Characterize, analyze, and optimize performance of state-of-the-art AI models on Cerebras' wafer-scale hardware. Build performance models, optimize kernels and compilers, debug runtime behavior, and develop visualization tools to influence next-gen AI architecture.
Senior ML Engineer building observability, evaluation frameworks, and improvement loops for production agentic AI systems. Requires 5+ years production ML/LLM experience, strong grounding in agent design or evaluation, and hands-on work taking systems from prototype to scale.
Build platform infrastructure for observing, evaluating, and improving production AI agents at scale. Requires 4+ years software engineering experience with ML/LLM systems, strong backend/distributed systems skills, and collaboration with ML engineers.
Build and optimize the RL training framework and infrastructure for large-scale workloads at SpaceXAI, from ablations to production runs. Requires experience with distributed systems and proficiency in Python, JAX, Rust, or C++.
Research Engineer on OpenAI's Privacy team designing and prototyping privacy-preserving ML algorithms like differential privacy and federated learning at scale. Requires hands-on PETs experience, fluency in PyTorch/JAX, and a track record implementing or publishing novel privacy work.
Staff Software Engineer building and scaling Jade, Chime's LLM-powered AI financial assistant. Sets technical direction for agent systems, evals, and guardrails while staying hands-on with prototyping, backend services, and cross-functional product delivery. Requires 8+ years production experience, deep AI/LLM fluency, and technical leadership.
Research Engineer building self-improving AI agent systems at Console. Develop eval/optimization loops, fine-tune specialist models, and improve agent reasoning over enterprise context using production data to drive measurable gains in quality, latency, and reliability.
Build and optimize scalable AI infrastructure for real-time inference, evaluation, and continuous improvement of LLMs, LVMs, computer vision, and multimodal models on large-scale video data. Requires 4+ years production ML systems experience, strong Python skills, and expertise in inference optimization and model serving.
New grad software engineer optimizing performance of autonomous vehicle software. Profile, debug, and reduce latency of C++ systems running on x86, ARM, and GPUs while building tools for memory management and high-performance code.
Build and own validation pipelines, CI/CD infrastructure, and platform integrations to launch frontier models and inference features reliably across AWS, GCP, and Azure. Requires strong large-scale distributed systems experience and track record improving release velocity.
Senior AI Engineer building agentic workflows and orchestration layers to automate manual business processes for operations, sales, and customer support teams. Requires 7+ years software engineering experience, production LLM/agent expertise, and strong Python/TypeScript skills.
Build and scale the shared AI platform foundations at Notion, enabling fast and safe shipping of AI products. Requires experience with LLM/ML platforms, strong ownership, and comfort across backend, infrastructure, and product code.
Senior AI Engineer building scalable backend services, distributed systems, and reusable AI platform components (agent frameworks, evaluation pipelines, SDKs) that power Snowflake's internal agentic applications for GTM teams. Requires 5+ years software engineering experience, strong Python/FastAPI skills, and production LLM experience.
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.
Research Engineer advancing RL for silicon chip design at Anthropic. Design RL environments for RTL generation, verification, and physical optimization; requires deep ASIC/FPGA expertise from spec to tapeout.
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.
Build synthetic data pipelines and tasks to train frontier AI agents. Requires Python, Docker, Linux, and experience creating realistic, scalable synthetic training data for models and evals.
Build QC automation systems for RL training data and agent evals at HUDHUD. Design quality standards, validation pipelines, experiments and metrics without heavy LLM reliance; partner with vendors to debug and improve data generation. Requires Python, Docker, Linux and experience building scalable QA/QC systems end-to-end.
Applied Research Engineer owning technical deployment requests, troubleshooting, building tools/pipelines, and resolving ambiguous problems for frontier AI labs and data vendors at HUDHUD. Requires strong Python/Docker/Linux skills, eval/benchmark experience, independent problem-solving in fast-paced ambiguous settings.
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 developing state-of-the-art visual encoders and multimodal models at Pinterest Labs. Prototype visual reasoning tools, train billion-scale models on rich visual-text data, ship to production for recommender systems and VLMs, publish research, and mentor juniors. Requires strong CV/ML background, publications, and PhD or equivalent.
Early-career Software Engineer building and iterating on agentic LLM systems, RAG pipelines, evaluation frameworks, and backend/frontend components for AI-powered clinical documentation at Abridge. Requires CS degree or equivalent plus hands-on GenAI experience from projects, internships or coursework.
Build and maintain scalable cloud ML infrastructure and CI/CD pipelines to productionalize models for Data Science and AI teams at WHOOP. Requires 2+ years software engineering focused on ML infrastructure, Python/Java, cloud services, and ML lifecycle knowledge.
Build and own ML models, fine-tuning, evaluation harnesses, and routing for Kepler's AI agent harness in finance. Requires 5+ years production software experience and shipped ML systems focused on correctness, evals, and real-world reliability.
Build and scale video generation models at Mirage. Optimize training/inference for low-latency, real-time performance using PyTorch, CUDA, and distributed systems. Requires 2+ years industry experience in deep learning infrastructure.
ML Engineer building and improving agentic systems powered by LLMs for multimodal video understanding, reasoning, and creative editing tasks at an AI-native video platform. Requires strong production ML experience with transformers, fine-tuning, and experimental rigor.
Build and ship end-to-end agentic systems and architectures for creative video workflows at an AI-native video platform. Requires 5+ years building production ML/agentic pipelines, deep RAG/context engineering experience, and strong evaluation skills.
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 scale Traba's applied AI platform for industrial supply chain staffing and operations. Architect core backend systems integrating frontier models and agents for automation, matching, and vetting while owning performance and infrastructure.
Build and lead Traba's agentic AI platform as a founding member of the Agents team. Architect orchestration, evals, model strategy, and integrations for autonomous agents in industrial supply chain workflows. Requires 7+ years engineering experience including production LLM/agent systems, with customer immersion and 0-to-1 build experience.
Build and own production AI agent systems (harnesses, evals, orchestration) on frontier LLMs for industrial supply chain workflows at Traba. Requires 5+ years software engineering with 1+ year shipping LLM/agent features, strong Python/TS, and high-agency customer immersion.
Build and own production AI agent systems (harnesses, evals, orchestration) on frontier LLMs for industrial supply chain workflows at Traba. Requires 1+ years shipping LLM/agent features to production, strong Python/TS skills, and high-agency in ambiguous customer environments.
Machine Learning Engineer owning the full ML lifecycle for multimodal video datasets at Sieve. Fine-tune VLMs, build evaluation/QA pipelines with frontier models, design filtering systems over internet-scale data, and ship production improvements for top AI labs. Requires strong Python, PyTorch, and production ML experience.
Early-career Quantitative Researcher developing ML models and trading signals to predict asset movements and build market-neutral portfolios. Requires STEM degree, Python fluency, and passion for machine learning; embedded in Alpha, Data Science, or Strategy teams.
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.
Build production ML systems for measuring, predicting, and scaling data quality for frontier AI models. Requires 3-6 years experience in applied ML or related production systems (ranking, recommendations, data quality, fraud) plus strong software engineering skills.
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.
Develop synthetic sensor simulation models and algorithms using ML techniques like NeRF and Gaussian splatting to generate photorealistic images and realistic lidar/radar data for autonomous vehicles. Requires advanced degree plus 3-5+ years experience, strong ML fundamentals, and Python/deep learning expertise.
Senior Data Scientist building and improving production LLM agents, workflows, and internal AI applications for Rippling's GTM teams (Sales, RevOps, Customer Success). Combines applied AI development, full-stack engineering, data pipelines, ML experimentation, and evaluation infrastructure.
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.
Build and operate production ML infrastructure powering Claude's safety systems, including critical backend services on the token generation path, SLOs, observability, incident response, and platform-agnostic deployment tooling across 1P and 3P clouds. Requires deep distributed systems and on-call experience at scale; ML/transformer familiarity not required.
Develop and integrate real-time sensor perception and fusion algorithms for autonomous vehicles across land, air, sea, and space domains. Requires MS/PhD or 5+ years experience with multi-modal sensors (EO/IR/radar), ML deployment, and DoD clearance eligibility.
Build and deploy production GenAI/LLM applications and intelligent agents to automate workflows across Procurement, Supply Chain, Legal, Finance, HR, and Marketing. Requires 5+ years engineering experience including 2+ years production LLMs, Python, LangChain/LlamaIndex, and cloud AI/vector DB tools.
Senior C++ Software Engineer building multi-agent optimization, planning, and decision-making algorithms for collaborative autonomy and human-machine teaming in defense applications. Requires 5+ years modern C++ experience, strong algorithmic background, and US SECRET clearance eligibility.
Senior C++ Software Engineer building multi-agent optimization, planning, and decision-making algorithms for collaborative autonomy and human-machine teaming in defense applications. Requires 5+ years modern C++ experience, strong algorithmic foundations, and eligibility for US SECRET clearance.
Characterize, analyze, and optimize performance of state-of-the-art AI models on Cerebras' wafer-scale hardware. Build performance models, optimize kernels and compilers, debug runtime behavior, and develop visualization tools to influence next-gen AI architecture.
Senior ML Engineer building observability, evaluation frameworks, and improvement loops for production agentic AI systems. Requires 5+ years production ML/LLM experience, strong grounding in agent design or evaluation, and hands-on work taking systems from prototype to scale.
Build platform infrastructure for observing, evaluating, and improving production AI agents at scale. Requires 4+ years software engineering experience with ML/LLM systems, strong backend/distributed systems skills, and collaboration with ML engineers.
Build and optimize the RL training framework and infrastructure for large-scale workloads at SpaceXAI, from ablations to production runs. Requires experience with distributed systems and proficiency in Python, JAX, Rust, or C++.
Research Engineer on OpenAI's Privacy team designing and prototyping privacy-preserving ML algorithms like differential privacy and federated learning at scale. Requires hands-on PETs experience, fluency in PyTorch/JAX, and a track record implementing or publishing novel privacy work.
Staff Software Engineer building and scaling Jade, Chime's LLM-powered AI financial assistant. Sets technical direction for agent systems, evals, and guardrails while staying hands-on with prototyping, backend services, and cross-functional product delivery. Requires 8+ years production experience, deep AI/LLM fluency, and technical leadership.
Research Engineer building self-improving AI agent systems at Console. Develop eval/optimization loops, fine-tune specialist models, and improve agent reasoning over enterprise context using production data to drive measurable gains in quality, latency, and reliability.
Build and optimize scalable AI infrastructure for real-time inference, evaluation, and continuous improvement of LLMs, LVMs, computer vision, and multimodal models on large-scale video data. Requires 4+ years production ML systems experience, strong Python skills, and expertise in inference optimization and model serving.
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New grad software engineer optimizing performance of autonomous vehicle software. Profile, debug, and reduce latency of C++ systems running on x86, ARM, and GPUs while building tools for memory management and high-performance code.
Build and own validation pipelines, CI/CD infrastructure, and platform integrations to launch frontier models and inference features reliably across AWS, GCP, and Azure. Requires strong large-scale distributed systems experience and track record improving release velocity.
Senior AI Engineer building agentic workflows and orchestration layers to automate manual business processes for operations, sales, and customer support teams. Requires 7+ years software engineering experience, production LLM/agent expertise, and strong Python/TypeScript skills.
Build and scale the shared AI platform foundations at Notion, enabling fast and safe shipping of AI products. Requires experience with LLM/ML platforms, strong ownership, and comfort across backend, infrastructure, and product code.
Senior AI Engineer building scalable backend services, distributed systems, and reusable AI platform components (agent frameworks, evaluation pipelines, SDKs) that power Snowflake's internal agentic applications for GTM teams. Requires 5+ years software engineering experience, strong Python/FastAPI skills, and production LLM experience.
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.
Research Engineer advancing RL for silicon chip design at Anthropic. Design RL environments for RTL generation, verification, and physical optimization; requires deep ASIC/FPGA expertise from spec to tapeout.
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.
Build synthetic data pipelines and tasks to train frontier AI agents. Requires Python, Docker, Linux, and experience creating realistic, scalable synthetic training data for models and evals.
Build QC automation systems for RL training data and agent evals at HUDHUD. Design quality standards, validation pipelines, experiments and metrics without heavy LLM reliance; partner with vendors to debug and improve data generation. Requires Python, Docker, Linux and experience building scalable QA/QC systems end-to-end.
Applied Research Engineer owning technical deployment requests, troubleshooting, building tools/pipelines, and resolving ambiguous problems for frontier AI labs and data vendors at HUDHUD. Requires strong Python/Docker/Linux skills, eval/benchmark experience, independent problem-solving in fast-paced ambiguous settings.
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 developing state-of-the-art visual encoders and multimodal models at Pinterest Labs. Prototype visual reasoning tools, train billion-scale models on rich visual-text data, ship to production for recommender systems and VLMs, publish research, and mentor juniors. Requires strong CV/ML background, publications, and PhD or equivalent.
Early-career Software Engineer building and iterating on agentic LLM systems, RAG pipelines, evaluation frameworks, and backend/frontend components for AI-powered clinical documentation at Abridge. Requires CS degree or equivalent plus hands-on GenAI experience from projects, internships or coursework.
Build and maintain scalable cloud ML infrastructure and CI/CD pipelines to productionalize models for Data Science and AI teams at WHOOP. Requires 2+ years software engineering focused on ML infrastructure, Python/Java, cloud services, and ML lifecycle knowledge.
Build and own ML models, fine-tuning, evaluation harnesses, and routing for Kepler's AI agent harness in finance. Requires 5+ years production software experience and shipped ML systems focused on correctness, evals, and real-world reliability.
Build and scale video generation models at Mirage. Optimize training/inference for low-latency, real-time performance using PyTorch, CUDA, and distributed systems. Requires 2+ years industry experience in deep learning infrastructure.
ML Engineer building and improving agentic systems powered by LLMs for multimodal video understanding, reasoning, and creative editing tasks at an AI-native video platform. Requires strong production ML experience with transformers, fine-tuning, and experimental rigor.
Build and ship end-to-end agentic systems and architectures for creative video workflows at an AI-native video platform. Requires 5+ years building production ML/agentic pipelines, deep RAG/context engineering experience, and strong evaluation skills.
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 scale Traba's applied AI platform for industrial supply chain staffing and operations. Architect core backend systems integrating frontier models and agents for automation, matching, and vetting while owning performance and infrastructure.
Build and lead Traba's agentic AI platform as a founding member of the Agents team. Architect orchestration, evals, model strategy, and integrations for autonomous agents in industrial supply chain workflows. Requires 7+ years engineering experience including production LLM/agent systems, with customer immersion and 0-to-1 build experience.
Build and own production AI agent systems (harnesses, evals, orchestration) on frontier LLMs for industrial supply chain workflows at Traba. Requires 5+ years software engineering with 1+ year shipping LLM/agent features, strong Python/TS, and high-agency customer immersion.
Build and own production AI agent systems (harnesses, evals, orchestration) on frontier LLMs for industrial supply chain workflows at Traba. Requires 1+ years shipping LLM/agent features to production, strong Python/TS skills, and high-agency in ambiguous customer environments.
Machine Learning Engineer owning the full ML lifecycle for multimodal video datasets at Sieve. Fine-tune VLMs, build evaluation/QA pipelines with frontier models, design filtering systems over internet-scale data, and ship production improvements for top AI labs. Requires strong Python, PyTorch, and production ML experience.
Early-career Quantitative Researcher developing ML models and trading signals to predict asset movements and build market-neutral portfolios. Requires STEM degree, Python fluency, and passion for machine learning; embedded in Alpha, Data Science, or Strategy teams.
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.
Build production ML systems for measuring, predicting, and scaling data quality for frontier AI models. Requires 3-6 years experience in applied ML or related production systems (ranking, recommendations, data quality, fraud) plus strong software engineering skills.
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.
Develop synthetic sensor simulation models and algorithms using ML techniques like NeRF and Gaussian splatting to generate photorealistic images and realistic lidar/radar data for autonomous vehicles. Requires advanced degree plus 3-5+ years experience, strong ML fundamentals, and Python/deep learning expertise.
Senior Data Scientist building and improving production LLM agents, workflows, and internal AI applications for Rippling's GTM teams (Sales, RevOps, Customer Success). Combines applied AI development, full-stack engineering, data pipelines, ML experimentation, and evaluation infrastructure.
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.
Build and operate production ML infrastructure powering Claude's safety systems, including critical backend services on the token generation path, SLOs, observability, incident response, and platform-agnostic deployment tooling across 1P and 3P clouds. Requires deep distributed systems and on-call experience at scale; ML/transformer familiarity not required.
Develop and integrate real-time sensor perception and fusion algorithms for autonomous vehicles across land, air, sea, and space domains. Requires MS/PhD or 5+ years experience with multi-modal sensors (EO/IR/radar), ML deployment, and DoD clearance eligibility.
Build and deploy production GenAI/LLM applications and intelligent agents to automate workflows across Procurement, Supply Chain, Legal, Finance, HR, and Marketing. Requires 5+ years engineering experience including 2+ years production LLMs, Python, LangChain/LlamaIndex, and cloud AI/vector DB tools.
Senior C++ Software Engineer building multi-agent optimization, planning, and decision-making algorithms for collaborative autonomy and human-machine teaming in defense applications. Requires 5+ years modern C++ experience, strong algorithmic background, and US SECRET clearance eligibility.
Senior C++ Software Engineer building multi-agent optimization, planning, and decision-making algorithms for collaborative autonomy and human-machine teaming in defense applications. Requires 5+ years modern C++ experience, strong algorithmic foundations, and eligibility for US SECRET clearance.