Hands-on player‑coach role leading execution of the production photogrammetry pipeline (SfM, MVS, depth estimation, mesh reconstruction) and integrating newer 3D approaches (gaussian splats, foundation 3D models). Requires 7+ years in 3D computer vision/3D ML, production experience at scale, proficiency in C++ and modern ML frameworks, cloud/containerization experience, and experience driving AI/agentic development and observability for production systems.

Lead technical vision and architecture for AI-native, agentic software at enterprise scale. Responsibilities include designing multi-agent orchestration, agent infrastructure, evaluation and validation harnesses, CI/CD gates, governance, and security. Role expects deep experience (typically 15+ years) in distributed systems, cloud platforms, LLMs and advanced AI architectures, and proficiency in languages such as Rust, Python, Go, C++, or TypeScript.

The Senior AI and Data Architect will serve as a technical lead and subject-matter expert for Salesforce Agentforce within CSG Professional Services (Data Excellence). The role splits between customer-facing delivery (designing and building Agentforce solutions, writing Apex/SOQL) and internal enablement (reference architectures, reusable assets, training). Requires hands-on Agentforce experience, Salesforce AI Specialist certification and Agentblazer Innovator status, expertise in RAG, vector databases, LLMs, Data Cloud and data integration, and willingness to travel <10%. Typical base salary range listed: $150,100–$227,000/year (location-dependent ranges apply).

Work with founding and product engineering teams to prototype, develop, and operate Generative AI features and ML integrations (LLMs, fine-tuning, inference platforms) across backend and frontend. Requires 6+ years' experience and experience with MLOps, TypeScript/JavaScript and either Node.js or React; role includes on-call duties. Remote role for United States candidates; salary range $225,000–$265,000 USD/year.

Role responsible for designing and implementing shared AI platform services (model serving, prompt management, retrieval infrastructure, embedding pipelines, vector store management), establishing integration standards, monitoring and safety practices, and driving adoption across product teams. Requires 8+ years of software engineering experience and 3+ years integrating LLMs/ML models into production; familiarity with cloud-managed AI services and regulated-industry constraints.

NVIDIA seeks a Senior Deep Learning Hardware Modeling Architect to create executable C++ models, drive component- and system-level architectural specifications, and resolve performance/correctness issues across hardware subsystems. Requires a BS or higher (or equivalent), 5+ years relevant experience, expert C++ skills, and experience with RTL/chip design concepts. Location: US (multiple states) with remote/hybrid options. Base salary ranges provided for levels 3 and 4 (152,000–241,500 USD and 184,000–287,500 USD respectively).

Zip seeks a Group Product Manager, AI to define and drive strategy for AI products (including agent architectures, LLMs, prompt engineering, and evaluation) and deliver measurable business impact across consumer and merchant experiences. Role is remote-first for US-based employees with an option to work from the Manhattan office and requires ~10+ years in product management, including leadership experience.

NVIDIA is hiring a Senior Perception Engineer to design end-to-end perception solutions (lane graphs, road boundaries, traffic elements, online mapping) using deep learning for autonomous vehicles. The role requires hands-on experience with deep learning (e.g., PyTorch), strong programming skills (Python and/or C++), data-driven development with large labeling teams, and productizing models to meet safety, latency, and robustness requirements. Salary ranges are provided for different levels (annual USD).

Lead research on audio-visual deepfake detection, synthetic media identification, and real-time video processing. Design, implement, and evaluate ML and computer vision algorithms for video, transition research prototypes to production across cloud/edge, publish papers and patents, and mentor junior researchers. Requires PhD or equivalent, 3+ years research experience in deep learning/computer vision, and strong Python and ML framework expertise.

Join Reddit's Notifications Relevance team to design and build end-to-end, large-scale recommendation systems for notifications (push, email, in-app). Responsibilities include candidate retrieval, ranking, budget optimization, integrating and deploying LLMs, monitoring, cross-functional collaboration, and mentoring senior engineers. Remote (United States). Base salary range: $266,000–$372,400 USD per year.

Lead technical visionary for Capital One’s Partnership Card organization focused on architecture, scalable and operable systems, and driving AI-enabled engineering. Responsibilities include articulating technical vision, decomposing complex problems, ensuring non-functional system characteristics (performance, scalability, operability), mentoring engineers, and delivering across the full system development lifecycle. Role is remote-eligible, permanent, and the posting lists annual salary ranges (USD) for locations between $286,200 and $392,000. Capital One may sponsor employment authorization.

Role responsible for profiling, benchmarking, and optimizing AI workloads (training and inference) across the full stack on DGX Station (GB300 Blackwell GPUs). Requires deep experience with GPU architecture, multi‑GPU scaling, deep learning frameworks (PyTorch/TensorFlow/JAX), CUDA/C++/Python, profiling tools (Nsight, CUPTI), and performance validation for production readiness.

Independent researcher on the Video team responsible for designing, implementing, and evaluating deep learning algorithms for video processing, face recognition, and deepfake detection; building reproducible research packages, collaborating to deploy models to production, and contributing to patents and publications. Requires PhD or equivalent and 3+ years of relevant deep learning experience; strong Python and modern ML framework skills. US base pay range $160,000–$185,000 USD.

AE Studio seeks an experienced, high-agency technical generalist to perform ML and AI-alignment research. Candidates should be skilled in Python, PyTorch, and the modern deep learning stack; comfortable building, training, and evaluating models; able to call model APIs; and experienced in designing testable experiments. Role is remote-first (LA office available); compensation for US-based candidates is listed as $180K–$240K/year.

CrowdStrike is hiring a Principal Data Engineer for its Data Science Platform Engineering team to architect, implement, and operate Exabyte-scale data platforms supporting LLMs, RAG, and agentic systems. Role requires 10+ years in data/platform engineering (including 3+ years on AI/ML platforms), hands-on LLM experience (fine-tuning, prompt engineering, deployment), expertise in distributed data processing, cloud platforms, containerization, streaming, and MLOps. Location: remote (Canada and USA listed). U.S. base salary range stated: $195,000–$290,000 USD/year; Canadian range also provided in the posting.

Seeking senior/staff-level engineers to build agentic applications and tooling at the frontier of LLM-powered development. Hands-on work with coding agents and LLM infrastructure, shipping quickly in a high-ambiguity, deadline-driven environment. Core stack: Next.js, Node.js, TypeScript. Hours: 40 minimum, up to 80 per week. RAG and RL experience are nice-to-have.

Hands-on AI Engineer role on GitLab's Enterprise Technology & AI team to diagnose business workflows, design practical AI interventions (LLMs, prompt engineering, RAG, agent patterns), integrate solutions into enterprise systems, and measure outcomes using flow and business metrics. Role is remote (US) and the posted US base salary range is $108,400–$129,600 USD per year.

Join NVIDIA to develop NeMo Evaluator and related NeMo Platform tooling: design Python-first APIs/SDKs and build systems for ingesting, validating, analyzing, and evaluating agent execution data. Requires 5+ years of software engineering experience, strong Python and distributed/cloud-native systems skills, and experience with observability, testing, and performance in production systems.

Join Chainlink Labs as a Lead AI Solutions Engineer on the People Technology and Analytics team to architect, build, and operationalize AI tools and agentic workflows (including Claude) across the People function. The role focuses on automation of recruiting, onboarding, reporting, performance cycles, and system implementations using Google Cloud (BigQuery, Vertex AI, Cloud Functions), APIs, iPaaS, and scripting (Python/JavaScript). This is a global, remote role with an expectation to overlap some hours with Eastern Standard Time.

Work with the founding team and engineers to design, train, evaluate, and productionize ML models (including language models). Build and maintain ML pipelines, run iterative experiments, optimize model performance (fine-tuning, hyperparameter search), and translate research advances into production-ready systems. Requires 4+ years' industry or research experience, strong Python and PyTorch/TensorFlow skills, and familiarity with MLOps tooling.