Own the model lifecycle: requirements, experimentation, model development, evaluation.
Translate complex fraud patterns into well-framed ML solutions: defining what to model, what success looks like.
Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain.
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions. They work with more than 1,000 leading merchant partners across industries and are backed by some of the most prominent technology investors in the industry.
Build and improve AI-native products and data-driven systems.
Rapidly prototype and iterate on AI-powered features.
Analyze, evaluate, and improve model outputs and system reliability.
FutureProofing is a talent platform focused on embedding high-caliber technical talent into startups building real AI-driven products. They work at the intersection of startup execution and real AI product development, helping companies build and improve production AI systems.
Develop strategies for monitoring and preventing fraud across our network.
Leverage advanced data analytics to identify loss drivers and optimize fraud management strategies.
Report on fraud trends and loss drivers to cross functional partners and senior management.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The company is remote-first, and offers employees competitive benefits.
Develop AI systems that automate dispute and chargeback handling using structured evidence and business logic, creating a better experience for our customers.
Build models that automate refunds, getting money back to our customers faster.
Build and maintain evidence extraction pipelines that process unstructured data using LLM-powered workflows to produce structured, actionable outputs.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They are a remote-first company with competitive benefits and focus on an inclusive interview experience.
Own end-to-end analytical problems from framing through modeling and stakeholder rollout.
Build predictive and inferential models to improve product and operational decisions.
Partner with Product, Engineering, and Operations to define metrics and drive insights.
Focal Systems is the industry leader in retail AI solutions, using deep learning computer vision to automate and optimize brick and mortar retail. They are a tight-knit team with an ambitious mission, deployed at scale with top retailers worldwide.
Independently deliver analytical projects across the consumer credit lifecycle, including acquisition, account management and collections
Build statistical and machine learning models through all phases of development, from design through training, evaluation, validation and implementation
Use a broad set of technologies: SQL, PySpark, Python, AWS and more to obtain insights from large volumes of data
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. They have an amazing team of 25,200 people in 32 countries.
Design and maintain data pipelines and auto-labeling systems to support ML model training from multimodal data.
Write and optimize SQL queries for data extraction, analysis, and ingestion from various sources.
Develop and prototype learning-based models using a data-centric approach with techniques like active learning and fine-tuning.
Serve Robotics is reimagining urban delivery with sidewalk robots, aiming to reduce congestion and support local businesses. The team is an agile, diverse group of tech industry veterans focused on robotics, machine learning, and end-to-end user experience.
Building pipelines that augment documents with metadata.
Building systems to ensure the reliability and accuracy of hundreds of web scrapers.
Optimizing and evaluating our core utils, which do things like extracting and resolving citations.
We are hiring a senior software/data engineer to help build the largest case law dataset. Our data coverage includes US laws and court decisions and powers our lawyer-facing AI platform and B2B data services.
Develop and deploy advanced analytical models, including machine learning, predictive modeling, forecasting, and anomaly detection.
Apply AI/ML techniques to solve complex business problems and identify patterns, risks, and opportunities within large, multi-source datasets.
Design, build, and maintain scalable analytical solutions and reusable data science frameworks.
Cook Research Inc. is a global, family-owned company committed to improving patients’ lives since 1963. They value every voice, bring together inclusive teams who collaborate well, and encourage learning and innovation.
Design and manage search recommendation services and models to support the content team.
Utilize machine learning-based personalization to enhance content matching and distribution.
Collaborate with cross-functional teams to identify needs and define success metrics.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million people in 100+ countries, Binance offers a range of products from trading to Web3 with a flat organizational structure and a focus on user-centric innovation.
Champion a data-first approach across internal teams and client engagements, promoting clarity and impact
Build and deploy machine learning models to prevent fraud across diverse fintech use cases, from proof-of-concept through to production
Develop and track metrics to measure and monitor the performance of our risk products and the effectiveness of risk management strategies
Sardine is a leader in fraud prevention and AML compliance. Their platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. They have raised $145M from world-class investors and maintain a remote-first work culture.
Proactively reach out to prospective partners to discover companies that we can serve.
Own the sales process by leading meetings, building relationships, marshalling SentiLink resources to deliver solutions, preparing analytical business cases, and closing commercial agreements.
Navigate complex organizations to align with decision makers and build champions within prospects and partners.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transaction with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.
Design, develop, and deploy AI/ML models to automate and improve internal workflow.
Build and maintain ML pipelines within an AWS cloud environment.
Integrate ML capabilities into existing Java and React application workflows.
Oddball aims to improve daily lives by delivering quality software to the federal space. With a team of experienced engineering, product, and UX professionals, we value learning, growth, and making a big impact in a rapidly growing company.
Design and operate core AI platform components for training, deploying, and serving ML models at scale.
Own model serving and inference workflows end-to-end, optimizing for reliability, latency, throughput, and cost.
Collaborate with product, infrastructure, and security teams to build scalable platform capabilities for AI-powered features.
Mozilla Corporation is the non-profit-backed technology company behind Firefox and Pocket, with over 225 million monthly users. A wholly-owned subsidiary of the Mozilla Foundation, the company is mission-driven, employee-owned, and focused on privacy and open standards.
Work with large-scale datasets and production environments.
Build data pipelines, experimentation frameworks, and analytical solutions.
Use cloud environments and modern data infrastructure.
RYZ Labs is a startup studio founded in 2021 by two lifelong entrepreneurs. Their teams are remote and distributed throughout the US and Latam, using the latest cutting-edge cloud computing technologies to create scalable and resilient applications.
Design and develop data pipelines, scoring algorithms, and API infrastructure to power AI-driven matching and recommendation capabilities.
Build and maintain integrations between the matching engine and an existing program management platform.
Collaborate with SMEs to build, test, and refine user-configurable matching logic.
LMI is dedicated to accelerating government impact with innovation and speed, bringing commercial-grade platforms and mission-ready AI to federal agencies. Headquartered in Tysons, Virginia, they are committed to delivering impactful results that strengthen missions and drive lasting value.
Quickly get up-to-speed on Zscaler’s SecOps platform, utilizing Python and APIs to configure, customize, and automate data transformations and workflows.
Partner with cybersecurity subject matter experts (SMEs) to onboard new data pipelines and map diverse IT and security sources to fulfill specific customer use cases.
Proactively troubleshoot pipeline health and audit customer data across environments to identify quality issues, flag security gaps, and define clear remediation steps.
Zscaler accelerates digital transformation to ensure customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, they leverage the world’s largest security data lake to power their cloud-native Zero Trust Exchange platform. They build high-performing teams that can make an impact quickly and with high quality.
Proactively explore data to identify customer problems and product bets.
Translate ambiguous problems into clear analyses and recommendations.
Partner with Product Managers to shape roadmaps.
RevenueCat removes the headaches of building and scaling in-app subscriptions. We're a remote-first crew of 120+, spread across 25 countries, helping everyone from solo devs to the OpenAI mobile team understand and grow their revenue.
Lead the team and oversee operating model, from project inception to evaluation and maintenance.
Partner with product and engineering teams across the Buyers Edge Platform organization to determine and deploy data science and AI applications.
Use proprietary and external data sources to build forecasting, anomaly detection, and decision-support capabilities.
Buyers Edge Platform revolutionizes the foodservice industry through technology, purchasing power and partnerships. With a diverse portfolio of over a dozen brands, they are dedicated to empowering stakeholders across the entire foodservice ecosystem with efficiency and unprecedented visibility.
Be the Analytics Engineering lead within the Sales and Marketing organization.
Be the data steward for Sales and Marketing: architect and improve the collection of underlying data.
Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation.
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