computing packages such as Numpy/Scipy, Pandas, etc. * Ability to quickly internalize abstract concepts in new domains, coupled with strong problem-solving skills and attention to detail. * Ability to work independently and within a team, manage multiple projects, and meet deadlines. * Strong communication skills and the ability to work collaboratively in a distributed team environment. Bonus Points * Contribute to the forefront of DeFi economic understanding and optimization. * Work on projects that value deep research, quality, and practical outcomes. * Collaborate with a team committed to defining future financial systems. * Master’s or Ph.D. in Quantitative fields like Mathematics, Economics, Computer Science, Physics, or similar fields is a plus. Compensation & Package We provide base salary, On Target Earning potential in terms of cash bonuses & equity refreshers, in addition to your initial equity grant based on our Series B eval Benefits and Perks * Remote first - work from anywhere in the US & CAN! * Competitive packages with the added opportunity for incentive-based compensation * Regular in-person company retreats and cross-country "office visit" perk * 100% paid medical, dental and vision premiums for employees * Laptop provided * $1,000 WFH stipend upon joining * $100 per month reimbursement for fitness-related expenses * Monthly reimbursement for home internet, phone, and cellular data * Unlimited vacation policy * 100% paid parental leave of 12 weeks * Fertility benefits

Job DescriptionSalary: Position Title: Senior ML Engineer Location: Miami, Florida (In-Office) Reports To: Director of Technology Position Type: Permanent Full-Time ABOUT US duPont REGISTRY Group proudly marks four decades as a cornerstone of the luxury automotive market in 2025. Renowned for connecting millions of buyers and sellers worldwide, duPont REGISTRY Group has facilitated billions in automotive transactions while setting the standard for excellence in the industry. POSITION OVERVIEW As a Senior Machine Learning Engineer, you will design, develop, and deploy machine learning models that enhance customer experience, optimize inventory management, and personalize vehicle recommendations. Working closely with data scientists, product teams, and business unit leaders to lead complex projects that leverage large datasets and state-of-the-art algorithms to provide competitive advantages in the luxury automotive market. KEY RESPONSIBILITIES • Design, develop, and deploy scalable machine learning models to support vehicle recommendations, pricing optimization, demand forecasting, and customer segmentation., • Analyze large datasets from multiple sources (e.g., customer behavior, sales trends, vehicle specifications) to extract actionable insights., • Collaborate with data engineering and software teams to build robust data pipelines and integrate ML models into production systems., • Optimize model performance through hyperparameter tuning, feature engineering, and algorithm selection., • Lead research initiatives on emerging ML techniques and tools to continuously improve the platforms intelligence., • Mentor junior engineers and collaborate cross-functionally to align ML efforts with business goals., • Ensure models are interpretable, maintainable, and comply with data privacy regulations., • Stay up-to-date with industry trends and best practices in AI/ML. QUALIFICATIONS • Masters degree in Computer Science, Engineering, Mathematics, or related field., • 5+ years of professional experience in machine learning, data science, or related fields., • Strong proficiency in ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or similar., • Experience with data processing tools and cloud platforms (AWS or GCP)., • Deep understanding of supervised and unsupervised learning, deep learning, natural language processing, and recommendation systems., • Proficient in Python and SQL; experience with other programming languages is a plus., • Experience deploying ML models into production environments and working with APIs., • Strong problem-solving skills and ability to translate business needs into technical solutions., • Excellent communication skills with experience collaborating in cross-functional teams.

Job Description Location: Miami/Hybrid Employment Type: Full-time Reports To: Chief Executive Officer Shift and Schedule: Monday to Friday We are looking for a Lead Artificial Intelligence (AI) Engineer passionate about leveraging AI to discover and translate clinical data (structured and unstructured) into actionable insights, prescriptive analytics and treatment guidance for healthcare providers engaged in value-based care. This role involves architecting, developing, and supporting advanced AI computing resources and AI-enabled services. The ideal candidate will lead the charge in implementing scalable, high-performance computing infrastructures for AI/ML and data mining, collaborating with cross-functional teams to bring innovative AI solutions from conception to deployment. RESPONSIBILITIES AND DUTIES: • Architect, design, and implement scalable AI/ML computing infrastructures and application stacks., • Collaborate with scientists communities, data analysts, and business stakeholders to design and deploy AI solutions., • Develop and demonstrate AI use-cases, conducting workshops and training sessions to foster AI adoption., • Evaluate and implement best practices in AI/ML, data mining, and analytics., • Document architecture roadmaps, reference architectures, and standard operating procedures for AI solutions., • Provide expert consultation on AI-related standards, best practices, and governance frameworks., • Lead disaster recovery and business continuity planning for AI computing infrastructure., • Minimum Education: Master’s degree in Computer Science, Computer Engineering, Data Science, Information Technology, or related field. PhD preferred., • Minimum Experience: 5+ years in high-level architecture design and solution development for large-scale AI/ML systems., • Extensive experience with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch), time series analysis, predictive modeling, and NLP., • Expertise in predictive analytics, machine learning, deep learning architectures, and text analytics with NLP., • Proficiency in Python for AI/ML; experience with graph databases, neural networks, and MLOps., • Knowledge of high-performance AI computing platforms, Linux, and shell scripting in AI computing environments., • Exceptional communication skills to articulate technical solutions to both technical and non-technical audiences. This is an extraordinary opportunity for an AI enthusiast to apply their skills in a dynamic and impactful setting, driving advancements in healthcare. You will work within a collaborative ecosystem, pushing the boundaries of AI and ML to unlock new possibilities in medical research and treatment.

Job Description Role: AI/ML Engineer Location: Miami, FL – Onsite Position Type: Contract Required Skills & Qualifications • Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field., • 9+ years of hands-on experience in machine learning, deep learning, and AI product development., • Proficient in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost, Keras., • Strong understanding of data pipelines, model lifecycle, and MLOps practices., • Experience working with cloud platforms such as AWS, GCP, or Azure (e.g., SageMaker, Vertex AI)., • Solid knowledge of SQL and NoSQL databases., • Experience in feature engineering, model tuning, cross-validation, and performance optimization. Preferred Skills • Prior experience in the marketing or advertising domain, with models for customer behavior, LTV, churn prediction, or dynamic pricing., • Exposure to natural language processing (NLP) for ad copy/content optimization., • Familiarity with real-time data streaming tools (Kafka, Spark Streaming)., • Experience with data visualization tools (e.g., Tableau, Power BI, Dash). Soft Skills • Strong communication and collaboration skills to work cross-functionally with non-technical stakeholders., • Analytical mindset with a keen focus on delivering business value., • Proactive problem-solving and ownership attitude.

Job Description About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We partner directly with: AI-first startups building products powered by LLMs, generative AI, intelligent automations, Established tech companies: scaling their ML infrastructure, recommendation systems, and data platforms, and Enterprise innovation teams integrating AI into traditional domains such as finance, healthcare, and logistics. We collaborate directly with founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Our Client Is a San Francisco based startup building a GenAI-native platform that automates one of the most complex, time-consuming challenges in finance and Tax and turning dense tax documents into structured, usable data in minutes. Their system processes everything from K-1s and K-3s to intricate footnotes with near-human precision, achieving over 99% accuracy on income lines and streamlining workflows across Excel and API integrations. They serve some of the most sophisticated players in private wealth, and asset management, helping them move faster and make better decisions in an industry where accuracy and speed define competitiveness. Backed by seasoned founders and AI leaders from top-tier tech companies like facebook and salesforce, this team combines product craftsmanship with cutting-edge machine learning to bring intelligence to a domain that has long resisted automation. Recently acquired by a global technology leader, the company now operates with the mindset, pace, and creative autonomy of a startup but with the stability, benefits, and resources of an established enterprise. Youll be joining a team of proven builders whove scaled products to acquisition, engineered systems that power billions of data points, and are now applying GenAI to redefine how financial data is understood, structured, and acted upon. Location: Union Square, San Francisco Work type: Full Time, 5 days a week On-Site. Compensation: above market base + bonus + equity Visa: sponsorship available for candidates with demonstrated brilliance and expertise. What we are looking for Were seeking an Applied AI / ML Engineer with 5+ years of experience building and scaling commercial machine learning systems in meaningful ownership roles, especially with document understanding and extraction. You are an exceptional builder who thrives at the intersection of real world features and AI/ML engineering, someone who not only understands how models work, but also how to use them to deliver real, measurable value to end users. This role is central as they scale their GenAI-native platform for tax document processing, combining the velocity of a startup with the backing of resources and reach of a large multi national firm. Roles & Responsibilities * Build and scale the ML and product infrastructure that powers intelligent tax document processing at production scale. * Design and optimize inference systems, dataset pipelines, and specific logic to improve accuracy, speed, and quality as we expand to millions of documents. * Collaborate closely with accountants and tax domain experts to deeply understand workflows, pain points, and quality thresholds translating insights into productized ML systems. * Integrate inference pipelines into a seamless, end-to-end experience that transforms how tax professionals process and interpret documents. * Develop expert systems that encode institutional tax knowledge into scalable, maintainable software components. * Drive experiments, measure outcomes, and iterate rapidly on core ML metrics. * Collaborate cross-functionally with product, engineering, and leadership to shape technical direction and influence product vision. Qualifications Core Experience * 4+ years of experience in machine learning / AI engineering with proven end-to-end ownership of ML-powered products. * Strong track record of building systems that create direct user value, not just research prototypes or internal tooling. * Demonstrated ability to work with large, complex datasets, optimizing for accuracy, scalability, and reliability. Strong fundamental understanding of how to build, measure, and iterate on ML systems and ML-powered enterprise or consumer products. * Comfortable with Python and popular ML libraries (e.g. pandas, scikit-learn, spaCy, pytorch, tensorflow, keras), cloud providers such as GCP/AWS, container technologies (e.g. Docker, Kubernetes), web application development including Python-based web servers (e.g. Flask, Django), and database and storage layers (e.g. Postgres, SQL, S3/GCS). * Experience deploying or integrating LLMs, LLM APIs, Agents and prompt engineering into production systems. * Strong Python proficiency and hands-on familiarity with ML infrastructure and data workflows. * Experience in document understanding, OCR, or applied NLP. * Exposure to financial or tax-related data environments. * Startup or 01 product experience. Soft Skills * Exceptional problem-solving ability, curiosity, and product intuition. * Strong communication skills with the ability to engage directly with domain experts and translate complex needs into technical solutions. * Growth trajectory demonstrated through promotions or increasing scope of responsibility. Other roles in Applied AI / ML in the US, check them out here: * Applied AI / ML engineer focusing on LLMs, and Knowledge Graphs: [

Job DescriptionOur client is a cutting-edge company focused on revolutionizing global payments by building a scalable, zero-fee payment platform secured by Bitcoin. Their innovative technology enables fast, secure, and cost-effective digital transactions, with the potential to reshape how the world interacts with money. We are looking for a talented Smart Contract Engineer to join their growing team. This role offers the opportunity to work on innovative blockchain technologies and contribute to the development of secure, efficient, and reliable smart contracts that power our payment ecosystem. If you’re excited about joining a dynamic and purpose-driven environment where your ideas can shape the future, we’d love to meet you. Together, we can redefine what’s possible in the world of digital connectivity and data management.Key Responsibilities: • Design, develop, and deploy smart contracts for the platform using Solidity or other relevant programming languages., • Implement secure and efficient code while adhering to best practices for smart contract development., • Collaborate with backend and frontend engineers to integrate smart contracts into the platform., • Perform rigorous testing, debugging, and auditing of smart contracts to ensure security and reliability., • Stay informed about the latest developments in blockchain and smart contract technologies., • Contribute to the documentation of smart contract architecture and processes., • Participate in code reviews to maintain high-quality standards across the codebase.Key Requirements:, • 2–4 years of experience in blockchain development, with a strong focus on smart contracts., • Proficiency in Solidity and familiarity with Ethereum Virtual Machine (EVM)., • Understanding of security considerations and best practices for smart contract development., • Experience with tools such as Hardhat, Truffle, or Foundry for development and testing., • Familiarity with Web3.js, Ethers.js, or similar libraries for interacting with blockchain networks., • Strong problem-solving skills and attention to detail., • Excellent communication and collaboration skills.Preferred Qualifications, • Experience with Bitcoin Layer 2 solutions or similar blockchain ecosystems., • Contributions to open-source blockchain or smart contract projects., • Understanding of financial systems, payment protocols, or decentralized finance (DeFi).What We Offer, • Competitive salary and equity options., • Flexible working hours and remote-friendly environment., • The chance to work on cutting-edge technology with a talented, passionate team.

Job Description At Codelitt, we are more than just a product-development company - we are creators, innovators, and problem solvers. Our mission is to help companies unlock their potential by building exceptional digital experiences. We partner with businesses to bring their most ambitious ideas to life, from concept to launch and beyond. Our team thrives on challenges, pushing the boundaries of technology to craft solutions that make a real impact. If you're passionate about innovation and love tackling meaningful problems, you’ll find your home at Codelitt. About the Role! We’re looking for an experienced Senior Python Engineer to join our team on a high-impact engagement with one of our partners, a global leader in wealth-management technology. Together we’re building next-generation tools that automate the ingestion, analysis, and visualization of alternative-investment data - leveraging AI and Machine Learning to surface insights, streamline workflows, and transform how investors manage their portfolios. You’ll work side-by-side with data scientists, product managers, and fellow engineers to design and deliver cloud-native services that power these capabilities. If you’ve crafted scalable systems, love working on tough data problems, and enjoy rapid iteration with a cross-functional team, we’d love to meet you. Who You Are: • Python first. You’ve built and maintained production-grade Python microservices., • Cloud fluent. Comfortable with AWS, Lambda-based architectures, and Terraform., • Data-driven. Excited to process, aggregate, and compute on large datasets efficiently., • Ownership mentality. You gravitate toward the hardest problems and see them through. System Design & Development • Design, build, and iterate on web-based applications for alternatives-data professionals., • Implement well-architected, testable, and maintainable Python services.ML Integration, • Partner with machine-learning engineers to bring models into the backend stack., • Expose model outputs through clean APIs that power rich client experiences.Data Processing & Automation, • Automate document-based workflows that ingest and normalize unstructured finance data., • Optimize pipelines for performance, reliability, and observability.Collaboration & Documentation, • Work with product managers and client teams to refine requirements and gather feedback., • Document system designs, project plans, and code—keeping everything clear and readable., • 5+ years of professional software-engineering experience, primarily in Python., • Proven track record designing microservice architectures in a cloud environment (AWS preferred)., • Hands-on experience with infrastructure-as-code tools (Terraform, CloudFormation, etc.)., • Familiarity with ML workflows and bringing models to production (bonus for Pandas, PyTorch, or TensorFlow)., • Comfort with SQL/NoSQL databases, messaging systems, and streaming platforms (e.g., Kafka, Kinesis)., • Excellent problem-solving skills and attention to detail., • Strong communication skills and a collaborative mindset., • Ability to work effectively in a remote, cross-functional team. If this sounds like what you are looking for, we can't wait to hear from you! We will be in touch as soon as possible if there's a good fit. Thanks for your interest in Codelitt! Note: We are not interested in working with recruiters or any agencies at this time. Powered by JazzHR TbB4IlPDJ4

Job Description Our Client A fast growing standards and insurance startup based in San Francisco, they have raised 15 million dollars in funding and are reinventing how enterprises adopt AI agents. Their two pronged model, which includes creating the industry’s first AI agent standard and pairing it with bespoke insurance coverage, gives AI companies a trusted pathway to certify their agents and reduces enterprise risk. By helping AI vendors earn credible certification and providing insurance protection against failures such as hallucinations, data leaks, or control breakdowns, they enable enterprise buyers to deploy AI with confidence rather than fear. With deep expertise in AI risk, insurance, and standards, they are building the essential “confidence infrastructure” that will support safe AI scale up. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that’s deeply embedded in our clients’ recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Lead end-to-end development of AI agent products and infrastructure, collaborating closely with the founding team. * Build and scale evaluation pipelines to detect AI agent failures in deployment (e.g., hallucinations, jailbreaks, brand risks, data leakage). * Design and implement the gold standard for secure, safe, and reliable AI agents. * Develop and maintain full-stack systems, including backend (Python, LangChain) and frontend (React, TypeScript) components. * Create monitoring tools, filters, and authorization frameworks to support AI agent builders. * Work on-site in San Francisco, contributing to a fast-paced, high-agency startup environment. * Ship products frequently, gather user feedback, and iterate rapidly to improve reliability and safety of AI systems. Qualifications * Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. * 1+ years of experience as an AI Software Engineer with active coding responsibilities. * Proven expertise developing AI agents and LLM-based systems (e.g., published research or work in a leading AI team). * Founding or early-stage startup experience, with demonstrated ability to own end-to-end product development. * Strong understanding of AI evaluation methodologies and deployment reliability standards. * Excellent problem-solving and communication skills with the ability to articulate technical impact in business terms. * Evidence of high agency, ownership, and execution velocity (e.g., promotions in <2 years, side projects, or rapid iteration). * Can work full-time on-site in San Francisco (5 days a week).

Job DescriptionSalary: Position Title: Junior ML Engineer Location: Miami, Florida (In-Office) Reports To: Director of Technology Position Type: Permanent Full-Time ABOUT US duPont REGISTRY Group proudly marks four decades as a cornerstone of the luxury automotive market in 2025. Renowned for connecting millions of buyers and sellers worldwide, duPont REGISTRY Group has facilitated billions in automotive transactions while setting the standard for excellence in the industry. POSITION OVERVIEW As a Junior Machine Learning Engineer, you will assist in the development and deployment of machine learning models that enhance customer experience and optimize inventory management. Working closely with senior engineers and data scientists, you will gain hands-on experience with real-world datasets and state-of-the-art ML techniques while contributing to projects that drive the success of our luxury automotive platform. KEY RESPONSIBILITIES • Assist in building and testing machine learning models for vehicle recommendations, pricing, demand forecasting, and customer segmentation., • Support data cleaning, preprocessing, and feature engineering efforts to prepare data for modeling., • Collaborate with data engineering and software teams to help integrate ML models into production systems., • Help monitor model performance and assist in tuning and improving algorithms., • Participate in research on new ML techniques and tools under guidance., • Contribute to documentation and maintain code quality standards., • Learn and adhere to data privacy regulations and best practices., • Work closely with senior team members to align ML work with business goals. QUALIFICATIONS • Bachelors degree in Computer Science, Engineering, Mathematics, or a related field., • Some experience or coursework in machine learning, data science, or related areas., • Familiarity with ML libraries such as TensorFlow, PyTorch, or Scikit-learn is a plus., • Basic programming skills in Python and SQL; knowledge of other languages is beneficial., • Understanding of fundamental ML concepts including supervised and unsupervised learning., • Eagerness to learn, strong analytical skills, and attention to detail., • Good communication skills and ability to work collaboratively in a team environment.