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.

Acceleration Partners seeks a Director of Applied AI Product to be a technical, hands-on product leader who prototypes and ships AI-driven agentic workflows using real client data. The role reports to the Chief Strategy Officer, works cross-functionally with engineering and data, owns build-versus-buy and rollout processes, and includes a US-based salary range of $120K–$160K/year. Position is remote with some travel required.

Join The Home Depot DIG team as a Senior Software Engineer focused on backend engineering, data processing, and machine learning for product recommendations. Responsibilities include system design, building and maintaining services and pipelines, integrating LLMs/Vertex AI, mentoring engineers, and driving scalable architecture. Minimum 3 years' experience; role is remote and requires legal authorization to work in the United States.

NVIDIA's SCG seeks a Senior Platform AI Engineer to set technical direction and lead end-to-end delivery of an efficiency platform that supports ML-driven infrastructure across silicon design and validation. Requires 8+ years building/operating production 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 orchestration.

NVIDIA is hiring a Senior Deep Learning Compiler Engineer to analyze deep learning networks and develop compiler optimization algorithms for inference across GPUs, NPUs, and constrained/embedded systems. Requires a Bachelors/Masters/PhD (or equivalent), 3+ years relevant experience, strong C/C++ and Python skills, and experience with tools such as MLIR, XLA, TVM, or LLVM. Locations include US (Austin, Redmond, Santa Clara) and remote. Posted salary range: 152,000–241,500 USD/year.

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 partnering with enterprise ISV Software Platform Architects to set objectives and adoption plans, design and ship production agentic AI systems (RAG, multi-agent workflows, inference) on NVIDIA and open tool stacks, and influence product and engineering roadmaps. Requires 12+ years of relevant experience, advanced degree or equivalent, and hands-on proficiency with Python, PyTorch, modern agent/LLM tooling, and enterprise deployment (MLOps/LLMOps, Kubernetes, Docker). Salary range provided (USD, annual).

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 new college graduate (MS/PhD or equivalent) to develop GPU-accelerated AI inference serving software and help converge the Triton and Dynamo stacks. The role requires strong Rust or C++ skills, familiarity with Python, experience or interest in distributed and ML systems, and contributions to production-grade, high-performance software; work may involve open-source collaboration.

Role focuses on building and shipping robust, production-scale content understanding models and pipelines for ads (entities, taxonomies, sentiment, intent, product understanding), operating across the ML lifecycle, leading technical design and mentoring engineers, and applying LLMs and distillation strategies. Requires 5+ years MLE experience delivering production ML systems and strong software engineering fundamentals.

NVIDIA is hiring a Senior Deep Learning Software Engineer focused on inference: design, build and optimize GPU-accelerated software and open-source inference frameworks (vLLM, SGLang, FlashInfer) for LLM, multimodal and generative AI models. Requires 5+ years relevant software development experience and strong C/C++ skills; CUDA, Triton, CUTLASS, NCCL and performance profiling experience are listed as relevant. Base salary ranges provided: 152,000–241,500 USD (Level 3) and 184,000–287,500 USD (Level 4).

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.

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%.

Remote US role within Precisely's Professional Services to design, build, and scale autonomous AI agents and deployment accelerators. Requires 3+ years supporting Professional Services or consulting in a software/SaaS environment, strong Python skills, hands-on experience with generative AI (RAG, vector DBs), agent frameworks (LangGraph, CrewAI, Semantic Kernel, LlamaIndex), and experience in enablement, training, and LLM governance.

Lead the evolution of People Analytics into an AI-powered People Intelligence capability, delivering predictive models, AI-generated insights, executive-ready workforce narratives, and analytics copilots. Role is remote (United States), reports to the Sr. Director, People Consulting & Services, and requires data-science experience plus at least 1 year of people management experience.

The role transforms operational warehouse and robotics data into actionable insights, builds dashboards and predictive/diagnostic models, conducts experiments (A/B tests), and recommends optimizations for throughput, robot utilization, inventory flow, and other operational KPIs. Requires a bachelor's in a related field, 3+ years of analytics/data science experience, strong SQL, proficiency in Java or Kotlin, and experience with streaming data (Kafka/MQTT).

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.