Senior Machine Learning Engineer building and shipping production ML systems for Ads Content Understanding at Reddit. Focus on LLMs, content taxonomies, opinion mining, product understanding, and operationalizing signals for monetization impact. Requires 5+ years delivering scalable ML in production.
Senior Staff Software Engineer building an AI agent platform and automated workflows to transform Coinbase's Legal organization. Architect production-grade LLM and multi-agent systems that replace manual legal processes such as agreement redlining and governance.
Machine Learning Engineer building statistical models, optimization systems, and experiments for mobile ad tech economics on the Revenue Engine team. Requires PhD in CS/ML/Economics and industry experience applying ML or economics at scale.
Build and productionize cutting-edge ML models and ranking algorithms for Airbnb's search, recommendation, and personalization systems at scale. Requires PhD (new grad) or 2+ years applied ML experience with strong programming and ML systems skills.
Own the AI render pipeline and agent loops for generating on-brand Instagram carousels and reels. Requires TypeScript/Node.js, LLM systems experience, shipped generative media work, and strong design sensibility at the intersection of code, AI, and social media.
Senior Software Engineer building and operating Coinbase's central LLM and AI agent platform infrastructure. Owns LLM Gateway, knowledge bases, agent runtime, FinOps, evaluation tooling, and cross-team applied AI strategy. Requires 5+ years building ML/AI infrastructure at scale.
Senior Algorithm and Machine Learning Engineer building, deploying, and maintaining deep learning models that analyze brain/biosignal data to advance neurological, psychiatric, and sleep therapy development. Requires 5+ years ML/DL experience in regulated/health fields, DSP/stats proficiency, PyTorch expertise, and full algorithm lifecycle ownership.
Staff Machine Learning Engineer designing, training, and deploying advanced ML models (DNNs, transformers, RL) for Reddit's large-scale online advertising ranking, optimization, and marketplace systems. Requires Master's, 3+ years experience, technical leadership, and expertise in production ML systems.
Senior Software Engineer at Reddit building scalable distributed systems, integrating applied ML and Generative AI for real-time search, ad ranking, and data pipelines to drive advertiser revenue growth. Requires BS in CS/Engineering and 5+ years experience.
Build and own evaluation systems, metrics, pipelines, and datasets to rigorously measure the quality of Firecrawl's LLM-ready web data outputs at massive scale, driving model and product improvements.
Staff Software Engineer building and optimizing trusted agentic coding systems using generative AI, ML, and systems techniques. Requires 8+ years experience, fluency in multiple languages including Python/TS, deep concurrent programming knowledge, and API/documentation skills.
Senior Application Engineer building and deploying AI Agents with Salesforce Agentforce, intelligent automations, and custom Salesforce applications. Requires 5+ years experience, specific Salesforce certifications (Platform Developer I/II, Advanced Admin, Agentforce Specialist), strong coding and DevOps skills, and mentoring ability.
Lead Ideogram's open-source ML efforts by converting internal research into high-quality public models, code, and demos while growing the developer community through blogs, conferences, and GitHub/Hugging Face maintenance. Requires advanced ML research experience, strong Python/PyTorch skills, and a passion for open science.
Build and own the core AI platform powering an AI-native trading copilot. Develop high-performance Rust backend for streaming, tool execution, and safe trading actions; design robust APIs with observability and security. Requires 8+ years systems programming experience.
Own reliability and quality for an AI copilot in a trading platform. Design evaluation systems, benchmarks, quality gates, model improvement loops, and AI monitoring for correctness, safety, and performance in market analysis and trading workflows. Requires 8+ years production software experience and strong ML eval expertise.
Build high-performance Rust backend and core AI platform powering an AI-native trading copilot with streaming, low-latency tools, safe trading actions, and robust APIs. Requires 8+ years experience in systems programming, production services, and architecture.
Senior Agent Engineer owning multi-step agentic systems, model selection/fine-tuning, retrieval, evaluations, and cost/latency optimization for Sourcegraph's code intelligence products like Deep Search. Requires staff-level experience building reliable production AI agents blending software engineering, ML, and statistics.
Lead architectural design and implementation of production-grade multi-agent frameworks, LLM orchestration, and autonomous AI agent systems from the ground up at Mozilla's New Products incubator. Requires 7+ years software engineering experience including 2+ years building agentic systems, startup mentality, and deep proficiency with AI tooling.
Lead architectural design and implementation of next-generation AI agent frameworks, multi-agent orchestration, and LLM workflows at Mozilla's New Products incubator. Requires 7+ years software engineering experience including 2+ years building production agentic systems, startup mentality, and deep proficiency with AI coding tools.
Own the research-to-production pipeline at Deepgram, turning experimental speech ML models into reliable, scalable production services. Partner with researchers on robust workflows, automated release gates, inference optimization, and feedback loops across hybrid GPU infrastructure.
Backend Engineer building and optimizing Deepgram's core inference services for speech processing, including networking, audio transcoding, latency/memory optimization, and distributed compute orchestration. Requires 3+ years experience with Rust (or C/C++) and Python.
Senior technical leader building, productionizing and operating large-scale ML models and Agentic AI systems to fight fraud, ensure safety and build trust across Airbnb's platform. Requires 12+ years applied ML experience and deep expertise in LLMs/GenAI.
Build and maintain scalable cloud-native AI/ML infrastructure and MLOps pipelines on Databricks, AWS, and related tools. Requires 7+ years experience, expert Python/TypeScript skills, and production MLFlow/AWS expertise to support reliable AI model deployment and RAG use cases.
Senior ML Engineer on Airbnb's Relevance and Personalization team building end-to-end ranking algorithms, models, and infrastructure for search, recommendations, and marketplace optimization using large-scale structured and unstructured data.
Lead and mentor an MLOps team to build scalable ML infrastructure, automated pipelines, and low-latency model serving for large tabular models. Requires 7+ years MLOps experience including 3+ years leading teams, deep expertise in Kubernetes, model serving frameworks, and observability tools.
Senior technical IC owning the Modeling to ML Serving to API architecture for Airbnb's Host Pricing platform. Lead unified serving stack, backfill/evaluation infrastructure, and domain contracts between ML modeling and serving teams.
Senior Engineer building production-grade applied AI systems, LLM-powered tools, retrieval/memory patterns, and human-in-the-loop workflows to create organizational intelligence for home care operations. Requires Python experience, production system design skills, and cross-functional collaboration.
Research Scientist II building and improving fraud risk models and scam detection systems using audio, behavioral, and metadata signals. Requires an advanced degree and 3+ years of applied ML experience with Python and modern ML frameworks.
Technical leader building and scaling production-grade multi-agent AI systems for real-time voice, workflow automation, and enterprise tool execution. Requires 8+ years experience and deep expertise in LLM platforms, agent frameworks, and distributed systems.
Build and evolve auction, bidding, and budgeting ML systems that power Reddit Ads. Design optimization algorithms balancing advertiser performance, user experience, and marketplace efficiency.
Staff-level AI engineer building and shipping LLM/agent-powered observability features that help users detect, triage, and resolve incidents. Requires strong production software engineering experience plus practical GenAI/LLM skills.
Build and productionize ML systems for real-time bidding, campaign optimization, and incrementality measurement in a CTV ad platform. Requires strong Python, ML fundamentals, and 4+ years experience.
Hybrid ML/SRE role owning reliability, security, and safety of a large fleet of generative media model APIs (image, video, audio). Build observability for ML-specific failures, harden deployments, operationalize safety systems, lead incident response, and improve GPU fleet efficiency.
Own the full lifecycle of ML models for risk detection — from data ingestion and pipeline building to LLM/Generative AI model development, deployment, and measuring business impact in a SaaS platform. Requires 5+ years spanning data engineering and production ML.
Staff-level engineer building and operating Coinbase's LLM/agent infrastructure including gateway, runtime, knowledge bases, and applied AI agents. Own multi-quarter platform initiatives and partner with frontier labs.
Build full-stack AI systems including agentic workflows, RAG pipelines, and production infrastructure for mental healthcare applications. Requires 2+ years software engineering experience and 1+ year with LLMs or agentic AI.
Build and deploy cutting-edge ML and Generative AI systems to transform Airbnb's customer support experience, focusing on LLM fine-tuning, RAG, and intelligent service automation.
Tech Lead driving AI R&D and end-to-end delivery of production-ready prototypes using full-stack development, LLMs, and emerging technologies. Requires 10+ years experience and strong autonomy.
Build and evolve shared AI/ML infrastructure including LLM proxy server, observability tooling, and ML Ops platform capabilities. Focus on LLM Ops and ML Ops to improve how models are accessed, monitored, evaluated, deployed, and governed in production.
Build large-scale ML experimentation and training orchestration platforms, including agentic AI execution systems, to accelerate Ads ML development at Reddit. Requires 5+ years infrastructure experience and 2+ years building production ML platforms.
Build and improve large-scale ML models for personalization and recommendation across Pinterest surfaces including Shopping. Requires 5+ years applying ML methods and experience with big data pipelines.
Senior Research Engineer building data synthesis, analysis, and management tooling for AI safety model training and evaluation. Requires strong software engineering, statistics, and ML framework expertise.
Senior ML Engineer focused on fine-tuning and deploying LLMs and generative AI features into Firefox, emphasizing privacy, latency, and user experience.
Senior Engineer building multi-agent AI systems, LLM integrations, and backend automation services that power Marketing Operations. Owns technical direction for agentic infrastructure connecting models to business systems.
Build and deploy cutting-edge Agentic AI and LLM systems to transform Airbnb's customer service experience, including Chat and Voice AI assistants. Requires 6+ years experience with production ML/AI systems at scale.
Technical leader for Reddit's Notifications Relevance ML systems, driving large-scale recommendation systems spanning retrieval, ranking, budget optimization, and LLM-powered experiences.
Design, build, and deploy production ML systems for recommendations, search, ranking, and advertising at internet scale. Own the full ML lifecycle from modeling to monitoring with strong cross-functional collaboration.
Senior or Staff Applied Research Software Engineer building AI/ML prototypes and production solutions. Requires 3-5+ years full-stack experience with modern web frameworks, databases, and strong AI-assisted coding skills.
Design and build scalable ML ranking systems powering Reddit's personalized feeds, search, and recommendations at massive scale. Requires 5+ years building large-scale distributed ML systems.
Senior IC building and maintaining ML underwriting and credit decisioning models for Cash App Borrow and Afterpay. Owns full modeling lifecycle including experimentation, calibration, deployment, and monitoring.
Senior Machine Learning Engineer building and shipping production ML systems for Ads Content Understanding at Reddit. Focus on LLMs, content taxonomies, opinion mining, product understanding, and operationalizing signals for monetization impact. Requires 5+ years delivering scalable ML in production.
Senior Staff Software Engineer building an AI agent platform and automated workflows to transform Coinbase's Legal organization. Architect production-grade LLM and multi-agent systems that replace manual legal processes such as agreement redlining and governance.
Machine Learning Engineer building statistical models, optimization systems, and experiments for mobile ad tech economics on the Revenue Engine team. Requires PhD in CS/ML/Economics and industry experience applying ML or economics at scale.
Build and productionize cutting-edge ML models and ranking algorithms for Airbnb's search, recommendation, and personalization systems at scale. Requires PhD (new grad) or 2+ years applied ML experience with strong programming and ML systems skills.
Own the AI render pipeline and agent loops for generating on-brand Instagram carousels and reels. Requires TypeScript/Node.js, LLM systems experience, shipped generative media work, and strong design sensibility at the intersection of code, AI, and social media.
Senior Software Engineer building and operating Coinbase's central LLM and AI agent platform infrastructure. Owns LLM Gateway, knowledge bases, agent runtime, FinOps, evaluation tooling, and cross-team applied AI strategy. Requires 5+ years building ML/AI infrastructure at scale.
Senior Algorithm and Machine Learning Engineer building, deploying, and maintaining deep learning models that analyze brain/biosignal data to advance neurological, psychiatric, and sleep therapy development. Requires 5+ years ML/DL experience in regulated/health fields, DSP/stats proficiency, PyTorch expertise, and full algorithm lifecycle ownership.
Staff Machine Learning Engineer designing, training, and deploying advanced ML models (DNNs, transformers, RL) for Reddit's large-scale online advertising ranking, optimization, and marketplace systems. Requires Master's, 3+ years experience, technical leadership, and expertise in production ML systems.
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Senior Software Engineer at Reddit building scalable distributed systems, integrating applied ML and Generative AI for real-time search, ad ranking, and data pipelines to drive advertiser revenue growth. Requires BS in CS/Engineering and 5+ years experience.
Build and own evaluation systems, metrics, pipelines, and datasets to rigorously measure the quality of Firecrawl's LLM-ready web data outputs at massive scale, driving model and product improvements.
Staff Software Engineer building and optimizing trusted agentic coding systems using generative AI, ML, and systems techniques. Requires 8+ years experience, fluency in multiple languages including Python/TS, deep concurrent programming knowledge, and API/documentation skills.
Senior Application Engineer building and deploying AI Agents with Salesforce Agentforce, intelligent automations, and custom Salesforce applications. Requires 5+ years experience, specific Salesforce certifications (Platform Developer I/II, Advanced Admin, Agentforce Specialist), strong coding and DevOps skills, and mentoring ability.
Lead Ideogram's open-source ML efforts by converting internal research into high-quality public models, code, and demos while growing the developer community through blogs, conferences, and GitHub/Hugging Face maintenance. Requires advanced ML research experience, strong Python/PyTorch skills, and a passion for open science.
Build and own the core AI platform powering an AI-native trading copilot. Develop high-performance Rust backend for streaming, tool execution, and safe trading actions; design robust APIs with observability and security. Requires 8+ years systems programming experience.
Own reliability and quality for an AI copilot in a trading platform. Design evaluation systems, benchmarks, quality gates, model improvement loops, and AI monitoring for correctness, safety, and performance in market analysis and trading workflows. Requires 8+ years production software experience and strong ML eval expertise.
Build high-performance Rust backend and core AI platform powering an AI-native trading copilot with streaming, low-latency tools, safe trading actions, and robust APIs. Requires 8+ years experience in systems programming, production services, and architecture.
Senior Agent Engineer owning multi-step agentic systems, model selection/fine-tuning, retrieval, evaluations, and cost/latency optimization for Sourcegraph's code intelligence products like Deep Search. Requires staff-level experience building reliable production AI agents blending software engineering, ML, and statistics.
Lead architectural design and implementation of production-grade multi-agent frameworks, LLM orchestration, and autonomous AI agent systems from the ground up at Mozilla's New Products incubator. Requires 7+ years software engineering experience including 2+ years building agentic systems, startup mentality, and deep proficiency with AI tooling.
Lead architectural design and implementation of next-generation AI agent frameworks, multi-agent orchestration, and LLM workflows at Mozilla's New Products incubator. Requires 7+ years software engineering experience including 2+ years building production agentic systems, startup mentality, and deep proficiency with AI coding tools.
Own the research-to-production pipeline at Deepgram, turning experimental speech ML models into reliable, scalable production services. Partner with researchers on robust workflows, automated release gates, inference optimization, and feedback loops across hybrid GPU infrastructure.
Backend Engineer building and optimizing Deepgram's core inference services for speech processing, including networking, audio transcoding, latency/memory optimization, and distributed compute orchestration. Requires 3+ years experience with Rust (or C/C++) and Python.
Senior technical leader building, productionizing and operating large-scale ML models and Agentic AI systems to fight fraud, ensure safety and build trust across Airbnb's platform. Requires 12+ years applied ML experience and deep expertise in LLMs/GenAI.
Build and maintain scalable cloud-native AI/ML infrastructure and MLOps pipelines on Databricks, AWS, and related tools. Requires 7+ years experience, expert Python/TypeScript skills, and production MLFlow/AWS expertise to support reliable AI model deployment and RAG use cases.
Senior ML Engineer on Airbnb's Relevance and Personalization team building end-to-end ranking algorithms, models, and infrastructure for search, recommendations, and marketplace optimization using large-scale structured and unstructured data.
Lead and mentor an MLOps team to build scalable ML infrastructure, automated pipelines, and low-latency model serving for large tabular models. Requires 7+ years MLOps experience including 3+ years leading teams, deep expertise in Kubernetes, model serving frameworks, and observability tools.
Senior technical IC owning the Modeling to ML Serving to API architecture for Airbnb's Host Pricing platform. Lead unified serving stack, backfill/evaluation infrastructure, and domain contracts between ML modeling and serving teams.
Senior Engineer building production-grade applied AI systems, LLM-powered tools, retrieval/memory patterns, and human-in-the-loop workflows to create organizational intelligence for home care operations. Requires Python experience, production system design skills, and cross-functional collaboration.
Research Scientist II building and improving fraud risk models and scam detection systems using audio, behavioral, and metadata signals. Requires an advanced degree and 3+ years of applied ML experience with Python and modern ML frameworks.
Technical leader building and scaling production-grade multi-agent AI systems for real-time voice, workflow automation, and enterprise tool execution. Requires 8+ years experience and deep expertise in LLM platforms, agent frameworks, and distributed systems.
Build and evolve auction, bidding, and budgeting ML systems that power Reddit Ads. Design optimization algorithms balancing advertiser performance, user experience, and marketplace efficiency.
Staff-level AI engineer building and shipping LLM/agent-powered observability features that help users detect, triage, and resolve incidents. Requires strong production software engineering experience plus practical GenAI/LLM skills.
Build and productionize ML systems for real-time bidding, campaign optimization, and incrementality measurement in a CTV ad platform. Requires strong Python, ML fundamentals, and 4+ years experience.
Hybrid ML/SRE role owning reliability, security, and safety of a large fleet of generative media model APIs (image, video, audio). Build observability for ML-specific failures, harden deployments, operationalize safety systems, lead incident response, and improve GPU fleet efficiency.
Own the full lifecycle of ML models for risk detection — from data ingestion and pipeline building to LLM/Generative AI model development, deployment, and measuring business impact in a SaaS platform. Requires 5+ years spanning data engineering and production ML.
Staff-level engineer building and operating Coinbase's LLM/agent infrastructure including gateway, runtime, knowledge bases, and applied AI agents. Own multi-quarter platform initiatives and partner with frontier labs.
Build full-stack AI systems including agentic workflows, RAG pipelines, and production infrastructure for mental healthcare applications. Requires 2+ years software engineering experience and 1+ year with LLMs or agentic AI.
Build and deploy cutting-edge ML and Generative AI systems to transform Airbnb's customer support experience, focusing on LLM fine-tuning, RAG, and intelligent service automation.
Tech Lead driving AI R&D and end-to-end delivery of production-ready prototypes using full-stack development, LLMs, and emerging technologies. Requires 10+ years experience and strong autonomy.
Build and evolve shared AI/ML infrastructure including LLM proxy server, observability tooling, and ML Ops platform capabilities. Focus on LLM Ops and ML Ops to improve how models are accessed, monitored, evaluated, deployed, and governed in production.
Build large-scale ML experimentation and training orchestration platforms, including agentic AI execution systems, to accelerate Ads ML development at Reddit. Requires 5+ years infrastructure experience and 2+ years building production ML platforms.
Build and improve large-scale ML models for personalization and recommendation across Pinterest surfaces including Shopping. Requires 5+ years applying ML methods and experience with big data pipelines.
Senior Research Engineer building data synthesis, analysis, and management tooling for AI safety model training and evaluation. Requires strong software engineering, statistics, and ML framework expertise.
Senior ML Engineer focused on fine-tuning and deploying LLMs and generative AI features into Firefox, emphasizing privacy, latency, and user experience.
Senior Engineer building multi-agent AI systems, LLM integrations, and backend automation services that power Marketing Operations. Owns technical direction for agentic infrastructure connecting models to business systems.
Build and deploy cutting-edge Agentic AI and LLM systems to transform Airbnb's customer service experience, including Chat and Voice AI assistants. Requires 6+ years experience with production ML/AI systems at scale.
Technical leader for Reddit's Notifications Relevance ML systems, driving large-scale recommendation systems spanning retrieval, ranking, budget optimization, and LLM-powered experiences.
Design, build, and deploy production ML systems for recommendations, search, ranking, and advertising at internet scale. Own the full ML lifecycle from modeling to monitoring with strong cross-functional collaboration.
Senior or Staff Applied Research Software Engineer building AI/ML prototypes and production solutions. Requires 3-5+ years full-stack experience with modern web frameworks, databases, and strong AI-assisted coding skills.
Design and build scalable ML ranking systems powering Reddit's personalized feeds, search, and recommendations at massive scale. Requires 5+ years building large-scale distributed ML systems.
Senior IC building and maintaining ML underwriting and credit decisioning models for Cash App Borrow and Afterpay. Owns full modeling lifecycle including experimentation, calibration, deployment, and monitoring.