Principal MLE focused on fine-tuning and optimizing large language models for production, building scalable AI pipelines, and shaping Airbnb's ML platform strategy. Requires 10+ years experience and a PhD.
Lead Protege's DataLab research organization, defining strategy for AI training data quality, evaluation systems, and marketplace optimization while managing researchers and partnering with Product, Engineering, and GTM.
Build and maintain infrastructure for large-scale RL training runs of frontier OpenAI models. Debug across training, inference, and distributed systems while supporting research integrations.
Build and ship production-grade AI agents and experiences that help creators personalize, automate, and grow. Requires strong product engineering skills, hands-on LLM/agent experience, and rigorous evaluation practices.
Build and operate AI-powered features end-to-end for Calendly customers, from design through deployment. Requires 6+ years applied AI/ML experience, GenAI architecture skills, and strong programming in Python/Scala/Java/SQL.
Founding engineer building enterprise-grade agentic AI systems at Benchling, owning architecture, production code, and cross-functional enablement for LLM orchestration and internal tooling.
Build and own algorithmic systems that evaluate providers, make recommendations, and optimize healthcare outcomes for cost, quality, and access. Requires 2+ years shipping production algorithms and expertise in ML, optimization, and heuristics.
Founding engineer owning architecture and delivery of enterprise agentic AI systems. Hands-on builder of LLM orchestration, tool integrations, memory, evaluation, and production-grade infrastructure.
Technical lead defining ML strategy and systems to improve Pinterest's content ecosystem health, marketplace dynamics, and long-term outcomes. Requires strong ML fundamentals, marketplace thinking, and experience leading high-scale, multi-objective optimization projects.
Senior Data Platform Engineer building a streaming-first, domain-oriented data platform on Kafka, Iceberg, Databricks, and Snowflake to enable near real-time governed data access.
Lead design and production delivery of LLM-powered AI features including real-time coaching, call insights, and prospect enrichment. Requires 7+ years building and shipping ML systems with deep LLM experience.
Hands-on senior software engineer focused on maintaining and improving ML training infrastructure, debugging training systems, and unblocking researchers on the robotics team.
Lead technical vision and development of large-scale DNN models for ads conversion modeling, improving user action prediction with low latency. Requires 6+ years building production ML systems at scale and 2+ years leading technical projects.
Senior individual contributor building and deploying large-scale multimodal foundation models that integrate wearable sensor, biomarker, and behavioral data for personalized health insights.
Build AI agents, memory systems, and governance layers for a platform that lets non-engineers create enterprise software. Requires backend, LLM, and security experience.
Design, build, and operate large-scale data pipelines that power Komodo's Healthcare Map and downstream analytics/AI use cases. Requires strong Python, SQL, Airflow, Spark, and AWS experience building production-grade systems.
Senior Software Engineer owning JVM-based data integrations and connectors for ClickHouse. Requires 6+ years experience building scalable data systems with deep Java/JVM expertise and experience extending frameworks like Spark, Flink, or Kafka Connect.
Internship focused on model pruning for neural network inference optimization on Quadric's GPNPU architecture. MS student role requiring Python, PyTorch pruning experience, and quantization knowledge.
MS student intern implementing and optimizing ONNX operator kernels for a GPNPU architecture, leveraging C/C++/Python and performance profiling skills.
Build and scale backend infrastructure powering agentic AI products including orchestration engines, RAG systems, evals infrastructure, and production AI workflows. Requires 4+ years distributed systems experience and deep Python plus Go/Java proficiency.
Lead customer AI programs on the Cortex AI team, owning end-to-end delivery of LLM and agentic solutions while mentoring 2-6 engineers and staying hands-on. Requires 5+ years of software engineering experience with proven productionization of LLMs, RAG, and evaluation frameworks.
Hands-on Applied AI Engineer on the Cortex AI team building and deploying production-grade AI agents and solutions for enterprise customers using Snowpark, Cortex, and native LLM capabilities.
Lead marketing analytics at OpenAI by defining KPIs, building measurement frameworks, designing experiments, and delivering insights to drive campaign performance and business decisions.
Manager owning Looker dashboards, reporting infrastructure, and ad hoc analytics for Finance, Operations, and GTM teams. Requires 4-6 years of experience and strong Looker expertise.
Own the technical vision and architecture for a data & ML platform serving analytics, product, and machine learning workloads. Drive cross-org initiatives, set platform standards, and build infrastructure at the intersection of data engineering and ML systems.
Staff Data Engineer leading architecture and reliability for a unified data platform that powers real-time experiences, analytics, and ML systems. Owns data contracts, schema evolution, observability, and standards across Kafka, Flink, PySpark, Delta Lake, and Databricks in a HIPAA-compliant environment.
Technical lead for ML team building personalization, ranking, and search systems at scale. Own architecture, model training, deployment, and serve as hands-on mentor driving production ML systems.
Open general application for computational biology, ML research, data science, software engineering, and program roles at DiffUSE, focused on protein dynamics, structural data infrastructure, and open science tooling.
Staff Data Scientist owning end-to-end analytical projects that influence product decisions, marketing campaigns, and executive strategy. Applies statistical methods, experimentation design, and AI-powered systems to improve customer lifetime value and business outcomes.
Lead the design and validation of trustworthy benchmarks and evaluations for frontier AI models, including agentic and domain-specific tasks. Own the science of evals and annotator quality, publishing research and translating findings into production datasets.
Build and maintain curated analytical datasets, data models, and executive dashboards that power metrics and self-serve analytics for data scientists, PMs, and stakeholders.
Contract Senior Data Scientist building and maintaining Marketing Mix Models and geo-based causal inference experiments to measure marketing incrementality. Requires 5+ years experience, Python/R/SQL proficiency, and strong stakeholder communication skills.
Conduct multi-omics analyses (scRNA-seq, bulk RNA-seq, proteomics, metabolomics) on organoid systems to characterize fidelity and identify biomarkers. Develop computational pipelines, integrate public datasets, and collaborate with experimental teams. Requires a PhD in bioinformatics or related field with strong R/Python skills.
Design, build, and maintain scalable Snowflake data pipelines for Product and Data Science teams, with ownership of cost optimization, performance tuning, and Streamlit dashboards.
Senior ML Engineer focused on building, deploying, and monitoring credit underwriting models. Requires 6+ years production ML experience, fintech lending knowledge, and Python/Spark proficiency.
Own end-to-end computer vision pipelines for extracting structured inventory data from clinical images using object detection, multimodal LLMs, and OCR. Requires 5+ years of CV experience and strong Python backend skills.
Design, build, and deploy computer vision and deep learning models for production applications. Requires 5+ years of ML/CV experience, strong Python and framework proficiency, and deployment on cloud/edge platforms.
Lead and manage a team of 5+ data engineers to build and operate Skillable's enterprise data platform. Drive Medallion architecture implementation using Databricks, dbt, Boomi, and Delta Lake while establishing DataOps practices and improving pipeline reliability.
Member of Technical Staff building production speech and language models for voice AI agents in financial services. Own core modeling, evals, and deployment on a small team with high autonomy and real revenue impact.
Software Engineer building data models, pipelines, and systems for measuring, monetizing, and optimizing customer lifecycle at an AI marketing platform.
Experienced AI/ML engineer building and deploying LLM/NLU systems to extract and evaluate clinical data from medical documents for healthcare payers. Focus on reliable, accurate outputs and seamless integration with backend platforms.
Own and evolve AI systems for ClickUp's voice platform including real-time transcription, LLM post-processing, and voice-to-action pipelines.
Senior individual contributor Product Data Scientist driving growth analyses, experimentation, and applied analytics for a mental health tech platform. Owns opportunity sizing, experiment design, and cross-functional insights for Product, Engineering, and Operations stakeholders.
Data Mining Analyst responsible for extracting insights from large healthcare datasets using SQL and data mining techniques. Lead small projects, create reports, and train new analysts while collaborating across departments.
Senior Data Analyst embedded with Growth, Sales, and Acquisition teams to improve marketing measurement, run experiments, build data models, and drive GTM decisions using SQL, BigQuery, and dbt.
Staff AI Engineer designing and shipping agentic AI workflows and internal productivity tools across sales, marketing, finance, and talent teams. Partner with business stakeholders to build production-grade multi-agent systems using LLMs and orchestration platforms.
Forward-deployed AI Engineer embedding with teams to build production agentic workflows, LLM applications, RAG pipelines, and MCP servers that automate work across Engineering, Operations, and Finance. Own end-to-end delivery from discovery through production monitoring on GCP.
Lead a world-class research team advancing LLM scaling, post-training, RL, and inference efficiency at Databricks AI. Drive research roadmap and translate breakthroughs into production systems while collaborating closely with engineering and product teams.
Develop and optimize large neural network-based tabular models. Profile and rewrite performance-critical components in Rust and C++ to improve efficiency, latency, and throughput for enterprise AI systems.
New grad Data Scientist role focused on model optimization and quantization for Quadric's custom GPNPU architecture. Own quantization workflows, extend quantization libraries, and build accuracy testing infrastructure. Requires strong Python/PyTorch skills and ML foundations.
Principal MLE focused on fine-tuning and optimizing large language models for production, building scalable AI pipelines, and shaping Airbnb's ML platform strategy. Requires 10+ years experience and a PhD.
Lead Protege's DataLab research organization, defining strategy for AI training data quality, evaluation systems, and marketplace optimization while managing researchers and partnering with Product, Engineering, and GTM.
Build and maintain infrastructure for large-scale RL training runs of frontier OpenAI models. Debug across training, inference, and distributed systems while supporting research integrations.
Build and ship production-grade AI agents and experiences that help creators personalize, automate, and grow. Requires strong product engineering skills, hands-on LLM/agent experience, and rigorous evaluation practices.
Build and operate AI-powered features end-to-end for Calendly customers, from design through deployment. Requires 6+ years applied AI/ML experience, GenAI architecture skills, and strong programming in Python/Scala/Java/SQL.
Founding engineer building enterprise-grade agentic AI systems at Benchling, owning architecture, production code, and cross-functional enablement for LLM orchestration and internal tooling.
Build and own algorithmic systems that evaluate providers, make recommendations, and optimize healthcare outcomes for cost, quality, and access. Requires 2+ years shipping production algorithms and expertise in ML, optimization, and heuristics.
Founding engineer owning architecture and delivery of enterprise agentic AI systems. Hands-on builder of LLM orchestration, tool integrations, memory, evaluation, and production-grade infrastructure.
Technical lead defining ML strategy and systems to improve Pinterest's content ecosystem health, marketplace dynamics, and long-term outcomes. Requires strong ML fundamentals, marketplace thinking, and experience leading high-scale, multi-objective optimization projects.
Senior Data Platform Engineer building a streaming-first, domain-oriented data platform on Kafka, Iceberg, Databricks, and Snowflake to enable near real-time governed data access.
Lead design and production delivery of LLM-powered AI features including real-time coaching, call insights, and prospect enrichment. Requires 7+ years building and shipping ML systems with deep LLM experience.
Hands-on senior software engineer focused on maintaining and improving ML training infrastructure, debugging training systems, and unblocking researchers on the robotics team.
Lead technical vision and development of large-scale DNN models for ads conversion modeling, improving user action prediction with low latency. Requires 6+ years building production ML systems at scale and 2+ years leading technical projects.
Senior individual contributor building and deploying large-scale multimodal foundation models that integrate wearable sensor, biomarker, and behavioral data for personalized health insights.
Build AI agents, memory systems, and governance layers for a platform that lets non-engineers create enterprise software. Requires backend, LLM, and security experience.
Design, build, and operate large-scale data pipelines that power Komodo's Healthcare Map and downstream analytics/AI use cases. Requires strong Python, SQL, Airflow, Spark, and AWS experience building production-grade systems.
Senior Software Engineer owning JVM-based data integrations and connectors for ClickHouse. Requires 6+ years experience building scalable data systems with deep Java/JVM expertise and experience extending frameworks like Spark, Flink, or Kafka Connect.
Internship focused on model pruning for neural network inference optimization on Quadric's GPNPU architecture. MS student role requiring Python, PyTorch pruning experience, and quantization knowledge.
MS student intern implementing and optimizing ONNX operator kernels for a GPNPU architecture, leveraging C/C++/Python and performance profiling skills.
Build and scale backend infrastructure powering agentic AI products including orchestration engines, RAG systems, evals infrastructure, and production AI workflows. Requires 4+ years distributed systems experience and deep Python plus Go/Java proficiency.
Lead customer AI programs on the Cortex AI team, owning end-to-end delivery of LLM and agentic solutions while mentoring 2-6 engineers and staying hands-on. Requires 5+ years of software engineering experience with proven productionization of LLMs, RAG, and evaluation frameworks.
Hands-on Applied AI Engineer on the Cortex AI team building and deploying production-grade AI agents and solutions for enterprise customers using Snowpark, Cortex, and native LLM capabilities.
Lead marketing analytics at OpenAI by defining KPIs, building measurement frameworks, designing experiments, and delivering insights to drive campaign performance and business decisions.
Manager owning Looker dashboards, reporting infrastructure, and ad hoc analytics for Finance, Operations, and GTM teams. Requires 4-6 years of experience and strong Looker expertise.
Own the technical vision and architecture for a data & ML platform serving analytics, product, and machine learning workloads. Drive cross-org initiatives, set platform standards, and build infrastructure at the intersection of data engineering and ML systems.
Staff Data Engineer leading architecture and reliability for a unified data platform that powers real-time experiences, analytics, and ML systems. Owns data contracts, schema evolution, observability, and standards across Kafka, Flink, PySpark, Delta Lake, and Databricks in a HIPAA-compliant environment.
Technical lead for ML team building personalization, ranking, and search systems at scale. Own architecture, model training, deployment, and serve as hands-on mentor driving production ML systems.
Open general application for computational biology, ML research, data science, software engineering, and program roles at DiffUSE, focused on protein dynamics, structural data infrastructure, and open science tooling.
Staff Data Scientist owning end-to-end analytical projects that influence product decisions, marketing campaigns, and executive strategy. Applies statistical methods, experimentation design, and AI-powered systems to improve customer lifetime value and business outcomes.
Lead the design and validation of trustworthy benchmarks and evaluations for frontier AI models, including agentic and domain-specific tasks. Own the science of evals and annotator quality, publishing research and translating findings into production datasets.
Build and maintain curated analytical datasets, data models, and executive dashboards that power metrics and self-serve analytics for data scientists, PMs, and stakeholders.
Contract Senior Data Scientist building and maintaining Marketing Mix Models and geo-based causal inference experiments to measure marketing incrementality. Requires 5+ years experience, Python/R/SQL proficiency, and strong stakeholder communication skills.
Conduct multi-omics analyses (scRNA-seq, bulk RNA-seq, proteomics, metabolomics) on organoid systems to characterize fidelity and identify biomarkers. Develop computational pipelines, integrate public datasets, and collaborate with experimental teams. Requires a PhD in bioinformatics or related field with strong R/Python skills.
Design, build, and maintain scalable Snowflake data pipelines for Product and Data Science teams, with ownership of cost optimization, performance tuning, and Streamlit dashboards.
Senior ML Engineer focused on building, deploying, and monitoring credit underwriting models. Requires 6+ years production ML experience, fintech lending knowledge, and Python/Spark proficiency.
Own end-to-end computer vision pipelines for extracting structured inventory data from clinical images using object detection, multimodal LLMs, and OCR. Requires 5+ years of CV experience and strong Python backend skills.
Design, build, and deploy computer vision and deep learning models for production applications. Requires 5+ years of ML/CV experience, strong Python and framework proficiency, and deployment on cloud/edge platforms.
Lead and manage a team of 5+ data engineers to build and operate Skillable's enterprise data platform. Drive Medallion architecture implementation using Databricks, dbt, Boomi, and Delta Lake while establishing DataOps practices and improving pipeline reliability.
Member of Technical Staff building production speech and language models for voice AI agents in financial services. Own core modeling, evals, and deployment on a small team with high autonomy and real revenue impact.
Software Engineer building data models, pipelines, and systems for measuring, monetizing, and optimizing customer lifecycle at an AI marketing platform.
Experienced AI/ML engineer building and deploying LLM/NLU systems to extract and evaluate clinical data from medical documents for healthcare payers. Focus on reliable, accurate outputs and seamless integration with backend platforms.
Own and evolve AI systems for ClickUp's voice platform including real-time transcription, LLM post-processing, and voice-to-action pipelines.
Senior individual contributor Product Data Scientist driving growth analyses, experimentation, and applied analytics for a mental health tech platform. Owns opportunity sizing, experiment design, and cross-functional insights for Product, Engineering, and Operations stakeholders.
Data Mining Analyst responsible for extracting insights from large healthcare datasets using SQL and data mining techniques. Lead small projects, create reports, and train new analysts while collaborating across departments.
Senior Data Analyst embedded with Growth, Sales, and Acquisition teams to improve marketing measurement, run experiments, build data models, and drive GTM decisions using SQL, BigQuery, and dbt.
Staff AI Engineer designing and shipping agentic AI workflows and internal productivity tools across sales, marketing, finance, and talent teams. Partner with business stakeholders to build production-grade multi-agent systems using LLMs and orchestration platforms.
Forward-deployed AI Engineer embedding with teams to build production agentic workflows, LLM applications, RAG pipelines, and MCP servers that automate work across Engineering, Operations, and Finance. Own end-to-end delivery from discovery through production monitoring on GCP.
Lead a world-class research team advancing LLM scaling, post-training, RL, and inference efficiency at Databricks AI. Drive research roadmap and translate breakthroughs into production systems while collaborating closely with engineering and product teams.
Develop and optimize large neural network-based tabular models. Profile and rewrite performance-critical components in Rust and C++ to improve efficiency, latency, and throughput for enterprise AI systems.
New grad Data Scientist role focused on model optimization and quantization for Quadric's custom GPNPU architecture. Own quantization workflows, extend quantization libraries, and build accuracy testing infrastructure. Requires strong Python/PyTorch skills and ML foundations.