Build and maintain Confido's centralized data warehouse and analytics infrastructure. Design scalable data models, establish data standards, and enable self-service analytics across the organization.
Lead pricing and risk strategy for fantasy sports markets while managing a team of pricing analysts and data scientists. Requires 5+ years in sports betting/fantasy, strong data science skills, and proven management experience.
Develop and optimize Nextflow-based bioinformatics pipelines for high-throughput sequencing analysis on Google Cloud Platform. Requires 3+ years of production pipeline experience, Nextflow proficiency, and strong genomics analysis skills.
Senior BI Analyst on the Revenue Strategy & Operations team analyzing sales and customer data to optimize revenue processes, forecasting, and monetization within a DSP platform.
Build large-scale ML experimentation and training orchestration platforms, including agentic AI execution systems, to accelerate Ads ML development at Reddit. Requires 5+ years infrastructure experience and 2+ years building production ML platforms.
Growth-oriented data analyst embedded with marketing to synthesize channel performance, own KPI reporting, and drive real-time budget and experiment decisions from messy data.
Lead data science efforts at Chess.com, managing a lean team while building algorithms and models for fair play detection and product features. Requires 5+ years experience, strong Python/SQL skills, ML fundamentals, and proven leadership/mentorship ability.
Senior individual contributor architecting and scaling agentic LLM systems that turn messy manufacturing data into reliable root-cause insights. Owns orchestration, retrieval, evaluation, and guardrails for non-deterministic production systems.
Senior Data Analyst building trusted data models and semantic layers to power AI-driven insights. Partners with Product, Finance, and CS teams using advanced SQL and BI tools.
Experienced data analyst partnering with GTM teams (Sales, RevOps, Marketing, CS) to deliver funnel, attribution, and revenue insights. Requires strong SQL, BI tooling, and stakeholder communication skills.
Research and implement high-performance vector indexing and retrieval algorithms for Milvus and Zilliz Cloud. Requires 3+ years in vector search or HPC, strong C++ or Rust skills, and a research-driven engineering mindset.
Architect and build foundational data infrastructure for massive simulation outputs. Design novel data models and high-throughput pipelines to feed LLMs with structured context from complex, state-based environments.
Senior ML Engineer building and deploying production risk and fraud detection models at scale for Cash App and Square. Owns end-to-end ML systems and partners cross-functionally to reduce financial loss.
Own retention marketing analytics, design A/B test frameworks, analyze user behavior, and build BI reporting systems to optimize retention spend and strategy. Requires 1+ years analytics experience, advanced SQL, Python, and Tableau.
Product Analyst responsible for end-to-end analyses, A/B testing, dashboard building, and delivering data-driven insights to Product, Engineering, and Design teams. Requires 2-4 years analytics experience and strong SQL skills.
Lead advanced analytics for Airbnb Payments, driving data-informed decisions, experimentation, and scalable reporting to optimize global payment operations and user experiences.
Build and improve large-scale ML models for personalization and recommendation across Pinterest surfaces including Shopping. Requires 5+ years applying ML methods and experience with big data pipelines.
Senior Research Engineer building data synthesis, analysis, and management tooling for AI safety model training and evaluation. Requires strong software engineering, statistics, and ML framework expertise.
Work as a fullstack applied researcher adapting multimodal video foundation models for production. Focus on controllability, personalization, and end-user quality using SFT, RL, and data-driven refinement.
Research and develop data science methods to enhance NEXUS tabular model performance across enterprise datasets. Design production-grade Python components and run rigorous experiments to improve prediction on real-world structured data.
Build and own Bilt's full data stack including BigQuery warehouse, dbt models, CDC/streaming pipelines, and observability. Drive analytics, data modeling, and self-service tooling for business stakeholders.
Entry-level Data Engineer building and maintaining data pipelines on a medallion lakehouse architecture using Python and SQL. Works under guidance on ingestion, transformation, orchestration, and monitoring tasks.
Lead technical vision and execution for post-training systems that transform foundation models into intelligent, engaging products. Drive alignment algorithms, RL, and infrastructure for large-scale LLM training and serving.
Own the end-to-end lifecycle of memory features for AI agents. Fine-tune models, implement research, build evaluations, and ship production systems with Engineering.
Lead the data engineering team to build and evolve a modern cloud-native data platform, drive data culture, and deliver high-impact data products for risk, customer acquisition, and financial services.
Research and develop improvements to models' personalization and agentic capabilities through reinforcement learning, dataset creation, and post-training methods. Requires strong ML engineering skills and research experience with novel models.
Build and own quantitative models and new indices for a CFTC-regulated prediction market exchange. Work directly with engineering, product, and trading on novel problems.
Own end-to-end data strategy and RL environment creation for domain-specific knowledge work (finance, healthcare, legal). Combine applied research with hands-on data sourcing, vendor management, and model performance measurement.
Own business intelligence and analytics for home services contractors. Define core operational views, benchmarks, and reporting that drive customer performance. Partner with Product and Engineering.
Senior ML Engineer focused on fine-tuning and deploying LLMs and generative AI features into Firefox, emphasizing privacy, latency, and user experience.
Hands-on Data Engineer building the core data layer for a fast-growing AI observability startup. Own data models, pipelines, and trusted metrics across product usage, revenue, and GTM systems while partnering with Sales, RevOps, Marketing, and Finance.
Lead advanced analytics for fraud and safety at Airbnb. Build self-service data tools, design experiments, and create dashboards to help cross-functional teams make data-driven decisions on risk and policy.
Design and implement scientific data models and AI/ML solutions for biopharma customers. Engage onsite with scientists in Indianapolis area to translate complex data workflows into scalable cloud-based applications.
Product Data Scientist embedded with Product and Engineering to define metrics, run experiments, and turn product usage data into actionable recommendations for AI platform decisions.
Lead design and delivery of high-priority AI initiatives across multiple codebases. Build and ship AI-powered features with strong backend fundamentals and product sense.
Design and build large-scale HD mapping datasets, data pipelines, and benchmarking tools to improve ML model accuracy for autonomous driving. Requires 3+ years experience, strong Python and statistical skills.
Build and operate Mercury's real-time ML inference platform for fraud risk decisioning. Own model deployment, observability, and lifecycle tooling with strong backend Python fundamentals.
First Data Scientist on Plaid's Embedded Insights team building analytics and measurement frameworks for ML models. Partners with product, engineering, and ML teams to drive data-informed decisions and evaluate model performance.
Drive ML initiatives from concept to production on the Embedded Insights team. Identify opportunities, build and deploy models using Plaid's financial datasets, and partner with product teams to deliver scalable customer-facing intelligence products.
Senior data engineer defining long-term data strategy, designing scalable pipelines, and leading cross-functional initiatives. Requires 8+ years experience, strong PySpark/SQL/Python skills, and expertise in Snowflake, Spark, Airflow, and dbt.
Build and maintain data infrastructure processing petabytes of data. Own end-to-end projects for data ingestion, transformation, and serving systems. Requires 3+ years of software engineering experience.
Design and implement evaluation frameworks and pipelines for AI systems using Evaluation-Driven Development. Build Python-based test suites, LLM graders, and measurement systems that guide prompt iteration and production deployment decisions.
Staff Data Scientist on the Risk team driving experimentation, statistical inference, and causal analysis to inform strategic decisions. Requires 7-10 years of DS experience, strong SQL/Python, and proven impact influencing leadership.
Senior Engineer building multi-agent AI systems, LLM integrations, and backend automation services that power Marketing Operations. Owns technical direction for agentic infrastructure connecting models to business systems.
Build and deploy cutting-edge Agentic AI and LLM systems to transform Airbnb's customer service experience, including Chat and Voice AI assistants. Requires 6+ years experience with production ML/AI systems at scale.
Build and own end-to-end AI agents for enterprise customers, integrating latest text/voice models and iterating based on real-world usage. Requires 8+ years of software engineering experience with Python and TypeScript.
Data Scientist driving marketing measurement and optimization at Pinterest. Builds statistical/ML models, attribution frameworks, and causal analyses to quantify ROI and guide revenue strategy.
Own feature engineering, model iteration, and A/B testing for an AI underwriting engine that influences rental decisions. Build production risk models and partner with Product and Engineering on high-stakes decisioning systems.
Lead payments analytics for a fintech company, optimizing transaction costs vs. success rates across ACH and card rails. Requires 7+ years in payments/fintech, advanced SQL, and deep knowledge of payment mechanics.
Research Engineer building and deploying production voice and multimodal ML models. Requires expert PyTorch, large-scale model training experience, and shipping user-facing ML systems.
Build and maintain Confido's centralized data warehouse and analytics infrastructure. Design scalable data models, establish data standards, and enable self-service analytics across the organization.
Lead pricing and risk strategy for fantasy sports markets while managing a team of pricing analysts and data scientists. Requires 5+ years in sports betting/fantasy, strong data science skills, and proven management experience.
Develop and optimize Nextflow-based bioinformatics pipelines for high-throughput sequencing analysis on Google Cloud Platform. Requires 3+ years of production pipeline experience, Nextflow proficiency, and strong genomics analysis skills.
Senior BI Analyst on the Revenue Strategy & Operations team analyzing sales and customer data to optimize revenue processes, forecasting, and monetization within a DSP platform.
Build large-scale ML experimentation and training orchestration platforms, including agentic AI execution systems, to accelerate Ads ML development at Reddit. Requires 5+ years infrastructure experience and 2+ years building production ML platforms.
Growth-oriented data analyst embedded with marketing to synthesize channel performance, own KPI reporting, and drive real-time budget and experiment decisions from messy data.
Lead data science efforts at Chess.com, managing a lean team while building algorithms and models for fair play detection and product features. Requires 5+ years experience, strong Python/SQL skills, ML fundamentals, and proven leadership/mentorship ability.
Senior individual contributor architecting and scaling agentic LLM systems that turn messy manufacturing data into reliable root-cause insights. Owns orchestration, retrieval, evaluation, and guardrails for non-deterministic production systems.
Senior Data Analyst building trusted data models and semantic layers to power AI-driven insights. Partners with Product, Finance, and CS teams using advanced SQL and BI tools.
Experienced data analyst partnering with GTM teams (Sales, RevOps, Marketing, CS) to deliver funnel, attribution, and revenue insights. Requires strong SQL, BI tooling, and stakeholder communication skills.
Research and implement high-performance vector indexing and retrieval algorithms for Milvus and Zilliz Cloud. Requires 3+ years in vector search or HPC, strong C++ or Rust skills, and a research-driven engineering mindset.
Architect and build foundational data infrastructure for massive simulation outputs. Design novel data models and high-throughput pipelines to feed LLMs with structured context from complex, state-based environments.
Senior ML Engineer building and deploying production risk and fraud detection models at scale for Cash App and Square. Owns end-to-end ML systems and partners cross-functionally to reduce financial loss.
Own retention marketing analytics, design A/B test frameworks, analyze user behavior, and build BI reporting systems to optimize retention spend and strategy. Requires 1+ years analytics experience, advanced SQL, Python, and Tableau.
Product Analyst responsible for end-to-end analyses, A/B testing, dashboard building, and delivering data-driven insights to Product, Engineering, and Design teams. Requires 2-4 years analytics experience and strong SQL skills.
Lead advanced analytics for Airbnb Payments, driving data-informed decisions, experimentation, and scalable reporting to optimize global payment operations and user experiences.
Build and improve large-scale ML models for personalization and recommendation across Pinterest surfaces including Shopping. Requires 5+ years applying ML methods and experience with big data pipelines.
Senior Research Engineer building data synthesis, analysis, and management tooling for AI safety model training and evaluation. Requires strong software engineering, statistics, and ML framework expertise.
Work as a fullstack applied researcher adapting multimodal video foundation models for production. Focus on controllability, personalization, and end-user quality using SFT, RL, and data-driven refinement.
Research and develop data science methods to enhance NEXUS tabular model performance across enterprise datasets. Design production-grade Python components and run rigorous experiments to improve prediction on real-world structured data.
Build and own Bilt's full data stack including BigQuery warehouse, dbt models, CDC/streaming pipelines, and observability. Drive analytics, data modeling, and self-service tooling for business stakeholders.
Entry-level Data Engineer building and maintaining data pipelines on a medallion lakehouse architecture using Python and SQL. Works under guidance on ingestion, transformation, orchestration, and monitoring tasks.
Lead technical vision and execution for post-training systems that transform foundation models into intelligent, engaging products. Drive alignment algorithms, RL, and infrastructure for large-scale LLM training and serving.
Own the end-to-end lifecycle of memory features for AI agents. Fine-tune models, implement research, build evaluations, and ship production systems with Engineering.
Lead the data engineering team to build and evolve a modern cloud-native data platform, drive data culture, and deliver high-impact data products for risk, customer acquisition, and financial services.
Research and develop improvements to models' personalization and agentic capabilities through reinforcement learning, dataset creation, and post-training methods. Requires strong ML engineering skills and research experience with novel models.
Build and own quantitative models and new indices for a CFTC-regulated prediction market exchange. Work directly with engineering, product, and trading on novel problems.
Own end-to-end data strategy and RL environment creation for domain-specific knowledge work (finance, healthcare, legal). Combine applied research with hands-on data sourcing, vendor management, and model performance measurement.
Own business intelligence and analytics for home services contractors. Define core operational views, benchmarks, and reporting that drive customer performance. Partner with Product and Engineering.
Senior ML Engineer focused on fine-tuning and deploying LLMs and generative AI features into Firefox, emphasizing privacy, latency, and user experience.
Hands-on Data Engineer building the core data layer for a fast-growing AI observability startup. Own data models, pipelines, and trusted metrics across product usage, revenue, and GTM systems while partnering with Sales, RevOps, Marketing, and Finance.
Lead advanced analytics for fraud and safety at Airbnb. Build self-service data tools, design experiments, and create dashboards to help cross-functional teams make data-driven decisions on risk and policy.
Design and implement scientific data models and AI/ML solutions for biopharma customers. Engage onsite with scientists in Indianapolis area to translate complex data workflows into scalable cloud-based applications.
Product Data Scientist embedded with Product and Engineering to define metrics, run experiments, and turn product usage data into actionable recommendations for AI platform decisions.
Lead design and delivery of high-priority AI initiatives across multiple codebases. Build and ship AI-powered features with strong backend fundamentals and product sense.
Design and build large-scale HD mapping datasets, data pipelines, and benchmarking tools to improve ML model accuracy for autonomous driving. Requires 3+ years experience, strong Python and statistical skills.
Build and operate Mercury's real-time ML inference platform for fraud risk decisioning. Own model deployment, observability, and lifecycle tooling with strong backend Python fundamentals.
First Data Scientist on Plaid's Embedded Insights team building analytics and measurement frameworks for ML models. Partners with product, engineering, and ML teams to drive data-informed decisions and evaluate model performance.
Drive ML initiatives from concept to production on the Embedded Insights team. Identify opportunities, build and deploy models using Plaid's financial datasets, and partner with product teams to deliver scalable customer-facing intelligence products.
Senior data engineer defining long-term data strategy, designing scalable pipelines, and leading cross-functional initiatives. Requires 8+ years experience, strong PySpark/SQL/Python skills, and expertise in Snowflake, Spark, Airflow, and dbt.
Build and maintain data infrastructure processing petabytes of data. Own end-to-end projects for data ingestion, transformation, and serving systems. Requires 3+ years of software engineering experience.
Design and implement evaluation frameworks and pipelines for AI systems using Evaluation-Driven Development. Build Python-based test suites, LLM graders, and measurement systems that guide prompt iteration and production deployment decisions.
Staff Data Scientist on the Risk team driving experimentation, statistical inference, and causal analysis to inform strategic decisions. Requires 7-10 years of DS experience, strong SQL/Python, and proven impact influencing leadership.
Senior Engineer building multi-agent AI systems, LLM integrations, and backend automation services that power Marketing Operations. Owns technical direction for agentic infrastructure connecting models to business systems.
Build and deploy cutting-edge Agentic AI and LLM systems to transform Airbnb's customer service experience, including Chat and Voice AI assistants. Requires 6+ years experience with production ML/AI systems at scale.
Build and own end-to-end AI agents for enterprise customers, integrating latest text/voice models and iterating based on real-world usage. Requires 8+ years of software engineering experience with Python and TypeScript.
Data Scientist driving marketing measurement and optimization at Pinterest. Builds statistical/ML models, attribution frameworks, and causal analyses to quantify ROI and guide revenue strategy.
Own feature engineering, model iteration, and A/B testing for an AI underwriting engine that influences rental decisions. Build production risk models and partner with Product and Engineering on high-stakes decisioning systems.
Lead payments analytics for a fintech company, optimizing transaction costs vs. success rates across ACH and card rails. Requires 7+ years in payments/fintech, advanced SQL, and deep knowledge of payment mechanics.
Research Engineer building and deploying production voice and multimodal ML models. Requires expert PyTorch, large-scale model training experience, and shipping user-facing ML systems.