Builds and trains large-scale multimodal agentic models involving reasoning, planning, coding, and tool calling. Requires strong ML foundations, PyTorch expertise, and experience with distributed training on massive datasets.
Leads applied AI investments, owning technical direction for high-impact AI products from design to production deployment. Requires 8+ years AI/ML experience, Python expertise, foundation models, LLM patterns, and evaluation systems.
Leads architecture of AI agents that convert natural language to production full-stack apps, driving multi-provider LLM strategies, tool integration, evaluation standards, and cross-team AI initiatives. Requires deep LLM expertise, prompt engineering, and scalable systems design.
Leads development of agentic AI systems for public sector, including guardrails, data processing, and fleet orchestration for federal datasets. Mentors engineers, defines technical strategy, and communicates with stakeholders to ensure reliable, secure solutions.
Develops advanced Vision-Language-Action models for robotaxi scene understanding, detecting hazards and enabling safe driving. Leads data strategies, post-training of large models, and deployment using PyTorch and production ML pipelines. Requires MS/PhD in CS and deep learning expertise.
Leads development of Reddit's large-scale GenAI Platform, including LLM Gateway, RAG applications, and agentic AI workflows. Requires 5+ years in ML/AI platform engineering with expertise in cloud, Kubernetes, and MLOps practices.
Build benchmarks, datasets, and evaluation systems to measure and improve AI model quality for fraud, identity, and risk judgment tasks. Collaborate across research, engineering, and product to drive rigorous experimentation and iteration in high-stakes environments.
Research Engineer designs evaluations, studies model failures, and builds research loops to improve AI agents for high-stakes fraud detection and judgment tasks. Requires ML training experience, experimental rigor, and strong engineering skills in adversarial environments.
Designs and implements AI agents that transform natural language into production-ready full-stack applications using state-of-the-art LLMs. Integrates multiple LLM providers, orchestrates workflows, and continuously improves agent performance through data analysis and experimentation. Requires TypeScript proficiency and hands-on LLM experience.
Senior ML Engineer optimizes inference for voice AI models (STT, TTS, speech-to-speech) using engines like TensorRT-LLM and SGLang on GPUs. Requires 5+ years ML engineering with serving/inference expertise, Python/PyTorch proficiency, and production ML experience.
Senior Data Scientist builds and deploys production ML and optimization models for Lyft's marketplace pricing, incentives, and resource allocation. Requires MS/PhD in quantitative field, 4+ years experience, Python/SQL proficiency, and first-principles reasoning.
Senior Data Scientist builds and deploys production ML and optimization models for Lyft's marketplace pricing, incentives, and resource allocation. Requires MS in quantitative field, 4+ years experience, Python/SQL proficiency, and first-principles problem-solving.
Conducts foundational research in spatial AI for residential construction, developing novel models using reinforcement learning, computer vision, LLMs, and 3D geometry. Requires 5+ years software engineering with 2+ years LLM experience, Master's degree, and expertise in PyTorch and RAG systems.
Integrates AI/ML research prototypes into production platform, bridging research and engineering teams. Builds orchestration for autonomous agents in homebuilding, works across Python backend and TypeScript/React frontend with 4+ years experience shipping AI features.
Builds and fine-tunes generative ML models for image, video, and text to create brand-aligned content. Collaborates with design, engineering, and product teams to prototype, evaluate, and deploy production APIs. Requires 5+ years ML experience with PyTorch and modern tooling.
Leads financial data workflows, transforming raw data into actionable insights via SQL, Python, and BI tools. Builds models, dashboards, and reports for executives while partnering with engineering teams. Requires 4-7 years experience, expert Excel/SQL, and finance fluency.
Lead data scientists design and execute experiments like A/B tests and causal inference to inform product and go-to-market decisions, build predictive models for forecasting and segmentation, and manage a team of analysts while shaping company strategy.
Owns end-to-end data strategy including sourcing, curating, and structuring multimodal data (text, video, images) for AI model training. Requires strong Python, SQL, large-scale processing, and ML-first mindset with LLM experience.
Build and validate an AI Chief of Staff prototype that automatically extracts, sorts, assigns, and follows up on meeting action items using LLMs, RAG, and agentic systems. Requires strong GenAI, NLP, Python backend, and productivity tool integration experience.
Conducts fundamental research on data-efficient ML architectures, including bootstrapped program synthesis and self-synthesizing learning systems. Requires Master's in ML/math, PyTorch fluency, and research experience.
Software Engineer enabling production AI workloads on new hardware platforms through porting, benchmarking, stress testing, and performance optimization. Requires 5+ years in ML systems, distributed training, PyTorch, and RDMA/NCCL expertise.
Leads health economics research, ROI analyses, and study design using econometric methods and claims data to prove digital health platform value to payers. Mentors juniors, presents to executives, and influences product strategy. Requires PhD or Master's, 6+ years experience, expert R/SQL/Python skills.
Analyzes sales performance data to forecast compensation, identify disconnects between performance and pay, and recommend improvements. Manages ICM tools for accurate quarterly payouts and builds dashboards for leadership. Requires 4+ years in sales comp/ops, SQL proficiency, and ICM expertise.
Leads data science team focused on patient acquisition, growth, marketing analytics, and product experimentation to drive consumer brand success and measurable patient impact. Requires 10+ years experience including team leadership and expertise in causal methods.
Builds scalable backend systems and deploys ML models in production for client engagements, working embedded with top clients 3-4 days/week in New York. Requires 8+ years experience in ML engineering, Python, LLMs, cloud platforms, and client-facing work.
Staff Data Scientist designs statistical frameworks and conducts robust analysis to validate safety-critical AI systems for autonomous vehicles. Delivers data-driven insights to engineering teams and leadership, scaling pipelines for petabyte-scale driving data analysis. Requires MS/PhD in quantitative field and expertise in Python, SQL, and statistical methods.
Staff Data Scientist driving financial insights, metrics frameworks, forecasting, and GAAP-compliant reporting for Headway's revenue infrastructure and RCM systems.
Develops systems for LLM interpretability and deterministic governance by working directly with model weights, activations, and architectures. Implements mechanistic interpretability techniques like activation patching and control vectors for enterprise policy enforcement in production.
Leads research in agentic AI and LLMs, developing models for enterprise reasoning, autonomous agents with tool use, and production systems. Requires PhD, expertise in LLM training/fine-tuning, agent systems, and technical leadership.
Designs and builds scalable batch/streaming data pipelines for identity verification products, owning end-to-end data initiatives using cloud-native tech. Requires 5+ years data engineering with Spark, AWS, Python/SQL; streaming/orchestration experience preferred.
Deploys and integrates Deepgram’s voice AI platform into enterprise restaurant environments, owning technical implementations, customizations, production support, and feedback to product teams. Requires strong software engineering skills across APIs, SDKs, cloud infra, and customer obsession.
Leads architecture and implementation of healthcare payer data integrations (EDI X12, HL7/FHIR) and scalable pipelines for AI/ML systems. Requires 5+ years data engineering experience with payer data and team leadership.
Staff Data Scientist owns end-to-end development of ML and Generative AI solutions for the RiskOS fraud prevention platform, from data exploration and modeling to production deployment and monitoring. Requires 6+ years experience in data science with fraud/risk focus, Python/SQL proficiency, and GenAI expertise.
Develops and improves Codex AI agents for real-world software engineering tasks, focusing on performance, reliability, and integration with research and product teams. Requires strong Python, ML/LLM experience, and skills in evaluation, prompting, and debugging production failures.
Leads AI analysis for global CIOs by researching models, products, and trends, creating evidence-backed content like frameworks, whitepapers, and keynotes to guide executive decisions on AI adoption. Requires 4+ years in analytical roles, strong writing, and deep AI knowledge.
Leads end-to-end delivery of complex healthcare analytics projects, translating business questions into data insights, managing client relationships, and driving team performance. Requires 8+ years in healthcare analytics, proficiency in SQL/Python/R, and strong project management skills.
Builds and owns production ML platform systems, turning AI research into reliable, scalable features. Partners with CTO on prototyping, observability, and end-to-end deployment of AI capabilities. Requires 3+ years experience with Python and modern ML frameworks; onsite in NYC.
Designs evaluation measures, harnesses, and datasets to assess risks from frontier AI systems, including dangerous capabilities testing. Collaborates with agencies, publishes methodologies for policymakers; requires 3+ years ML experience and publications in generative AI.
Builds analytics and AI-powered intelligence across marketing, customer signals, and support data to optimize growth, retention, and revenue. Requires 6+ years in data science focused on marketing/growth analytics, strong SQL/Python skills, and experience with LLMs for automation.
Designs and executes ROI studies using claims data and econometric methods to prove cost savings of digital MSK solutions. Analyzes large healthcare datasets with SQL/Python/R and presents findings to clients and stakeholders. Requires master's/PhD and 3-5 years experience.
Develops post-training pipelines, RLVR experiments, synthetic data generation, and large-scale LLM evaluation systems to enhance frontier language model performance in tool use, agentic behavior, and reasoning. Requires strong ML experience, coding skills, and research background.
Staff AI Engineer builds and owns quality systems for Cortex Code AI coding agents, including agent strategy, experimentation pipelines, failure analysis, and cross-team alignment. Requires 8+ years shipping AI/ML software, proficiency in Python/TypeScript/Go, and expertise in LLM evaluation harnesses.
Builds and owns end-to-end AI features for Cortex Code, including agentic workflows, context engineering, evaluations, and optimization. Requires 5+ years shipping production AI, proficiency in Python/TypeScript/Go, and bachelor's in CS or related.
Owns dashboards, insights, and metric quality to drive leadership decisions from operational data. Requires advanced SQL, BI tools, 5-8+ years in analytics, and strong cross-functional communication.
Designs, develops, and optimizes core runtime infrastructure for distributed AI training and inference using PyTorch-based stack. Requires 8+ years in systems engineering, deep learning runtimes, Python/C++, and multi-node GPU workloads.
Leads analytics for Safety & Customer Care, partnering with cross-functional teams to deliver data-driven insights, design A/B tests, build dashboards, and monitor KPIs to improve customer support. Requires 2+ years experience, SQL/Python proficiency, and quantitative degree.
Leads analytics for Safety & Customer Care, partnering with cross-functional teams to define metrics, build dashboards, design A/B tests, and deliver insights improving customer support. Requires 2+ years in data science/analytics, SQL/Python proficiency, and strong communication.
Leads development and architecture of client-facing data platform using Palantir Foundry in a low/no-code environment. Collaborates with Product and Design teams, applies software engineering best practices, and requires 7+ years experience with bachelor's in quantitative field.
Designs, trains, deploys, and iterates on custom ML models powering search, matching, recommendations, and automations for a fintech platform. Requires strong Python, production ML experience, advanced techniques like fine-tuning and RL, and ability to handle ambiguous problems.
Build in-house tooling for post-training custom ML models using advanced techniques like RL and finetuning. Requires deep expertise in transformer training, PyTorch distributed systems, parallelism strategies, GPU performance optimization, and HPC platforms.
Builds and trains large-scale multimodal agentic models involving reasoning, planning, coding, and tool calling. Requires strong ML foundations, PyTorch expertise, and experience with distributed training on massive datasets.
Leads applied AI investments, owning technical direction for high-impact AI products from design to production deployment. Requires 8+ years AI/ML experience, Python expertise, foundation models, LLM patterns, and evaluation systems.
Leads architecture of AI agents that convert natural language to production full-stack apps, driving multi-provider LLM strategies, tool integration, evaluation standards, and cross-team AI initiatives. Requires deep LLM expertise, prompt engineering, and scalable systems design.
Leads development of agentic AI systems for public sector, including guardrails, data processing, and fleet orchestration for federal datasets. Mentors engineers, defines technical strategy, and communicates with stakeholders to ensure reliable, secure solutions.
Develops advanced Vision-Language-Action models for robotaxi scene understanding, detecting hazards and enabling safe driving. Leads data strategies, post-training of large models, and deployment using PyTorch and production ML pipelines. Requires MS/PhD in CS and deep learning expertise.
Leads development of Reddit's large-scale GenAI Platform, including LLM Gateway, RAG applications, and agentic AI workflows. Requires 5+ years in ML/AI platform engineering with expertise in cloud, Kubernetes, and MLOps practices.
Build benchmarks, datasets, and evaluation systems to measure and improve AI model quality for fraud, identity, and risk judgment tasks. Collaborate across research, engineering, and product to drive rigorous experimentation and iteration in high-stakes environments.
Research Engineer designs evaluations, studies model failures, and builds research loops to improve AI agents for high-stakes fraud detection and judgment tasks. Requires ML training experience, experimental rigor, and strong engineering skills in adversarial environments.
Designs and implements AI agents that transform natural language into production-ready full-stack applications using state-of-the-art LLMs. Integrates multiple LLM providers, orchestrates workflows, and continuously improves agent performance through data analysis and experimentation. Requires TypeScript proficiency and hands-on LLM experience.
Senior ML Engineer optimizes inference for voice AI models (STT, TTS, speech-to-speech) using engines like TensorRT-LLM and SGLang on GPUs. Requires 5+ years ML engineering with serving/inference expertise, Python/PyTorch proficiency, and production ML experience.
Senior Data Scientist builds and deploys production ML and optimization models for Lyft's marketplace pricing, incentives, and resource allocation. Requires MS/PhD in quantitative field, 4+ years experience, Python/SQL proficiency, and first-principles reasoning.
Senior Data Scientist builds and deploys production ML and optimization models for Lyft's marketplace pricing, incentives, and resource allocation. Requires MS in quantitative field, 4+ years experience, Python/SQL proficiency, and first-principles problem-solving.
Conducts foundational research in spatial AI for residential construction, developing novel models using reinforcement learning, computer vision, LLMs, and 3D geometry. Requires 5+ years software engineering with 2+ years LLM experience, Master's degree, and expertise in PyTorch and RAG systems.
Integrates AI/ML research prototypes into production platform, bridging research and engineering teams. Builds orchestration for autonomous agents in homebuilding, works across Python backend and TypeScript/React frontend with 4+ years experience shipping AI features.
Builds and fine-tunes generative ML models for image, video, and text to create brand-aligned content. Collaborates with design, engineering, and product teams to prototype, evaluate, and deploy production APIs. Requires 5+ years ML experience with PyTorch and modern tooling.
Leads financial data workflows, transforming raw data into actionable insights via SQL, Python, and BI tools. Builds models, dashboards, and reports for executives while partnering with engineering teams. Requires 4-7 years experience, expert Excel/SQL, and finance fluency.
Lead data scientists design and execute experiments like A/B tests and causal inference to inform product and go-to-market decisions, build predictive models for forecasting and segmentation, and manage a team of analysts while shaping company strategy.
Owns end-to-end data strategy including sourcing, curating, and structuring multimodal data (text, video, images) for AI model training. Requires strong Python, SQL, large-scale processing, and ML-first mindset with LLM experience.
Build and validate an AI Chief of Staff prototype that automatically extracts, sorts, assigns, and follows up on meeting action items using LLMs, RAG, and agentic systems. Requires strong GenAI, NLP, Python backend, and productivity tool integration experience.
Conducts fundamental research on data-efficient ML architectures, including bootstrapped program synthesis and self-synthesizing learning systems. Requires Master's in ML/math, PyTorch fluency, and research experience.
Software Engineer enabling production AI workloads on new hardware platforms through porting, benchmarking, stress testing, and performance optimization. Requires 5+ years in ML systems, distributed training, PyTorch, and RDMA/NCCL expertise.
Leads health economics research, ROI analyses, and study design using econometric methods and claims data to prove digital health platform value to payers. Mentors juniors, presents to executives, and influences product strategy. Requires PhD or Master's, 6+ years experience, expert R/SQL/Python skills.
Analyzes sales performance data to forecast compensation, identify disconnects between performance and pay, and recommend improvements. Manages ICM tools for accurate quarterly payouts and builds dashboards for leadership. Requires 4+ years in sales comp/ops, SQL proficiency, and ICM expertise.
Leads data science team focused on patient acquisition, growth, marketing analytics, and product experimentation to drive consumer brand success and measurable patient impact. Requires 10+ years experience including team leadership and expertise in causal methods.
Builds scalable backend systems and deploys ML models in production for client engagements, working embedded with top clients 3-4 days/week in New York. Requires 8+ years experience in ML engineering, Python, LLMs, cloud platforms, and client-facing work.
Staff Data Scientist designs statistical frameworks and conducts robust analysis to validate safety-critical AI systems for autonomous vehicles. Delivers data-driven insights to engineering teams and leadership, scaling pipelines for petabyte-scale driving data analysis. Requires MS/PhD in quantitative field and expertise in Python, SQL, and statistical methods.
Staff Data Scientist driving financial insights, metrics frameworks, forecasting, and GAAP-compliant reporting for Headway's revenue infrastructure and RCM systems.
Develops systems for LLM interpretability and deterministic governance by working directly with model weights, activations, and architectures. Implements mechanistic interpretability techniques like activation patching and control vectors for enterprise policy enforcement in production.
Leads research in agentic AI and LLMs, developing models for enterprise reasoning, autonomous agents with tool use, and production systems. Requires PhD, expertise in LLM training/fine-tuning, agent systems, and technical leadership.
Designs and builds scalable batch/streaming data pipelines for identity verification products, owning end-to-end data initiatives using cloud-native tech. Requires 5+ years data engineering with Spark, AWS, Python/SQL; streaming/orchestration experience preferred.
Deploys and integrates Deepgram’s voice AI platform into enterprise restaurant environments, owning technical implementations, customizations, production support, and feedback to product teams. Requires strong software engineering skills across APIs, SDKs, cloud infra, and customer obsession.
Leads architecture and implementation of healthcare payer data integrations (EDI X12, HL7/FHIR) and scalable pipelines for AI/ML systems. Requires 5+ years data engineering experience with payer data and team leadership.
Staff Data Scientist owns end-to-end development of ML and Generative AI solutions for the RiskOS fraud prevention platform, from data exploration and modeling to production deployment and monitoring. Requires 6+ years experience in data science with fraud/risk focus, Python/SQL proficiency, and GenAI expertise.
Develops and improves Codex AI agents for real-world software engineering tasks, focusing on performance, reliability, and integration with research and product teams. Requires strong Python, ML/LLM experience, and skills in evaluation, prompting, and debugging production failures.
Leads AI analysis for global CIOs by researching models, products, and trends, creating evidence-backed content like frameworks, whitepapers, and keynotes to guide executive decisions on AI adoption. Requires 4+ years in analytical roles, strong writing, and deep AI knowledge.
Leads end-to-end delivery of complex healthcare analytics projects, translating business questions into data insights, managing client relationships, and driving team performance. Requires 8+ years in healthcare analytics, proficiency in SQL/Python/R, and strong project management skills.
Builds and owns production ML platform systems, turning AI research into reliable, scalable features. Partners with CTO on prototyping, observability, and end-to-end deployment of AI capabilities. Requires 3+ years experience with Python and modern ML frameworks; onsite in NYC.
Designs evaluation measures, harnesses, and datasets to assess risks from frontier AI systems, including dangerous capabilities testing. Collaborates with agencies, publishes methodologies for policymakers; requires 3+ years ML experience and publications in generative AI.
Builds analytics and AI-powered intelligence across marketing, customer signals, and support data to optimize growth, retention, and revenue. Requires 6+ years in data science focused on marketing/growth analytics, strong SQL/Python skills, and experience with LLMs for automation.
Designs and executes ROI studies using claims data and econometric methods to prove cost savings of digital MSK solutions. Analyzes large healthcare datasets with SQL/Python/R and presents findings to clients and stakeholders. Requires master's/PhD and 3-5 years experience.
Develops post-training pipelines, RLVR experiments, synthetic data generation, and large-scale LLM evaluation systems to enhance frontier language model performance in tool use, agentic behavior, and reasoning. Requires strong ML experience, coding skills, and research background.
Staff AI Engineer builds and owns quality systems for Cortex Code AI coding agents, including agent strategy, experimentation pipelines, failure analysis, and cross-team alignment. Requires 8+ years shipping AI/ML software, proficiency in Python/TypeScript/Go, and expertise in LLM evaluation harnesses.
Builds and owns end-to-end AI features for Cortex Code, including agentic workflows, context engineering, evaluations, and optimization. Requires 5+ years shipping production AI, proficiency in Python/TypeScript/Go, and bachelor's in CS or related.
Owns dashboards, insights, and metric quality to drive leadership decisions from operational data. Requires advanced SQL, BI tools, 5-8+ years in analytics, and strong cross-functional communication.
Designs, develops, and optimizes core runtime infrastructure for distributed AI training and inference using PyTorch-based stack. Requires 8+ years in systems engineering, deep learning runtimes, Python/C++, and multi-node GPU workloads.
Leads analytics for Safety & Customer Care, partnering with cross-functional teams to deliver data-driven insights, design A/B tests, build dashboards, and monitor KPIs to improve customer support. Requires 2+ years experience, SQL/Python proficiency, and quantitative degree.
Leads analytics for Safety & Customer Care, partnering with cross-functional teams to define metrics, build dashboards, design A/B tests, and deliver insights improving customer support. Requires 2+ years in data science/analytics, SQL/Python proficiency, and strong communication.
Leads development and architecture of client-facing data platform using Palantir Foundry in a low/no-code environment. Collaborates with Product and Design teams, applies software engineering best practices, and requires 7+ years experience with bachelor's in quantitative field.
Designs, trains, deploys, and iterates on custom ML models powering search, matching, recommendations, and automations for a fintech platform. Requires strong Python, production ML experience, advanced techniques like fine-tuning and RL, and ability to handle ambiguous problems.
Build in-house tooling for post-training custom ML models using advanced techniques like RL and finetuning. Requires deep expertise in transformer training, PyTorch distributed systems, parallelism strategies, GPU performance optimization, and HPC platforms.