Leads technical strategy and architecture for content quality ML signals at Pinterest, driving GenAI safety, signal development, and cross-team adoption in ranking and decision systems. Requires expertise in scalable ML, content modeling, and cross-functional leadership.
Optimizes ML models for performance on embedded compute platforms in ADAS/AD stacks, focusing on inference efficiency, pruning, quantization, and profiling across GPU/CPU/SoC architectures. Requires 3+ years experience with deep learning frameworks and embedded systems.
Architects high-scale distributed systems and agentic AI for cybersecurity platform, processing massive data with Kafka, Spark/Flink, and Kubernetes. Requires 5-8 years backend experience in Java/Python/Go and expertise in agentic frameworks, RAG, and cloud infrastructure.
Develops and optimizes neural rendering systems using C++ and CUDA for real-time simulation, focusing on 3D Gaussian representations, GPU pipelines, and multi-threaded scene management. Requires 4+ years in neural graphics or related fields and a Bachelor's degree.
Designs and configures real-time charging, rating, and pricing models in SAP Convergent Charging for ride-share operations, including surge pricing, subscriptions, and integrations with billing systems. Requires 8+ years SAP BRIM experience with usage-based charging expertise.
Build analytical foundations for Member Experience and Contact Center operations by unifying data, developing predictive models like demand forecasting, and creating metrics for data-driven decisions in a fast-paced health tech environment. Requires 5+ years in data science, Python/SQL proficiency, and strong communication skills.
Builds and deploys AI agents to automate internal workflows at Brex by embedding with teams, integrating with systems and APIs, and measuring impact. Requires 4+ years experience shipping AI/automation with LLMs, agent frameworks, and databases.
Builds and deploys AI agents to automate internal workflows at Brex by embedding with teams, integrating systems, and measuring impact. Requires 4+ years experience with LLMs, agent frameworks, databases, and production AI systems.
Builds and deploys AI agents to automate internal workflows at Brex by embedding with teams, integrating systems and APIs, and measuring impact. Requires 4+ years experience shipping AI/automation with LLMs, agent frameworks, and databases.
Analyzes operational, product, and financial data to identify trends, build dashboards, and support cross-functional teams in optimizing fintech processes like fraud, risk, and rewards. Requires 3-7 years experience with SQL, Python, AI tools, and dashboarding.
New grad AI Engineer building AI-powered features using LLMs and embeddings, prototyping end-to-end from UX to model integration, and improving evaluation frameworks. Requires CS bachelor's/master's pursuit, internship experience, and proficiency in Python/TypeScript/React.
Designs and ships production AI systems including agentic workflows, RAG pipelines, and LLM integrations for an AI-native ERP platform serving finance teams. Requires 3+ years backend experience and 2+ years production AI with Python proficiency.
Builds and maintains ML infrastructure for training pipelines handling massive 3D data and real-time inference serving integrated with CAD software. Requires 3+ years experience with Python, PyTorch, ML orchestration tools, data versioning, and inference optimization.
Models inference performance across application, model, and fleet layers using microbenchmarks to build cost-to-serve estimates. Analyzes workloads end-to-end, enhances bottleneck detection tools, and collaborates on optimizations for latency, throughput, and cost.
Designs and owns architecture for production-grade AI analyst systems, including prompts, tools, context, evaluation, and safety. Partners with teams to build reliable AI capabilities for analytical workflows, emphasizing scalability and quality.
Build and maintain production data pipelines for AI model training, ensuring high-quality data through cleaning, transformation, and evaluation. Requires 1+ years experience with Python, ML, and neural networks; bachelor's in STEM.
Designs, builds, and maintains scalable data models using dbt and SQL for business reporting and metrics. Collaborates with stakeholders, ensures data quality, and optimizes ETL processes. Requires 4+ years experience with expert SQL/dbt/Python skills.
Leads AI Model LifeCycle team, building and managing fine-tuning, training pipelines for LLMs using techniques like PEFT, LoRA, RFT, and reinforcement learning. Requires 10+ years AI experience, advanced degree, hands-on LLM expertise, and team leadership skills.
Forecasts demand and plans capacity for global community support operations using advanced statistical models and analytics. Partners with stakeholders to optimize resources, service levels, and costs in a multi-channel contact center environment. Requires 10+ years in forecasting/workforce analytics and strong Python/SQL skills.
Owns post-launch performance, optimization, and administration of AI tools powering customer experience. Builds dashboards, manages incidents, documentation, and feedback loops for AI programs like Zendesk AI agents and VoiceAI, requiring data analysis and Zendesk expertise.
Builds QA systems, tooling, and workflows to audit and validate large-scale RL training data from suppliers. Partners with vendors to improve data quality using Python, Docker, and AI/ML techniques for frontier AI infrastructure.
Leads AI platform strategy and infrastructure for deploying AI features across Betterment's products, partnering with product, compliance, and engineering teams. Requires deep LLM expertise, fullstack experience with React/GraphQL/server languages, and production AI operations in a regulated environment.
Leads technical roadmap for ads content understanding, providing mentorship and hands-on ML work to build signals for content taxonomy, opinion mining, and product detection powering Reddit's ads. Requires 7+ years MLE experience with NLP/LLMs at scale and staff-level leadership.
Designs, builds, and maintains scalable data models, pipelines, and dashboards using dbt and Looker to power analytics and business decisions. Requires 4+ years in analytics/BI, SQL expertise, and data visualization proficiency.
Staff AI Engineer shapes technical direction of AI agents for audit workflows, owning architecture, LLM infrastructure, and reliability systems. Requires 8+ years experience with deep expertise in TypeScript/Python, RAG, and enterprise-scale LLM products.
Builds and scales ML compute platform on Kubernetes with Argo Workflows and Ray for distributed training, orchestration, and resource governance. Optimizes performance, debugs issues, and integrates tooling for ML teams at scale. Requires deep Kubernetes, systems, and programming expertise.
Conduct empirical research on AI's economic impacts, labor markets, and societal effects using external data and Python. Produce public outputs under mentorship, focusing on AI safety and policy recommendations; 4-month full-time program open to varying experience levels.
Builds and scales ETL pipelines, designs data schemas, and owns data quality/governance for 10x growth. Requires 5+ years in data pipelines with SQL, Spark, Airflow, Python, and MPP databases like Snowflake/Redshift.
Build and own high-performance inference runtime for Voice AI models including STT, TTS, and voice agents. Design real-time systems with low tail latency, collaborate cross-team, and optimize model serving for production workloads. Requires CS degree and real-time systems experience.
Leads development of ML and graph-based systems for international eKYC and identity graph, focusing on entity resolution, anomaly detection, and regulatory compliance across global markets. Requires 6+ years ML experience, expertise in Python, SQL, Spark, and graph technologies like Neo4j and AWS Neptune.
Leads design and deployment of ML, statistical, and graph algorithms for entity resolution, identity graphs, and KYC on large-scale PII datasets. Builds scalable pipelines in Spark/PySpark on AWS/Databricks, runs experiments, and mentors juniors. Requires Master's +3 years or PhD experience.
Develop graph-based algorithms, entity-resolution systems, and data pipelines on massive PII datasets to power KYC and compliance products. Requires Master's/PhD with 2+ years experience, Python/SQL proficiency, Spark, and ML libraries.
Analyzes large datasets to derive actionable insights, monitors performance trends, runs A/B tests, and builds data infrastructure to guide product decisions and drive growth at a consumer social events startup. Requires 3-5 years experience, SQL/Python fluency, and startup background.
Designs and optimizes embedded computer vision pipelines for real-time detection, tracking, and 3D localization of fast-moving drone threats in autonomous counter-UAS systems. Requires expertise in C++/Python, OpenCV, deep learning frameworks, sensor fusion, and edge deployment on NVIDIA Jetson.
Leads development and deployment of computer vision and ML models for real-time drone detection, tracking, and classification on edge hardware. Requires 6+ years experience with production CV/ML systems under latency constraints, proficiency in Python/C++/Rust, and PyTorch/JAX.
Build simulation environments and AI agents to model CTV advertising auctions, bidding strategies, and counterfactual scenarios. Requires systems programming in Zig/C++/Rust, adtech knowledge, and AI tool expertise to de-risk ML deployments and mentor engineers.
Leads research team advancing LLM scaling, post-training, RL, and inference efficiency. Drives innovations in optimization, distributed systems, and production integration using Python/PyTorch, with deep expertise in large-scale ML.
Staff Research Engineer leads development of conversational AI models for enterprise support agents, owning multi-quarter initiatives from research to production deployment. Requires 8+ years in AI/ML with experience deploying LLMs, Python fluency, and cross-functional leadership.
Senior Research Engineer leads development of conversational AI models for enterprise support agents, owning research-to-production initiatives to enhance reliability, capability, and efficiency. Requires 5+ years AI/ML experience with LLM deployment expertise.
Leads design and implementation of advanced user modeling systems using ML and LLMs to create unified user representations for personalization across Reddit's Feeds, Search, Notifications, and Ads. Requires 10+ years in production ML, especially user understanding and recommender systems.
Builds and optimizes RL training infrastructure, removes bottlenecks in the RL stack, and partners with researchers to accelerate model development at scale. Requires strong software engineering, ML infra experience, and comfort across the stack.
Research-minded Data Scientist building experimentation platforms, ML analytical systems, and causal inference models for data-driven decisions at Figma. Requires PhD in quantitative field, SQL/Python fluency, and strong stats/ML foundation.
Leads development and scaling of ML indexing and retrieval infrastructure for Reddit's recommendation systems, integrating lexical/vector search and GenAI. Requires 10+ years in software engineering with 3+ in technical leadership, expertise in distributed systems, stream processing, and cloud-native architectures.
Analyzes revenue operations data using SQL, BI tools, and Salesforce to support sales forecasting and business decisions. Requires 5+ years in tech Sales/RevOps, Snowflake experience, and AI workflow integration.
Leads foundational research on agentic AI systems for scientific reasoning, including literature synthesis, hypothesis formation, coding, experiments, and data analysis. Requires PhD in ML/NLP/reasoning with expertise in language models or reinforcement learning.
Designs and implements infrastructure for training next-generation LLM architectures focused on Mixture-of-Experts and long-context models. Requires 4+ years building ML pipelines with PyTorch/JAX/TF, deep learning expertise, and strong software engineering skills.
Postdoctoral researcher leading high-impact AI projects on Mixture-of-Experts and long-context language models, training/releasing models, building open-source tools, publishing papers, and mentoring juniors. Requires recent PhD in CS/ML with strong publication record and PyTorch expertise.
Combines clinical expertise (MD/PA/DO) with AI to develop and refine tools for clinical documentation, decision support, and risk adjustment. Defines quality standards, optimizes prompts, evaluates outputs, and collaborates with engineering teams to enhance clinician efficiency.
Develop and evaluate ML models and pipelines for AI products in healthcare, collaborating with MLOps teams on subprojects. Requires pursuing MS/PhD in CS/EE/BME with ML/CV focus, strong Python, and PyTorch/TensorFlow experience.
Designs, develops, and deploys ML models for research and product development in pathology AI, collaborating with scientists and engineers on biological/clinical applications. Requires Master's/PhD, Python/ML expertise, production deployment experience; leads projects at senior levels.
Leads technical strategy and architecture for content quality ML signals at Pinterest, driving GenAI safety, signal development, and cross-team adoption in ranking and decision systems. Requires expertise in scalable ML, content modeling, and cross-functional leadership.
Optimizes ML models for performance on embedded compute platforms in ADAS/AD stacks, focusing on inference efficiency, pruning, quantization, and profiling across GPU/CPU/SoC architectures. Requires 3+ years experience with deep learning frameworks and embedded systems.
Architects high-scale distributed systems and agentic AI for cybersecurity platform, processing massive data with Kafka, Spark/Flink, and Kubernetes. Requires 5-8 years backend experience in Java/Python/Go and expertise in agentic frameworks, RAG, and cloud infrastructure.
Develops and optimizes neural rendering systems using C++ and CUDA for real-time simulation, focusing on 3D Gaussian representations, GPU pipelines, and multi-threaded scene management. Requires 4+ years in neural graphics or related fields and a Bachelor's degree.
Designs and configures real-time charging, rating, and pricing models in SAP Convergent Charging for ride-share operations, including surge pricing, subscriptions, and integrations with billing systems. Requires 8+ years SAP BRIM experience with usage-based charging expertise.
Build analytical foundations for Member Experience and Contact Center operations by unifying data, developing predictive models like demand forecasting, and creating metrics for data-driven decisions in a fast-paced health tech environment. Requires 5+ years in data science, Python/SQL proficiency, and strong communication skills.
Builds and deploys AI agents to automate internal workflows at Brex by embedding with teams, integrating with systems and APIs, and measuring impact. Requires 4+ years experience shipping AI/automation with LLMs, agent frameworks, and databases.
Builds and deploys AI agents to automate internal workflows at Brex by embedding with teams, integrating systems, and measuring impact. Requires 4+ years experience with LLMs, agent frameworks, databases, and production AI systems.
Builds and deploys AI agents to automate internal workflows at Brex by embedding with teams, integrating systems and APIs, and measuring impact. Requires 4+ years experience shipping AI/automation with LLMs, agent frameworks, and databases.
Analyzes operational, product, and financial data to identify trends, build dashboards, and support cross-functional teams in optimizing fintech processes like fraud, risk, and rewards. Requires 3-7 years experience with SQL, Python, AI tools, and dashboarding.
New grad AI Engineer building AI-powered features using LLMs and embeddings, prototyping end-to-end from UX to model integration, and improving evaluation frameworks. Requires CS bachelor's/master's pursuit, internship experience, and proficiency in Python/TypeScript/React.
Designs and ships production AI systems including agentic workflows, RAG pipelines, and LLM integrations for an AI-native ERP platform serving finance teams. Requires 3+ years backend experience and 2+ years production AI with Python proficiency.
Builds and maintains ML infrastructure for training pipelines handling massive 3D data and real-time inference serving integrated with CAD software. Requires 3+ years experience with Python, PyTorch, ML orchestration tools, data versioning, and inference optimization.
Models inference performance across application, model, and fleet layers using microbenchmarks to build cost-to-serve estimates. Analyzes workloads end-to-end, enhances bottleneck detection tools, and collaborates on optimizations for latency, throughput, and cost.
Designs and owns architecture for production-grade AI analyst systems, including prompts, tools, context, evaluation, and safety. Partners with teams to build reliable AI capabilities for analytical workflows, emphasizing scalability and quality.
Build and maintain production data pipelines for AI model training, ensuring high-quality data through cleaning, transformation, and evaluation. Requires 1+ years experience with Python, ML, and neural networks; bachelor's in STEM.
Designs, builds, and maintains scalable data models using dbt and SQL for business reporting and metrics. Collaborates with stakeholders, ensures data quality, and optimizes ETL processes. Requires 4+ years experience with expert SQL/dbt/Python skills.
Leads AI Model LifeCycle team, building and managing fine-tuning, training pipelines for LLMs using techniques like PEFT, LoRA, RFT, and reinforcement learning. Requires 10+ years AI experience, advanced degree, hands-on LLM expertise, and team leadership skills.
Forecasts demand and plans capacity for global community support operations using advanced statistical models and analytics. Partners with stakeholders to optimize resources, service levels, and costs in a multi-channel contact center environment. Requires 10+ years in forecasting/workforce analytics and strong Python/SQL skills.
Owns post-launch performance, optimization, and administration of AI tools powering customer experience. Builds dashboards, manages incidents, documentation, and feedback loops for AI programs like Zendesk AI agents and VoiceAI, requiring data analysis and Zendesk expertise.
Builds QA systems, tooling, and workflows to audit and validate large-scale RL training data from suppliers. Partners with vendors to improve data quality using Python, Docker, and AI/ML techniques for frontier AI infrastructure.
Leads AI platform strategy and infrastructure for deploying AI features across Betterment's products, partnering with product, compliance, and engineering teams. Requires deep LLM expertise, fullstack experience with React/GraphQL/server languages, and production AI operations in a regulated environment.
Leads technical roadmap for ads content understanding, providing mentorship and hands-on ML work to build signals for content taxonomy, opinion mining, and product detection powering Reddit's ads. Requires 7+ years MLE experience with NLP/LLMs at scale and staff-level leadership.
Designs, builds, and maintains scalable data models, pipelines, and dashboards using dbt and Looker to power analytics and business decisions. Requires 4+ years in analytics/BI, SQL expertise, and data visualization proficiency.
Staff AI Engineer shapes technical direction of AI agents for audit workflows, owning architecture, LLM infrastructure, and reliability systems. Requires 8+ years experience with deep expertise in TypeScript/Python, RAG, and enterprise-scale LLM products.
Builds and scales ML compute platform on Kubernetes with Argo Workflows and Ray for distributed training, orchestration, and resource governance. Optimizes performance, debugs issues, and integrates tooling for ML teams at scale. Requires deep Kubernetes, systems, and programming expertise.
Conduct empirical research on AI's economic impacts, labor markets, and societal effects using external data and Python. Produce public outputs under mentorship, focusing on AI safety and policy recommendations; 4-month full-time program open to varying experience levels.
Builds and scales ETL pipelines, designs data schemas, and owns data quality/governance for 10x growth. Requires 5+ years in data pipelines with SQL, Spark, Airflow, Python, and MPP databases like Snowflake/Redshift.
Build and own high-performance inference runtime for Voice AI models including STT, TTS, and voice agents. Design real-time systems with low tail latency, collaborate cross-team, and optimize model serving for production workloads. Requires CS degree and real-time systems experience.
Leads development of ML and graph-based systems for international eKYC and identity graph, focusing on entity resolution, anomaly detection, and regulatory compliance across global markets. Requires 6+ years ML experience, expertise in Python, SQL, Spark, and graph technologies like Neo4j and AWS Neptune.
Leads design and deployment of ML, statistical, and graph algorithms for entity resolution, identity graphs, and KYC on large-scale PII datasets. Builds scalable pipelines in Spark/PySpark on AWS/Databricks, runs experiments, and mentors juniors. Requires Master's +3 years or PhD experience.
Develop graph-based algorithms, entity-resolution systems, and data pipelines on massive PII datasets to power KYC and compliance products. Requires Master's/PhD with 2+ years experience, Python/SQL proficiency, Spark, and ML libraries.
Analyzes large datasets to derive actionable insights, monitors performance trends, runs A/B tests, and builds data infrastructure to guide product decisions and drive growth at a consumer social events startup. Requires 3-5 years experience, SQL/Python fluency, and startup background.
Designs and optimizes embedded computer vision pipelines for real-time detection, tracking, and 3D localization of fast-moving drone threats in autonomous counter-UAS systems. Requires expertise in C++/Python, OpenCV, deep learning frameworks, sensor fusion, and edge deployment on NVIDIA Jetson.
Leads development and deployment of computer vision and ML models for real-time drone detection, tracking, and classification on edge hardware. Requires 6+ years experience with production CV/ML systems under latency constraints, proficiency in Python/C++/Rust, and PyTorch/JAX.
Build simulation environments and AI agents to model CTV advertising auctions, bidding strategies, and counterfactual scenarios. Requires systems programming in Zig/C++/Rust, adtech knowledge, and AI tool expertise to de-risk ML deployments and mentor engineers.
Leads research team advancing LLM scaling, post-training, RL, and inference efficiency. Drives innovations in optimization, distributed systems, and production integration using Python/PyTorch, with deep expertise in large-scale ML.
Staff Research Engineer leads development of conversational AI models for enterprise support agents, owning multi-quarter initiatives from research to production deployment. Requires 8+ years in AI/ML with experience deploying LLMs, Python fluency, and cross-functional leadership.
Senior Research Engineer leads development of conversational AI models for enterprise support agents, owning research-to-production initiatives to enhance reliability, capability, and efficiency. Requires 5+ years AI/ML experience with LLM deployment expertise.
Leads design and implementation of advanced user modeling systems using ML and LLMs to create unified user representations for personalization across Reddit's Feeds, Search, Notifications, and Ads. Requires 10+ years in production ML, especially user understanding and recommender systems.
Builds and optimizes RL training infrastructure, removes bottlenecks in the RL stack, and partners with researchers to accelerate model development at scale. Requires strong software engineering, ML infra experience, and comfort across the stack.
Research-minded Data Scientist building experimentation platforms, ML analytical systems, and causal inference models for data-driven decisions at Figma. Requires PhD in quantitative field, SQL/Python fluency, and strong stats/ML foundation.
Leads development and scaling of ML indexing and retrieval infrastructure for Reddit's recommendation systems, integrating lexical/vector search and GenAI. Requires 10+ years in software engineering with 3+ in technical leadership, expertise in distributed systems, stream processing, and cloud-native architectures.
Analyzes revenue operations data using SQL, BI tools, and Salesforce to support sales forecasting and business decisions. Requires 5+ years in tech Sales/RevOps, Snowflake experience, and AI workflow integration.
Leads foundational research on agentic AI systems for scientific reasoning, including literature synthesis, hypothesis formation, coding, experiments, and data analysis. Requires PhD in ML/NLP/reasoning with expertise in language models or reinforcement learning.
Designs and implements infrastructure for training next-generation LLM architectures focused on Mixture-of-Experts and long-context models. Requires 4+ years building ML pipelines with PyTorch/JAX/TF, deep learning expertise, and strong software engineering skills.
Postdoctoral researcher leading high-impact AI projects on Mixture-of-Experts and long-context language models, training/releasing models, building open-source tools, publishing papers, and mentoring juniors. Requires recent PhD in CS/ML with strong publication record and PyTorch expertise.
Combines clinical expertise (MD/PA/DO) with AI to develop and refine tools for clinical documentation, decision support, and risk adjustment. Defines quality standards, optimizes prompts, evaluates outputs, and collaborates with engineering teams to enhance clinician efficiency.
Develop and evaluate ML models and pipelines for AI products in healthcare, collaborating with MLOps teams on subprojects. Requires pursuing MS/PhD in CS/EE/BME with ML/CV focus, strong Python, and PyTorch/TensorFlow experience.
Designs, develops, and deploys ML models for research and product development in pathology AI, collaborating with scientists and engineers on biological/clinical applications. Requires Master's/PhD, Python/ML expertise, production deployment experience; leads projects at senior levels.