Remote CUDA Kernel Optimizer - ML Engineer - AI Trainer ($120-$250 per hour)Mercor • Marysville, Washington, US
[error_messages.no_longer_accepting]
Remote CUDA Kernel Optimizer - ML Engineer - AI Trainer ($120-$250 per hour)
Mercor • Marysville, Washington, US
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
- [filters.remote]
[job_card.job_description]2) Key Responsibilities Develop, tune, and benchmark CUDA kernels for tensor and operator workloads. - Optimize for occupancy, memory coalescing, instruction-level parallelism, and warp scheduling. - Profile and diagnose performance bottlenecks using Nsight Systems, Nsight Compute, and comparable tools. - Report performance metrics, analyze speedups, and propose architectural improvements. - Collaborate asynchronously with PyTorch Operator Specialists to integrate kernels into production frameworks. - Produce well-documented, reproducible benchmarks and performance write-ups. ### 3) Ideal Qualifications Deep expertise in CUDA programming, GPU architecture, and memory optimization. - Proven ability to achieve quantifiable performance improvements across hardware generations. - Proficiency with mixed precision, Tensor Core usage, and low-level numerical stability considerations. - Familiarity with frameworks like PyTorch, TensorFlow, or Triton (not required but beneficial). - Strong communication skills and independent problem-solving ability. - Demonstrated open-source, research, or performance benchmarking contributions. ### 4) More About the Opportunity Ideal for independent contractors who thrive in performance-critical, systems-level work. - Engagements focus on measurable, high-impact kernel optimizations and scalability studies. - Work is fully remote and asynchronous; deliverables are outcome-driven. - Access to shared benchmarking infrastructure and reproducibility tooling via Mercor support resources. ### 5) Compensation & Contract Terms Typical range : $120–$250 / hour , depending on scope, specialization, and results achieved. Payments will be based on accepted task output over flat hourly. - Structured as a contract-based engagement , not an employment relationship. - Compensation tied to measurable deliverables or agreed milestones. - Confidentiality, IP, and NDA terms as defined per engagement. ### 6) Application Process Submit a brief overview of prior CUDA optimization experience, profiling results, or performance reports. - Include links to relevant GitHub repos, papers, or benchmarks if available. - Indicate your hourly rate, time availability, and preferred engagement length. - Selected experts may complete a small, paid pilot kernel optimization project ### 7) About Mercor Mercor connects domain experts with top AI research and technology organizations through project-based contracts. - Contractors operate independently, with full flexibility over methods, timelines, and tools. - Our mission is to help top engineers and researchers access frontier technical work without rigid employment structures.
###
- 1) Role Overview
Mercor is engaging advanced CUDA experts who specialize in GPU kernel optimization, performance profiling, and numerical efficiency. These professionals possess a deep mental model of how modern GPU architectures execute deep learning workloads. They are comfortable translating algorithmic concepts into finely tuned kernels that maximize throughput while maintaining correctness and reproducibility, ###
[job_alerts.create_a_job]
Ml Engineer • Marysville, Washington, US
[internal_linking.similar_jobs]
Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference.
The platform has been powering MLEs, researchers, data scientists and opera...[show_more]
A leading tech company in Seattle is seeking a Machine Learning Platform Engineer to develop and maintain a comprehensive machine learning platform.
The ideal candidate will have over 5 years of exp...[show_more]
A leading technology company in Seattle seeks a skilled Machine Learning Engineer II to develop ML-powered features and enhance traveler experiences across its brands.
Candidates should have experie...[show_more] At Mercor, we’re building the talent engine that helps leading labs and research orgs move AI forward.Our latest initiative focuses on benchmarking and improving model performance and training spee...[show_more] 
LLM-based application development.In this role, you will help build the next generation of.Your work will power intelligent, real-time decisions for.
RAG), fine-tuning, or function calling.Build mod...[show_more]
Rippling is the first way for businesses to manage all of their HR & IT—payroll, benefits, computers, apps, and more—in one unified workforce platform.
By connecting every business system to one sou...[show_more]
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives.The work you do with our team will directly improve health outcomes by connect...[show_more]
A leading global alternative investment firm is seeking a Machine Learning Engineer for their Technology team in Seattle.
This role involves developing scalable AI / ML systems and collaborating with ...[show_more]
The Onyx Research Data Tech organization is GSK’s Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale.We partner with scien...[show_more]
We are seeking a talented and experienced.AI / ML solutions that make an impact in the lives of millions.As an AI / ML Engineer, you will work closely with our ML and Data Engineers to turn Machine...[show_more]
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science.We stand out as an agency thats deeply embedded in our clients recruitment ope...[show_more]
A defense technology company is seeking AI Engineers to innovate military capabilities through machine learning and AI systems.
The role involves distilling transformer architectures and developing ...[show_more]
A leading technology company in Seattle, Washington is seeking a Machine Learning Engineer to join their Answers, Knowledge & Information team.
The role involves shaping user experiences for product...[show_more] The Apple Machine Translation team is seeking exceptional researchers and scientists to contribute to the development of the next generation of core machine translation (MT) technology and large la...[show_more] 
A defense technology company is seeking an experienced AI Engineer to work on their Lattice software platform.This role involves developing and improving machine learning algorithms, working with c...[show_more] A leading tech company in Seattle is seeking a Machine Learning Efficiency Engineer to develop scalable solutions for AI-driven experiences.
The ideal candidate will have a PhD or Master's degree in...[show_more] 
A leading technology company in Seattle is seeking a Machine Learning Engineer to join its Sponsored Products and Brands team.
You will design scalable services and collaborate on innovative AI solu...[show_more] Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives.The work you do with our team will directly improve health outcomes by connect...[show_more]
ML Research Engineer, ML Systems
Scale AI, Inc. • Seattle, WA, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
ML Platform Engineer for Large-Scale Training Infra
NLP PEOPLE • Seattle, WA, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
ML Engineer II — Ranking & Recommendations
Work180 • Seattle, WA, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
Remote Machine Learning Engineer - AI Trainer ($80-$120 per hour)
Mercor • Everett, Washington, US
[filters.remote]
[job_card.part_time]
[last_updated.last_updated_variable_days] • [promoted]
Senior AI / ML Engineer Generative AI & Autonomous Agents (10034, 10035)
Extreme Networks • Seattle, Washington, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Senior Staff Machine Learning Engineer
Rippling • Seattle, Washington, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Director, AI / ML Engineering – Remote
UnitedHealth Group • Bellevue, Washington, US
[filters.remote]
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
GenAI ML Engineer - Build Scalable AI / ML Systems
Point72 • Seattle, WA, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
Senior AIML Optimization Engineer
GSK • Seattle, Washington, US
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
AI / ML Engineer
Belva.ai • Bellevue, WA, US
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Applied AI / ML Engineer
Catalyst Labs • Seattle, WA, US
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Edge ML Research Engineer — Transformer AI for Defense
Anduril Industries • Seattle, WA, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
Senior ML Engineer — Real-Time AI & Information Retrieval
Apple Inc. • Seattle, WA, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
AI / ML – Machine Learning Research Engineer, Machine Translation
NLP PEOPLE • Seattle, WA, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
Edge ML Research Engineer – Transformer AI for Defense
Slope • Seattle, WA, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
ML Efficiency Engineer — Scale Training & Open Source
Apple Inc. • Seattle, WA, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
ML Engineer - Search Relevance & Generative AI
Amazon • Seattle, WA, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
Senior AI / ML Engineer – Remote
UnitedHealth Group • Seattle, Washington, US
[filters.remote]
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]