Build state-of-the-art generative pipelines and end-to-end image/video editing capabilities for ad creative, including LLM/VLM fine-tuning and RLHF/RLPF using ad performance signals (CTR/CVR). Lead implementation of safety, brand-preservation, and compliance systems while partnering with Product, Sales, Policy, UX, and Ads ML teams to integrate capabilities into the ad product.

Role focuses on architecture, research, and productionization of radar-focused 3D obstacle perception and multi-sensor fusion (camera, radar, lidar) for L2–L4 autonomous driving. Requires 12+ years of experience in deep learning–based perception or radar signal processing, hands-on expertise with PyTorch, strong software engineering in Python/C++, and experience scaling models to production with GPU/CUDA optimizations.

NVIDIA seeks PhD students for research internships in embodied and agentic AI topics including perception, agentic reasoning, multi-modal and continual learning. Interns will research, design, and implement methods, prototype on state-of-the-art hardware, and collaborate with mentors and product/engineering teams. Required: current PhD enrollment, strong AI and computer vision/LLM knowledge, programming in Python or C++, and familiarity with frameworks like PyTorch.

The role develops, tests, and maintains core materials-aware ML functionality (Python/Scala) for Citrine’s platform, collaborating across product and research teams. Responsibilities include prototyping new ML models, improving interpretability and inverse design, writing production-quality code, and publishing research. Salary range listed: $182,000–$210,000 USD per year for full-time US-based employees.

CrowdStrike seeks a VP-level AI Architect to establish a consistent AI- and agentic-first architecture across business units and products, design and build full-stack AI systems, connect models to runtimes and execution environments, and embed security, governance, and observability into production systems. Requires 10+ years of experience in software/systems/AI architecture and a record of delivering production AI systems. Role is remote for U.S. candidates; base salary range listed as $350,000–$375,000 per year.

Role involves deploying, managing, and validating large-scale AI Compute/HPC systems in Linux environments, working directly with customers and internal teams, and providing handover documentation and support. Requires 8+ years of deployment/support experience, strong Linux and scripting skills (Bash, Python, Ansible), familiarity with schedulers (SLURM/LSF/UGE), benchmarking tools (HPL, NCCL, MLPerf), Kubernetes, and up to 20% US travel.

Capital One is hiring a Staff AI Engineer on the Intelligent Foundations and Experiences (IFX) team to design, develop, deploy, and support foundation-model and LLM-based production systems (including inference, training, agents, similarity search/VectorDBs, model routing, caching, orchestration, observability, evaluation, and governance). Role emphasizes performance and cost optimization, multi-cloud resilience, responsible AI, and cross-functional technical leadership. Remote-eligible; employer may sponsor work authorization.

As an Applied Science intern you own end-to-end machine learning projects: data exploration, feature engineering, training, benchmarking, deployment, and monitoring. The role expects strong ML fundamentals, Python and SQL proficiency, experience curating datasets and evaluating models, and the ability to work with product and business stakeholders. Monthly compensation is $12,500 USD plus a housing stipend; relocation expense coverage to NYC or SF is available if needed.

Lead the technical vision and implementation of AI-powered features across the full stack (APIs, data models, services, UI) for Placer.ai's location intelligence platform. Responsible for LLM integration, retrieval, agents, tool-calling, evals, production monitoring and reliability; requires 10+ years of software engineering experience, strong Python/React/TypeScript and cloud/containerized deployment experience. Role is remote with a U.S. annual pay range of $160,000–$190,000 USD.

Capital One is hiring a Staff AI Engineer for the Intelligent Foundations and Experiences team to design, develop, deploy, and support large-scale AI systems (foundation model training, LLM inference, agents, similarity search, guardrails, observability, and governance). The role requires strong software and systems engineering experience with AI model optimization and cloud deployment (AWS/GCP/Azure), and a minimum of 6 years' experience (6 years with a Master's degree or 8 years with a Bachelor's as described).

Capital One is hiring a Staff AI Engineer on the Intelligent Foundations and Experiences team to partner with cross-functional teams to design, implement, and operate scalable, responsible AI systems (foundation model training, LLM inference, agentic workflows, similarity search/VectorDBs, guardrails, evaluation, and observability). Requires advanced experience in AI/ML systems, cloud platforms, performance optimization, and technical leadership (basic quals: BS + 8 years experience or MS + 6 years).

Hands-on engineering role to implement tracing and explainability primitives for multi-agent LLM workflows, integrate and extend open-source observability/evaluation frameworks, build CI evaluation checks and red-team tests, and partner with product and security teams. Requires 3+ years' software engineering experience and production Python work; experience with LLM systems and cloud (Azure/AWS) is expected.

Ongoing contract (10–20 hrs/week) to evaluate interactions with coding agents (e.g., OpenAI Codex, Claude Code, Cursor). Senior/Staff/Principal-level engineers with strong TypeScript/JavaScript or Python experience will judge correctness, reasoning, explanations, and overall engineering taste, and provide written feedback and short recorded walkthroughs. Rate $100–$200/hour.

Join Kraken's Agent Systems team to design, prototype, and productionize AI-powered agent systems and inference pipelines that automate internal workflows. Role emphasizes backend engineering (APIs, distributed systems, data modeling, reliability), experience with AI/ML or LLMs in production, rapid prototyping with a path to production, and cross-functional collaboration to deploy observable, safe, and controllable agent-driven capabilities. Requires 5+ years building and shipping production software.

Capital One seeks a Senior Staff AI Engineer on the Intelligent Foundations and Experiences team to design, build, and operate foundation-model training and LLM inference systems, agentic/multi-agent workflows, similarity search/VectorDBs, model evaluation, governance and observability. Role requires deep experience with Python/Go/Scala/CUDA/Java/C++, cloud platforms (AWS/GCP/Azure), PyTorch, Hugging Face, and production AI performance and safety practices. Minimum experience: 8+ years (per qualifications). Salary ranges published (example: Remote $286,200–$326,700; up to $392,000 for some locations).

Capital One is hiring a Director, AI Engineer to lead a cross-functional team building and scaling foundation-model training and inference, similarity search/VectorDBs, guardrails, observability, and enterprise Responsible AI standards. The role requires deep technical expertise in AI systems and distributed/cloud architectures, leadership experience, and 6+–8+ years of AI/ML engineering experience (per posting). Salary ranges in the posting span USD 244,700–335,100 depending on location.

Capital One is hiring a Sr. Staff AI Engineer (remote-eligible) to lead design and delivery of foundation model training and inference, agents and multi-agent workflows, similarity search/VectorDBs, guardrails, observability, and AI governance. Role requires extensive experience (8–10+ years) in AI/ML engineering, model optimization, cloud deployment (e.g., AWS/GCP/Azure), and technical leadership.

Chess.com offers a full-time, 100% remote engineering internship with focus areas in Product Engineering or AI/ML Engineering. Interns will build features, optimize systems at scale, or work on data pipelines and ML model development/deployment. Role is open to degree-seeking students or equivalent and applicants able to work in the USA or Canada.

Lead design and delivery of AI-powered products and foundational AI platform initiatives including foundation model training, LLM inference, similarity search, guardrails, and observability. Role requires significant hands-on experience (Bachelor's +10 years or Master's +8 years) with languages such as Python, Go, Scala, CUDA, or Java and experience architecting scalable AI systems on cloud platforms; visa sponsorship may be considered.

Capital One is hiring a Staff AI Engineer (remote-eligible, US) to partner with cross-functional teams to design, develop, deploy, and optimize foundation models and production AI systems (LLM inference, agents, VectorDBs, model routing/orchestration, observability, and governance). Requires advanced experience in AI/ML system design, cloud deployment (AWS/GCP/Azure), and programming (Python, Go, Scala, Java, C++, CUDA). Minimum experience: Bachelor's + 8 years or Master's + 6 years (posting supports a 6-year minimum). Salary ranges are listed by location in the posting; posting indicates Capital One may sponsor employment authorization.