Member of Technical Staff at xAI performing cutting-edge AI research and hands-on engineering to advance large language models, quantitative reasoning, and language understanding. Requires Bachelor's in CS/ML-related field plus 2 years experience with big data tools, Kubernetes, deep learning, NLP/CV/speech, and languages like Rust/C++/Python.
Founding ML Operations Engineer building scalable training, inference, and evaluation pipelines for proprietary VLMs and LLMs in healthcare. Requires 5+ years production ML infrastructure experience, strong Python/TypeScript skills, and ownership in a fast-paced startup.
Investigate customer data questions using SQL, identify root causes, and improve data platform quality while building Python, Git, and modern software engineering skills on a dedicated track with opportunity to transition to Junior Software Engineer. 0-2 years experience and Bachelor's in quantitative field required.
Research Engineer building scalable ML systems and pipelines for Large Tabular Models on enterprise structured data. Implement algorithms, optimize training/inference, develop benchmarks, and translate research ideas (led by Stanford Prof. Andrea Montanari) into production.
Forward Deployed Scientist partnering with biotech/pharma customers to build biomedical environments and evaluation pipelines for AI agents. Requires PhD, industry computational biology experience, strong engineering skills, and deep expertise in drug discovery, preclinical, or clinical domains.
Build AI agents, semantic layers, and workflow automations that replace traditional finance BI at Snowflake. Design prompts/skills in CoCo, develop Python/SQL pipelines and Streamlit apps, own semantic models, and deliver earnings/reporting automation for Strategic Finance. Requires daily LLM coding assistant experience, strong Python/SQL, and finance analytics background.
Research Engineer conducting open-ended ML research, reproducing SOTA papers, building/scaling distributed training infrastructure on GPU clusters, and bridging research ideas into production code. Requires strong programming, ML frameworks, distributed systems experience, and math foundations; Master's/PhD preferred.
Build and productionize vision-language models for document understanding at LlamaIndex. Focus on training, fine-tuning, synthetic data, benchmarking, and turning research prototypes into accurate, low-latency production systems for real-world PDFs, tables, and enterprise docs. Requires 3+ years ML engineering/applied research experience with strong PyTorch skills.
Staff Data Engineer building and evolving Checkr's centralized people data platform and pipelines that power all AI verification products. Requires 10+ years experience with large-scale data platforms, PySpark, Python, SQL, Kafka, Spark, Iceberg and AWS services; will mentor juniors and own architecture.
Research Engineer/Scientist shaping personalities and behaviors of personalized AI models like ChatGPT using RL, reward modeling, synthetic data, and post-training methods. Requires strong ML engineering and research experience with large models.
Senior technical leader building, productionizing and operating large-scale ML models and Agentic AI systems to fight fraud, ensure safety and build trust across Airbnb's platform. Requires 12+ years applied ML experience and deep expertise in LLMs/GenAI.
Own the architecture and buildout of Collective's Operations Intelligence Warehouse in BigQuery and Metabase. Build dimensional models in dbt, instrument operational metrics (cycle time, yield, utilization), connect ops data to revenue outcomes, and drive statistical rigor for an AI-native financial services operation. Requires 5+ years in data analysis/analytics engineering, expert SQL, and warehouse architecture experience.
Lead development, tuning, and maintenance of financial crimes compliance (FCC) transaction monitoring and sanctions screening models. Requires 8+ years data analytics experience (5+ in AML/FCC), strong SQL, Python/ML knowledge, and deep regulatory expertise to reduce false positives while ensuring compliance.
Senior Machine Learning Engineer building and deploying scalable production ML systems for personalized health insights from wearable physiological data. Requires 4+ years ML engineering experience, strong Python and backend skills, and experience with inference at scale.
Lead data strategy, reporting, and systems configuration for Mercury's Customer Support organization. Own unified analytics, data hygiene, AI automation insights, and dashboards using Zendesk, SQL, and BI tools to drive CS performance, resourcing, and strategy decisions. Requires 5-8 years in data/BI/systems analysis, preferably in support/ops.
Data Scientist partnering with infrastructure engineering teams at Pinterest to build metrics, measurement systems, and analytical frameworks that improve reliability, performance, cost efficiency and data quality of core technical systems. Requires 4+ years experience with SQL, experimentation, and production data pipelines.
Lead and develop a team of analytics engineers to design, build, and maintain scalable data models, ELT pipelines, and BI solutions using modern data stack tools. Requires 7+ years data experience including 2+ years managing teams, deep expertise in SQL, Python, Snowflake, dbt, and dimensional modeling.
Lead and grow a Data Governance team while owning foundational buildout, ongoing programs, the Atlan data catalog, certification standards, and AI-driven governance initiatives. Requires 8+ years data experience (including ownership of governance programs), 3+ years people management, SQL/dbt fluency, and strong stakeholder influence skills.
Staff ML Engineer on Pinterest's Merchant team building and leading LLM-first systems for merchant quality, integrity, affinity modeling, and shopping relevance. First ML engineering hire; sets technical direction, evaluation standards, and production practices for agentic workflows and discovery surfaces.
Senior Analyst owning end-to-end COGS, gross margin, and unit economics analysis for hardware/software products. Structure ambiguous executive questions, build models and datasets, deliver recommendations to CPO/CTO, and influence product/finance decisions in a fast-paced remote environment. Requires 7+ years experience, expert SQL, and strong autonomy.
Senior Social Measurement Lead responsible for defining Airbnb's global social media measurement strategy, frameworks, KPIs, and experimentation. Translate complex cross-platform data and AI-driven insights into strategic narratives and actionable recommendations that connect social performance to business outcomes for marketing, comms, and leadership teams.
Data Scientist partnering with Developer Productivity leadership at Anthropic to define, measure, and improve developer productivity in an AI-first organization. Lead investigations, set metrics frameworks, run experiments on AI tooling, and influence leadership with data in a fast-changing space. Requires strong SQL/Python, ambiguous problem-solving, and 8+ years data science experience.
Generalist Research Engineer working across Exa's search and retrieval stack including crawling, parsing, ML performance, and retrieval algorithms to improve search quality and performance for customers.
Build and scale the core database infrastructure powering Claude at Anthropic, including data plane/control plane, data movement (CDC, migrations), and caching systems that support millions of users and frontier AI research across multi-cloud environments. Requires deep expertise in distributed databases and production storage systems.
Analyst responsible for translating lending guidelines into Excel-based programmatic review templates and automated validation systems for loan portfolios. Collaborates with engineering on platform integration and supports securitization initiatives. Requires 2-4 years financial services experience and expert Excel skills.
Scientist building ensemble-aware protein representations and ML models that integrate dynamic structural data with PLMs, ligands, and functional info to advance dynamic structural biology. Requires PhD and experience with large bioinformatic pipelines.
Research Assistant supporting the diffUSE Project by maintaining bioinformatic pipelines, curating structural biology datasets (X-ray, cryo-EM, ensembles), running validation checks, and assisting with data deposition and publication materials. Requires BS/MS in bioinformatics or related field, Python proficiency, and strong attention to detail.
As the first dedicated education researcher at Anthropic's Education Labs, design and run mixed-methods studies on AI skill development, build/validate learning measures and instruments, and translate insights into product, curriculum, and model improvements. Requires research background in learning sciences or related fields, strong mixed-methods expertise, Python/LLM technical skills, and comfort with ambiguity.
Senior Data Scientist defining measurement frameworks and strategic analyses for Chime's AI-powered app experiences and member engagement. Owns metrics as source of truth, partners with executives across Product/Engineering/Marketing, leads deep-dive analyses, mentors team, and drives product impact. Requires 5-7 years experience, SQL, dbt, stats, and executive stakeholder skills.
Research Engineers at Distyl build and productionize post-training techniques (fine-tuning, RLHF, reward models, evals) to improve reliability and behavior of compound AI systems for enterprise customers. Requires strong applied ML experimentation skills and ownership of real-world outcomes.
Research Engineers at Distyl build and productionize reliable agentic AI systems and compound architectures for enterprise workflows. They design agents, develop evaluation frameworks, run experiments on reasoning and failure modes, and integrate into customer environments.
Research Engineers at Distyl build data systems and pipelines that power reliable compound AI workflows in enterprise environments. They create data quality frameworks, synthetic data strategies, and evaluation tools while partnering with researchers and customers to turn raw data into production AI value.
Market Research Intern supporting commercial strategy at a multifamily fintech company. Conduct market analysis, site visits, synthesize insights for executive materials, and collaborate with Sales and leadership teams. Ideal for early-career candidates with strong communication and organizational skills.
Tech Lead Manager to hands-on lead the inference platform team at Luma AI. Own the full serving stack for multimodal models across thousands of GPUs, spending 50%+ time as IC on architecture, optimization, and debugging while growing the team and setting technical direction.
Senior GTM Data Scientist partnering with Sales, Marketing, and Customer Success teams. Design and deploy predictive ML models (LTV, attribution, propensity), run experiments with causal inference, and translate insights into actionable GTM strategies. Requires 4+ years in applied data science with strong Python/SQL and experimentation skills.
Develop mathematical optimization and ML models for Lyft's Planned Pricing systems to set efficient price targets. Requires PhD in quantitative field, strong optimization experience, and Python proficiency in production environments.
Senior Data Scientist on Lyft's FORTOP team building and productionizing time series forecasting and ML models to generate real-time supply/demand signals that power Dynamic Pricing, Supply Management and other marketplace systems. Requires 5+ years experience, strong ML fundamentals, and Python proficiency.
Senior Data Scientist on Lyft's FORTOP team building and productionizing time series forecasting and ML models to generate real-time supply/demand signals that power Dynamic Pricing, Supply Management and other marketplace systems. Requires 5+ years experience, strong ML fundamentals, and Python proficiency.
Research intern role for ICML 2026 attendees interested in advancing machine learning and building reliable AI systems at Scale AI's data foundry. Requires strong ML research background and passion for generative AI, defense, and autonomous applications.
3-month full-time research fellowship at Base Labs focused on open-source LLMs and frontier AI. Fellows receive 1:1 senior mentorship, $15k stipend, full support, and a path to full-time roles while producing publishable research from the San Francisco office.
Build and optimize the high-performance inference platform serving Grok at massive scale. Design distributed serving infrastructure, low-level GPU optimizations, quantization, speculative decoding, and CI/CD for production reliability and low latency.
Be the first dedicated owner of Confido's ML platform, owning end-to-end ML pipelines, infrastructure for training/inference/agentic workloads, and providing reproducible environments for the AI/ML team in a fast-growing CPG AI startup.
Staff Software Engineer building and scaling Plaid's Data Infrastructure platform (warehouses, lakehouses, Spark, streaming, orchestration). Lead projects to improve ML workflows, data freshness, ETL pipelines; mentor engineers and reduce operational burden. Requires 6+ years software engineering with deep data infrastructure expertise.
Staff Software Engineer building and scaling Okta's high-volume, low-latency Data Platform for streaming analytics, ML, and telemetry using technologies like Kafka, Flink, and Snowflake. Requires 8+ years experience with distributed systems and Java; U.S. Person status required for FedRAMP.
Contract role partnering with Data Science to build audience segmentation frameworks and own weekly price floor governance for Character.AI's programmatic advertising. Requires 4+ years in yield management or ad monetization analytics, GAM fluency, and hybrid monetization experience to align ads with subscriptions and LTV.
Data Analyst partnering with Customer Success to analyze customer data from senior living communities, create dashboards and visualizations, present actionable insights in QBRs, and provide feedback to Product and Engineering. Requires 4+ years experience, advanced SQL, Python, and customer-facing skills.
Early-career engineer building and productionizing AI-powered features at Notion using LLMs and embeddings. Less than 2 years experience; strong fundamentals in algorithms, data structures, and distributed systems required.
Research Engineer building platforms to customize open-source LLMs via fine-tuning, RL, and evaluation. Focus on integrating post-training with inference engines (vLLM, SGLang, TensorRT-LLM), optimizing for RL workloads, and ensuring production reliability. Requires 2+ years ML production experience and strong Python/Go skills.
Machine Learning Engineer building the Enterprise Brain - a proactive AI system for task detection, automation, reasoning, planning and personalization using LLMs, RL, fine-tuning, and advanced ranking on top of enterprise and personal knowledge graphs. Requires 3+ years ML experience, strong production ML skills, and expertise in evaluation/benchmarking.
Build and operate scalable AWS cloud infrastructure, LLM platforms, RAG systems, and data pipelines for an AI aviation platform. Requires strong AWS and LLM production experience; hybrid in San Carlos, CA.
Member of Technical Staff at xAI performing cutting-edge AI research and hands-on engineering to advance large language models, quantitative reasoning, and language understanding. Requires Bachelor's in CS/ML-related field plus 2 years experience with big data tools, Kubernetes, deep learning, NLP/CV/speech, and languages like Rust/C++/Python.
Founding ML Operations Engineer building scalable training, inference, and evaluation pipelines for proprietary VLMs and LLMs in healthcare. Requires 5+ years production ML infrastructure experience, strong Python/TypeScript skills, and ownership in a fast-paced startup.
Investigate customer data questions using SQL, identify root causes, and improve data platform quality while building Python, Git, and modern software engineering skills on a dedicated track with opportunity to transition to Junior Software Engineer. 0-2 years experience and Bachelor's in quantitative field required.
Research Engineer building scalable ML systems and pipelines for Large Tabular Models on enterprise structured data. Implement algorithms, optimize training/inference, develop benchmarks, and translate research ideas (led by Stanford Prof. Andrea Montanari) into production.
Forward Deployed Scientist partnering with biotech/pharma customers to build biomedical environments and evaluation pipelines for AI agents. Requires PhD, industry computational biology experience, strong engineering skills, and deep expertise in drug discovery, preclinical, or clinical domains.
Build AI agents, semantic layers, and workflow automations that replace traditional finance BI at Snowflake. Design prompts/skills in CoCo, develop Python/SQL pipelines and Streamlit apps, own semantic models, and deliver earnings/reporting automation for Strategic Finance. Requires daily LLM coding assistant experience, strong Python/SQL, and finance analytics background.
Research Engineer conducting open-ended ML research, reproducing SOTA papers, building/scaling distributed training infrastructure on GPU clusters, and bridging research ideas into production code. Requires strong programming, ML frameworks, distributed systems experience, and math foundations; Master's/PhD preferred.
Build and productionize vision-language models for document understanding at LlamaIndex. Focus on training, fine-tuning, synthetic data, benchmarking, and turning research prototypes into accurate, low-latency production systems for real-world PDFs, tables, and enterprise docs. Requires 3+ years ML engineering/applied research experience with strong PyTorch skills.
Staff Data Engineer building and evolving Checkr's centralized people data platform and pipelines that power all AI verification products. Requires 10+ years experience with large-scale data platforms, PySpark, Python, SQL, Kafka, Spark, Iceberg and AWS services; will mentor juniors and own architecture.
Research Engineer/Scientist shaping personalities and behaviors of personalized AI models like ChatGPT using RL, reward modeling, synthetic data, and post-training methods. Requires strong ML engineering and research experience with large models.
Senior technical leader building, productionizing and operating large-scale ML models and Agentic AI systems to fight fraud, ensure safety and build trust across Airbnb's platform. Requires 12+ years applied ML experience and deep expertise in LLMs/GenAI.
Own the architecture and buildout of Collective's Operations Intelligence Warehouse in BigQuery and Metabase. Build dimensional models in dbt, instrument operational metrics (cycle time, yield, utilization), connect ops data to revenue outcomes, and drive statistical rigor for an AI-native financial services operation. Requires 5+ years in data analysis/analytics engineering, expert SQL, and warehouse architecture experience.
Lead development, tuning, and maintenance of financial crimes compliance (FCC) transaction monitoring and sanctions screening models. Requires 8+ years data analytics experience (5+ in AML/FCC), strong SQL, Python/ML knowledge, and deep regulatory expertise to reduce false positives while ensuring compliance.
Senior Machine Learning Engineer building and deploying scalable production ML systems for personalized health insights from wearable physiological data. Requires 4+ years ML engineering experience, strong Python and backend skills, and experience with inference at scale.
Lead data strategy, reporting, and systems configuration for Mercury's Customer Support organization. Own unified analytics, data hygiene, AI automation insights, and dashboards using Zendesk, SQL, and BI tools to drive CS performance, resourcing, and strategy decisions. Requires 5-8 years in data/BI/systems analysis, preferably in support/ops.
Data Scientist partnering with infrastructure engineering teams at Pinterest to build metrics, measurement systems, and analytical frameworks that improve reliability, performance, cost efficiency and data quality of core technical systems. Requires 4+ years experience with SQL, experimentation, and production data pipelines.
Lead and develop a team of analytics engineers to design, build, and maintain scalable data models, ELT pipelines, and BI solutions using modern data stack tools. Requires 7+ years data experience including 2+ years managing teams, deep expertise in SQL, Python, Snowflake, dbt, and dimensional modeling.
Lead and grow a Data Governance team while owning foundational buildout, ongoing programs, the Atlan data catalog, certification standards, and AI-driven governance initiatives. Requires 8+ years data experience (including ownership of governance programs), 3+ years people management, SQL/dbt fluency, and strong stakeholder influence skills.
Staff ML Engineer on Pinterest's Merchant team building and leading LLM-first systems for merchant quality, integrity, affinity modeling, and shopping relevance. First ML engineering hire; sets technical direction, evaluation standards, and production practices for agentic workflows and discovery surfaces.
Senior Analyst owning end-to-end COGS, gross margin, and unit economics analysis for hardware/software products. Structure ambiguous executive questions, build models and datasets, deliver recommendations to CPO/CTO, and influence product/finance decisions in a fast-paced remote environment. Requires 7+ years experience, expert SQL, and strong autonomy.
Senior Social Measurement Lead responsible for defining Airbnb's global social media measurement strategy, frameworks, KPIs, and experimentation. Translate complex cross-platform data and AI-driven insights into strategic narratives and actionable recommendations that connect social performance to business outcomes for marketing, comms, and leadership teams.
Data Scientist partnering with Developer Productivity leadership at Anthropic to define, measure, and improve developer productivity in an AI-first organization. Lead investigations, set metrics frameworks, run experiments on AI tooling, and influence leadership with data in a fast-changing space. Requires strong SQL/Python, ambiguous problem-solving, and 8+ years data science experience.
Generalist Research Engineer working across Exa's search and retrieval stack including crawling, parsing, ML performance, and retrieval algorithms to improve search quality and performance for customers.
Build and scale the core database infrastructure powering Claude at Anthropic, including data plane/control plane, data movement (CDC, migrations), and caching systems that support millions of users and frontier AI research across multi-cloud environments. Requires deep expertise in distributed databases and production storage systems.
Analyst responsible for translating lending guidelines into Excel-based programmatic review templates and automated validation systems for loan portfolios. Collaborates with engineering on platform integration and supports securitization initiatives. Requires 2-4 years financial services experience and expert Excel skills.
Scientist building ensemble-aware protein representations and ML models that integrate dynamic structural data with PLMs, ligands, and functional info to advance dynamic structural biology. Requires PhD and experience with large bioinformatic pipelines.
Research Assistant supporting the diffUSE Project by maintaining bioinformatic pipelines, curating structural biology datasets (X-ray, cryo-EM, ensembles), running validation checks, and assisting with data deposition and publication materials. Requires BS/MS in bioinformatics or related field, Python proficiency, and strong attention to detail.
As the first dedicated education researcher at Anthropic's Education Labs, design and run mixed-methods studies on AI skill development, build/validate learning measures and instruments, and translate insights into product, curriculum, and model improvements. Requires research background in learning sciences or related fields, strong mixed-methods expertise, Python/LLM technical skills, and comfort with ambiguity.
Senior Data Scientist defining measurement frameworks and strategic analyses for Chime's AI-powered app experiences and member engagement. Owns metrics as source of truth, partners with executives across Product/Engineering/Marketing, leads deep-dive analyses, mentors team, and drives product impact. Requires 5-7 years experience, SQL, dbt, stats, and executive stakeholder skills.
Research Engineers at Distyl build and productionize post-training techniques (fine-tuning, RLHF, reward models, evals) to improve reliability and behavior of compound AI systems for enterprise customers. Requires strong applied ML experimentation skills and ownership of real-world outcomes.
Research Engineers at Distyl build and productionize reliable agentic AI systems and compound architectures for enterprise workflows. They design agents, develop evaluation frameworks, run experiments on reasoning and failure modes, and integrate into customer environments.
Research Engineers at Distyl build data systems and pipelines that power reliable compound AI workflows in enterprise environments. They create data quality frameworks, synthetic data strategies, and evaluation tools while partnering with researchers and customers to turn raw data into production AI value.
Market Research Intern supporting commercial strategy at a multifamily fintech company. Conduct market analysis, site visits, synthesize insights for executive materials, and collaborate with Sales and leadership teams. Ideal for early-career candidates with strong communication and organizational skills.
Tech Lead Manager to hands-on lead the inference platform team at Luma AI. Own the full serving stack for multimodal models across thousands of GPUs, spending 50%+ time as IC on architecture, optimization, and debugging while growing the team and setting technical direction.
Senior GTM Data Scientist partnering with Sales, Marketing, and Customer Success teams. Design and deploy predictive ML models (LTV, attribution, propensity), run experiments with causal inference, and translate insights into actionable GTM strategies. Requires 4+ years in applied data science with strong Python/SQL and experimentation skills.
Develop mathematical optimization and ML models for Lyft's Planned Pricing systems to set efficient price targets. Requires PhD in quantitative field, strong optimization experience, and Python proficiency in production environments.
Senior Data Scientist on Lyft's FORTOP team building and productionizing time series forecasting and ML models to generate real-time supply/demand signals that power Dynamic Pricing, Supply Management and other marketplace systems. Requires 5+ years experience, strong ML fundamentals, and Python proficiency.
Senior Data Scientist on Lyft's FORTOP team building and productionizing time series forecasting and ML models to generate real-time supply/demand signals that power Dynamic Pricing, Supply Management and other marketplace systems. Requires 5+ years experience, strong ML fundamentals, and Python proficiency.
Research intern role for ICML 2026 attendees interested in advancing machine learning and building reliable AI systems at Scale AI's data foundry. Requires strong ML research background and passion for generative AI, defense, and autonomous applications.
3-month full-time research fellowship at Base Labs focused on open-source LLMs and frontier AI. Fellows receive 1:1 senior mentorship, $15k stipend, full support, and a path to full-time roles while producing publishable research from the San Francisco office.
Build and optimize the high-performance inference platform serving Grok at massive scale. Design distributed serving infrastructure, low-level GPU optimizations, quantization, speculative decoding, and CI/CD for production reliability and low latency.
Be the first dedicated owner of Confido's ML platform, owning end-to-end ML pipelines, infrastructure for training/inference/agentic workloads, and providing reproducible environments for the AI/ML team in a fast-growing CPG AI startup.
Staff Software Engineer building and scaling Plaid's Data Infrastructure platform (warehouses, lakehouses, Spark, streaming, orchestration). Lead projects to improve ML workflows, data freshness, ETL pipelines; mentor engineers and reduce operational burden. Requires 6+ years software engineering with deep data infrastructure expertise.
Staff Software Engineer building and scaling Okta's high-volume, low-latency Data Platform for streaming analytics, ML, and telemetry using technologies like Kafka, Flink, and Snowflake. Requires 8+ years experience with distributed systems and Java; U.S. Person status required for FedRAMP.
Contract role partnering with Data Science to build audience segmentation frameworks and own weekly price floor governance for Character.AI's programmatic advertising. Requires 4+ years in yield management or ad monetization analytics, GAM fluency, and hybrid monetization experience to align ads with subscriptions and LTV.
Data Analyst partnering with Customer Success to analyze customer data from senior living communities, create dashboards and visualizations, present actionable insights in QBRs, and provide feedback to Product and Engineering. Requires 4+ years experience, advanced SQL, Python, and customer-facing skills.
Early-career engineer building and productionizing AI-powered features at Notion using LLMs and embeddings. Less than 2 years experience; strong fundamentals in algorithms, data structures, and distributed systems required.
Research Engineer building platforms to customize open-source LLMs via fine-tuning, RL, and evaluation. Focus on integrating post-training with inference engines (vLLM, SGLang, TensorRT-LLM), optimizing for RL workloads, and ensuring production reliability. Requires 2+ years ML production experience and strong Python/Go skills.
Machine Learning Engineer building the Enterprise Brain - a proactive AI system for task detection, automation, reasoning, planning and personalization using LLMs, RL, fine-tuning, and advanced ranking on top of enterprise and personal knowledge graphs. Requires 3+ years ML experience, strong production ML skills, and expertise in evaluation/benchmarking.
Build and operate scalable AWS cloud infrastructure, LLM platforms, RAG systems, and data pipelines for an AI aviation platform. Requires strong AWS and LLM production experience; hybrid in San Carlos, CA.