Drive validation of AI factory environments across Linux-based multi-GPU and multi-node clusters, run and analyze AI/LLM benchmarks, investigate and resolve training or benchmark failures, and build observability and automation (Python, Shell) to capture structured evidence for launch readiness. Requires a Bachelor’s (or equivalent), 6+ years managing Linux-based systems in HPC/distributed/AI settings, hands-on NCCL and collective communication experience, familiarity with PyTorch or TensorFlow, benchmarking, and observability.

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.

The Forward Deployed AI Accelerator will be embedded with marketing cohorts to identify high-leverage workflow transformations, build custom AI tools and agents, coach marketers to adopt and build their own tools, and scale successful patterns across the organization. The role requires 5+ years of professional experience and demonstrated, hands-on experience building and deploying AI-powered agents, tools, or automations that real people use in their work.

NVIDIA is hiring a Senior Deep Learning Software Engineer (Inference) to design, build, and optimize GPU-accelerated software and open-source inference frameworks for LLMs, multimodal and generative AI. The role involves performance analysis, profiling, multi-GPU scaling, and contributing to libraries such as vLLM, SGLang, FlashInfer using technologies like CUDA, CUTLASS, Triton and NCCL. Requires strong C/C++ skills and 5+ years of relevant experience.

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.

Grafana Labs is hiring a Staff Backend Engineer to build the initial production services for an AI-native data intelligence/context system, including ingestion, indexing, retrieval orchestration, APIs, and multi-tenant SaaS infrastructure. The role is remote and targets candidates in the U.S. or Canada (residents of Quebec are not eligible). Base compensation in Canada is stated as CAD 186,368–223,642 per year.

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.

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.

Design and scale agentic systems connecting LLMs to internal APIs and tooling, implement RAG, fine-tuning, and prompt engineering, build production Python microservices, and develop evaluation pipelines for non-deterministic AI agents. Requires 3+ years building and scaling ML/AI systems in production and experience with multi-agent orchestration frameworks and vector databases.

Lead and mentor data scientists to define ML strategy, establish technical standards, and drive projects from research to production for malware detection, behavioural threat analysis and AI-driven security automation. Requires 5+ years in data science/ML (with >=2 years technical leadership), strong cybersecurity domain knowledge, proficiency in Python and ML frameworks, and experience with big data, production ML systems, AWS and Linux.

Join EnergyHub's Data Science and Power Systems Intelligence team to develop and improve energy forecasting models, control and optimization algorithms, and production-grade software. Work with large distributed energy datasets, build data pipelines, monitor operational models, and present results to stakeholders. Requires strong machine learning, optimization, Python, and data engineering experience.

Doximity seeks a Staff Applied AI Engineer to leverage large healthcare datasets to build, fine-tune (SFT/DPO/RFT), and evaluate ML and LLM products. The role requires 5+ years' experience with large-scale model training, PyTorch/TensorFlow, advanced SQL and Python, distributed processing, and strong statistical and data-visualization skills. Visa sponsorship is not available.

Pindrop is hiring a Senior Security Researcher (Red Team) to design and execute red team operations against GenAI systems, LLM pipelines, RAG architectures, APIs, SaaS products, and cloud environments. The role requires 3+ years of hands-on penetration testing/red team experience, demonstrable experience attacking GenAI/LLM systems (prompt injection, jailbreaking, model extraction), hands-on use of deepfake/voice synthesis tools, proficiency with offensive tooling and Python, and familiarity with cloud security and common security standards. US base pay range listed: $125,000–$165,000 USD.

Senior role to build and lead the marketing data stack and analytical frameworks (BigQuery, BI, agentic AI) to improve forecasting, attribution, and ROI. Requires 8+ years in marketing analytics/GTM strategy or data science, expertise in SQL and Python, hands-on experience with BigQuery or similar warehouses, and experience building agentic AI and automation pipelines to inform executive decision-making.

Hands-on Staff Data Scientist role focused on marketing and leadgen: own problem framing, build and validate models (bandits, recommendation/ranking, LTV, funnel/monetization), deploy and monitor ML solutions in AWS, and drive measurable ROAS and revenue impact. Requires 5+ years' applied data science experience and strong Python/SQL skills.

Hands-on role responsible for the full data science lifecycle: framing business problems with stakeholders, building and validating models, and working with ML engineering through deployment and monitoring. Requires 5+ years in applied data science with experience in paid/performance marketing, AWS-based ML deployments, Python, SQL, and techniques such as bandits, recommender/ranking systems, and LTV modeling. Primary metric: ROAS.

Hands-on lead role owning data science end-to-end for a priority vertical (starting with Insurance): problem framing, modeling, deployment handoff to ML engineering, monitoring, and driving ROAS and lead quality improvements. Requires 5+ years applied data science experience and multi-year experience building and deploying ML solutions in AWS; strong Python and SQL skills and experience with reinforcement learning, recommendation/ranking systems, LTV and funnel/monetization optimization.

Hands-on lead applied scientist/ML role focused on performance marketing and lead generation. Responsible for framing business problems with stakeholders, building and validating models (bandits, RL, recommender/ranking, LTV), deploying solutions in AWS, monitoring live ROAS performance, and driving measurable revenue and media efficiency improvements.

Remote Staff Research Engineer role on GitHub Next focused on turning ambitious AI and software development ideas into working prototypes and products. Requires deep software development and research experience (minimum 8 years options described), prototyping skills, familiarity with ML/AI, frontend/backend stacks, and collaboration across teams and stakeholders.

Senior/staff individual contributor responsible for defining and driving the technical roadmap for ClickUp's data platform, building scalable data pipelines and infrastructure (AWS serverless, Snowflake, dbt), designing systems for AI/ML workloads (feature stores, training/embedding pipelines, model serving), enforcing engineering standards (observability, CI/CD, testing), optimizing cloud cost, and mentoring senior engineers.