NVIDIA seeks a Senior Machine Learning Engineer for AI Safety to work on scaling safety for multi-modal LLMs. Responsibilities include building evaluation datasets and models, developing pre-/mid-/post-training recipes (SFT, RLHF/RLAIF), researching system-level safety techniques, and collaborating across teams. Requirements include a MS/PhD or equivalent, 8+ years experience (4+ years post‑training experience), strong Python and PyTorch skills, and domain expertise in at least one core safety area (LLM security, frontier risks, agentic safety, or multi‑turn evaluation).

NVIDIA seeks an engineer to develop AI/ML-based tools and LLM integrations to automate performance verification workflows for GPUs, SoCs, and related systems. Responsibilities include building agents to detect regressions and root causes, designing data pipelines for model training, collaborating with verification teams, and measuring automation impact. Requires B.Tech/M.Tech/PhD in EE/CS or related field and 3+ years in hardware verification, performance validation, or EDA tool development.

The role owns product experiences that turn Pindrop's AI capabilities into repeatable internal workflows across Finance, RevOps, People, Recruiting, CS, Marketing, and Legal. Responsibilities include process mapping, architecting and deploying agentic tools and integrations, auditing purchased AI capabilities, extending the shared AI platform, defining evals and rollout processes, tracking adoption and ROI, and driving user enablement. Must have 3+ years in product management/operations/AI enablement, scripting (Python), API integration, production experience with agentic systems, plus fluency in context engineering and eval-driven development. Remote-first US role with regular on-sites (≈6 trips/year) and stated base pay range $130K–$150K USD.

Role entails researching, developing, and deploying deep learning models and data pipelines for multimodal data curation (documents, images, audio, video) used to train foundation models. Responsibilities include building petabyte-scale extraction and deduplication pipelines, optimizing curation methodologies for large GPU clusters, creating datasets/metrics/validation scripts, enabling production deployments via NVIDIA Inference Microservices, and publishing technical outputs. Requires ~10+ years experience, strong Python and PyTorch skills, and experience with distributed data frameworks (Ray, Spark, Dask).

Arize AI seeks an AI Education Engineer in the San Francisco Bay Area (remote-first) to produce code examples (agents, assistants), technical content (repos, blogs, docs), run workshops and demos, and act as a product advocate for Arize’s observability/evaluation platform. Requires working knowledge of generative AI and the LLM app stack, proficiency in Python, community engagement experience, strong written/verbal communication, and willingness to attend local events. Estimated salary range $100,000–$175,000 per year.

Arize AI seeks an Applied AI Engineer focused on developer growth to produce example code (agents, assistants), technical content (repos, blogs, workshops), and act as the voice of AI engineers to inform product and GTM. Requires proficiency in Python and experience with LLM app stacks (agents, orchestration, vector DBs, evaluation), engagement in developer communities, and ability to present at events. Estimated annual salary $100,000–$175,000.

Role focuses on enhancing Elasticsearch's vector similarity search (design, implement, and fix features), contributing to Lucene where relevant, working with a globally distributed engineering team, and writing idiomatic modern Java. Requires professional experience with vector similarity/vector databases (experience with HNSW, IVF, or similar), strong core Java skills, familiarity with data storage technologies, and experience collaborating on open source and distributed teams.

Lead development of vector search capabilities within Elasticsearch, designing and implementing new vector search features, improving existing functionality, fixing bugs, and collaborating with a globally distributed engineering and open-source community. Requires strong Java skills, experience with vector similarity techniques (e.g., HNSW, IVF) and working at scale with search or vector database systems.

Join Veeva's Commercial Tools team to design, build, and ship AI features (RAG, agents, LLM apps) and async Python services, and to contribute to a React/TypeScript portal. The role requires ~2+ years' production software experience, strong Python (async/FastAPI), familiarity with Postgres, AWS, and practical experience with RAG/agent workflows and embeddings.

Veeva seeks a Services Platform Engineer to build and ship AI features (RAG, agents, LLM apps) and full-stack services using Python (async/FastAPI), React/TypeScript, AWS (including Bedrock and ECS Fargate), and Postgres. Requires 2+ years building production software, hands-on Python, experience with RAG/agent apps, SQL/Postgres, Docker, and strong English. Base salary range listed: USD 90,000–150,000.

Technical staff-level role on the Enterprise Security team driving technical strategy and engineering for securing the enterprise AI ecosystem. Responsibilities include designing secure reference architectures for AI platforms, building decision infrastructure and guardrails, AI vetting frameworks, agentic AI identity/posture management, coding and IaC (Python/Go/Java), and mentoring engineers. Requires 7+ years in security engineering and 2+ years in technical leadership; cloud (AWS/GCP) and Kubernetes experience required. Role is remote in the US (not eligible in certain Bay Area cities) and may require occasional travel.

Remote Senior Software Engineer (5+ years) to deliver end-to-end search and AI product experiences—frontend (Vue, TypeScript) and backend (Python, Django)—and to design and improve search/indexing/retrieval systems (Elasticsearch) and related data workflows. Role includes troubleshooting, on-call rotation, collaboration with Product and Design, and up to 10% travel. Location options listed: Bulgaria, Ireland, United Kingdom. Salary range provided for Ireland: €95,000–€110,000/year (Bulgaria: €6,000+ gross/month noted).

Conduct research to advance intelligent systems, co-develop models and harnesses to improve memory and general intelligence in VLM/LLM systems, publish results, and open-source reproducible code. Requires a PhD or equivalent and at least 6 years of relevant experience in machine learning, AI, computational statistics, or applied mathematics, with proficiency in Python and a track record of research publications.

Work across research, engineering, and product teams to develop and profile workflows and sample applications, benchmark and optimize GPU-accelerated computing and ML frameworks, and represent NVIDIA at scientific events. Requires BS/MS/PhD (or equivalent) and 5+ years building HPC/AI/ML software for physics and numerical simulations.

Lead product strategy and go-to-market for NVIDIA’s AI-for-Quantum platform by collaborating with research, engineering, hardware partners, and developers to build AI models, tools, APIs, libraries, and workflows that accelerate quantum computing. Requires ~8+ years experience in AI, accelerated computing, or quantum technologies and strong technical communication and product leadership skills.

CrowdStrike seeks a Senior Applied Researcher/Sr. Data Scientist to lead GenAI and LLM research and engineering for cybersecurity. The role requires 8+ years of applied ML/research experience, expertise in LLMs, deep learning, GPU optimisation, Python, cloud technologies, and experience bringing research into production at large scale. The position is remote across Spain, Romania, and the United Kingdom.

SweetRush is recruiting for a remote AI Image-Video Editor/Generative Video Specialist to produce and edit visual and video content using AI-assisted tools (e.g., Heygen, ElevenLabs, Seedream) and conventional software (Premiere Pro, After Effects). Responsibilities include integrating generative AI into workflows, ensuring visual consistency and brand compliance, and documenting AI-based production processes. Candidates should have proven video editing/post-production experience and familiarity with AI-driven creative tools; applicants must submit a resume in English.

Senior-level contractor evaluates AI-generated coding interactions end-to-end (focusing on usefulness, reasoning, engineering judgment, and quality of explanations). Requires strong experience with TypeScript/JavaScript or Python, hands-on use of Codex/Claude Code or Cursor, strong written/spoken English (B2+). Flexible 10–20 hrs/week, ongoing projects.

Red Hat seeks a Lead AI Architect (based in the UK, remote Ireland/UK options) to drive AI professional services across UKI/EMEA. The role combines delivery and go-to-market support, requiring 5+ years in solution/enterprise architecture or similar, strong expertise in generative and predictive AI, MLOps, model serving, and production Kubernetes/OpenShift environments. Professional fluency in English and travel within the UKI region are required.

Work with inference partners to build and operate high-performance inference stacks using NVIDIA technologies (Dynamo, Triton, TensorRT-LLM, vLLM, SGLang). Requires 6+ years in solutions architecture (including 2+ years with AI workloads on Kubernetes), experience with disaggregated serving, model/kernel optimization, quantization, speculative decoding, and agent/full-stack inference design. Role is remote within the US with a Santa Clara location noted; BS in CS/Engineering or equivalent experience is requested.