Join Coinbase's IT Operations (ESTO) to build and scale core AI infrastructure and internal AI products. Responsibilities include owning end-to-end delivery of production-grade distributed systems (serving infrastructure, data pipelines, deployment orchestration), designing APIs and developer tooling, partnering across teams to define platform contracts, and raising engineering standards. Role is remote-first for the USA with quarterly in-person working sessions.

Join the ESTO IT Operations team to build production-grade AI infrastructure and internal AI products. Responsibilities include owning end-to-end delivery of distributed systems (serving infrastructure, data pipelines, deployment orchestration), driving platform adoption via clean APIs and developer tooling, and ensuring reliability, observability, and security at scale. Requires 5+ years automating/supporting cloud (AWS) and network environments, hands-on IaC (Terraform/Ansible/Chef/Puppet/Salt), production Docker/Kubernetes experience, and proficiency in languages such as Python, Bash, Ruby, or Go. Quarterly in-person "surges" are expected.

Join Coinbase as a Staff Software Engineer in the EAA-CX organization to drive AI maturity and developer-experience across multiple engineering squads. Responsibilities include architecting and delivering large-scale distributed backend services (API design, microservices), improving reliability and observability (SLOs, incident response), evaluating build-vs-buy for tooling, and integrating agentic AI systems (LLM orchestration, RAG, HITL). Role requires 8+ years of experience and proficiency with cloud-native technologies (AWS, Kubernetes, Terraform), event-driven systems (Kafka/MQ), databases, security and compliance controls, and strong coding ability in Go and Python.

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.

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.

Responsible for end-to-end perception solutions (lane/road/traffic element detection, online mapping) using deep learning and computer vision. Role requires experience with frameworks like PyTorch, strong programming in Python/C++, data-driven development with labeling and simulation, and productizing models to meet safety, latency, and robustness requirements.

Work on Reddit's Notifications Relevance team to design and implement large-scale recommendation systems (retrieval, ranking, budget optimization), deploy ML models and LLMs in production, ensure monitoring and product integration, and mentor senior/staff engineers. Requires 10+ years' industry experience with large-scale recommendation systems and experience with PyTorch/TensorFlow, Python and/or Golang.

Owner of AI application readiness and performance for DGX Station: profile workloads, identify GPU/NVLink/host bottlenecks, drive optimizations across frameworks, compilers, and kernels (PyTorch/TensorFlow/JAX, TensorRT, CUDA), validate full NVIDIA AI stack, and build benchmarking/regression infrastructure to ensure production-ready multi-GPU performance.

Pindrop is hiring a Research Scientist II to conduct and translate research into production-ready models for real-time video processing, face recognition, and deepfake detection. Requires a PhD or equivalent and 3+ years of professional deep learning experience; strong Python and ML framework skills (PyTorch/TensorFlow). US remote; stated base pay range $160,000–$185,000 USD.

AE Studio seeks an experienced Alignment Scientist/Engineer to perform near-full-time alignment R&D, working autonomously on ML research, experiments, and deployments. The role requires strong skills in Python, PyTorch, modern deep learning tooling, model training/evaluation, calling model APIs, and communicating technical work; experience in alignment or ML research is expected. The position is remote-first (US candidates noted) and the posted US salary range is $180,000 to $240,000 per year.

Hands-on technical leader reporting to the Director, Enterprise AI. Responsibilities include diagnosing business problems, mapping workflows, designing and shipping AI solutions quickly (prototypes to production), integrating with existing systems (APIs, orchestration tools, GitLab Duo Agent Platform), and measuring success with business and flow metrics. Strong engineering fundamentals, LLM/AI expertise, systems thinking, and experience with enterprise systems (e.g., Salesforce, Marketo, Zendesk) are emphasized. Role is remote with a U.S. salary range provided.

Mid-level software engineering role focused on implementing product features and services across backend and frontend, collaborating on technical design, contributing to CI/CD pipelines, testing, monitoring, and operational reliability. Requires 3+ years of professional experience, strong C#/.NET and API skills, familiarity with Docker and cloud platforms (Azure/AWS), and experience with AI development tools.

Hands-on senior engineering role building and optimizing real-time speech-to-text pipelines (streaming ASR, VAD, audio processing), improving transcription via context injection, developing LLM-powered post-processing (grammar correction, filler removal, mention resolution), and creating voice-to-action systems. Involves evaluating and integrating ASR models (e.g., Whisper, AssemblyAI, Fireworks) and exploring multimodal (screen+voice+text) assistant capabilities while collaborating with product and platform teams.

Build and automate scalable performance analysis tools and integrations for AI training and inference, collaborate with performance engineers, hardware architects, and software teams, and identify/automate detection of performance bottlenecks. Requires M.S. or PhD (or equivalent), 6+ years' relevant experience, deep knowledge of AI workloads and frameworks, and strong software skills (Python, C++).

Udacity (an Accenture company) seeks external contractors to serve as technical mentors for Agentic AI content. Responsibilities include 1:1 video support, technical deep-dive sessions, and group Q&A. Requires 5+ years technical experience and hands-on knowledge of LLMs, prompt engineering, agent design (tooling, APIs, memory/state), RAG, multi-agent systems, and agent evaluation.

NVIDIA is hiring a Senior Solutions Architect to lead customer technical engagements with hyperscalers and cloud providers for AI training, inference, and large-scale AI infrastructure. Requires 8+ years experience, strong Linux and ML infrastructure knowledge, and proficiency in Python; experience with GPUs/CUDA, containerization (Docker/Kubernetes), distributed training, and frameworks like PyTorch or JAX is desirable. Posted salary ranges from USD 184,000 to 356,500 per year across levels.

NVIDIA seeks a Senior AI Infrastructure Software Engineer for the DGX Cloud team to design, build, and maintain scalable AI platforms for large-scale training, inference, fine-tuning, and agentic AI. Responsibilities include developing platform tools, optimizing AI/ML workload efficiency and resiliency, triaging failures from application to hardware, co-designing APIs, and defining reliability metrics. Requires 8+ years building software infrastructure for large-scale AI systems, experience with Kubernetes and observability stacks (ELK, Prometheus, Loki), proficiency in Golang/Python/C/C++, and experience with distributed systems and AI training/inference. Location: US (remote / Redmond, Seattle, Santa Clara).

Veeva seeks a Principal Software Engineer (Python) to help build an AI-driven enterprise SaaS platform. Responsibilities include full feature ownership, technical design, production support, and mentoring. Requires 12+ years of software development experience, production-level Python, experience with cloud-scale SaaS, and excellent English communication. Based in Raleigh, NC with flexible Work Anywhere options; no visa sponsorship provided.

Arize AI is hiring a Forward Deployed AI Engineer to work with enterprise AI teams from the New York City metro area to design, implement, and scale production-grade generative AI observability and evaluation programs. The role requires 2+ years of software development experience, proficiency in at least two of Python/Java/TypeScript, experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes), and strong client-facing and project management skills.

Role involves end-to-end development of credit risk and portfolio models—data exploration, feature development, prototyping, deployment, monitoring, and iteration. Requires strong quantitative background (statistics, ML, optimization, economics), Python and SQL experience, and a track record shipping ML products in production. 5+ years industry experience (or 3+ with PhD).