Build and maintain scalable data pipelines, analyze large datasets, and develop models/tools to drive product decisions for a code review platform. Requires 4+ years data engineering experience, strong SQL, cloud data services, and visualization tools.
Data Scientist analyzes large datasets, builds scalable data pipelines using DBT, Segment, and Redshift, and drives product decisions through statistical modeling and visualization. Requires 4+ years experience, SQL proficiency, and cloud platform expertise.
Staff engineer leading Data Platform initiatives like scaling, stream processing, and GRC at massive scale. Requires 7+ years experience in distributed systems and data infrastructure, with strong architectural leadership and cross-functional influence.
Develops large-scale distributed systems and pipelines for multimodal AI pre-training, post-training, and inference across image, video, audio, and text. Requires expert Python proficiency, experience with JAX/PyTorch/XLA, and scaling multimodal ML systems.
Builds backend services and REST APIs serving data from Snowflake and other sources to internal teams, while supporting data pipelines with Airflow, Airbyte, and dbt. Requires strong Python, SQL, API design experience; preferred fintech background.
Builds advanced AI systems using LLM pipelines, vector search, agent frameworks, and multimodal tools to create intelligent interactive product demos. Requires 5+ years in software/AI engineering and a bachelor's degree.
Senior Performance Engineer benchmarks Cerebras inference performance against competitors for real workloads, measuring metrics like tokens/second and TCO, while modeling competitor pricing to inform sales strategies. Requires 5+ years in ML systems and deep expertise in open-source inference stacks and transformer optimizations.
Conducts claims analysis, repricing, and ad hoc data insights to support sales proposals and demonstrate value to clients and brokers. Requires 3-5 years experience, strong analytics, SQL/Excel/Looker/Tableau proficiency, and communication skills.
Conducts advanced statistical machine learning research focused on financial market prediction and portfolio optimization. Develops, validates, and deploys predictive models using diverse datasets in a collaborative research environment. Requires PhD-level expertise in ML and strong mathematical background.
Leads a team of data scientists on analytical systems for trading and research, providing technical direction, mentoring, and developing monitoring pipelines. Requires Master's degree, 3+ years managing data scientists, and expertise in data tooling and statistical methods.
Analyzes complex financial datasets to derive actionable insights for trading systems, monitors data health, and communicates findings to leadership. Requires 1+ years experience with SQL, Pandas, R, statistics, and a quantitative bachelor's degree.
Builds and scales data infrastructure including cataloging, versioning, and lineage to support research and production workflows. Collaborates with engineers and researchers, provides technical guidance, and mentors teammates requiring 5+ years experience in software engineering and data technologies.
Builds scalable data ingestion pipelines, processing systems, and tooling to support AI/ML research and trading operations at a quantitative finance firm. Requires 5+ years experience in robust software engineering with modern languages and data infrastructure expertise.
Develops scalable data infrastructure, real-time processing systems, and observability tools for post-trade financial systems supporting AI/ML-driven trading. Requires 5+ years experience with Python, data engineering, and cross-functional leadership in high-stakes production environments.
Leads advanced analytics initiatives for Airbnb's global markets and policy team, building self-service tools, dashboards, and measurement systems to drive international growth strategies. Requires 7+ years in data science/analytics, expert SQL/Python, AI experience, and strong experimentation skills.
Develops and optimizes AI/ML models for financial market prediction and portfolio optimization in securities trading. Requires 5+ years directing research, PhD-level expertise in ML/statistics, and production coding skills.
Develops and deploys advanced ML models for financial market prediction and portfolio optimization in a market-making strategy. Requires PhD-level expertise in statistical ML, preferably deep RL, deep learning, optimal control, or causal inference, with strong math and Python skills.
Leads key research projects in statistical machine learning for financial market prediction and portfolio optimization, from basic research to production deployment. Requires 5+ years experience, PhD-level expertise, strong ML/math skills, and Python/R proficiency.
Build and operate ML systems that process raw signals into reliable decisions across device, cloud, and offline environments for high-stakes cyber-physical security. Requires 5-10 years experience with production ML/LLM deployment, strong Python plus Go/TS, and system design expertise.
Build and deploy AI systems for legal workflows, fine-tuning models on domain-specific data, advancing reasoning capabilities, and integrating with product features. Requires Bachelor's/Master's in ML/AI/CS and proven production ML experience.
Leads a data science team to define measurement, experimentation, and analytics strategies powering revenue, growth, and product experiences. Partners with Product, Marketing, Sales, and Finance; requires 10+ years experience including 3+ years leading data teams, with expertise in growth/monetization analytics and causal inference.
Build and own data pipelines, statistical models, and dashboards for B2B SaaS metrics across sales, finance, and product teams. Requires strong Python/SQL skills, data quality focus, and end-to-end ownership mindset.
Lead product analytics efforts across core product, hardware, and algorithms domains while managing a team of analysts. Drive experimentation, KPI development, and strategic insights that influence product and technical roadmaps.
Leads development and productionization of scalable ML systems, real-time inference services, feature stores, and MLOps pipelines to enhance betting metrics and platform integrity. Requires 7+ years ML/Backend experience, streaming architectures, and GCP expertise.
Builds and maintains scalable data pipelines, ETL/ELT processes, and workflows using Airflow, Spark, Trino, and AWS services to support analytics and product innovation. Requires 5+ years experience in data engineering with Python proficiency.
Staff Data Engineer architects and delivers scalable data products from healthcare datasets, designs high-performance processing systems using SQL, Spark, Python, and AI workflows, and leads cross-functional initiatives for reliable data serving to customers and applications.
Leads data science team to deliver insights driving product strategy, user analysis, ROI frameworks, and model evaluation in healthcare AI. Requires 12+ years experience, MS/PhD, and expertise in Python, R, SQL for large-scale analytics.
Builds custom production-grade ML solutions for customer problems by identifying platform gaps, implementing fixes, and owning outcomes from discovery to deployment. Requires 4+ years experience including customer-facing roles, strong ML frameworks knowledge, and data modeling expertise.
Builds autonomous AI agents and platform infrastructure for customer support, enhancing LLM performance with RAG techniques, scaling systems with Golang, and integrating STT/TTS. Requires 5+ years software engineering experience with LLMs.
Designs and owns canonical data foundations, ingestion pipelines, and AI-ready schemas for financial AI systems in wealth management. Requires 5+ years data platform experience, SQL/Python expertise, custodial data knowledge, and AWS proficiency.
Lead analytics for unsecured installment products, partnering with product teams to drive strategy via A/B tests, user behavior analysis, and scalable data solutions. Requires 10+ years in product analytics, expert SQL/Python/R, and BI tools experience.
Leads new ML research team focusing on post-training/RL, dataset optimization, LLM pretraining, sparsity, and domain-specific agents. Adapts algorithms for Cerebras hardware, builds teams, and collaborates on hardware/software design. Requires PhD and ML leadership experience.
Designs novel AI models and training methodologies from first principles on wafer-scale hardware, integrating computational science techniques. Requires PhD-level expertise in ML or related fields, strong publication record, and proficiency in PyTorch/Python.
Designs and implements AI/ML and scientific computing workloads on wafer-scale hardware to set performance benchmarks. Leads algorithm-hardware co-design, builds performance models, and contributes to technology roadmap with publications in top venues. PhD preferred in CS, Engineering, or related field.
Senior Data Scientist owns analytics and experimentation for Instacart's search features, partnering with Product, Engineering, and ML to improve relevance, ranking, and customer conversion. Requires 5+ years experience, advanced SQL/Python, and A/B testing expertise.
Analyzes large datasets using SQL and Python to uncover product growth opportunities, refines KPIs, creates dashboards, and advises engineering/product teams and clients on data-driven strategies. Requires strong quantitative background and BI tool proficiency.
Develops models and data products using causal inference to measure marketplace impacts like pricing tools and recommendations. Requires 5+ years experience (BS/MS) or 2+ (PhD), strong Python/SQL/R coding, ML, and experimentation skills.
Builds end-to-end revenue forecasting models and causal measurement frameworks for finance planning in a usage-based cloud business. Requires advanced quantitative degree, production ML/stats experience with forecasting/causal inference, and proficiency in Python/SQL on analytical platforms.
Builds, optimizes, and maintains scalable data pipelines using Python, SQL, and modern data stack in AWS to support BI, marketing, and data science. Requires 2+ years experience, expertise in data modeling and orchestration tools like Airflow and Snowflake.
Builds, optimizes, and maintains scalable data pipelines using Python, SQL, and AWS tools for healthcare data insights. Requires 4+ years experience, expertise in data modeling, orchestration with Airflow, and familiarity with HIPAA.
Conducts end-to-end ROI analyses for healthcare clients using customer data, builds pre-sales financial models, maintains benchmarking dashboards, and presents insights to C-suite. Requires 3-5 years in analytics with SQL expertise and healthcare finance knowledge.
Leads original research in action-conditioned world models, physical AI, and generative modeling for embodied systems. Requires PhD in ML/CS/Robotics with top publications and expertise in generative models and large-scale training.
Leads pre-training and post-training of action-conditioned world models and VLA models for physical AI applications. Requires PyTorch expertise, distributed training, and ML fundamentals; robotics background preferred.
Develops and productionizes AI/ML models and pipelines at scale for Airbnb's agentic growth platform, powering personalized content generation, decisioning, and proactive marketing agents. Requires 12+ years experience, strong programming, and expertise in ML best practices and tools like PyTorch and Kubernetes.
Leads data science strategy and team for Snowflake's Go-To-Market organization, partnering with Sales, Marketing, and RevOps to deliver AI/ML solutions like forecasting, lead scoring, and churn prediction. Requires 10+ years experience including 5+ in leadership, strong SQL/Python skills.
Leads automation and evaluation programs for AI Operations, architecting scalable workflows with LLMs, datasets, and quality systems. Requires 5+ years leading complex AI initiatives, cross-functional influence, and metrics-driven impact; familiarity with data pipelines preferred.
Owns evaluation frameworks, datasets, and automations to enhance AI system performance in operations. Requires 3+ years experience with AI tools, LLM workflows, scripting (SQL/Python), and driving ambiguous tasks to execution.
Leads research in computer vision, multimodal understanding, and visual generation. Develops novel models and methodologies, translates research to production, and mentors teams. Requires PhD preferred, 8+ years experience, and expertise in PyTorch, TensorFlow, transformers.
Builds scalable data pipelines and privacy-first architecture for People Analytics using HRIS data like Workday to support hiring, performance, compensation decisions, and AI workflows. Requires 6+ years experience, SQL/Python proficiency, and modern data tools expertise.
Leads machine learning team developing conversion models for Reddit Ads, focusing on predictive modeling for user actions like purchases and signups. Requires deep ML expertise, ads domain knowledge, and 2+ years managing high-performing ML teams.
Build and maintain scalable data pipelines, analyze large datasets, and develop models/tools to drive product decisions for a code review platform. Requires 4+ years data engineering experience, strong SQL, cloud data services, and visualization tools.
Data Scientist analyzes large datasets, builds scalable data pipelines using DBT, Segment, and Redshift, and drives product decisions through statistical modeling and visualization. Requires 4+ years experience, SQL proficiency, and cloud platform expertise.
Staff engineer leading Data Platform initiatives like scaling, stream processing, and GRC at massive scale. Requires 7+ years experience in distributed systems and data infrastructure, with strong architectural leadership and cross-functional influence.
Develops large-scale distributed systems and pipelines for multimodal AI pre-training, post-training, and inference across image, video, audio, and text. Requires expert Python proficiency, experience with JAX/PyTorch/XLA, and scaling multimodal ML systems.
Builds backend services and REST APIs serving data from Snowflake and other sources to internal teams, while supporting data pipelines with Airflow, Airbyte, and dbt. Requires strong Python, SQL, API design experience; preferred fintech background.
Builds advanced AI systems using LLM pipelines, vector search, agent frameworks, and multimodal tools to create intelligent interactive product demos. Requires 5+ years in software/AI engineering and a bachelor's degree.
Senior Performance Engineer benchmarks Cerebras inference performance against competitors for real workloads, measuring metrics like tokens/second and TCO, while modeling competitor pricing to inform sales strategies. Requires 5+ years in ML systems and deep expertise in open-source inference stacks and transformer optimizations.
Conducts claims analysis, repricing, and ad hoc data insights to support sales proposals and demonstrate value to clients and brokers. Requires 3-5 years experience, strong analytics, SQL/Excel/Looker/Tableau proficiency, and communication skills.
Conducts advanced statistical machine learning research focused on financial market prediction and portfolio optimization. Develops, validates, and deploys predictive models using diverse datasets in a collaborative research environment. Requires PhD-level expertise in ML and strong mathematical background.
Leads a team of data scientists on analytical systems for trading and research, providing technical direction, mentoring, and developing monitoring pipelines. Requires Master's degree, 3+ years managing data scientists, and expertise in data tooling and statistical methods.
Analyzes complex financial datasets to derive actionable insights for trading systems, monitors data health, and communicates findings to leadership. Requires 1+ years experience with SQL, Pandas, R, statistics, and a quantitative bachelor's degree.
Builds and scales data infrastructure including cataloging, versioning, and lineage to support research and production workflows. Collaborates with engineers and researchers, provides technical guidance, and mentors teammates requiring 5+ years experience in software engineering and data technologies.
Builds scalable data ingestion pipelines, processing systems, and tooling to support AI/ML research and trading operations at a quantitative finance firm. Requires 5+ years experience in robust software engineering with modern languages and data infrastructure expertise.
Develops scalable data infrastructure, real-time processing systems, and observability tools for post-trade financial systems supporting AI/ML-driven trading. Requires 5+ years experience with Python, data engineering, and cross-functional leadership in high-stakes production environments.
Leads advanced analytics initiatives for Airbnb's global markets and policy team, building self-service tools, dashboards, and measurement systems to drive international growth strategies. Requires 7+ years in data science/analytics, expert SQL/Python, AI experience, and strong experimentation skills.
Develops and optimizes AI/ML models for financial market prediction and portfolio optimization in securities trading. Requires 5+ years directing research, PhD-level expertise in ML/statistics, and production coding skills.
Develops and deploys advanced ML models for financial market prediction and portfolio optimization in a market-making strategy. Requires PhD-level expertise in statistical ML, preferably deep RL, deep learning, optimal control, or causal inference, with strong math and Python skills.
Leads key research projects in statistical machine learning for financial market prediction and portfolio optimization, from basic research to production deployment. Requires 5+ years experience, PhD-level expertise, strong ML/math skills, and Python/R proficiency.
Build and operate ML systems that process raw signals into reliable decisions across device, cloud, and offline environments for high-stakes cyber-physical security. Requires 5-10 years experience with production ML/LLM deployment, strong Python plus Go/TS, and system design expertise.
Build and deploy AI systems for legal workflows, fine-tuning models on domain-specific data, advancing reasoning capabilities, and integrating with product features. Requires Bachelor's/Master's in ML/AI/CS and proven production ML experience.
Leads a data science team to define measurement, experimentation, and analytics strategies powering revenue, growth, and product experiences. Partners with Product, Marketing, Sales, and Finance; requires 10+ years experience including 3+ years leading data teams, with expertise in growth/monetization analytics and causal inference.
Build and own data pipelines, statistical models, and dashboards for B2B SaaS metrics across sales, finance, and product teams. Requires strong Python/SQL skills, data quality focus, and end-to-end ownership mindset.
Lead product analytics efforts across core product, hardware, and algorithms domains while managing a team of analysts. Drive experimentation, KPI development, and strategic insights that influence product and technical roadmaps.
Leads development and productionization of scalable ML systems, real-time inference services, feature stores, and MLOps pipelines to enhance betting metrics and platform integrity. Requires 7+ years ML/Backend experience, streaming architectures, and GCP expertise.
Builds and maintains scalable data pipelines, ETL/ELT processes, and workflows using Airflow, Spark, Trino, and AWS services to support analytics and product innovation. Requires 5+ years experience in data engineering with Python proficiency.
Staff Data Engineer architects and delivers scalable data products from healthcare datasets, designs high-performance processing systems using SQL, Spark, Python, and AI workflows, and leads cross-functional initiatives for reliable data serving to customers and applications.
Leads data science team to deliver insights driving product strategy, user analysis, ROI frameworks, and model evaluation in healthcare AI. Requires 12+ years experience, MS/PhD, and expertise in Python, R, SQL for large-scale analytics.
Builds custom production-grade ML solutions for customer problems by identifying platform gaps, implementing fixes, and owning outcomes from discovery to deployment. Requires 4+ years experience including customer-facing roles, strong ML frameworks knowledge, and data modeling expertise.
Builds autonomous AI agents and platform infrastructure for customer support, enhancing LLM performance with RAG techniques, scaling systems with Golang, and integrating STT/TTS. Requires 5+ years software engineering experience with LLMs.
Designs and owns canonical data foundations, ingestion pipelines, and AI-ready schemas for financial AI systems in wealth management. Requires 5+ years data platform experience, SQL/Python expertise, custodial data knowledge, and AWS proficiency.
Lead analytics for unsecured installment products, partnering with product teams to drive strategy via A/B tests, user behavior analysis, and scalable data solutions. Requires 10+ years in product analytics, expert SQL/Python/R, and BI tools experience.
Leads new ML research team focusing on post-training/RL, dataset optimization, LLM pretraining, sparsity, and domain-specific agents. Adapts algorithms for Cerebras hardware, builds teams, and collaborates on hardware/software design. Requires PhD and ML leadership experience.
Designs novel AI models and training methodologies from first principles on wafer-scale hardware, integrating computational science techniques. Requires PhD-level expertise in ML or related fields, strong publication record, and proficiency in PyTorch/Python.
Designs and implements AI/ML and scientific computing workloads on wafer-scale hardware to set performance benchmarks. Leads algorithm-hardware co-design, builds performance models, and contributes to technology roadmap with publications in top venues. PhD preferred in CS, Engineering, or related field.
Senior Data Scientist owns analytics and experimentation for Instacart's search features, partnering with Product, Engineering, and ML to improve relevance, ranking, and customer conversion. Requires 5+ years experience, advanced SQL/Python, and A/B testing expertise.
Analyzes large datasets using SQL and Python to uncover product growth opportunities, refines KPIs, creates dashboards, and advises engineering/product teams and clients on data-driven strategies. Requires strong quantitative background and BI tool proficiency.
Develops models and data products using causal inference to measure marketplace impacts like pricing tools and recommendations. Requires 5+ years experience (BS/MS) or 2+ (PhD), strong Python/SQL/R coding, ML, and experimentation skills.
Builds end-to-end revenue forecasting models and causal measurement frameworks for finance planning in a usage-based cloud business. Requires advanced quantitative degree, production ML/stats experience with forecasting/causal inference, and proficiency in Python/SQL on analytical platforms.
Builds, optimizes, and maintains scalable data pipelines using Python, SQL, and modern data stack in AWS to support BI, marketing, and data science. Requires 2+ years experience, expertise in data modeling and orchestration tools like Airflow and Snowflake.
Builds, optimizes, and maintains scalable data pipelines using Python, SQL, and AWS tools for healthcare data insights. Requires 4+ years experience, expertise in data modeling, orchestration with Airflow, and familiarity with HIPAA.
Conducts end-to-end ROI analyses for healthcare clients using customer data, builds pre-sales financial models, maintains benchmarking dashboards, and presents insights to C-suite. Requires 3-5 years in analytics with SQL expertise and healthcare finance knowledge.
Leads original research in action-conditioned world models, physical AI, and generative modeling for embodied systems. Requires PhD in ML/CS/Robotics with top publications and expertise in generative models and large-scale training.
Leads pre-training and post-training of action-conditioned world models and VLA models for physical AI applications. Requires PyTorch expertise, distributed training, and ML fundamentals; robotics background preferred.
Develops and productionizes AI/ML models and pipelines at scale for Airbnb's agentic growth platform, powering personalized content generation, decisioning, and proactive marketing agents. Requires 12+ years experience, strong programming, and expertise in ML best practices and tools like PyTorch and Kubernetes.
Leads data science strategy and team for Snowflake's Go-To-Market organization, partnering with Sales, Marketing, and RevOps to deliver AI/ML solutions like forecasting, lead scoring, and churn prediction. Requires 10+ years experience including 5+ in leadership, strong SQL/Python skills.
Leads automation and evaluation programs for AI Operations, architecting scalable workflows with LLMs, datasets, and quality systems. Requires 5+ years leading complex AI initiatives, cross-functional influence, and metrics-driven impact; familiarity with data pipelines preferred.
Owns evaluation frameworks, datasets, and automations to enhance AI system performance in operations. Requires 3+ years experience with AI tools, LLM workflows, scripting (SQL/Python), and driving ambiguous tasks to execution.
Leads research in computer vision, multimodal understanding, and visual generation. Develops novel models and methodologies, translates research to production, and mentors teams. Requires PhD preferred, 8+ years experience, and expertise in PyTorch, TensorFlow, transformers.
Builds scalable data pipelines and privacy-first architecture for People Analytics using HRIS data like Workday to support hiring, performance, compensation decisions, and AI workflows. Requires 6+ years experience, SQL/Python proficiency, and modern data tools expertise.
Leads machine learning team developing conversion models for Reddit Ads, focusing on predictive modeling for user actions like purchases and signups. Requires deep ML expertise, ads domain knowledge, and 2+ years managing high-performing ML teams.