Develops and deploys ML models for credit underwriting in regulated banking, owning full stack from data curation to production decisioning. Leads MLOps initiatives and improves policies using advanced techniques for underserved segments. Requires 8+ YOE in ML production and technical degree.
Designs and runs experiments to improve oversight of increasingly capable AI models, including model training, evaluation, and deployment of practical systems. Analyzes failures and develops techniques to train more aligned models using oversight signals.
DeepLearning.AI is seeking an AI Engineer to join their Learning Experience Lab. This role involves developing new AI products and features for their education platform, leveraging expertise in software development and machine learning, and building full-stack applications using GenAI tools.
Leads team developing and deploying a unified camera-first perception model for self-driving systems across diverse vehicles, geographies, and conditions. Hands-on with ML architecture, training, evaluation, embedded optimization, and customer requirements. Requires 5+ years ML perception experience and 2+ years team leadership.
Builds and architects agentic AI systems and GenAI agents for logistics software, integrating with ML workflows. Owns end-to-end feature delivery, mentors engineers, and shapes technical strategy. Requires 5+ years experience and curiosity in LLMs.
Builds forecasting interfaces, data pipelines, and scheduling systems for thousands of support agents using ML models. Requires Python ML libraries experience and background in ML/algorithmic teams with focus on performance optimization.
Develops forecasting interfaces, data pipelines, and scheduling systems to predict support contact volume and optimize agent schedules for thousands, incorporating ML models and constraints like labor laws. Requires Python/ML experience and performance focus.
Builds AI infrastructure, frameworks, and agentic systems powering company products. Partners with teams to deploy high-impact AI use cases; requires 2+ years AI/ML experience, LLMs proficiency, and full-stack skills.
Builds scalable AI-powered internal tools, integrations, and services to enable AI adoption across teams. Partners with IT, security, and business ops to deliver secure, production-ready solutions with 5+ years experience in software engineering and AI technologies.
Build and ship agent-driven GenAI workflows and chatbots for financial products, owning features end-to-end. Requires 3+ years software engineering experience, strong system design, and excitement for AI-assisted development tools.
Builds and optimizes ML research infrastructure, deploys models to production for market-making strategies, and mentors engineers. Requires 5+ years backend experience, Python proficiency, and ML frameworks like PyTorch/Jax.
Builds and operates AI platform capabilities including RAG pipelines, semantic retrieval, agentic orchestration, and LLM integrations to power legal tech products. Requires 4+ years in distributed cloud systems, AI/ML experience, and proficiency in modern programming languages.
Leads and scales machine learning organization at fintech company, defining ML roadmap, productionizing models at scale, and collaborating cross-functionally. Requires 12+ years engineering experience, 7+ years leadership, MS/PhD, deep ML expertise, Python/SQL proficiency.
Builds AI prototypes and solutions using Celonis Process Intelligence platform for strategic customers, focusing on generative AI, agentic systems, and proof-of-value projects to drive ROI and adoption. Requires 7+ years in technical pre-sales, Python/ML expertise, and business process knowledge.
Develops and deploys ML models for ads targeting, ranking, and measurement on Discord's Ads platform. Requires 5+ years ML experience, 3+ years in Ads ML, Python proficiency, and PyTorch/TensorFlow expertise.
Builds retrieval stack and search subagents for Databricks AI agents, handling query understanding, hybrid retrieval across structured/unstructured enterprise data, and evaluation. Requires 10+ years in production IR/RAG systems and agentic workflows.
Builds and scales ML/DL infrastructure including data pipelines, annotation workflows, training, deployment, and monitoring for autonomous drone systems. Requires hands-on experience in data engineering, cloud ML platforms, containerization, and MLOps.
Designs, develops, and maintains high-performance ML services and agentic AI systems, collaborating with ML engineers to scale from prototype to production. Requires 5+ years backend/ML experience, cloud-native tech, and strong architecture skills.
Builds and operates distributed inference systems for LLMs at scale and large-scale data pipelines for training/evaluation. Requires 5+ years in production distributed systems, GPU expertise, and frameworks like Ray/Spark.
Designs and ships production ML systems for conversational AI personalization at Spotify, focusing on user intent interpretation, agentic workflows, context management, and scalable evaluation frameworks. Requires 5+ years experience with LLMs and production ML.
Builds core infrastructure for production AI agents including runtime, evaluation systems, retrieval, tool orchestration, observability, and reliability features for high-stakes real estate workflows. Requires strong systems engineering with Python, backend, and LLM experience.
Builds, deploys, and maintains scalable ML infrastructure including pipelines, feature stores, and model serving for real-time fintech risk decisions. Requires 4+ years production ML experience with Python, Scala, Spark, Flink, and AWS.
Designs new information architectures for LLMs to interact with external data sources, implements finetuning/RL training, builds evaluation sets, and develops agentic search capabilities. Requires strong Python/ML skills and LLM experience.
Builds and scales ML systems for content moderation, policy enforcement, and safety scanning on Spotify. Develops multimodal models combining text, audio, image, video; architects feedback loops and evaluation frameworks for production-grade deployment.
Builds core infrastructure for AI software agents in Devin and Windsurf, focusing on long-horizon task execution, tool use, planning, and reliability at scale. Requires strong Python, systems engineering depth, and AI curiosity; onsite in San Francisco.
Develops and optimizes deep learning compiler passes for Quadric's GPNPU, lowering ONNX models through Relay IR to efficient C++ code. Requires new grad-level proficiency in Python, C++, and compiler concepts like IR transformations and debugging.
Builds and owns end-to-end LLM-powered features including RAG, tool-calling, APIs, retrieval systems, evals, and monitoring for aviation AI platform. Requires production LLM experience, strong coding in Python/TypeScript, quality focus, and cost/latency optimization.
Leads architecture of scalable ML platforms for generative AI across text, image, audio, and video. Drives company-level strategy, mentors engineers, and builds large-scale systems requiring 12+ years experience in ML infrastructure.
Senior Staff ML Engineer fine-tunes and optimizes state-of-the-art LLMs for Airbnb's customer support AI products, including AI assistants and autonomous agents. Partners cross-functionally to productionize models at scale. Requires PhD and 10+ years experience with PyTorch.
Designs, builds, and deploys production AI/ML systems for financial operations like invoice matching and payment reconciliation. Requires 5+ years software engineering with 2+ years applied AI/ML, expertise in LLMs, RAG, and Python/PyTorch.
Builds and scales ML systems for content understanding across audio, video, text, and images at Spotify. Develops models for classification, tagging, semantic analysis, and enrichment using LLMs, enabling automation, quality, and new product features.
Designs and scales enterprise MLOps platform focused on Generative AI and LLMs on AWS, owning architecture for pipelines, deployment, monitoring, governance, and cost optimization. Requires 6+ years ML engineering experience with SageMaker, RAG, and production LLM operationalization.
Leads development of security-focused ML models for GenAI traffic at Reddit, owning the full ML lifecycle from data ETL to production deployment and monitoring. Requires 5+ years experience with PyTorch/TensorFlow, deep learning architectures, and MLOps for adversarial security risks.
Conducts research on visual perception, multimodal learning, and large-scale AI model training. Designs architectures, builds datasets and evaluations, and collaborates on frontier models. Requires ML expertise, Python proficiency, and experimental rigor.
Designs and implements methods for sourcing, curating, and analyzing large-scale pre-training datasets for AI models, blending research with production-grade data engineering. Requires Python proficiency, deep learning frameworks, and strong ML fundamentals.
Conducts post-training research for AI models, designing data collection strategies, developing labeling pipelines, modeling human preferences, and iterating on evaluations to improve model alignment, reasoning, and helpfulness. Requires strong Python skills, ML framework proficiency, and experimental rigor.
Develops and tunes post-training recipes for AI models, iterates on evaluations, debugs configurations, scales methodologies, and publishes research to advance collaborative intelligence. Requires Python proficiency, deep learning frameworks, and strong ML fundamentals.
Leads technical strategy, architecture, and development of advanced ML models for ads identity modeling and measurement, ensuring scalability, privacy compliance, and integration across systems. Requires 7+ years software engineering with 3+ in ML at scale, expertise in ML frameworks and large-scale data processing.
Builds and ships AI agents that automate complex audit workflows using LLMs, retrieval pipelines, and orchestration logic. Owns end-to-end development, evaluation, reliability, and mentoring while partnering with product and design teams. Requires 3+ years experience with production LLM features.
Builds and operates ML-powered features end-to-end, from problem discovery through deployment and monitoring. Requires 4+ years experience with full ML lifecycle, Python/SQL proficiency, frameworks like TensorFlow/PyTorch, and production ML model shipping.
Designs, builds, and productionizes ML systems for personalized health insights from physiological data in a regulated SaMD environment. Collaborates with scientists, data platforms, and health teams; requires 7+ years experience, Python expertise, and cloud deployment skills.
Lead a team of software engineers to develop and integrate perception pipelines for various modalities and an autonomy service for government and defense applications. This role focuses on deploying software to hardware and integrating pre-trained ML models.
Designs, builds, and deploys production ML systems for content safety, moderation, and policy enforcement at Spotify scale. Leads technical initiatives, develops multimodal/LLM models, and collaborates with Trust & Safety, Legal teams on safety-critical systems.
Lead a team of software engineers to develop and integrate perception pipelines for various modalities and an autonomy service for government and defense applications. This role focuses on deploying software to hardware components and integrating pre-trained ML models.
Builds and deploys custom integrations, APIs, and scalable solutions for enterprise clients using Mercor's AI platform. Requires strong engineering skills in modern languages and cloud environments, with customer-facing experience.
Develops and maintains behavioral models for road users (vehicles, pedestrians, cyclists) in autonomous driving perception stack. Requires MS/PhD, 7+ years experience, deep learning expertise, Python fluency, and production ML pipelines.
Builds AI agent systems for legal workflows, optimizing performance via prompt engineering, model selection, tools, and evaluations. Partners with customers/PMs to ship low-latency agents using Python and LLM APIs; requires 8+ years experience.
Builds AI agents for legal workflows, optimizing performance via prompt engineering, model selection, tools, and evaluations. Partners with PMs and customers to ship low-latency, high-quality agent systems using Python and LLM APIs. Requires 2-5 years experience.
Builds mission-critical training, data, and inference infrastructure for AI research on large world models. Optimizes performance, debugs distributed systems, and improves researcher velocity with 5+ years experience in ML systems and strong Python proficiency.
Develops performance optimizations for ML models across graph, kernel, and system levels using PyTorch and Thunder compiler. Builds tools, collaborates with partners, and contributes to open-source while requiring strong PyTorch expertise and optimization experience.
Develops and deploys ML models for credit underwriting in regulated banking, owning full stack from data curation to production decisioning. Leads MLOps initiatives and improves policies using advanced techniques for underserved segments. Requires 8+ YOE in ML production and technical degree.
Designs and runs experiments to improve oversight of increasingly capable AI models, including model training, evaluation, and deployment of practical systems. Analyzes failures and develops techniques to train more aligned models using oversight signals.
DeepLearning.AI is seeking an AI Engineer to join their Learning Experience Lab. This role involves developing new AI products and features for their education platform, leveraging expertise in software development and machine learning, and building full-stack applications using GenAI tools.
Leads team developing and deploying a unified camera-first perception model for self-driving systems across diverse vehicles, geographies, and conditions. Hands-on with ML architecture, training, evaluation, embedded optimization, and customer requirements. Requires 5+ years ML perception experience and 2+ years team leadership.
Builds and architects agentic AI systems and GenAI agents for logistics software, integrating with ML workflows. Owns end-to-end feature delivery, mentors engineers, and shapes technical strategy. Requires 5+ years experience and curiosity in LLMs.
Builds forecasting interfaces, data pipelines, and scheduling systems for thousands of support agents using ML models. Requires Python ML libraries experience and background in ML/algorithmic teams with focus on performance optimization.
Develops forecasting interfaces, data pipelines, and scheduling systems to predict support contact volume and optimize agent schedules for thousands, incorporating ML models and constraints like labor laws. Requires Python/ML experience and performance focus.
Builds AI infrastructure, frameworks, and agentic systems powering company products. Partners with teams to deploy high-impact AI use cases; requires 2+ years AI/ML experience, LLMs proficiency, and full-stack skills.
Builds scalable AI-powered internal tools, integrations, and services to enable AI adoption across teams. Partners with IT, security, and business ops to deliver secure, production-ready solutions with 5+ years experience in software engineering and AI technologies.
Build and ship agent-driven GenAI workflows and chatbots for financial products, owning features end-to-end. Requires 3+ years software engineering experience, strong system design, and excitement for AI-assisted development tools.
Builds and optimizes ML research infrastructure, deploys models to production for market-making strategies, and mentors engineers. Requires 5+ years backend experience, Python proficiency, and ML frameworks like PyTorch/Jax.
Builds and operates AI platform capabilities including RAG pipelines, semantic retrieval, agentic orchestration, and LLM integrations to power legal tech products. Requires 4+ years in distributed cloud systems, AI/ML experience, and proficiency in modern programming languages.
Leads and scales machine learning organization at fintech company, defining ML roadmap, productionizing models at scale, and collaborating cross-functionally. Requires 12+ years engineering experience, 7+ years leadership, MS/PhD, deep ML expertise, Python/SQL proficiency.
Builds AI prototypes and solutions using Celonis Process Intelligence platform for strategic customers, focusing on generative AI, agentic systems, and proof-of-value projects to drive ROI and adoption. Requires 7+ years in technical pre-sales, Python/ML expertise, and business process knowledge.
Develops and deploys ML models for ads targeting, ranking, and measurement on Discord's Ads platform. Requires 5+ years ML experience, 3+ years in Ads ML, Python proficiency, and PyTorch/TensorFlow expertise.
Builds retrieval stack and search subagents for Databricks AI agents, handling query understanding, hybrid retrieval across structured/unstructured enterprise data, and evaluation. Requires 10+ years in production IR/RAG systems and agentic workflows.
Builds and scales ML/DL infrastructure including data pipelines, annotation workflows, training, deployment, and monitoring for autonomous drone systems. Requires hands-on experience in data engineering, cloud ML platforms, containerization, and MLOps.
Designs, develops, and maintains high-performance ML services and agentic AI systems, collaborating with ML engineers to scale from prototype to production. Requires 5+ years backend/ML experience, cloud-native tech, and strong architecture skills.
Builds and operates distributed inference systems for LLMs at scale and large-scale data pipelines for training/evaluation. Requires 5+ years in production distributed systems, GPU expertise, and frameworks like Ray/Spark.
Designs and ships production ML systems for conversational AI personalization at Spotify, focusing on user intent interpretation, agentic workflows, context management, and scalable evaluation frameworks. Requires 5+ years experience with LLMs and production ML.
Builds core infrastructure for production AI agents including runtime, evaluation systems, retrieval, tool orchestration, observability, and reliability features for high-stakes real estate workflows. Requires strong systems engineering with Python, backend, and LLM experience.
Builds, deploys, and maintains scalable ML infrastructure including pipelines, feature stores, and model serving for real-time fintech risk decisions. Requires 4+ years production ML experience with Python, Scala, Spark, Flink, and AWS.
Designs new information architectures for LLMs to interact with external data sources, implements finetuning/RL training, builds evaluation sets, and develops agentic search capabilities. Requires strong Python/ML skills and LLM experience.
Builds and scales ML systems for content moderation, policy enforcement, and safety scanning on Spotify. Develops multimodal models combining text, audio, image, video; architects feedback loops and evaluation frameworks for production-grade deployment.
Builds core infrastructure for AI software agents in Devin and Windsurf, focusing on long-horizon task execution, tool use, planning, and reliability at scale. Requires strong Python, systems engineering depth, and AI curiosity; onsite in San Francisco.
Develops and optimizes deep learning compiler passes for Quadric's GPNPU, lowering ONNX models through Relay IR to efficient C++ code. Requires new grad-level proficiency in Python, C++, and compiler concepts like IR transformations and debugging.
Builds and owns end-to-end LLM-powered features including RAG, tool-calling, APIs, retrieval systems, evals, and monitoring for aviation AI platform. Requires production LLM experience, strong coding in Python/TypeScript, quality focus, and cost/latency optimization.
Leads architecture of scalable ML platforms for generative AI across text, image, audio, and video. Drives company-level strategy, mentors engineers, and builds large-scale systems requiring 12+ years experience in ML infrastructure.
Senior Staff ML Engineer fine-tunes and optimizes state-of-the-art LLMs for Airbnb's customer support AI products, including AI assistants and autonomous agents. Partners cross-functionally to productionize models at scale. Requires PhD and 10+ years experience with PyTorch.
Designs, builds, and deploys production AI/ML systems for financial operations like invoice matching and payment reconciliation. Requires 5+ years software engineering with 2+ years applied AI/ML, expertise in LLMs, RAG, and Python/PyTorch.
Builds and scales ML systems for content understanding across audio, video, text, and images at Spotify. Develops models for classification, tagging, semantic analysis, and enrichment using LLMs, enabling automation, quality, and new product features.
Designs and scales enterprise MLOps platform focused on Generative AI and LLMs on AWS, owning architecture for pipelines, deployment, monitoring, governance, and cost optimization. Requires 6+ years ML engineering experience with SageMaker, RAG, and production LLM operationalization.
Leads development of security-focused ML models for GenAI traffic at Reddit, owning the full ML lifecycle from data ETL to production deployment and monitoring. Requires 5+ years experience with PyTorch/TensorFlow, deep learning architectures, and MLOps for adversarial security risks.
Conducts research on visual perception, multimodal learning, and large-scale AI model training. Designs architectures, builds datasets and evaluations, and collaborates on frontier models. Requires ML expertise, Python proficiency, and experimental rigor.
Designs and implements methods for sourcing, curating, and analyzing large-scale pre-training datasets for AI models, blending research with production-grade data engineering. Requires Python proficiency, deep learning frameworks, and strong ML fundamentals.
Conducts post-training research for AI models, designing data collection strategies, developing labeling pipelines, modeling human preferences, and iterating on evaluations to improve model alignment, reasoning, and helpfulness. Requires strong Python skills, ML framework proficiency, and experimental rigor.
Develops and tunes post-training recipes for AI models, iterates on evaluations, debugs configurations, scales methodologies, and publishes research to advance collaborative intelligence. Requires Python proficiency, deep learning frameworks, and strong ML fundamentals.
Leads technical strategy, architecture, and development of advanced ML models for ads identity modeling and measurement, ensuring scalability, privacy compliance, and integration across systems. Requires 7+ years software engineering with 3+ in ML at scale, expertise in ML frameworks and large-scale data processing.
Builds and ships AI agents that automate complex audit workflows using LLMs, retrieval pipelines, and orchestration logic. Owns end-to-end development, evaluation, reliability, and mentoring while partnering with product and design teams. Requires 3+ years experience with production LLM features.
Builds and operates ML-powered features end-to-end, from problem discovery through deployment and monitoring. Requires 4+ years experience with full ML lifecycle, Python/SQL proficiency, frameworks like TensorFlow/PyTorch, and production ML model shipping.
Designs, builds, and productionizes ML systems for personalized health insights from physiological data in a regulated SaMD environment. Collaborates with scientists, data platforms, and health teams; requires 7+ years experience, Python expertise, and cloud deployment skills.
Lead a team of software engineers to develop and integrate perception pipelines for various modalities and an autonomy service for government and defense applications. This role focuses on deploying software to hardware and integrating pre-trained ML models.
Designs, builds, and deploys production ML systems for content safety, moderation, and policy enforcement at Spotify scale. Leads technical initiatives, develops multimodal/LLM models, and collaborates with Trust & Safety, Legal teams on safety-critical systems.
Lead a team of software engineers to develop and integrate perception pipelines for various modalities and an autonomy service for government and defense applications. This role focuses on deploying software to hardware components and integrating pre-trained ML models.
Builds and deploys custom integrations, APIs, and scalable solutions for enterprise clients using Mercor's AI platform. Requires strong engineering skills in modern languages and cloud environments, with customer-facing experience.
Develops and maintains behavioral models for road users (vehicles, pedestrians, cyclists) in autonomous driving perception stack. Requires MS/PhD, 7+ years experience, deep learning expertise, Python fluency, and production ML pipelines.
Builds AI agent systems for legal workflows, optimizing performance via prompt engineering, model selection, tools, and evaluations. Partners with customers/PMs to ship low-latency agents using Python and LLM APIs; requires 8+ years experience.
Builds AI agents for legal workflows, optimizing performance via prompt engineering, model selection, tools, and evaluations. Partners with PMs and customers to ship low-latency, high-quality agent systems using Python and LLM APIs. Requires 2-5 years experience.
Builds mission-critical training, data, and inference infrastructure for AI research on large world models. Optimizes performance, debugs distributed systems, and improves researcher velocity with 5+ years experience in ML systems and strong Python proficiency.
Develops performance optimizations for ML models across graph, kernel, and system levels using PyTorch and Thunder compiler. Builds tools, collaborates with partners, and contributes to open-source while requiring strong PyTorch expertise and optimization experience.