Google Deepmind

60 Google Deepmind Full Time Jobs Hiring Near You

Member of Technical Staff - Intern

San Francisco, CA · On-site

$16.50 - $22.50/hr

This role has a natural path towards full-time conversion. About Us NeoSigma is a product-driven ... We are backed by world-class investors and leaders from Google DeepMind, OpenAI, Decagon and others.

Senior Site Reliability Engineer

Austin, TX · On-site

$56.50 - $75/hr

Providing a reliable framework will accelerate progress integrating Google DeepMind's Gemini ... Minimum of 5 years of professional, full-time experience building and maintaining reliable ...

Raised an unannounced round from investors behind Google Deepmind, Bytedance, Anduril, Together AI ... Comfort with Vector DBs (Pinecone, OpenSearch) and semantic search systems. * 1+ year full time ...

Applied AI Transformation Manager

New York, NY · On-site

$124K - $127K/yr

... Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our hardest challenges ... SWE intern or full time work experience * 3-5 years at a big 3 strategy consulting firm with a ...

Platform Engineer

San Francisco, CA · On-site

$180K - $400K/yr

Raised an unannounced round from investors behind Google Deepmind, Bytedance, Anduril, Together AI ... Comfort with Vector DBs (Pinecone, OpenSearch) and semantic search systems. * 1+ year full time ...

Founding AI Engineer

San Francisco, CA · On-site

$120 - $250/hr

# Founding AI EngineerRemote (US) or Hybrid (SF Bay Area)Full-time$120,000-$250,000 + equity## About ... The founding team combines AI/ML research leadership at Google DeepMind and Amazon with product ...

Applied AI Transformation Manager

New York, NY · On-site

$124K - $127K/yr

... Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our hardest challenges ... SWE intern or full time work experience * 3-5 years at a big 3 strategy consulting firm with a ...

Applied AI Transformation Manager

San Francisco, CA · On-site

$134K - $137K/yr

... Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our hardest challenges ... SWE intern or full time work experience * 3-5 years at a big 3 strategy consulting firm with a ...

Raised an unannounced round from investors behind Google Deepmind, Bytedance, Anduril, Together AI ... Successful candidates might be offered a Full Time offer. * Free housing, food, and transportation.

Raised an unannounced round from investors behind Google Deepmind, Bytedance, Anduril, Together AI ... Successful candidates might be offered a Full Time offer. * Free housing, food, and transportation.

Showing results 41-60

ML Infrastructure Engineer, Training Redwood City, CA Fulltime

Dyna Robotics, Inc

Redwood City, CA • On-site

$180 - $260/hr

Other

Posted 9 days ago


Job description

Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance. Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world. Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors.

The Role

As a ML Training Infrastructure Engineer, you will architect and build the systems that turn our multi-cloud GPU fleet into a training engine our researchers love. Your charter is singular and broad: own training infrastructure end-to-end so that every GPU is busy, every run is reproducible, and every researcher's next experiment is one command away.

What You'll Do
  • Scale Distributed Training: Architect and own the infrastructure for large-scale GPU clusters. You'll implement sharding, activation checkpointing, and memory optimization (ZeRO, FSDP) to enable the training of massive multimodal models.

  • Optimize Researcher Ergonomics: Build a research codebase and job scheduling system (Kubernetes/SLURM) that prioritizes fast iteration, automated retries, and seamless failure recovery.

  • High-Performance Data Handling: Design high-throughput pipelines to ingest and transform terabytes of multimodal robot data (video, proprioception, 3D signals), ensuring dataloaders never starve the GPUs.

  • Production Inference: Build low-latency inference pipelines for real-time robot control. You'll apply quantization, distillation, and model compilation (TensorRT, Triton) to move models from the lab to the physical world.

  • Deep Systems Profiling: Dive into the weeds of GPU utilization, I/O bottlenecks, and memory fragmentation to squeeze every bit of performance out of our expanding compute fleet.

What You'll Bring
  • 7+ Years of Engineering: With a track record of leading technical projects in high-performance computing (HPC) or ML infrastructure.

  • ML Systems Mastery: Deep experience with PyTorch and distributed training frameworks (DeepSpeed, Accelerate). You understand the nuances of mixed precision and gradient accumulation.

  • Infrastructure Expertise: Hands-on experience managing cloud GPU environments (GCP/AWS) and container orchestration (Kubernetes).

  • Low-Level Intuition: A fundamental understanding of distributed systems, including race conditions, memory management, and NCCL/inter-node communication.

  • Ownership Mindset: You don't just "deploy" code; you design, build, and operate systems end-to-end to unblock fast-moving research.

Bonus Points For
  • Experience with Robotics Data Formats (MCAP, Protobuf) or multimodal models (VLAs).

  • Deep ML systems experience: custom kernels (Triton), compilers, or runtime optimization.

  • Experience as a founding or early-stage infrastructure hire.

At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit. We are an equal opportunity employer committed to technical rigor and mutual respect.

Don't let a checklist stop you. Data shows that underrepresented groups often only apply if they meet 100% of the criteria. We value problem-solving and grit over keyword matching. If You're passionate about the intersection of geometry and robotics, we want to hear from you - even if you don't check every box.

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