Senior individual contributor responsible for architecture and engineering of ads identity modeling and related measurement ML solutions. Requires designing and deploying large-scale ML systems (model training, inference, feature engineering), collaborating across product, data science, privacy and legal, and mentoring engineers. Minimum 7+ years software engineering experience with 3+ years on ML-driven systems; salary range $230,000–$322,000 USD/year.

NVIDIA is hiring a Senior Sensor Fusion Engineer to develop core functionality for autonomous driving by fusing perception DNNs and map signals into real-time 3D world models. The role focuses on enabling HD mapless urban driving and L3 highway autonomy using camera, lidar, and radar inputs, building occupancy grids and occlusion masks, and producing automotive-quality code. Requires 8+ years' experience (with 2+ years in AV/robotics) and experience on embedded/automotive platforms.

Senior Solutions Architect responsible for guiding customers on NVIDIA hardware/software for AI and professional graphics workflows. Requires 8+ years software development experience (Python, C/C++), deep learning/CUDA knowledge, familiarity with graphics APIs and GPU architectures, strong Windows/Linux skills, and willingness to travel to customer sites and NVIDIA HQ (Santa Clara, CA).

Contract Lead Instructor (2-week, ~30 hrs/week) delivering live remote instruction and hands-on labs on MLOps and AI platform engineering. Requires 7+ years in software/data engineering, 3+ years in MLOps/ML platform roles, deep Azure ML / AI Foundry experience, Python and ML CI/CD knowledge, and certifications AZ-900, AI-900, DP-100 (AI-102 preferred). Engagement is remote and must align with Pacific Time; estimated lump-sum compensation $11,500–$15,500 for the program.

Work at the intersection of technical support, workflow automation, and applied AI to design and implement agentic AI systems, ticket triage, routing, knowledge retrieval, case summarization, and operational insights. Requires at least 3 years of relevant software, automation, or applied AI experience, strong Python and API skills, and experience building production internal tools; role is remote-first and lists a salary range of 125,000–170,000 USD per year.

NVIDIA is hiring for its Deep Learning Compiler (DLC) team to develop compiler optimization algorithms, performance optimizations, and compiler infrastructure for neural networks used across data centers, devices, automotive, and robotics. The role requires 3+ years of relevant work or research experience, proficiency in C/C++ and Python, and familiarity with technologies such as CUDA/OpenCL, MLIR, XLA, TVM, LLVM, and deep learning frameworks like PyTorch. Base salary range: 152,000 USD - 241,500 USD per year.

CrowdStrike seeks a Sr. Data Pipeline Engineer to design, scale and optimize real-time and batch data ingestion and transformation pipelines. Role responsibilities include integrating data from systems such as Salesforce, NetSuite and Workday; ensuring data quality, observability and reliability; supporting AI/ML workflows and telemetry analytics; and applying DevOps/CI-CD practices. Requires 12+ years experience. U.S. base salary range: $125,000–$180,000/year.

Senior product-focused AI engineering role responsible for designing, developing, and operating AI-powered features that integrate and orchestrate multiple LLMs. Requires 5+ years of backend/full-stack experience, strong expertise with LLMs and AI model integration, production observability, Postgres/MySQL, Elasticsearch, and knowledge of AI privacy/security/compliance. Role is listed as remote for the United States; visa sponsorship for engineering/product roles is case-dependent per the posting.

Build and operate scalable AI platform services for deployment, orchestration, serving, and lifecycle management of LLMs; integrate multiple LLM providers; develop backend APIs and infrastructure for monitoring, logging, and automated evaluation; apply LLMs to product features; and drive best practices for AI privacy, security, compliance, scalability, and cost efficiency. Role requires deep experience in backend engineering, distributed systems, cloud-native technologies, MLOps, and applied LLM work.

Build and maintain a backend AI platform to create, orchestrate, and evaluate multi-agent systems. Integrate multiple LLM providers (e.g., OpenAI, Anthropic, Cohere), use orchestration frameworks like LangGraph, develop evaluation frameworks, address AI privacy and data protection, and integrate search capabilities while collaborating with cross-functional teams.

ClickUp seeks a Senior AI Engineer to lead development of user-facing AI features, integrating and orchestrating multiple LLMs, ensuring production reliability, scalability, observability, and addressing AI privacy/security/compliance. Requires 5+ years' backend and/or full-stack engineering experience, strong experience with LLMs, Python/JavaScript/TypeScript, Postgres/MySQL, Elasticsearch, and mentoring/cross-functional collaboration.

Seeking a Senior AI Engineer to design and implement scalable AI platform services (model serving, orchestration, lifecycle management), integrate multiple LLM providers, build backend APIs, and apply LLMs to deliver user-facing features. Requires experience with cloud-native technologies (Kubernetes, Docker, AWS/GCP/Azure), MLOps, distributed systems, programming in Python/Go/TypeScript, and addressing AI privacy and security.

Join the AI Platform team to design, develop, and maintain a backend platform that enables users to create and manage intelligent agents and their interactions. Work includes integrating multiple LLMs (e.g., OpenAI, Anthropic, Cohere), using orchestration frameworks like LangGraph, building evaluation frameworks, addressing AI privacy and data protection scenarios, and integrating search capabilities. The role emphasizes scalability, multi-agent coordination, and collaboration with cross-functional teams.

Join NVIDIA's Infrastructure Specialists team to set up and validate multi-GPU/multi-node Linux GPU clusters, run and analyze AI/LLM benchmarks, improve collectives and NCCL usage (AllReduce, AllToAll), build observability and automation (Python, Shell), and collaborate across hardware, software, networking, and product teams to prepare AI factories for customers.

This Director role leads software and machine learning engineering teams responsible for Upwork’s Search & Recommendations platform, including search, recommendations, conversational matching, and agentic workflows. Responsibilities include defining technical strategy, modernizing infrastructure, ensuring reliability and observability, partnering with product and ML teams, and growing a high-performing organization. Annual base salary range: $211,250 — $340,000 USD.

Sardine seeks a Forward Deployed AI Engineer to work directly with clients to translate operational challenges into technical architectures, train and deploy custom AI agents, and build evaluation pipelines and AI risk metrics. Requires 5+ years in Data Science or Applied AI and proficiency in Python and SQL. Role is remote for candidates based in the United States or Canada.

Develop and optimize GPU-accelerated AI inference serving software, drive convergence of Triton and Dynamo stacks, and contribute to open source. Requires MS/PhD or equivalent experience, 5+ years on deep learning software, strong Rust and C++ skills, familiarity with Python, and experience with high-scale distributed and ML systems.

Reddit is hiring a Staff Machine Learning Engineer for Ads Content Understanding (ACU). The role combines ~50% technical leadership/mentorship and ~50% hands-on work building and operating content-understanding signals (knowledge graph, taxonomies, opinion mining, product/entity extraction) for Ads. Responsibilities include designing ML systems and pipelines, evaluation/quality monitoring (LM-judge practices), LLM usage and distillation, setting SLOs/alerts/dashboards, and driving operational excellence at scale. Requires 7+ years of relevant experience delivering production ML systems and strong experience with NLP/LMs, PyTorch/TensorFlow, Python, and production-grade engineering.

Work on RL post-training infrastructure that scales from single-GPU experimentation to production across thousands of nodes, focusing on rollout generation, training-inference loops, fault tolerance, and performance tuning. Requires expertise in distributed systems, deep learning infrastructure, PyTorch, Kubernetes, and proficiency in Python and C++.

Senior engineer role owning end-to-end abuse detection and response: design and implement LLM guardrails, build AI-powered classifiers and automated enforcement, integrate/tune security scanners in CI, and analyze abuse patterns using BigQuery/Hex. Requires 8+ years in security engineering/anti-abuse/fraud detection and experience with Python/TypeScript, SQL at scale, ML/LLM classifiers, and familiarity with common attack vectors.