Designs and deploys end-to-end ML pipelines and MLOps practices for AI-driven counter-drone systems in defense applications. Requires 5+ years ML engineering experience, Python/C++ proficiency, cloud/containerization, and computer vision expertise.
Builds and optimizes big data pipelines processing billions of signals for technographic data services, designs scalable architectures, and collaborates with data scientists on ML integration. Requires 8+ years experience with Hadoop, Spark, Java/Scala, and large-scale distributed systems.
Manage a team of data scientists building fraud detection models and financial risk products, providing technical leadership, mentoring, and end-to-end ownership from development to production. Requires 10+ years experience, strong ML skills, production coding, and startup background.
Build AI-powered internal tools and agentic workflows for GTM teams, integrating LLMs with Salesforce, BigQuery, and Slack. Requires 5+ years backend experience, Python proficiency, and hands-on LLM orchestration like LangChain.
Owns data warehouse transformation layer using dbt and Airflow, builds dimensional models for company-wide analytics, and partners with stakeholders to deliver trusted metrics on billing, usage, and operations.
Builds and scales distributed data infrastructure powering analytics, AI/ML, and BI at Figma. Requires 5+ years backend experience with batch/streaming tech like Spark, Kafka, and expertise in Snowflake, Golang/Python.
Builds and enhances data platforms for billing, revenue workflows, and OTC operations in a SaaS AI infrastructure company. Requires 5+ years in billing engineering, strong SQL/BigQuery skills, and experience with ERP, payments, and cloud marketplaces.
Builds and maintains dashboards for business metrics, delivers ad hoc analyses for GTM and Ops teams, and designs self-serve datasets using SQL and BI tools. Requires 2-4 years experience, strong SQL, and BI proficiency.
Builds and maintains sandboxed, reproducible RL environments for AI agent training, including terminal, browser, and tool-augmented setups. Requires 2+ years Python/systems engineering, containerization, and RL concepts understanding.
Architects scalable data systems and platforms using distributed technologies like Spark, Kafka, and AWS. Mentors engineers and drives innovation on large-scale data projects, requiring 8+ years experience and expertise in data infrastructure.
Builds and owns C++-based perception data infrastructure for autonomous vehicles, handling massive 3D sensor data (Lidar, Camera, Radar), validation, and ML pipelines. Requires 4+ years experience, C++ fluency, Python, and systems engineering in ambiguous robotics environments.
Builds and maintains scalable data pipelines, infrastructure, and tooling for batch/streaming processing, ML workflows, and analytics. Requires 3-7+ years in data infrastructure with expertise in Spark, Kafka, dbt, Airflow, and cloud platforms.
Leads end-to-end delivery of multi-agent AI systems for enterprise clients, analyzing workflows, building Python-based integrations with systems like SAP and Salesforce, and ensuring production deployment. Requires 1-3 years experience in data science or solutions engineering, Python proficiency, and strong communication skills.
Build and maintain ML infrastructure pipelines to deploy research models to production at scale, including CI/CD, A/B testing, monitoring, and optimization for low-latency voice AI serving. Requires 4+ years MLOps experience with Python, Docker, Kubernetes.
Develops state-of-the-art VQA systems for medical records using advanced NLP and CV techniques to achieve expert-level accuracy in document analysis. Requires deep expertise in NLP/CV, strong software engineering, and ability to work with noisy data in healthcare domain.
Staff Data Scientist advances ML models for healthcare claims auditing, curating data, developing precise models, and optimizing business impact for health plans. Requires expertise in SQL, Python/R, and building ML models from scratch.
Leads design and development of large-scale AI systems for document processing and agentic workflows in healthcare payment integrity. Requires 6+ years experience with Java/Python, productionizing LLMs/RAG, and distributed systems.
Develops state-of-the-art Visual Question Answering systems for medical records using advanced NLP and Computer Vision techniques. Requires expertise in these fields, strong software engineering skills, and ability to work with noisy data to achieve production-scale model performance.
Develop and advance ML models to select healthcare claims for auditing, improving precision and recovering millions in overpayments for large health plans. Requires experience with SQL, Python/R, and building modern ML models from scratch.
Leads development and deployment of ML and GenAI systems to detect billing errors, audits, and fraud in healthcare payments. Requires 5+ years data science experience, team management, and a degree in CS or related field.
Develops and deploys end-to-end pricing models for commercial auto insurance, building feature pipelines from messy data and monitoring performance. Requires 3+ years experience with statistical modeling (GLMs, GBDTs), Python/SQL, and actuarial concepts.
Lead the design and build of data warehouse architecture, ETL/ELT pipelines, and business data models for a high-growth SaaS company. Partner with cross-functional teams to enable self-serve analytics using modern data stack tools like Snowflake, dbt, and Airflow.
Junior analyst partnering with stakeholders to solve business problems using SQL, Python/R for data analysis, delivering executive recommendations, and building BI dashboards. Requires recent STEM grad with internship experience in quantitative analysis.
As a Senior AI Enablement Engineer, you will design and build foundational AI infrastructure, tooling, and workflows to enhance efficiency across the organization. This role involves building scalable AI systems, partnering with various teams, and driving the adoption of AI-powered workflows.
Lead analytical efforts for servicing initiatives, partnering with product, operations, and engineering teams to drive insights, optimize recoveries/collections strategies, design A/B tests, and build BI pipelines. Requires 8+ years in analytics, proficiency in SQL/Python, and experience with large datasets.
New grad software engineer building data infrastructure for high-volume hardware testing systems like rockets and aircraft. Requires strong fundamentals from internships/projects; full-time for Spring 2026 graduates.
Leads design of shared data models, standardizes analytics pipelines, and modernizes orchestration for Dropbox's analytics platform. Requires 12+ years in data engineering, expertise in SQL/Python/Airflow/dbt, and cross-team leadership.
Builds and maintains scalable data models and pipelines using Snowflake, dbt, and Databricks to support analytics for patient intake funnel. Leads BI solutions, self-service tools, and best practices with 5+ years experience, advanced SQL, and cross-functional collaboration.
Builds end-to-end ML systems for autonomous insurance underwriting, finetuning LLMs, closing feedback loops with underwriter data, and deploying production models. Requires 4+ years ML experience, Python proficiency, and production LLM expertise.
Builds ML infrastructure, models, and platforms to enable AI-powered features for developers handling massive datasets. Requires 5+ years backend experience, production ML deployment, and expertise in LLMs, RAG, distributed systems, and cloud platforms.
Builds and scales data pipelines for video generation models, including ingestion, annotation via MTurk/Prolific, preprocessing, and curation using Python, AWS, Kubernetes. Requires 3+ years in ML/data engineering, PyTorch experience, and cross-functional collaboration.
Build scalable data platform backend systems using Golang/Python to support AI-driven healthcare solutions. Requires 6+ years backend experience, expertise in Kubernetes, cloud platforms, ETL, and data orchestration tools.
Leads AI enablement across Checkr by gathering requirements, building custom LLM/RAG solutions, leading hackathons and training, and creating scalable workflows. Requires 5+ years engineering experience, 4+ years AI development, Python proficiency, and strong communication skills.
Senior individual contributor leading data architecture for Snowflake's internal data platform. Defines standards in dbt modeling, RBAC, and AI tooling; partners with product teams and represents capabilities externally. Requires 8+ years experience with deep Snowflake and dbt expertise.
Builds and improves core AI agent systems for retrieval, tool use, document understanding, and orchestration in production. Designs evals, analyzes traces, and iterates based on real enterprise workflows using Python and LLM expertise.
Develops custom quantization algorithms and prototypes for optimizing ML models on Quadric's GPNPU hardware. Requires MS/PhD, 5+ years in model optimization, deep quantization expertise, and Python/PyTorch proficiency.
Builds production-ready agentic AI systems including runtimes, orchestration, reliability, observability, and integrations with LLMs/APIs. Requires strong backend experience, shipped agent/LLM systems, and production reliability expertise.
Build and iterate on AI agents for customer interactions, outperforming humans in complex scenarios. Requires 5+ years experience with Python/TypeScript, systems debugging, and model evaluation/integration.
Drives strategic initiatives in product pricing and monetization through analytics, operations, and cross-functional partnerships. Requires 2-5 years experience in strategy/ops, SQL proficiency, and strong communication skills.
Builds and owns canonical data models in Snowflake and dbt transformation layer to serve as company-wide source of truth for AI tools and teams across Finance, Marketing, Sales, Product, and Data Science. Requires 6+ years data engineering with strong SQL and Snowflake expertise.
Senior Data Scientist drives risk reduction strategies using data science for Lyft's safety and financial resilience. Partners cross-functionally to build models, design experiments, and optimize claims outcomes. Requires 5+ years experience, SQL/Python proficiency, and quantitative degree.
Drives data science initiatives on the Risk Solutions team to reduce claims costs and improve safety through predictive models, experiments, and cross-functional collaboration. Requires 5+ years experience, SQL/Python proficiency, and quantitative degree.
Embeds with marketing teams to identify high-leverage workflows, build custom AI tools/agents/automations, coach marketers on AI integration, and scale transformations for self-sufficiency. Requires 5+ years experience building transformative AI solutions and strong coaching skills.
Builds and scales Generative AI platform infrastructure using advanced ML techniques. Requires deep expertise in large-scale model training, deployment, and optimization on cloud platforms.
Senior Data Scientist develops ML models and features using device, network, and behavioral data for fraud prevention and identity verification. Requires 6+ years experience, Master's in quantitative field, Python/SQL proficiency, and production ML deployment expertise.
Designs threat models and experiments for agentic AI security risks, builds prototypes with fine-tuned models and analysis tools, and turns research into scalable product defenses. Requires MS/PhD in CS/ML, production coding skills, and security mindset.
Build and deploy scalable AI agents for customer support that handle complex interactions across industries like finance and healthcare. Requires 5+ years experience with Python and TypeScript, focusing on system reliability and model integration.
Develops and deploys vision-language-action models and world models for autonomous robot finishing tasks in construction. Owns full lifecycle from data collection via teleoperation to edge deployment on Jetson hardware, requiring strong ML on robotics experience.
Build and scale production data pipelines using Python, Spark, and Airflow to transform raw healthcare data into trusted datasets powering ML models, dashboards, and customer onboarding. Requires 6+ years experience with strong expertise in data engineering tools and cross-team collaboration.
Leads design and implementation of scalable security data pipelines and API-first services to deliver real-time security telemetry for enterprise customers. Requires 8+ years in data engineering, distributed systems, and languages like Java, C++, or Rust.
Designs and deploys end-to-end ML pipelines and MLOps practices for AI-driven counter-drone systems in defense applications. Requires 5+ years ML engineering experience, Python/C++ proficiency, cloud/containerization, and computer vision expertise.
Builds and optimizes big data pipelines processing billions of signals for technographic data services, designs scalable architectures, and collaborates with data scientists on ML integration. Requires 8+ years experience with Hadoop, Spark, Java/Scala, and large-scale distributed systems.
Manage a team of data scientists building fraud detection models and financial risk products, providing technical leadership, mentoring, and end-to-end ownership from development to production. Requires 10+ years experience, strong ML skills, production coding, and startup background.
Build AI-powered internal tools and agentic workflows for GTM teams, integrating LLMs with Salesforce, BigQuery, and Slack. Requires 5+ years backend experience, Python proficiency, and hands-on LLM orchestration like LangChain.
Owns data warehouse transformation layer using dbt and Airflow, builds dimensional models for company-wide analytics, and partners with stakeholders to deliver trusted metrics on billing, usage, and operations.
Builds and scales distributed data infrastructure powering analytics, AI/ML, and BI at Figma. Requires 5+ years backend experience with batch/streaming tech like Spark, Kafka, and expertise in Snowflake, Golang/Python.
Builds and enhances data platforms for billing, revenue workflows, and OTC operations in a SaaS AI infrastructure company. Requires 5+ years in billing engineering, strong SQL/BigQuery skills, and experience with ERP, payments, and cloud marketplaces.
Builds and maintains dashboards for business metrics, delivers ad hoc analyses for GTM and Ops teams, and designs self-serve datasets using SQL and BI tools. Requires 2-4 years experience, strong SQL, and BI proficiency.
Builds and maintains sandboxed, reproducible RL environments for AI agent training, including terminal, browser, and tool-augmented setups. Requires 2+ years Python/systems engineering, containerization, and RL concepts understanding.
Architects scalable data systems and platforms using distributed technologies like Spark, Kafka, and AWS. Mentors engineers and drives innovation on large-scale data projects, requiring 8+ years experience and expertise in data infrastructure.
Builds and owns C++-based perception data infrastructure for autonomous vehicles, handling massive 3D sensor data (Lidar, Camera, Radar), validation, and ML pipelines. Requires 4+ years experience, C++ fluency, Python, and systems engineering in ambiguous robotics environments.
Builds and maintains scalable data pipelines, infrastructure, and tooling for batch/streaming processing, ML workflows, and analytics. Requires 3-7+ years in data infrastructure with expertise in Spark, Kafka, dbt, Airflow, and cloud platforms.
Leads end-to-end delivery of multi-agent AI systems for enterprise clients, analyzing workflows, building Python-based integrations with systems like SAP and Salesforce, and ensuring production deployment. Requires 1-3 years experience in data science or solutions engineering, Python proficiency, and strong communication skills.
Build and maintain ML infrastructure pipelines to deploy research models to production at scale, including CI/CD, A/B testing, monitoring, and optimization for low-latency voice AI serving. Requires 4+ years MLOps experience with Python, Docker, Kubernetes.
Develops state-of-the-art VQA systems for medical records using advanced NLP and CV techniques to achieve expert-level accuracy in document analysis. Requires deep expertise in NLP/CV, strong software engineering, and ability to work with noisy data in healthcare domain.
Staff Data Scientist advances ML models for healthcare claims auditing, curating data, developing precise models, and optimizing business impact for health plans. Requires expertise in SQL, Python/R, and building ML models from scratch.
Leads design and development of large-scale AI systems for document processing and agentic workflows in healthcare payment integrity. Requires 6+ years experience with Java/Python, productionizing LLMs/RAG, and distributed systems.
Develops state-of-the-art Visual Question Answering systems for medical records using advanced NLP and Computer Vision techniques. Requires expertise in these fields, strong software engineering skills, and ability to work with noisy data to achieve production-scale model performance.
Develop and advance ML models to select healthcare claims for auditing, improving precision and recovering millions in overpayments for large health plans. Requires experience with SQL, Python/R, and building modern ML models from scratch.
Leads development and deployment of ML and GenAI systems to detect billing errors, audits, and fraud in healthcare payments. Requires 5+ years data science experience, team management, and a degree in CS or related field.
Develops and deploys end-to-end pricing models for commercial auto insurance, building feature pipelines from messy data and monitoring performance. Requires 3+ years experience with statistical modeling (GLMs, GBDTs), Python/SQL, and actuarial concepts.
Lead the design and build of data warehouse architecture, ETL/ELT pipelines, and business data models for a high-growth SaaS company. Partner with cross-functional teams to enable self-serve analytics using modern data stack tools like Snowflake, dbt, and Airflow.
Junior analyst partnering with stakeholders to solve business problems using SQL, Python/R for data analysis, delivering executive recommendations, and building BI dashboards. Requires recent STEM grad with internship experience in quantitative analysis.
As a Senior AI Enablement Engineer, you will design and build foundational AI infrastructure, tooling, and workflows to enhance efficiency across the organization. This role involves building scalable AI systems, partnering with various teams, and driving the adoption of AI-powered workflows.
Lead analytical efforts for servicing initiatives, partnering with product, operations, and engineering teams to drive insights, optimize recoveries/collections strategies, design A/B tests, and build BI pipelines. Requires 8+ years in analytics, proficiency in SQL/Python, and experience with large datasets.
New grad software engineer building data infrastructure for high-volume hardware testing systems like rockets and aircraft. Requires strong fundamentals from internships/projects; full-time for Spring 2026 graduates.
Leads design of shared data models, standardizes analytics pipelines, and modernizes orchestration for Dropbox's analytics platform. Requires 12+ years in data engineering, expertise in SQL/Python/Airflow/dbt, and cross-team leadership.
Builds and maintains scalable data models and pipelines using Snowflake, dbt, and Databricks to support analytics for patient intake funnel. Leads BI solutions, self-service tools, and best practices with 5+ years experience, advanced SQL, and cross-functional collaboration.
Builds end-to-end ML systems for autonomous insurance underwriting, finetuning LLMs, closing feedback loops with underwriter data, and deploying production models. Requires 4+ years ML experience, Python proficiency, and production LLM expertise.
Builds ML infrastructure, models, and platforms to enable AI-powered features for developers handling massive datasets. Requires 5+ years backend experience, production ML deployment, and expertise in LLMs, RAG, distributed systems, and cloud platforms.
Builds and scales data pipelines for video generation models, including ingestion, annotation via MTurk/Prolific, preprocessing, and curation using Python, AWS, Kubernetes. Requires 3+ years in ML/data engineering, PyTorch experience, and cross-functional collaboration.
Build scalable data platform backend systems using Golang/Python to support AI-driven healthcare solutions. Requires 6+ years backend experience, expertise in Kubernetes, cloud platforms, ETL, and data orchestration tools.
Leads AI enablement across Checkr by gathering requirements, building custom LLM/RAG solutions, leading hackathons and training, and creating scalable workflows. Requires 5+ years engineering experience, 4+ years AI development, Python proficiency, and strong communication skills.
Senior individual contributor leading data architecture for Snowflake's internal data platform. Defines standards in dbt modeling, RBAC, and AI tooling; partners with product teams and represents capabilities externally. Requires 8+ years experience with deep Snowflake and dbt expertise.
Builds and improves core AI agent systems for retrieval, tool use, document understanding, and orchestration in production. Designs evals, analyzes traces, and iterates based on real enterprise workflows using Python and LLM expertise.
Develops custom quantization algorithms and prototypes for optimizing ML models on Quadric's GPNPU hardware. Requires MS/PhD, 5+ years in model optimization, deep quantization expertise, and Python/PyTorch proficiency.
Builds production-ready agentic AI systems including runtimes, orchestration, reliability, observability, and integrations with LLMs/APIs. Requires strong backend experience, shipped agent/LLM systems, and production reliability expertise.
Build and iterate on AI agents for customer interactions, outperforming humans in complex scenarios. Requires 5+ years experience with Python/TypeScript, systems debugging, and model evaluation/integration.
Drives strategic initiatives in product pricing and monetization through analytics, operations, and cross-functional partnerships. Requires 2-5 years experience in strategy/ops, SQL proficiency, and strong communication skills.
Builds and owns canonical data models in Snowflake and dbt transformation layer to serve as company-wide source of truth for AI tools and teams across Finance, Marketing, Sales, Product, and Data Science. Requires 6+ years data engineering with strong SQL and Snowflake expertise.
Senior Data Scientist drives risk reduction strategies using data science for Lyft's safety and financial resilience. Partners cross-functionally to build models, design experiments, and optimize claims outcomes. Requires 5+ years experience, SQL/Python proficiency, and quantitative degree.
Drives data science initiatives on the Risk Solutions team to reduce claims costs and improve safety through predictive models, experiments, and cross-functional collaboration. Requires 5+ years experience, SQL/Python proficiency, and quantitative degree.
Embeds with marketing teams to identify high-leverage workflows, build custom AI tools/agents/automations, coach marketers on AI integration, and scale transformations for self-sufficiency. Requires 5+ years experience building transformative AI solutions and strong coaching skills.
Builds and scales Generative AI platform infrastructure using advanced ML techniques. Requires deep expertise in large-scale model training, deployment, and optimization on cloud platforms.
Senior Data Scientist develops ML models and features using device, network, and behavioral data for fraud prevention and identity verification. Requires 6+ years experience, Master's in quantitative field, Python/SQL proficiency, and production ML deployment expertise.
Designs threat models and experiments for agentic AI security risks, builds prototypes with fine-tuned models and analysis tools, and turns research into scalable product defenses. Requires MS/PhD in CS/ML, production coding skills, and security mindset.
Build and deploy scalable AI agents for customer support that handle complex interactions across industries like finance and healthcare. Requires 5+ years experience with Python and TypeScript, focusing on system reliability and model integration.
Develops and deploys vision-language-action models and world models for autonomous robot finishing tasks in construction. Owns full lifecycle from data collection via teleoperation to edge deployment on Jetson hardware, requiring strong ML on robotics experience.
Build and scale production data pipelines using Python, Spark, and Airflow to transform raw healthcare data into trusted datasets powering ML models, dashboards, and customer onboarding. Requires 6+ years experience with strong expertise in data engineering tools and cross-team collaboration.
Leads design and implementation of scalable security data pipelines and API-first services to deliver real-time security telemetry for enterprise customers. Requires 8+ years in data engineering, distributed systems, and languages like Java, C++, or Rust.