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.
Partner with product, data science, and engineering teams to design, develop, and deploy machine learning and optimization solutions for ads delivery.
Train, deploy, and scale ML models as microservices, working with infrastructure engineers to integrate model outputs into ads systems.
Establish unified logging, alerting, and monitoring for model inference, system latency, data drift, and concept drift.
Life360's mission is to keep people close to the ones they love through a mobile app, Tile tracking devices, and Pet GPS tracker. The company serves approximately 97.8 million monthly active users across 180+ countries and has a remote-first culture with over 500 employees.
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.
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.
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.
Build a cloud-native big data platform handling audience data for millions of attendees and billions of interactions.
Design and own ML infrastructure including feature stores, training pipelines, and model serving.
Own the full data pipeline from ingestion to business impact, ensuring reliability and performance.
Hive is a marketing platform that helps event marketers personalize and automate campaigns to sell out shows and engage fans. The company is a fully remote team located across Canada, fostering a work environment with strong work-life balance and a focus on impactful outcomes.
Architect and lead the development of next-generation, large-scale machine learning techniques.
Define and execute the ML strategy, identifying opportunities to enhance personalization and recommendation quality across Reddit.
Partner with ML infrastructure teams to build high-performance, distributed training systems that efficiently scale across multiple GPUs and cloud environments.
Reddit is a community of communities, built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Drive technical strategy and architecture for the serving ecosystem, ensuring APIs and services evolve with business needs.
Lead development and optimization of real-time serving systems for low-latency, high-throughput ML model predictions.
Collaborate cross-functionally with product, design, data science, and ML engineering to architect scalable solutions.
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals globally. The company is committed to inclusion and belonging, fostering diverse ideas to drive innovation and develop the best products.
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.
Build and own the model serving infrastructure, real-time inference, feature retrieval, and the latency budget that governs both.
Build the deployment path for data scientists to ship models, including bring-your-own-model support.
Own models in production: monitoring, drift detection, retraining, incident response, and the on-call rotation.
Sardine is the leading agentic risk platform for fighting financial crime. We are a remote-first company with hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo, hiring talented individuals with extreme ownership and high growth orientation.
Build monitoring infrastructure for production ML and GenAI models.
Define and track model health metrics including accuracy, drift, and output quality.
Partner with data scientists and ML engineers to integrate monitoring into deployment lifecycle.
Liberty Mutual is a global insurance company that provides property and casualty insurance. The company values inclusion, professional development, and employee well-being, offering comprehensive benefits and workplace flexibility.
Independently own high-value optimization initiatives across training, inference, or launch-readiness for important Ads ML workloads.
Diagnose bottlenecks in real production systems using profiling, benchmarking, and observability.
Build performance tooling, optimization playbooks, and efficiency primitives that benefit multiple teams.
Reddit is a community of communities built on shared interests and authentic conversations. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit has a flexible workforce and values collaboration.
Build and iterate on end-to-end ML solutions for misdirected email detection.
Collaborate cross-functionally to turn customer needs into product improvements.
Run rigorous experiments and evaluations to ensure reliable detection.
Abnormal protects organizations from AI-powered cybercrime using its behavioral AI platform. Trusted by 4,500+ enterprises, the company focuses on securing email, identity, and AI systems.
Build, evaluate, and maintain underwriting and decisioning models that determine customer approvals and terms.
Design and run experiments to evaluate model performance and measure impact on approval rates and loss.
Collaborate with Product, Engineering, Legal, Compliance, and Operations to ensure systems reflect business goals and regulatory expectations.
FloatMe is a fintech company that builds underwriting and decisioning systems to determine customer approvals and terms. It operates as a fast-moving, high-standard team focused on rigorous ML work.
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.
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.
Data thought partner to product and business leaders across teams through providing insights, recommendations, and enabling data informed decisions.
Drive day to day analytics and create scalable data tools.
Identify pain points in customer support operations and work with product leadership to improve experiences for our guest, host and agent community.
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
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.