Top AI & Machine Learning Jobs

Leads DigitalOcean’s Applied Research function for agentic AI, setting the research agenda across model routing, memory, observability, and reinforcement learning. Builds and manages a research team, connects research investments to product outcomes, and partners with engineering to ship production capabilities that improve reliability, cost, latency, and task success. Represents the company externally through publications, talks, open-source work, and research collaborations.

Design and optimize scalable, multi-tenant serverless inference infrastructure and APIs for large-scale AI workloads. Build highly available distributed services, improve GPU utilization, observability, capacity management, fault tolerance, and operational automation. Partner with platform and GPU infrastructure teams, contribute to architecture decisions, participate in on-call and incident response, and provide technical leadership and mentorship to engineers.

Serve as a technical partner to sales and customer success teams, advising high-value customers on cloud infrastructure and AI/ML solutions. Responsibilities include architecture reviews, proofs of concept, demos, onboarding, technical workshops, infrastructure optimization, LLM deployment and fine-tuning, GPU workload optimization, AI application design, data pipeline and database integration, escalations, documentation, and development of tools for premium customers. Collaborate globally with Engineering, Product, Support, and account teams.

Own DigitalOcean’s enterprise AI-native architecture, including agent orchestration, shared AI platform services, tool and capability layers, enterprise-system integrations, identity, authorization, governance, observability, evaluation, and cost controls. Build production prototypes and reference implementations, write code, establish technical standards, mentor distributed engineers, and re-engineer business workflows with functional teams. Partner across platform engineering, security, identity, data, and business technology to deliver governed, scalable agentic systems.

Lead and scale a Customer Success Engineering team supporting strategic cloud and AI/ML customers. Own 24x7 support operations, escalations, KPIs, and technical enablement across Kubernetes, databases, compute, GPUs and MLOps. Act as technical escalation for Sev1/Sev2 incidents, partner with TAMs and Product/Engineering, improve escalation runbooks and knowledge base, and drive automation and tooling to improve CSAT, response/resolution times, and support quality.

The Staff Forward Deployed Engineer drives AI adoption for strategic customers by solving complex cloud infrastructure challenges, developing scalable assets, and influencing product roadmaps through collaboration and technical expertise.

The Staff Forward Deployed Engineer will work with AI-Native customers to solve cloud infrastructure challenges, build scalable tools, optimize AI workloads, and influence product development by embedding with clients and establishing best practices.

Lead architecture and low-level optimizations for LLM inference to maximize throughput and minimize latency. Profile and optimize GPU kernels, implement quantization and parallelization strategies (FP8/INT8/FP4), tune libraries (AITER, Triton, CUDA, ROCm), and mentor engineers while translating hardware limits into shippable platform features.

Lead design and implementation of scalable, multi-tenant serverless inference services focused on throughput, GPU utilization, resiliency, observability, and operational tooling. Partner with platform and GPU teams, debug production performance issues, mentor engineers, drive incident response, and create reusable patterns, standards, and automation for inference workloads.

Lead benchmarking and performance optimization for AI inference at GPU/kernel levels. Solve memory bandwidth and compute bottlenecks, implement quantization and parallelization (multi-node), advise on hardware/software stacks, mentor engineers, and collaborate to ship high-performance inference features.