Lead and grow a team of machine learning engineers, guiding career development, managing conflicts, and nurturing a positive work environment.
Run a portfolio of experiments, balancing near-term improvements with longer-horizon innovation bets, and make decisions on hypothesis resourcing.
Partner with Risk stakeholders to set direction from data, own delivery cadence, and represent team results to engineering leadership and the wider company.
Signifyd helps merchants grow their businesses by building trusted customer relationships through advanced technology that eliminates fraud and creates frictionless shopping experiences. The company is trusted by thousands of leading merchants across more than 100 countries, securely processing billions of transactions annually, and fosters a culture of commitment, empathy, and creativity.
Own fraud detection models end-to-end, from data acquisition to production and monitoring.
Research new fraud vectors and develop products for identity verification and financial risk.
Write production code and present analyses to drive product, risk, and sales decisions.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We are a rapidly growing fintech startup backed by world-class investors, with offices across the US and India.
Lead, grow, and develop a team of 3+ data scientists and governance professionals.
Own the fundamentals of model governance: performance monitoring, drift monitoring, fair lending assessments, validation, and more.
Set the strategy for the function, including automation, standardization, and customer relationships.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. They are a rapidly growing company backed by world-class investors, with offices across the US and India.
Lead a multidisciplinary team of ML engineers, data scientists, and analysts to improve identification accuracy.
Own the team's technical roadmap and drive measurable model quality outcomes at massive scale.
Collaborate with engineering, product, and customer teams to translate business needs into technical priorities.
This company provides a critical identification platform that leverages machine learning and data science for fraud prevention. It operates with a globally distributed team and values diverse perspectives and technical excellence.
Design, develop, and deploy foundational AI and ML models, building robust, scalable pipelines for advanced analytics.
Champion top-tier coding, testing, and MLOps practices, navigating ambiguity to refine pipelines and elevate workflows.
Partner with cross-functional stakeholders to convert strategic needs into technical specs and embed ML features into live applications.
Wave helps small businesses thrive so the heart of our communities beats stronger. They create an environment buzzing with creative energy and inspiration, valuing boldness, quick learning, and generous knowledge sharing.
Evaluate sophisticated machine learning models, traditional quantitative models, and emerging Generative AI applications.
Partner with cross-functional teams to maintain model inventories, risk assessments, and governance materials.
Translate complex technical concepts into clear insights for stakeholders and support regulatory readiness.
A growing technology-driven banking environment focused on consumer lending and financial services. The company emphasizes a remote-first culture, cross-functional collaboration, and inclusive workplace practices.
Lead and mentor a team of quantitative professionals while personally executing rigorous validations of machine learning models for underwriting and credit risk.
Evaluate conceptual soundness, data integrity, and performance stability through comprehensive testing, in-depth reviews, and continuous monitoring.
Collaborate with cross-functional stakeholders to enhance the enterprise-wide Model Risk Management framework and ensure compliance with internal and regulatory standards.
Affirm is a financial technology company that provides buy now, pay later services without hidden fees or compounding interest. It is a publicly traded, remote-first company with a large workforce and a culture focused on innovation, risk management, and putting people first.
Drive innovation across the machine learning ecosystem and architect advanced ML solutions.
Mentor junior ML engineers and lead complex ML initiatives at scale.
Own models in production including deployment, monitoring, drift detection, and retraining.
Xsolla is a global commerce company providing tools and services to help video game developers fund, distribute, market, and monetize their games. Headquartered in Los Angeles, California, Xsolla has helped over 1,500 game developers grow their businesses worldwide.
Lead and develop a multidisciplinary team of ML Engineers, Data Scientists, Analysts, and Analytics Engineers.
Own and drive the team roadmap in partnership with engineering leadership and cross-functional stakeholders.
Support the development, evaluation, deployment, and continuous improvement of machine learning models.
The company specializes in online trust and security using AI and machine learning, focusing on fraud prevention and digital identity. The team is globally distributed and fosters collaboration, psychological safety, and technical excellence.
Lead the development and improvement of MLOps platform capabilities supporting machine learning workflows across Oura.
Drive design and unification of workflows and tooling for reliable training, orchestration, and deployment of ML systems.
Partner with data scientists and engineers to improve the end-to-end ML lifecycle, including governance and maintainability.
Oura empowers people to own their inner potential through its award-winning Oura Ring and app, providing daily health insights. As a quickly growing company, we focus on team well-being and helping people live healthier, happier lives.
Design, build, and deploy machine learning models for cybersecurity use cases like threat detection and risk scoring.
Own the full model lifecycle from data preparation to production deployment, working closely with engineering and product teams.
Build preprocessing and feature engineering pipelines, and monitor model performance with continuous improvement.
SpyCloud transforms recaptured darknet data to disrupt cybercrime. With over 250 employees, it is home to cybersecurity experts protecting businesses and consumers from stolen identity data.
Own the ML/AI platform, including training infrastructure, model serving, inference pipelines, and production integrations.
Set technical direction for ML/AI architecture, tooling, standards, and strategy in partnership with data science and engineering.
Drive GenAI and LLM engineering, including RAG, prompt engineering, fine-tuning, and agentic workflows.
This company builds AI/ML infrastructure for financial technology products used by over 1,600 financial institutions. It operates as a globally distributed team with a focus on innovation and collaboration.
Define and execute AI/ML strategy aligned with product and business priorities.
Lead high-performing teams across machine learning, applied AI, data science, and research.
Oversee production ML systems, model evaluation, and responsible AI standards.
SignalFire is a VC firm partnering with early-stage startups across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS. With 200+ portfolio companies, they connect exceptional leaders with exclusive startup opportunities.
Design, build, and operate scalable backend services, APIs, and data pipelines for ML-driven personalization.
Improve reliability, performance, and observability of production ML systems, including model versioning and safe rollout.
Collaborate with data scientists and product engineers to translate business needs into robust technical solutions.
Hungryroot uses AI to build a consumer-centric food and wellness company, acting as a personal assistant for healthy living by recommending and delivering healthy groceries, recipes, and supplements. They are a distributed team across 28+ US states with a remote-first culture emphasizing collaboration, flexibility, and an annual company retreat.
Build, train, and deploy machine learning models and data pipelines using Python, pandas, NumPy, and scikit-learn, ensuring scalability and reliability in production.
Design, implement, and continuously improve LLM-powered applications and Retrieval-Augmented Generation (RAG) pipelines, including prompt engineering, embedding strategies, and vector store integration.
Conduct exploratory data analysis and design data visualizations to uncover trends and communicate key metrics to both technical and non-technical stakeholders.
Great Gray Group is a leading independent provider of trustee and administrative services for Collective Investment Trusts, with over $370 billion in assets under management. They are a high-growth organization backed by Madison Dearborn Partners, fostering a culture of collaboration, innovation, and continuous improvement.
Own the ML/AI platform including training infrastructure, model serving, inference pipelines, and production integration.
Drive the GenAI/LLM strategy including retrieval architectures, evaluation harnesses, and agentic workflows.
Partner with data scientists, DevOps, and backend engineers to productionize models and define API contracts.
SavvyMoney is a US-based financial technology company providing integrated credit score and personal finance solutions to over 1,600 banks and credit unions throughout the United States. The company was recognized as a 'Top 25 Places to Work' in the San Francisco Bay Area and is an Inc. 5000 Fastest Growing Company.
Lead AI/ML strategy, architecture, and technical implementation across complex programs.
Design, develop, and deploy scalable AI/ML models and intelligent systems for decision support and automation.
Integrate cybersecurity, data governance, and compliance into AI/ML development workflows.
This company specializes in AI and machine learning solutions, focusing on secure, scalable production deployments. It fosters a collaborative culture with opportunities to work on advanced technologies and mentor others.
Build and deploy machine learning models for credit and fraud risk management.
Collaborate with engineering to deploy models into production and analyze portfolio performance.
Communicate findings to stakeholders and develop internal tools for data science productivity.
Prosper is a fintech company that offers personal loans and credit cards through a digital marketplace. They have helped over 2 million customers and emphasize a collaborative, inclusive culture with flexible work options.
Architect and develop robust, end-to-end machine learning solutions, managing the complete ML lifecycle from development to production.
Collaborate closely with data engineers and data scientists to create highly scalable solutions and integrate them across the software development life cycle.
Evaluate cloud solutions for performance and cost-efficiency, and communicate technical concepts clearly to stakeholders and teams.
Coderio designs and delivers scalable digital solutions for global companies, combining strong technical expertise with a product mindset to lead complex software initiatives end-to-end. They work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.