Leads key research projects in statistical machine learning for financial market prediction and portfolio optimization, from basic research to production deployment. Requires 5+ years experience, PhD-level expertise, strong ML/math skills, and Python/R proficiency.
Build and operate ML systems that process raw signals into reliable decisions across device, cloud, and offline environments for high-stakes cyber-physical security. Requires 5-10 years experience with production ML/LLM deployment, strong Python plus Go/TS, and system design expertise.
Build and deploy AI systems for legal workflows, fine-tuning models on domain-specific data, advancing reasoning capabilities, and integrating with product features. Requires Bachelor's/Master's in ML/AI/CS and proven production ML experience.
Leads development and productionization of scalable ML systems, real-time inference services, feature stores, and MLOps pipelines to enhance betting metrics and platform integrity. Requires 7+ years ML/Backend experience, streaming architectures, and GCP expertise.
Builds custom production-grade ML solutions for customer problems by identifying platform gaps, implementing fixes, and owning outcomes from discovery to deployment. Requires 4+ years experience including customer-facing roles, strong ML frameworks knowledge, and data modeling expertise.
Builds autonomous AI agents and platform infrastructure for customer support, enhancing LLM performance with RAG techniques, scaling systems with Golang, and integrating STT/TTS. Requires 5+ years software engineering experience with LLMs.
Designs and implements AI/ML and scientific computing workloads on wafer-scale hardware to set performance benchmarks. Leads algorithm-hardware co-design, builds performance models, and contributes to technology roadmap with publications in top venues. PhD preferred in CS, Engineering, or related field.
Leads new ML research team focusing on post-training/RL, dataset optimization, LLM pretraining, sparsity, and domain-specific agents. Adapts algorithms for Cerebras hardware, builds teams, and collaborates on hardware/software design. Requires PhD and ML leadership experience.
Leads pre-training and post-training of action-conditioned world models and VLA models for physical AI applications. Requires PyTorch expertise, distributed training, and ML fundamentals; robotics background preferred.
Develops and productionizes AI/ML models and pipelines at scale for Airbnb's agentic growth platform, powering personalized content generation, decisioning, and proactive marketing agents. Requires 12+ years experience, strong programming, and expertise in ML best practices and tools like PyTorch and Kubernetes.
Leads automation and evaluation programs for AI Operations, architecting scalable workflows with LLMs, datasets, and quality systems. Requires 5+ years leading complex AI initiatives, cross-functional influence, and metrics-driven impact; familiarity with data pipelines preferred.
Owns evaluation frameworks, datasets, and automations to enhance AI system performance in operations. Requires 3+ years experience with AI tools, LLM workflows, scripting (SQL/Python), and driving ambiguous tasks to execution.
Leads machine learning team developing conversion models for Reddit Ads, focusing on predictive modeling for user actions like purchases and signups. Requires deep ML expertise, ads domain knowledge, and 2+ years managing high-performing ML teams.
Conducts ML research on LLMs and audio models to enhance real-time voice agents' reasoning, latency, and conversational quality. Prototypes models, designs evaluations, and bridges research to production systems requiring strong PyTorch expertise and experimental mindset.
Build simulation environments, tasks, and verifiers to train and evaluate long-horizon autonomous AI agents using reinforcement learning. Requires strong engineering fundamentals, high agency, and focus on robust systems.
Senior ML Engineer designs and drives responsible AI projects to mitigate bias in Pinterest's ML applications, including GenAI evaluations and fairness tooling. Requires 4+ years in large-scale ML production, expertise in transformers/LLMs, and Master's/PhD.
Owns end-to-end ML research initiatives developing novel architectures, training methods, and evaluation for clinical intelligence using longitudinal patient data. Requires strong ML foundation, PyTorch experience, and ability to drive ambiguous high-stakes problems to validated results.
Owns end-to-end production ML systems for clinical workflows, including training/fine-tuning LLMs for medical reasoning and question answering. Requires strong ML/software engineering, PyTorch experience, and ability to handle high-stakes ambiguity with real patient impact.
Designs datasets, evaluation rubrics, and reward signals for RLHF/RLVR pipelines to expose model failure modes and improve frontier AI capabilities. Partners with AI labs; requires 1-4 YOE and passion for data-driven model behavior.
Founding Engineer builds knowledge engines, multimodal agents, voice AI, and codegen systems for complex physical product support. Owns end-to-end customer deployments in fast-paced startup environment.
Optimizes and deploys large-scale AI models (LLMs, VLMs) for real-time inference on power-constrained vehicle hardware. Requires expertise in quantization, TensorRT compilation, custom CUDA kernels, and production C++/Python for edge devices.
Develops and deploys deep learning models for motion planning and behavioral prediction in autonomous vehicles using petabytes of driving data. Requires strong Python, PyTorch/TensorFlow expertise, full ML lifecycle experience, and C++ for real-time inference.
Develops, optimizes, and deploys deep learning models for autonomous vehicles and robots, managing large datasets and training pipelines. Requires 3+ years experience with PyTorch/TensorFlow, Python, and expertise in computer vision or LLMs.
Fellows develop and optimize ML systems and performance infrastructure for AI models, focusing on scaling, efficiency, and reliability in a remote-friendly program.
Senior ML Engineer applies operations research, combinatorial optimization, and AI to solve logistics challenges like order batching, shopper routing, and real-time assignment. Requires master's/PhD in OR/Industrial Engineering, 3+ years ML experience with Python, SQL, and ML frameworks.
Builds and deploys production AI features like Notebook Agent for data science workflows, partnering with product teams on experiments, model fine-tuning, and infra. Requires senior AI/ML engineering experience with MLOps, Python/TS proficiency.
Builds and optimizes production inference pipelines for large tabular models using Triton Inference Server. Requires 5+ years in ML infrastructure, expert Python skills, and deep knowledge of inference frameworks and optimization techniques.
Leads end-to-end ML initiatives for Reddit's consumer features like recommendations, search, and AI discovery. Requires 7+ years experience with deep learning frameworks, production ML systems, and expertise in Transformers, LLMs, or recommender systems.
Leads technical integration of AI agent solutions for clients, designs custom multi-agent workflows using Python, troubleshoots implementations, and optimizes production deployments. Requires Python expertise, AI/ML familiarity, and customer-facing technical experience.
Leads algorithmic development for Instacart's ads optimization systems, including real-time bidding, budget pacing, and auction mechanics using constrained optimization and control theory. Requires MS/PhD, 8+ years experience deploying production systems at scale, and proficiency in Go/Java/C++/Python.
Designs and maintains benchmarks, evaluation systems, and failure analysis workflows for frontier LLMs, focusing on tool use, agentic behavior, and reasoning. Builds rubrics, scorers, and dashboards while collaborating with AI research teams in a fast-paced environment.
Develops and optimizes computer vision algorithms for aerial object detection and tracking in defense systems. Requires Master's/PhD, 2+ years experience in CV/deep learning, Python/C++/OpenCV/PyTorch expertise.
Designs and deploys end-to-end ML pipelines and MLOps practices for AI-driven counter-drone systems in defense applications. Requires 5+ years ML engineering experience, Python/C++ proficiency, cloud/containerization, and computer vision expertise.
Build AI-powered internal tools and agentic workflows for GTM teams, integrating LLMs with Salesforce, BigQuery, and Slack. Requires 5+ years backend experience, Python proficiency, and hands-on LLM orchestration like LangChain.
Builds and maintains sandboxed, reproducible RL environments for AI agent training, including terminal, browser, and tool-augmented setups. Requires 2+ years Python/systems engineering, containerization, and RL concepts understanding.
Leads end-to-end delivery of multi-agent AI systems for enterprise clients, analyzing workflows, building Python-based integrations with systems like SAP and Salesforce, and ensuring production deployment. Requires 1-3 years experience in data science or solutions engineering, Python proficiency, and strong communication skills.
Build and maintain ML infrastructure pipelines to deploy research models to production at scale, including CI/CD, A/B testing, monitoring, and optimization for low-latency voice AI serving. Requires 4+ years MLOps experience with Python, Docker, Kubernetes.
Staff Data Scientist advances ML models for healthcare claims auditing, curating data, developing precise models, and optimizing business impact for health plans. Requires expertise in SQL, Python/R, and building ML models from scratch.
Leads design and development of large-scale AI systems for document processing and agentic workflows in healthcare payment integrity. Requires 6+ years experience with Java/Python, productionizing LLMs/RAG, and distributed systems.
Develop and advance ML models to select healthcare claims for auditing, improving precision and recovering millions in overpayments for large health plans. Requires experience with SQL, Python/R, and building modern ML models from scratch.
Leads development and deployment of ML and GenAI systems to detect billing errors, audits, and fraud in healthcare payments. Requires 5+ years data science experience, team management, and a degree in CS or related field.
As a Senior AI Enablement Engineer, you will design and build foundational AI infrastructure, tooling, and workflows to enhance efficiency across the organization. This role involves building scalable AI systems, partnering with various teams, and driving the adoption of AI-powered workflows.
Builds end-to-end ML systems for autonomous insurance underwriting, finetuning LLMs, closing feedback loops with underwriter data, and deploying production models. Requires 4+ years ML experience, Python proficiency, and production LLM expertise.
Builds ML infrastructure, models, and platforms to enable AI-powered features for developers handling massive datasets. Requires 5+ years backend experience, production ML deployment, and expertise in LLMs, RAG, distributed systems, and cloud platforms.
Leads AI enablement across Checkr by gathering requirements, building custom LLM/RAG solutions, leading hackathons and training, and creating scalable workflows. Requires 5+ years engineering experience, 4+ years AI development, Python proficiency, and strong communication skills.
Builds and improves core AI agent systems for retrieval, tool use, document understanding, and orchestration in production. Designs evals, analyzes traces, and iterates based on real enterprise workflows using Python and LLM expertise.
Develops custom quantization algorithms and prototypes for optimizing ML models on Quadric's GPNPU hardware. Requires MS/PhD, 5+ years in model optimization, deep quantization expertise, and Python/PyTorch proficiency.
Builds production-ready agentic AI systems including runtimes, orchestration, reliability, observability, and integrations with LLMs/APIs. Requires strong backend experience, shipped agent/LLM systems, and production reliability expertise.
Build and iterate on AI agents for customer interactions, outperforming humans in complex scenarios. Requires 5+ years experience with Python/TypeScript, systems debugging, and model evaluation/integration.
Embeds with marketing teams to identify high-leverage workflows, build custom AI tools/agents/automations, coach marketers on AI integration, and scale transformations for self-sufficiency. Requires 5+ years experience building transformative AI solutions and strong coaching skills.
Leads key research projects in statistical machine learning for financial market prediction and portfolio optimization, from basic research to production deployment. Requires 5+ years experience, PhD-level expertise, strong ML/math skills, and Python/R proficiency.
Build and operate ML systems that process raw signals into reliable decisions across device, cloud, and offline environments for high-stakes cyber-physical security. Requires 5-10 years experience with production ML/LLM deployment, strong Python plus Go/TS, and system design expertise.
Build and deploy AI systems for legal workflows, fine-tuning models on domain-specific data, advancing reasoning capabilities, and integrating with product features. Requires Bachelor's/Master's in ML/AI/CS and proven production ML experience.
Leads development and productionization of scalable ML systems, real-time inference services, feature stores, and MLOps pipelines to enhance betting metrics and platform integrity. Requires 7+ years ML/Backend experience, streaming architectures, and GCP expertise.
Builds custom production-grade ML solutions for customer problems by identifying platform gaps, implementing fixes, and owning outcomes from discovery to deployment. Requires 4+ years experience including customer-facing roles, strong ML frameworks knowledge, and data modeling expertise.
Builds autonomous AI agents and platform infrastructure for customer support, enhancing LLM performance with RAG techniques, scaling systems with Golang, and integrating STT/TTS. Requires 5+ years software engineering experience with LLMs.
Designs and implements AI/ML and scientific computing workloads on wafer-scale hardware to set performance benchmarks. Leads algorithm-hardware co-design, builds performance models, and contributes to technology roadmap with publications in top venues. PhD preferred in CS, Engineering, or related field.
Leads new ML research team focusing on post-training/RL, dataset optimization, LLM pretraining, sparsity, and domain-specific agents. Adapts algorithms for Cerebras hardware, builds teams, and collaborates on hardware/software design. Requires PhD and ML leadership experience.
Leads pre-training and post-training of action-conditioned world models and VLA models for physical AI applications. Requires PyTorch expertise, distributed training, and ML fundamentals; robotics background preferred.
Develops and productionizes AI/ML models and pipelines at scale for Airbnb's agentic growth platform, powering personalized content generation, decisioning, and proactive marketing agents. Requires 12+ years experience, strong programming, and expertise in ML best practices and tools like PyTorch and Kubernetes.
Leads automation and evaluation programs for AI Operations, architecting scalable workflows with LLMs, datasets, and quality systems. Requires 5+ years leading complex AI initiatives, cross-functional influence, and metrics-driven impact; familiarity with data pipelines preferred.
Owns evaluation frameworks, datasets, and automations to enhance AI system performance in operations. Requires 3+ years experience with AI tools, LLM workflows, scripting (SQL/Python), and driving ambiguous tasks to execution.
Leads machine learning team developing conversion models for Reddit Ads, focusing on predictive modeling for user actions like purchases and signups. Requires deep ML expertise, ads domain knowledge, and 2+ years managing high-performing ML teams.
Conducts ML research on LLMs and audio models to enhance real-time voice agents' reasoning, latency, and conversational quality. Prototypes models, designs evaluations, and bridges research to production systems requiring strong PyTorch expertise and experimental mindset.
Build simulation environments, tasks, and verifiers to train and evaluate long-horizon autonomous AI agents using reinforcement learning. Requires strong engineering fundamentals, high agency, and focus on robust systems.
Senior ML Engineer designs and drives responsible AI projects to mitigate bias in Pinterest's ML applications, including GenAI evaluations and fairness tooling. Requires 4+ years in large-scale ML production, expertise in transformers/LLMs, and Master's/PhD.
Owns end-to-end ML research initiatives developing novel architectures, training methods, and evaluation for clinical intelligence using longitudinal patient data. Requires strong ML foundation, PyTorch experience, and ability to drive ambiguous high-stakes problems to validated results.
Owns end-to-end production ML systems for clinical workflows, including training/fine-tuning LLMs for medical reasoning and question answering. Requires strong ML/software engineering, PyTorch experience, and ability to handle high-stakes ambiguity with real patient impact.
Designs datasets, evaluation rubrics, and reward signals for RLHF/RLVR pipelines to expose model failure modes and improve frontier AI capabilities. Partners with AI labs; requires 1-4 YOE and passion for data-driven model behavior.
Founding Engineer builds knowledge engines, multimodal agents, voice AI, and codegen systems for complex physical product support. Owns end-to-end customer deployments in fast-paced startup environment.
Optimizes and deploys large-scale AI models (LLMs, VLMs) for real-time inference on power-constrained vehicle hardware. Requires expertise in quantization, TensorRT compilation, custom CUDA kernels, and production C++/Python for edge devices.
Develops and deploys deep learning models for motion planning and behavioral prediction in autonomous vehicles using petabytes of driving data. Requires strong Python, PyTorch/TensorFlow expertise, full ML lifecycle experience, and C++ for real-time inference.
Develops, optimizes, and deploys deep learning models for autonomous vehicles and robots, managing large datasets and training pipelines. Requires 3+ years experience with PyTorch/TensorFlow, Python, and expertise in computer vision or LLMs.
Fellows develop and optimize ML systems and performance infrastructure for AI models, focusing on scaling, efficiency, and reliability in a remote-friendly program.
Senior ML Engineer applies operations research, combinatorial optimization, and AI to solve logistics challenges like order batching, shopper routing, and real-time assignment. Requires master's/PhD in OR/Industrial Engineering, 3+ years ML experience with Python, SQL, and ML frameworks.
Builds and deploys production AI features like Notebook Agent for data science workflows, partnering with product teams on experiments, model fine-tuning, and infra. Requires senior AI/ML engineering experience with MLOps, Python/TS proficiency.
Builds and optimizes production inference pipelines for large tabular models using Triton Inference Server. Requires 5+ years in ML infrastructure, expert Python skills, and deep knowledge of inference frameworks and optimization techniques.
Leads end-to-end ML initiatives for Reddit's consumer features like recommendations, search, and AI discovery. Requires 7+ years experience with deep learning frameworks, production ML systems, and expertise in Transformers, LLMs, or recommender systems.
Leads technical integration of AI agent solutions for clients, designs custom multi-agent workflows using Python, troubleshoots implementations, and optimizes production deployments. Requires Python expertise, AI/ML familiarity, and customer-facing technical experience.
Leads algorithmic development for Instacart's ads optimization systems, including real-time bidding, budget pacing, and auction mechanics using constrained optimization and control theory. Requires MS/PhD, 8+ years experience deploying production systems at scale, and proficiency in Go/Java/C++/Python.
Designs and maintains benchmarks, evaluation systems, and failure analysis workflows for frontier LLMs, focusing on tool use, agentic behavior, and reasoning. Builds rubrics, scorers, and dashboards while collaborating with AI research teams in a fast-paced environment.
Develops and optimizes computer vision algorithms for aerial object detection and tracking in defense systems. Requires Master's/PhD, 2+ years experience in CV/deep learning, Python/C++/OpenCV/PyTorch expertise.
Designs and deploys end-to-end ML pipelines and MLOps practices for AI-driven counter-drone systems in defense applications. Requires 5+ years ML engineering experience, Python/C++ proficiency, cloud/containerization, and computer vision expertise.
Build AI-powered internal tools and agentic workflows for GTM teams, integrating LLMs with Salesforce, BigQuery, and Slack. Requires 5+ years backend experience, Python proficiency, and hands-on LLM orchestration like LangChain.
Builds and maintains sandboxed, reproducible RL environments for AI agent training, including terminal, browser, and tool-augmented setups. Requires 2+ years Python/systems engineering, containerization, and RL concepts understanding.
Leads end-to-end delivery of multi-agent AI systems for enterprise clients, analyzing workflows, building Python-based integrations with systems like SAP and Salesforce, and ensuring production deployment. Requires 1-3 years experience in data science or solutions engineering, Python proficiency, and strong communication skills.
Build and maintain ML infrastructure pipelines to deploy research models to production at scale, including CI/CD, A/B testing, monitoring, and optimization for low-latency voice AI serving. Requires 4+ years MLOps experience with Python, Docker, Kubernetes.
Staff Data Scientist advances ML models for healthcare claims auditing, curating data, developing precise models, and optimizing business impact for health plans. Requires expertise in SQL, Python/R, and building ML models from scratch.
Leads design and development of large-scale AI systems for document processing and agentic workflows in healthcare payment integrity. Requires 6+ years experience with Java/Python, productionizing LLMs/RAG, and distributed systems.
Develop and advance ML models to select healthcare claims for auditing, improving precision and recovering millions in overpayments for large health plans. Requires experience with SQL, Python/R, and building modern ML models from scratch.
Leads development and deployment of ML and GenAI systems to detect billing errors, audits, and fraud in healthcare payments. Requires 5+ years data science experience, team management, and a degree in CS or related field.
As a Senior AI Enablement Engineer, you will design and build foundational AI infrastructure, tooling, and workflows to enhance efficiency across the organization. This role involves building scalable AI systems, partnering with various teams, and driving the adoption of AI-powered workflows.
Builds end-to-end ML systems for autonomous insurance underwriting, finetuning LLMs, closing feedback loops with underwriter data, and deploying production models. Requires 4+ years ML experience, Python proficiency, and production LLM expertise.
Builds ML infrastructure, models, and platforms to enable AI-powered features for developers handling massive datasets. Requires 5+ years backend experience, production ML deployment, and expertise in LLMs, RAG, distributed systems, and cloud platforms.
Leads AI enablement across Checkr by gathering requirements, building custom LLM/RAG solutions, leading hackathons and training, and creating scalable workflows. Requires 5+ years engineering experience, 4+ years AI development, Python proficiency, and strong communication skills.
Builds and improves core AI agent systems for retrieval, tool use, document understanding, and orchestration in production. Designs evals, analyzes traces, and iterates based on real enterprise workflows using Python and LLM expertise.
Develops custom quantization algorithms and prototypes for optimizing ML models on Quadric's GPNPU hardware. Requires MS/PhD, 5+ years in model optimization, deep quantization expertise, and Python/PyTorch proficiency.
Builds production-ready agentic AI systems including runtimes, orchestration, reliability, observability, and integrations with LLMs/APIs. Requires strong backend experience, shipped agent/LLM systems, and production reliability expertise.
Build and iterate on AI agents for customer interactions, outperforming humans in complex scenarios. Requires 5+ years experience with Python/TypeScript, systems debugging, and model evaluation/integration.
Embeds with marketing teams to identify high-leverage workflows, build custom AI tools/agents/automations, coach marketers on AI integration, and scale transformations for self-sufficiency. Requires 5+ years experience building transformative AI solutions and strong coaching skills.