{"schemaVersion":"jobsearcher.job.v1","id":"055fcb8dae1e03bbeb7ecb4d","url":"https://jobsearcher.com/jobs/055fcb8dae1e03bbeb7ecb4d","canonicalUrl":"https://jobsearcher.com/jobs/055fcb8dae1e03bbeb7ecb4d","title":"MLOps Engineer - AI Systems","description":"About The JobMercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.Position: MLOps Engineer, LLM Performance (Kernels, Profiling, Serving)Type: ContractCompensation: $90–$120/hourLocation: RemoteCommitment: 40 hours/weekRole ResponsibilitiesDesign challenging tasks across kernels, profiling, debugging, and inference serving. Write accurate, well-structured solutions to expose where frontier models fail on accelerator code.Guide research and engineering teams to close knowledge gaps and improve AI model performance on ML systems, compilers, and training infrastructure topics.Evaluate ML systems tasks and solutions. Provide clear written technical feedback that stands up to expert review.Develop guidelines and detailed rubrics covering kernel optimization, profiler output interpretation, distributed systems reasoning, and serving throughput and latency trade-offs.Collaborate with other subject matter experts to keep training data consistent and accurate.QualificationsMust-Have2+ years of hands-on professional experience in ML systems, ML infrastructure, model serving, or accelerator performance engineering.Practical experience in writing or optimizing custom kernels (Pallas, Triton, CUDA, CUTLASS), performance profiling and trace analysis (JAX/XLA profiler, Kineto, torch.profiler, Nsight), debugging distributed or accelerator-bound workloads, serving large language models at scale (vLLM, SGLang, TensorRT-LLM, JetStream, KV cache, paged attention, continuous batching).Working production experience with JAX and/or PyTorch. Framework-level depth is a strong plus: custom operators, sharding and distributed training (pjit/shard_map, FSDP, Megatron, MaxText), or compiler and graph-level work (XLA/StableHLO, torch.compile, MLIR).Experience with modern accelerators such as TPU (v4 to v6e), H100, B200, Trainium or MI300, and the ability to reason about throughput, latency, and memory trade-offs.Demonstrable career progression.Ability to engage reliably for at least 40 hours/week during weekdays.Strong written communication skills and the ability to explain complex technical decisions clearly.Compensation & LegalHourly contractorPaid weekly via Stripe ConnectApplication Process (Takes 20–30 mins to complete)Upload resumeAI interview based on your resumeSubmit formResources & SupportFor details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.","company":"Mercor","rawCompany":"mercor","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-25T04:06:11.383Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"MLOps Engineer - AI Systems","description":"About The JobMercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.Position: MLOps Engineer, LLM Performance (Kernels, Profiling, Serving)Type: ContractCompensation: $90–$120/hourLocation: RemoteCommitment: 40 hours/weekRole ResponsibilitiesDesign challenging tasks across kernels, profiling, debugging, and inference serving. Write accurate, well-structured solutions to expose where frontier models fail on accelerator code.Guide research and engineering teams to close knowledge gaps and improve AI model performance on ML systems, compilers, and training infrastructure topics.Evaluate ML systems tasks and solutions. Provide clear written technical feedback that stands up to expert review.Develop guidelines and detailed rubrics covering kernel optimization, profiler output interpretation, distributed systems reasoning, and serving throughput and latency trade-offs.Collaborate with other subject matter experts to keep training data consistent and accurate.QualificationsMust-Have2+ years of hands-on professional experience in ML systems, ML infrastructure, model serving, or accelerator performance engineering.Practical experience in writing or optimizing custom kernels (Pallas, Triton, CUDA, CUTLASS), performance profiling and trace analysis (JAX/XLA profiler, Kineto, torch.profiler, Nsight), debugging distributed or accelerator-bound workloads, serving large language models at scale (vLLM, SGLang, TensorRT-LLM, JetStream, KV cache, paged attention, continuous batching).Working production experience with JAX and/or PyTorch. Framework-level depth is a strong plus: custom operators, sharding and distributed training (pjit/shard_map, FSDP, Megatron, MaxText), or compiler and graph-level work (XLA/StableHLO, torch.compile, MLIR).Experience with modern accelerators such as TPU (v4 to v6e), H100, B200, Trainium or MI300, and the ability to reason about throughput, latency, and memory trade-offs.Demonstrable career progression.Ability to engage reliably for at least 40 hours/week during weekdays.Strong written communication skills and the ability to explain complex technical decisions clearly.Compensation & LegalHourly contractorPaid weekly via Stripe ConnectApplication Process (Takes 20–30 mins to complete)Upload resumeAI interview based on your resumeSubmit formResources & SupportFor details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.","datePosted":"2026-10-25T04:06:11.383Z","dateModified":"2026-10-25T04:06:11.383Z","hiringOrganization":{"@type":"Organization","name":"Mercor","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"055fcb8dae1e03bbeb7ecb4d"},"url":"https://jobsearcher.com/jobs/055fcb8dae1e03bbeb7ecb4d"}}