Responsible for end-to-end model training strategy and data management for Commercial AI products (LLMs and traditional ML). Tasks include fine-tuning LLMs (QLoRA/LoRA/PEFT), building reproducible training pipelines, data governance/versioning, experiment tracking, distributed training and GPU optimization. Requires 12+ years of relevant AI/ML engineering or data engineering experience. US remote role; US base salary range $159,600–$207,500/year.

Lead the design of orchestration and abstraction layers that connect LLMs to tools, data, and sub-agents; build and operate MCP (Model Context Protocol) servers; define tool-surface strategy and multi-agent patterns. Own retrieval/RAG design (chunking, embeddings, vector stores, hybrid search, re-ranking), context-window and memory strategies, routing, observability, evaluation, and security controls. Requires deep hands-on experience with orchestration frameworks and retrieval systems, strong platform/API design skills, and at least 12 years of software/AI engineering experience.

NVIDIA seeks a Senior AI/Deep Learning Compiler Engineer to analyze deep learning networks and develop compiler optimization algorithms and code-generation techniques. The role requires strong CUDA and GPU performance debugging skills, experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton), and proficiency in C/C++ and Python. The position lists a minimum of 3+ years' relevant experience and provides a base salary range of 152,000–241,500 USD per year.

Gremlin seeks a Data Scientist, AI/ML to analyze millions of chaos engineering experiments and build ML systems that detect, classify, explain, and remediate failures. Responsibilities include pretraining/fine-tuning models, developing scalable data pipelines and feature stores for training and real-time inference, and applying techniques such as causal inference, graph ML, time-series modeling, and reinforcement learning. The role requires 5+ years of professional experience building and productionizing machine learning systems; the position is remote and based in the US and does not offer visa sponsorship.

Join the DIG team to design, build, and modernize backend, data processing, and ML systems that power product recommendations and discovery. Responsibilities include developing, testing, deploying, and maintaining software; integrating LLMs and agentic workflows; system design and mentorship. Preferred experience with GCP (BigQuery, Dataflow, Vertex AI), TensorFlow/PyTorch/scikit-learn, microservices (REST/gRPC), distributed systems, and MLOps. Minimum 3 years' work experience; must be legally permitted to work in the United States.

NVIDIA is hiring a Senior Platform AI Engineer to set technical direction and own end-to-end delivery of an efficiency platform used across silicon architecture, build, methodology, validation, and applied AI teams. The role requires 8+ years designing and operating production-grade platform or backend infrastructure, 5+ years in ML infrastructure, strong Python and at least one compiled language, and experience with job queues, sandboxed execution, and container runtimes.

Software Engineer II (remote) responsible for designing, developing, deploying, and supporting production applications with emphasis on ML/AI solutions. Requires experience with Python and at least one OOP language, ML frameworks (e.g., PyTorch, TensorFlow), SQL/NoSQL databases, cloud platforms (Azure/AWS/GCP), CI/CD and DevOps practices, microservices/APIs, testing, monitoring, and related engineering practices. Minimum 2 years' experience. Salary range (for listed locations) $90,000–$170,000/year.

Technical Engagement Lead responsible for architecting, prototyping, and shipping production agentic AI systems (RAG, multi-agent, inference) on NVIDIA stack and open tools; drive adoption with strategic ISV partners, coordinate cross-functional teams, and inform product and research priorities. Requires 12+ years in technical product/engineering/solutions roles, advanced AI/ML and deep learning experience, and proficiency with Python, PyTorch, MLOps, Kubernetes, and relevant agent/LLM tooling. Salary range provided: 224,000–431,250 USD base (location- and level-dependent).

Capital One seeks a Distinguished Engineer (full stack) to provide technical leadership across finance technology, drive architectural excellence, and lead AI-native engineering practices (AIOps, LLM/agentic systems). Requires expertise in software and solution architecture, distributed/HPC and ML systems, cloud platforms (AWS/Azure/GCP), data engineering, and hands-on coding (Python, Java, Go, Scala, JavaScript/TypeScript). Role is remote-eligible and includes mentoring and cross-team collaboration.

Udacity (an Accenture company) is hiring external contractors as technical mentors for Claude/Anthropic AI topics. The role is remote across multiple timezones and requires 5+ years of relevant technical experience and expertise in the Claude ecosystem (Claude API, Claude Code, Claude Agent SDK, MCP), agentic AI, prompt/context engineering, Python, REST/JSON, system architecture, CI/CD, SQL and production AI workflows. Responsibilities include 1:1 mentoring calls, technical deep-dive sessions, and group Q&A. US applicants must have work authorization that does not require visa sponsorship.

NVIDIA is hiring a Senior Deep Learning Software Engineer (Inference) to design, build, and optimize GPU-accelerated software and open-source inference frameworks. Responsibilities include performance optimization, scaling DL models across NVIDIA accelerators, and contributing to inference libraries (vLLM, SGLang, FlashInfer). Required: MS/PhD or equivalent, 5+ years software development experience, strong C/C++ skills; Python and GPU programming (CUDA, Triton, CUTLASS) experience are listed as pluses.

Serve as the principal technical authority in the Commercial AI Center of Excellence to define multi-year technical vision, reference architectures, and standards for AIaaS. Hands-on responsibility across data, model training and fine-tuning, retrieval/RAG, orchestration, evaluation, observability, and production operations, with emphasis on responsible AI, cloud optimization (Azure preferred), and mentoring senior engineers.

Remote Senior Machine Learning Engineer responsible for deploying and optimizing machine learning models for batch and real-time inference; designing secure, scalable REST APIs and microservices; and building production data pipelines and workflows using Azure and Databricks. Requires 5+ years of ML engineering/MLOps experience and strong Python skills. Preferred experience includes Azure ML, MLflow, dbt, Spark, Docker, and Kubernetes.

NVIDIA OpenShell seeks a senior research engineer to identify, prototype, benchmark, and integrate advances in agentic systems and LLM infrastructure into production runtime and developer tools. Requires 8+ years of relevant experience, MS/PhD or equivalent, deep experience with LLMs, agent harnesses, inference infrastructure, evaluation and safety approaches. Base salary range listed: 184,000–287,500 USD/year.

Senior/Staff backend role responsible for designing, implementing, testing, and operating services for context ingestion, indexing, retrieval APIs, and agent-facing integrations for an AI-native data intelligence system. Requires experience with LLMs/GenAI, cloud-native environments (e.g., AWS/GCP/Azure), observability practices, and building production-grade multi-tenant SaaS systems. Canada base compensation range listed (CAD 186,368–223,642).

Role involves designing and evaluating routing policies for LLM traffic, building and running agentic benchmarks, contributing code and design docs to open-source, and collaborating with research and engineering teams to integrate optimized inference solutions. Requires 8+ years' experience with deep learning frameworks (PyTorch or TensorFlow), strong ML and systems fundamentals, and experience in model evaluation and benchmarking.

Veeva is hiring a Technical Product Manager to lead design and delivery of AI Agent applications for Veeva Labeling, including prototyping, data flow/orchestration, model integration, and prompt engineering. Requires 5+ years of enterprise SaaS product/engineering/consulting experience with at least 2 years focused on AI/ML, coding ability in Python, experience with AI frameworks/APIs, and strong collaboration and communication skills. Must be based within one hour of the Eastern Time zone and able to travel ~20%.

Seeking a Research Scientist (PhD or equivalent) to conduct original research and build prototypes in generative and multimodal modeling for professional creative workflows. Work spans image, video, 3D, vector graphics, and design, with emphasis on controllability, editability, reusable assets, publication, and product-relevant prototypes. Strong programming skills in Python and PyTorch and a track record of research/publication are required.

Analyze customer detection tickets and malware (including reverse engineering and binary analysis), collaborate with internal teams (Data Science, TAMs, Malware Research Center) to improve ML detection efficacy and manage false positives. Requires programming/scripting (Python), OS knowledge (Windows, MacOS, Linux), and experience with malware/reverse engineering; U.S. base salary range $90,000–$125,000/year.

Mozilla seeks a Senior Staff (P5) Data Scientist to produce rigorous, large-scale analytical solutions, influence executive strategy, build cross-functional partnerships, and mentor data scientists. Required strengths include Python or R, SQL, statistics, strong communication, and technical leadership. The role is remote; hiring range details are provided during application.