NVIDIA seeks a Principal Deep Learning Senior Engineer for end-to-end autonomous driving to design and train large-scale generative, imitation, and reinforcement learning models (LLM/VLM/VLA), integrate models with vehicle firmware, improve data generation strategies, and deploy production-grade ML systems. Requires strong Python and C++ skills, deep learning architecture knowledge, and extensive experience in AV/related fields (Master's +13 years or PhD +11 years).

Join Calendly’s Data Science & Machine Learning team to design, implement, and operate GenAI and ML-powered product features end-to-end. Requires 6+ years industry experience shipping production ML, expertise with foundation models (fine-tuning, prompt engineering), strong programming and data engineering skills, and experience with deployment pipelines, monitoring, and incident response. Candidates must be authorized to work in the United States.

The Home Depot seeks a Manager, AI Platform Engineering to lead a team building and operating an enterprise Generative AI platform, focusing on multi-model orchestration, AI agents, secure production deployments, and cross-functional collaboration. Requires software engineering experience (minimum 5 years), strong knowledge of Java/OOP, CI/CD, containerization (Docker/Kubernetes), cloud platforms (Azure/GCP), and familiarity with security, privacy, and responsible AI practices. Role includes people leadership, delivery execution, support, and occasional travel (5–20%).

Datadog is hiring a Senior AI Engineer in Paris to design, prototype, and productionize LLM-based agents and tools that assist developers (e.g., generating tests, fixing bugs, improving performance). The role involves working with designers, PMs, data scientists, and other teams to build prompts, evals, agent tooling, and integrations (such as IDE extensions and instrumentation). Requires at least 5 years of backend engineering experience (Go, Java, Python) and prior experience shipping software that uses LLMs or related large-scale ML systems, plus experience building developer tools.

Join the AI team to perform applied research on problems related to home design and visual understanding. Work with raw and unstructured data (images, video, 3D point clouds, meshes, text), design and run experiments, train and evaluate ML/DL models, and implement prototypes/MVPs for production. Requires 4+ years in AI/ML research or applied machine learning and proficiency in Python and deep learning frameworks (TensorFlow or PyTorch).

Role on Affinity's AI Platform team to design, build, and operate production ML systems focused on information extraction, retrieval, and ranking/recommendation. Responsibilities include full ML lifecycle (feature engineering, model selection, deployment, observability), building ranking/recommendation infrastructure, and collaborating with cross-functional teams. Required skills include 5+ years of software/ML engineering experience, Python and modern ML frameworks (PyTorch, Scikit-learn), experience deploying models at scale (streaming and batch), vector/graph databases, and observability/A/B testing for models. Location: San Francisco, New York, or US Remote. Salary: $160k–$235k (base).

Affinity seeks a Senior Machine Learning Engineer for its AI Platform to design and build production ML systems focused on information extraction, retrieval, ranking and recommendations. Responsibilities include full ML lifecycle work (feature engineering, model selection, deployment, observability), collaborating with cross-functional teams, and working with vector/graph databases and modern ML frameworks. The posting lists a base salary range of 160,000–220,000 CAD.

Affinity is hiring a Senior AI Engineer on the AI Platform team to architect, prototype, and deploy LLM-powered systems including RAG pipelines, vector/graph-backed retrieval, multi-agent orchestration, and robust evaluation. The role requires collaborating with ML, data, and software engineers to build scalable production systems, with a minimum of 5 years' relevant experience.

Apiphani is hiring a Senior Software Engineer to design and implement backend services and orchestration layers (Python, TypeScript) that integrate LLMs, vector databases, and agentic workflows for a production AI automation platform. Requires 6+ years backend experience, strong AWS knowledge (including Bedrock), familiarity with RAG and vector DBs, and hands-on CI/CD and observability experience. Listed base salary: $120,000—$160,000 USD per year.

Twilio is hiring a Staff Software Engineer (L4) to help design and build full-stack, stateful web applications and data infrastructure for Enterprise AI use cases (GTM and internal functions). The role requires architecting scalable data pipelines and distributed systems, integrating React front-ends with modular backend services, mentoring engineers, and delivering production-quality LLM/agentic applications. Required: bachelor's degree and 8+ years of relevant experience with at least 3 years in a technical leadership role.

Role involves guiding customers on NVIDIA compute, networking and software stacks to deliver end-to-end GenAI and Agentic AI solutions across cloud and datacenter. Requires 8+ years experience with AI/HPC clusters, hands-on cluster management (Docker, Slurm, Kubernetes, Ansible), datacenter/network/storage skills, and strong coding/debugging experience (CUDA, Python, C/C++, Bash). Poland-specific base salary ranges are provided.

Join NVIDIA to design and implement robust map-based localization solutions for autonomous driving, working with large real and synthetic datasets. The role requires strong C++ and CUDA skills, experience in computer vision/3D geometry, and familiarity with automotive quality and safety standards such as ISO26262 and MISRA.

Work on designing and optimizing kernels, extensible abstractions for LLM serving engines, JIT domain-specific compilers, and inference runtimes for NVIDIA hardware. Qualifications include a Master's (PhD preferred) or equivalent experience, 6+ years in ML/DL systems development, experience with frameworks such as PyTorch/JAX/TensorFlow/ONNX, and expertise in GPU kernel development and compilers. Base salary range listed as 184,000 USD - 287,500 USD per year.

Role focuses on designing and implementing GPU kernels, kernel code generators, JIT compilers, and extensible abstractions for LLM serving and inference runtimes. Requires experience with deep learning frameworks (PyTorch/JAX/TensorFlow/ONNX), GPU kernel development (CUDA/cuTile/Triton), and ML/DL systems for inference.

NVIDIA is hiring a Senior AI/HPC Engineer on the infrastructure Specialist team to deploy, manage and maintain AI/HPC GPU infrastructure in Linux environments. The role involves customer-facing architecture and implementation, cluster and network optimization (InfiniBand/Ethernet), scheduler and MPI/NCCL expertise, automation (Ansible/Salt/Puppet), Kubernetes, and documentation/knowledge transfer. Requires a related degree or equivalent and 5+ years of deployment/support experience.

NVIDIA is hiring a Solutions Architect to lead the development and deployment of agentic AI systems, including multi-agent coordination, long-horizon reasoning, RAG-based retrieval pipelines, and GPU-accelerated inference. The role requires >5 years in deep learning/distributed AI, strong Python and C/C++ skills, experience with PyTorch/TensorFlow and LLMs, and familiarity with agent orchestration frameworks (e.g., LangChain, LangGraph). Responsibilities include building PoCs, optimizing performance on NVIDIA software (NIM, NeMo), collaborating with ISVs and internal teams, and enabling partners through workshops and architecture reviews.

Work on GitLab Verify to improve performance, reliability, and usability for high-volume CI jobs; design and implement AI-powered agents and LLM-backed tooling integrated with the Duo Agent Platform; build instrumentation and observability; optimize database and job orchestration; and write secure, well-tested Ruby on Rails code while leading cross-functional technical work.

Lead and grow AI engineering teams to deliver AI-powered products from concept to commercial deployment. Responsible for AI strategy and roadmaps, system design, production ML/AI deployments (including LLMs, RAG, agentic workflows), and cross-functional stakeholder engagement; requires 10+ years software engineering experience and 4+ years managing engineering teams.

Sayari seeks a Senior Applied Scientist with 5+ years in applied ML and 2+ years hands-on experience with LoRA and full fine-tuning. The role focuses on fine-tuning small language models, building data collection and labeling strategies for messy, real-world commercial data, evaluating models on agentic workflows, and deploying models to production using cloud ML platforms (e.g., Vertex AI or SageMaker). The position is remote within the United States and lists a target base salary of $185,000–$200,000 USD.

Own ML-driven product features end-to-end: identify opportunities, model, deploy, run experiments, and measure impact. Design and build scalable ML systems including data pipelines, training workflows, and production model serving; shape MLOps practices and explore generative AI/LLM use cases. Provide technical leadership and mentorship across the team.