Senior AI Engineer builds, trains, deploys, and operates character AI agents at scale, managing LLM/SLM pipelines, social platform integrations, and feedback loops. Requires 5+ years in backend/ML engineering with production AI deployment experience.
Research Engineer on the Code RL team advancing AI models' ability to write efficient code for accelerators. Requires deep expertise in accelerators like CUDA/ROCm and ML frameworks like JAX/PyTorch, plus experience across kernels, model code, and distributed systems.
Conducts research in applied category theory to formalize semantics of probabilistic DSLs and develop models for real-world phenomena like relationships, dynamical systems, and natural language. Requires PhD-level expertise in category theory and functional programming skills.
Develops and trains advanced AI models to tackle critical challenges in truth-seeking AI systems. Requires deep passion for building useful models and power user experience with AI; prior large-scale training experience preferred.
Build distributed data storage and processing systems for big data workloads including Apache Spark, Delta Lake, and performance optimization. Requires 5+ years in Java/Scala/C++, strong algorithms knowledge, and distributed systems experience.
Develops and deploys production machine learning models for underwriting small business loans, focusing on risk assessment, pricing optimization, and automated systems. Requires strong statistical reasoning, ML expertise, engineering skills, and business acumen.
Staff Data Scientist owns company-wide data strategy, experimentation framework, metric forecasting, and ML modeling at a social AI product studio. Requires 7+ years experience, deep SQL/Python fluency, and proactive product partnership across millions of users.
Builds and owns scalable SQL/Python data pipelines, golden datasets, and workflows using DBT, Airflow, Redshift for large-scale data (500TB+). Collaborates cross-functionally to enable data-driven decisions at Plaid. Requires 4+ years data engineering experience.
Builds and scales data infrastructure including warehouses, lakehouses, Spark pipelines, streaming, and orchestration to enable data-driven decisions and ML at Plaid. Requires 5+ years experience in data platforms, strong system design, and leadership.
Designs methods, systems, and experiments for AI controls and monitoring to ensure alignment in high-stakes environments, including real-time tracking, fail-safes, and red-team simulations. Requires 3+ years ML experience, published research in generative AI, and strong prototyping skills.
Research Scientist focuses on agent robustness, developing tests, exploits, and mitigations for safe AI agents. Requires 3+ years ML experience, RL techniques like RLHF/DPO, and published research in generative AI.
Develops multimodal AI models focused on image, video, and audio for high-fidelity generation, understanding, and agentic systems. Drives data curation, training, evaluation, and production integration of cutting-edge models.
Builds and manages platforms for AI model lifecycles, focusing on fine-tuning, training pipelines, and reinforcement learning for LLMs. Requires 8+ years in AI, advanced degree, and hands-on experience with generative AI techniques.
Leads high-impact modeling initiatives building production-ready forecasting systems for financial metrics like revenue and customer behavior using advanced ML and statistical techniques. Requires 8+ years experience, advanced degree, and expertise in Python, SQL, and time-series/probabilistic modeling.
Builds and maintains platforms for fine-tuning, training, and managing LLMs including reinforcement learning pipelines and multi-node orchestration. Requires 4+ years in AI, hands-on LLM experience, and advanced degree in CS/Engineering.
Supports GTM strategy optimization as analytical partner to Enterprise sales leaders, handling planning models, forecasting, reporting, KPIs, and process improvements using Salesforce and SQL. Requires 3-5+ years in revenue operations or sales with strong analytical skills.
Designs and maintains near real-time data streaming platforms, data pipelines, and event-driven architectures. Requires advanced Python, SQL expertise, and 3+ years in software engineering focused on data systems.
Leads development of high-performance inference systems for large-scale AI models, optimizing execution paths, distributed GPU inference, and operators. Partners with research teams to enable efficient exploration of new architectures grounded in real scalability constraints.
Leads empirical research and data analysis for ambient AI in healthcare, building data pipelines, validating metrics, and conducting causal studies on real-world clinical data. Requires 8+ years in SQL/Python/R and 3+ years in research settings.
Builds and manages end-to-end training pipelines for Large Language Models, including fine-tuning systems with SFT, PEFT, LoRA, and reinforcement learning techniques. Requires 8+ years in AI, hands-on LLM experience, and advanced degree in CS/Engineering.
Build and optimize machine learning models to predict and enhance promotional performance for music tracks globally. Collaborate with data and ML teams to productionize scalable systems using Python, TensorFlow, PyTorch, and GCP.
As Director, Data Science, you will lead and mentor data scientists, guiding multiple data science projects involving statistical modeling, experiment design, and classifier implementation. You will drive product and business impact by fostering a data-driven culture and developing strategies for actionable insights.
Staff Software Engineer designs and builds scalable data platforms for ads, ensuring data compliance, integrity, and self-service capabilities. Requires 8+ years experience with expertise in Spark, ETL, SQL, distributed systems, and big data infrastructure.
Owns the data platform powering AI-driven healthcare automation, designing core data models, building compliant data layers for AI agents, and ensuring scalability and reliability on AWS, Postgres, and Python stack. Requires 5+ years backend/data infra experience and deep relational DB expertise.
Lead data science efforts in monetization by designing experiments, building models for ad pricing and supply, and analyzing trade-offs in ads ecosystem metrics. Requires 5+ years experience, stats expertise, and proficiency in Python/SQL.
Builds and scales internal data platform by designing data models, pipelines, and analytics infrastructure to transform raw product/business data into reliable datasets for company-wide decision-making. Partners with stakeholders across Product, Engineering, Finance, Marketing, and Sales.
Leads development of large-scale ML platforms, focusing on MLOps, graph ML infrastructure, performance optimization, and distributed training pipelines. Requires 8+ years in ML infrastructure with expertise in Python, PyTorch, Kubernetes, Ray, and cloud tools.
Leads development of large-scale ML platforms, focusing on MLOps, graph ML infrastructure, performance tuning, and distributed training optimization. Requires 5+ years in ML infrastructure with expertise in PyTorch, Kubernetes, Ray, and cloud tools.
Leads strategic data analysis and storytelling for brand lift and media measurement studies, partnering with customers to deliver actionable insights and drive business outcomes. Requires strong analytical, communication, and project leadership skills.
Conducts research on post-training methodologies and performant inference for AI models, balancing pure research with applied work for production systems. Requires PhD in ML with top publications and ability to design rigorous experiments at scale.
Partners with business teams to identify AI automation opportunities, designs and ships production AI solutions using agentic frameworks and Python, ensures responsible AI practices, and drives adoption. Requires software engineering foundation, hands-on AI delivery, and business acumen.
Deploys state-of-the-art ML models and fine-tunes LLMs in production to enhance platform integrity and safety against adversarial threats. Requires Master's/PhD, deep learning expertise, PyTorch/TensorFlow proficiency.
Staff ML Engineer owns foundational model research and end-to-end quality improvements for clinical AI products like coding models, adaptive scribing, and chart understanding. Requires 5+ years ML experience with deep RL/deep learning expertise and production shipping track record.
Develop voice AI models for natural, low-latency spoken interactions on the Grok team. Handle data pipelines, model training with JAX/PyTorch, evaluations, and product integrations. Requires Python expertise, large-scale data processing, and distributed systems experience.
Own and evolve the core data platform powering Plenful’s AI automation engine. Design data models, contracts, and infrastructure for a regulated healthcare domain with 12+ years of backend/data experience.
Leads architecture, execution, and improvement of data collection/evaluation pipelines for AI labs, including agentic automation for quality and delivery. Requires Python/SQL proficiency, LLM internals knowledge, and hands-on agent framework experience.
Analyzes marketing campaign performance, develops dashboards, and provides data-driven insights to optimize media spend and growth strategy for the Growth Marketing team. Requires 4+ years in analytics, SQL proficiency, and experience with paid media channels.
Senior Data Scientist optimizes product performance and supports new initiatives through data analysis, working with cross-functional teams to deliver actionable insights using SQL, Python, and analytics tools.
Build and maintain ML evaluation benchmarks and metrics to identify model weaknesses on unstructured enterprise data like PDFs and spreadsheets. Collaborate with ML teams to drive improvements using Python tools and data infrastructure.
Staff Data Scientist owns advertising measurement, identity resolution, and signal quality using advanced stats and ML. Requires advanced degree, 6-10+ years experience, ads expertise, Python/R/SQL proficiency.
Conducts research on efficient AI systems focusing on real-time adaptation, model efficiency, and cross-stack optimization. Requires PhD or equivalent, 4-5+ years industry experience, and deep ML expertise including PyTorch/JAX and optimization techniques.
Data Analyst II enhances operational tracking and reporting for Sales, Operations, Product, and Finance teams using SQL, Python, and BI tools like Looker and Hex. Drives insights through dashboards, ad-hoc analyses, and self-service tools in fintech. Requires 3+ years experience.
Senior Data Analyst owns end-to-end analytics for business areas, building dashboards, writing SQL/Python code, and delivering insights to leadership. Requires 5+ years experience, advanced SQL/Python, BI tools, and stakeholder management in a hybrid NY role.
Owns end-to-end analytics lifecycle for business areas, building dashboards, writing SQL/Python code, and delivering insights to leadership. Requires 5+ years experience, advanced SQL/Python, BI tools, and stakeholder management in a hybrid SF role.
Data Analyst II enhances operational tracking and reporting for Sales, Operations, Product, and Finance teams using SQL, Python, and BI tools like Looker and Hex. Drives insights through dashboards, ad-hoc analyses, and self-service tools in a hybrid fintech role.
Builds scalable ML training systems and infrastructure for speech AI models (STT/TTS), prototypes novel ideas with researchers, and creates internal tools for cross-functional teams. Requires strong ML research pipeline experience, especially in speech domains, plus orchestration tools expertise.
Senior ML Engineer builds scalable ETL pipelines, develops ML infrastructure for training/evaluation/inference on cloud/edge, and integrates CV models for analyzing farm images from tractor cameras. Requires 5+ years experience with Python, PyTorch/TensorFlow, data engineering tools, and cloud platforms.
Build scalable ETL pipelines and ML infrastructure for processing massive farm image datasets from tractor-mounted cameras. Develop edge-deployed computer vision models for yield estimation, disease detection, and crop analysis using PyTorch and cloud tools, with 2+ years experience.
Lead development of Context Hub, an open-source CLI for AI agents to access up-to-date API docs. Own technical direction, build infrastructure for intelligent retrieval and community features, requiring 3+ years experience, TypeScript/Node.js proficiency, and strong LLM/AI agent knowledge.
Technical lead evaluating hardware platforms and co-designing transformer models for on-device deployment. Leads team building low-level inference stack, optimizing for latency, memory, and power constraints. Requires deep experience with accelerators, transformers, and performance-critical ML software.
Senior AI Engineer builds, trains, deploys, and operates character AI agents at scale, managing LLM/SLM pipelines, social platform integrations, and feedback loops. Requires 5+ years in backend/ML engineering with production AI deployment experience.
Research Engineer on the Code RL team advancing AI models' ability to write efficient code for accelerators. Requires deep expertise in accelerators like CUDA/ROCm and ML frameworks like JAX/PyTorch, plus experience across kernels, model code, and distributed systems.
Conducts research in applied category theory to formalize semantics of probabilistic DSLs and develop models for real-world phenomena like relationships, dynamical systems, and natural language. Requires PhD-level expertise in category theory and functional programming skills.
Develops and trains advanced AI models to tackle critical challenges in truth-seeking AI systems. Requires deep passion for building useful models and power user experience with AI; prior large-scale training experience preferred.
Build distributed data storage and processing systems for big data workloads including Apache Spark, Delta Lake, and performance optimization. Requires 5+ years in Java/Scala/C++, strong algorithms knowledge, and distributed systems experience.
Develops and deploys production machine learning models for underwriting small business loans, focusing on risk assessment, pricing optimization, and automated systems. Requires strong statistical reasoning, ML expertise, engineering skills, and business acumen.
Staff Data Scientist owns company-wide data strategy, experimentation framework, metric forecasting, and ML modeling at a social AI product studio. Requires 7+ years experience, deep SQL/Python fluency, and proactive product partnership across millions of users.
Builds and owns scalable SQL/Python data pipelines, golden datasets, and workflows using DBT, Airflow, Redshift for large-scale data (500TB+). Collaborates cross-functionally to enable data-driven decisions at Plaid. Requires 4+ years data engineering experience.
Builds and scales data infrastructure including warehouses, lakehouses, Spark pipelines, streaming, and orchestration to enable data-driven decisions and ML at Plaid. Requires 5+ years experience in data platforms, strong system design, and leadership.
Designs methods, systems, and experiments for AI controls and monitoring to ensure alignment in high-stakes environments, including real-time tracking, fail-safes, and red-team simulations. Requires 3+ years ML experience, published research in generative AI, and strong prototyping skills.
Research Scientist focuses on agent robustness, developing tests, exploits, and mitigations for safe AI agents. Requires 3+ years ML experience, RL techniques like RLHF/DPO, and published research in generative AI.
Develops multimodal AI models focused on image, video, and audio for high-fidelity generation, understanding, and agentic systems. Drives data curation, training, evaluation, and production integration of cutting-edge models.
Builds and manages platforms for AI model lifecycles, focusing on fine-tuning, training pipelines, and reinforcement learning for LLMs. Requires 8+ years in AI, advanced degree, and hands-on experience with generative AI techniques.
Leads high-impact modeling initiatives building production-ready forecasting systems for financial metrics like revenue and customer behavior using advanced ML and statistical techniques. Requires 8+ years experience, advanced degree, and expertise in Python, SQL, and time-series/probabilistic modeling.
Builds and maintains platforms for fine-tuning, training, and managing LLMs including reinforcement learning pipelines and multi-node orchestration. Requires 4+ years in AI, hands-on LLM experience, and advanced degree in CS/Engineering.
Supports GTM strategy optimization as analytical partner to Enterprise sales leaders, handling planning models, forecasting, reporting, KPIs, and process improvements using Salesforce and SQL. Requires 3-5+ years in revenue operations or sales with strong analytical skills.
Designs and maintains near real-time data streaming platforms, data pipelines, and event-driven architectures. Requires advanced Python, SQL expertise, and 3+ years in software engineering focused on data systems.
Leads development of high-performance inference systems for large-scale AI models, optimizing execution paths, distributed GPU inference, and operators. Partners with research teams to enable efficient exploration of new architectures grounded in real scalability constraints.
Leads empirical research and data analysis for ambient AI in healthcare, building data pipelines, validating metrics, and conducting causal studies on real-world clinical data. Requires 8+ years in SQL/Python/R and 3+ years in research settings.
Builds and manages end-to-end training pipelines for Large Language Models, including fine-tuning systems with SFT, PEFT, LoRA, and reinforcement learning techniques. Requires 8+ years in AI, hands-on LLM experience, and advanced degree in CS/Engineering.
Build and optimize machine learning models to predict and enhance promotional performance for music tracks globally. Collaborate with data and ML teams to productionize scalable systems using Python, TensorFlow, PyTorch, and GCP.
As Director, Data Science, you will lead and mentor data scientists, guiding multiple data science projects involving statistical modeling, experiment design, and classifier implementation. You will drive product and business impact by fostering a data-driven culture and developing strategies for actionable insights.
Staff Software Engineer designs and builds scalable data platforms for ads, ensuring data compliance, integrity, and self-service capabilities. Requires 8+ years experience with expertise in Spark, ETL, SQL, distributed systems, and big data infrastructure.
Owns the data platform powering AI-driven healthcare automation, designing core data models, building compliant data layers for AI agents, and ensuring scalability and reliability on AWS, Postgres, and Python stack. Requires 5+ years backend/data infra experience and deep relational DB expertise.
Lead data science efforts in monetization by designing experiments, building models for ad pricing and supply, and analyzing trade-offs in ads ecosystem metrics. Requires 5+ years experience, stats expertise, and proficiency in Python/SQL.
Builds and scales internal data platform by designing data models, pipelines, and analytics infrastructure to transform raw product/business data into reliable datasets for company-wide decision-making. Partners with stakeholders across Product, Engineering, Finance, Marketing, and Sales.
Leads development of large-scale ML platforms, focusing on MLOps, graph ML infrastructure, performance optimization, and distributed training pipelines. Requires 8+ years in ML infrastructure with expertise in Python, PyTorch, Kubernetes, Ray, and cloud tools.
Leads development of large-scale ML platforms, focusing on MLOps, graph ML infrastructure, performance tuning, and distributed training optimization. Requires 5+ years in ML infrastructure with expertise in PyTorch, Kubernetes, Ray, and cloud tools.
Leads strategic data analysis and storytelling for brand lift and media measurement studies, partnering with customers to deliver actionable insights and drive business outcomes. Requires strong analytical, communication, and project leadership skills.
Conducts research on post-training methodologies and performant inference for AI models, balancing pure research with applied work for production systems. Requires PhD in ML with top publications and ability to design rigorous experiments at scale.
Partners with business teams to identify AI automation opportunities, designs and ships production AI solutions using agentic frameworks and Python, ensures responsible AI practices, and drives adoption. Requires software engineering foundation, hands-on AI delivery, and business acumen.
Deploys state-of-the-art ML models and fine-tunes LLMs in production to enhance platform integrity and safety against adversarial threats. Requires Master's/PhD, deep learning expertise, PyTorch/TensorFlow proficiency.
Staff ML Engineer owns foundational model research and end-to-end quality improvements for clinical AI products like coding models, adaptive scribing, and chart understanding. Requires 5+ years ML experience with deep RL/deep learning expertise and production shipping track record.
Develop voice AI models for natural, low-latency spoken interactions on the Grok team. Handle data pipelines, model training with JAX/PyTorch, evaluations, and product integrations. Requires Python expertise, large-scale data processing, and distributed systems experience.
Own and evolve the core data platform powering Plenful’s AI automation engine. Design data models, contracts, and infrastructure for a regulated healthcare domain with 12+ years of backend/data experience.
Leads architecture, execution, and improvement of data collection/evaluation pipelines for AI labs, including agentic automation for quality and delivery. Requires Python/SQL proficiency, LLM internals knowledge, and hands-on agent framework experience.
Analyzes marketing campaign performance, develops dashboards, and provides data-driven insights to optimize media spend and growth strategy for the Growth Marketing team. Requires 4+ years in analytics, SQL proficiency, and experience with paid media channels.
Senior Data Scientist optimizes product performance and supports new initiatives through data analysis, working with cross-functional teams to deliver actionable insights using SQL, Python, and analytics tools.
Build and maintain ML evaluation benchmarks and metrics to identify model weaknesses on unstructured enterprise data like PDFs and spreadsheets. Collaborate with ML teams to drive improvements using Python tools and data infrastructure.
Staff Data Scientist owns advertising measurement, identity resolution, and signal quality using advanced stats and ML. Requires advanced degree, 6-10+ years experience, ads expertise, Python/R/SQL proficiency.
Conducts research on efficient AI systems focusing on real-time adaptation, model efficiency, and cross-stack optimization. Requires PhD or equivalent, 4-5+ years industry experience, and deep ML expertise including PyTorch/JAX and optimization techniques.
Data Analyst II enhances operational tracking and reporting for Sales, Operations, Product, and Finance teams using SQL, Python, and BI tools like Looker and Hex. Drives insights through dashboards, ad-hoc analyses, and self-service tools in fintech. Requires 3+ years experience.
Senior Data Analyst owns end-to-end analytics for business areas, building dashboards, writing SQL/Python code, and delivering insights to leadership. Requires 5+ years experience, advanced SQL/Python, BI tools, and stakeholder management in a hybrid NY role.
Owns end-to-end analytics lifecycle for business areas, building dashboards, writing SQL/Python code, and delivering insights to leadership. Requires 5+ years experience, advanced SQL/Python, BI tools, and stakeholder management in a hybrid SF role.
Data Analyst II enhances operational tracking and reporting for Sales, Operations, Product, and Finance teams using SQL, Python, and BI tools like Looker and Hex. Drives insights through dashboards, ad-hoc analyses, and self-service tools in a hybrid fintech role.
Builds scalable ML training systems and infrastructure for speech AI models (STT/TTS), prototypes novel ideas with researchers, and creates internal tools for cross-functional teams. Requires strong ML research pipeline experience, especially in speech domains, plus orchestration tools expertise.
Senior ML Engineer builds scalable ETL pipelines, develops ML infrastructure for training/evaluation/inference on cloud/edge, and integrates CV models for analyzing farm images from tractor cameras. Requires 5+ years experience with Python, PyTorch/TensorFlow, data engineering tools, and cloud platforms.
Build scalable ETL pipelines and ML infrastructure for processing massive farm image datasets from tractor-mounted cameras. Develop edge-deployed computer vision models for yield estimation, disease detection, and crop analysis using PyTorch and cloud tools, with 2+ years experience.
Lead development of Context Hub, an open-source CLI for AI agents to access up-to-date API docs. Own technical direction, build infrastructure for intelligent retrieval and community features, requiring 3+ years experience, TypeScript/Node.js proficiency, and strong LLM/AI agent knowledge.
Technical lead evaluating hardware platforms and co-designing transformer models for on-device deployment. Leads team building low-level inference stack, optimizing for latency, memory, and power constraints. Requires deep experience with accelerators, transformers, and performance-critical ML software.