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.
Lead a team of platform engineers to build and operate ML training and serving infrastructure, including GPU and low-latency serving.
Combine strong people leadership with technical judgment in ML infrastructure, partnering with senior ICs and cross-functional teams.
Drive delivery, operational health, and evaluate modern ML tooling to support company-wide ML priorities.
Affirm is reinventing credit to make it more honest and friendly, offering buy now pay later solutions without hidden fees. It is a remote-first company with a strong engineering culture, prioritizing people and providing competitive benefits.
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.
Build ML models for production use and perform in-depth exploratory data analysis to scope opportunities.
Suggest and implement new features to improve model performance and business logic.
Translate client business problems into ML problems and build scalable models for claim time series forecasting and NLP.
EvolutionIQ delivers state-of-the-art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient. The company is experiencing massive growth and has been named one of Inc.'s Best Workplaces 3 years in a row and Built In's Best Places to work in 2025 and 2026.
Design and maintain ML model productionization infrastructure for high-visibility product features.
Collaborate with data science to streamline model training, validation, and deployment.
Implement robust monitoring and alerting for model performance, drift, and data quality.
The Athletic is a sports media company powered by one of the largest global newsrooms in sports, delivering in-depth coverage of professional and college teams across North America and Europe. With over 500 full-time staff, they foster a collaborative culture focused on high-quality journalism and data-driven innovation.
Lead a high-performing AI and data science team to develop and deploy AI-driven security systems.
Define and execute the technical roadmap for AI, ML, and data systems, ensuring robust performance and scalability.
Manage the entire lifecycle of data pipelines and AI models, integrating with platforms like AWS Bedrock and OpenAI.
Bugcrowd is a crowdsourced security platform that unites organizations with a global network of hackers to identify vulnerabilities. The company is backed by prominent investors and fosters a collaborative, inclusive culture with a diverse team of professionals.
Develop and iterate on underwriting prediction models using a mix of approaches for tabular and sequential data.
Build and scale feature pipelines and training datasets from proprietary and third-party signals.
Prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production.
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 a remote-first, publicly traded organization with a strong culture focused on people come first.
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.
Lead and develop a team of data scientists to deliver proof-of-concept projects for enterprise customers.
Build and review ML models, conduct fraud analyses, and ship production-grade solutions alongside your team.
Partner cross-functionally with Engineering, Product, and GTM to scope work and influence the roadmap.
Sardine is the leading agentic risk platform for fighting financial crime. With over 6 billion profiled devices and a remote-first culture, we hire self-motivated individuals who value performance over hours.
Design, develop, and deploy machine learning and statistical models for forecasting and risk assessment.
Use experimentation and statistical methods to test product changes and improve customer experience.
Analyze large datasets to identify signals, engineer features, and inform model design.
Pipe is a financial technology company that provides a platform for businesses to access capital. It is a fully remote company with a culture of authenticity, humility, and excellence.
Lead complex modeling and analytical initiatives as a technical authority.
Drive modeling strategy and raise technical standards across the organization.
Leverage deep learning and LLMs with traditional methods to deliver real impact.
Gradient AI is a decision-intelligence platform for the insurance industry, using data to reveal risk and improve performance. Backed by $56M in Series C funding, it's a fast-scaling startup with a fun, team-oriented culture.
Define the multi-quarter vision and strategy across Machine Learning & Recall and Query teams.
Drive query intelligence and advance recall systems to improve search-attributed conversion and revenue.
Build evaluation frameworks and optimize ML performance trade-offs for low-latency production.
Constructor provides product search and discovery solutions for large retailers, serving billions of requests weekly. The company is a remote-first, growing team of technologists that values empathy, openness, and continuous improvement.
Lead the ML strategy and architecture for Shopping Ads delivery across targeting, retrieval, ranking, conversion, and value optimization.
Own end-to-end model development from opportunity sizing to monitoring and iteration.
Drive complex initiatives requiring coordinated changes across multiple teams.
Reddit is a community of communities built on shared interests, passion, and trust, hosting open and authentic conversations. With 100,000+ active communities and 130 million daily active users, it is one of the internet's largest information sources.
Design, train, and ship ML systems for governance and security like anomaly detection and trust scoring.
Build data pipelines, model serving, evaluation frameworks, and feedback loops.
Set technical direction, own architecture, and help recruit and mentor as the team grows.
Docker provides developer tooling trusted by over 20 million monthly users and billions of container pulls. They are a globally distributed, remote-first team building tools for software delivery.
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.
Drive product and business impact through statistical modeling, experiment design, and Bayesian marketing analysis across our search engine and AI products.
Build monitoring pipelines and evaluation datasets to detect traffic pattern shifts and improve AI-assisted answers in a privacy-first environment.
Collaborate with product teams to design and analyze experiments, deriving insights from sparse, privacy-constrained data.
DuckDuckGo is an online protection company and remote-first team of 300+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, we offer a culture of trust, inclusivity, and empowered project management where each team member takes full ownership of their projects.
Lead the Promise team to drive roadmap and delivery, partnering across Product, Sales, Customer Success, and Support.
Stay hands-on with PR reviews, architecture decisions, and AI-native development, tracking industry trends.
Build and manage a high-performing engineering team, setting clear OKRs and managing performance.
Narvar is a platform that simplifies post-purchase experiences for retailers, helping them retain, engage, and delight customers. With hubs in San Francisco, Atlanta, London, and Bangalore, Narvar works with over 1300 brands and has served over 125 million consumers worldwide.
Define and execute a product roadmap for Search, aligned with Yelp's business objectives and industry trends.
Lead development of Search products from conception to launch, leveraging data-driven insights and algorithm optimization.
Collaborate with engineering, design, and data science to deliver exceptional products and drive consumer engagement.
Yelp is the ultimate guide to local living, connecting people with great businesses in their neighborhoods. With hundreds of millions of users and a vast business ecosystem, Yelp fosters a culture of innovation and collaboration.
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.
Design, build, and operate large-scale ML solutions for ad delivery performance.
Collaborate with cross-functional teams to deploy models into production.
Mentor peers and contribute to ML best practices and AI-native development.
The company is a technology firm focused on AI-driven advertising solutions. It operates in a remote-first environment with a collaborative and inclusive culture.
Drive GenAI-powered recommendations leveraging Reddit's unique community landscape and conversational data.
Set technical direction for relevance and feeds teams, influencing strategy across multiple orgs.
Mentor and grow senior and staff engineers while fostering a strong engineering culture.
Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open conversations. With 100,000+ communities and 130 million daily active users, it is one of the internet's largest information sources.