Spellbrush Logo

Spellbrush

AI Infrastructure Engineer

Reposted 20 Hours Ago
In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
As an AI Infrastructure Engineer at Spellbrush, you will design and run inference architectures for ML models across platforms, ensuring optimal performance and scalability.
The summary above was generated by AI

The Role:

Spellbrush, the world’s leading generative AI studio behind niji・journey, is looking for an AI Infrastructure Engineer to join us in building out end-to-end ML infrastructure to run our models on all platforms.


What you’ll do:
  • Design, implement and run our next-generation inference architecture for running all our models powering all platforms and applications (mobile, web, etc.).

  • Work alongside a fast-paced and nimble team developing the latest state-of-the-art image generation models serving over 16 million users

You might be a great fit if:
  • You have experience with large distributed systems
    You have familiarity with the latest hotness like K8S, Kafka, NATS, Redis, etc. You’ve cut your teeth on both on-prem and multi-cloud clusters. But most importantly, you deeply understand the tradeoffs and the failure mode of each system you introduce (and potentially even have the battle scars to prove it!).

  • You have an excellent understanding of GPU’s handling large workloads
    GPU workloads are different from traditional CPU workloads in very interesting ways. Experience deploying, or even optimizing them end-to-end, is a huge plus for this role

  • The anime aesthetic resonates with you.
    It's no secret – we're huge anime enthusiasts, and our work focuses on the anime aesthetic. Your work will enable millions of users to partake in an evolving creative movement.

  • You're comfortable working on small, fast-paced teams
    We currently have a small tight-knit team on AI. You'll be working closely alongside some of the best AI researchers in the world, on the literal best image model in the world.
    We also believe in the unmatched speed of in-person teams, and prefer on-site collaboration in either our primary research office in Tokyo (downtown Akihabara), or San Francisco. Visa sponsorships are available.

The final base salary is dependent upon location, experience, fit, and other factors. In addition, we offer a generous compensation package that includes equity, top-tier employer-sponsored health, dental, and vision insurance, and additional perks!

At Spellbrush, we value creativity, collaboration, and innovation. If you're excited about working with cutting-edge technology and passionate about anime, gaming, and generative AI, we’d love to hear from you!

To apply - please share your previous work experience/resume, Github, or portfolio and the name of the best waifu or husbando in your message!

HQ

Spellbrush San Francisco, California, USA Office

San Francisco, California, United States

Similar Jobs

7 Hours Ago
In-Office
San Francisco, CA, USA
320K-490K Annually
Expert/Leader
320K-490K Annually
Expert/Leader
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead design and operation of a centralized AI and data platform for autonomy: define compute strategy, build distributed training and simulation systems, manage multi-modal datasets and MLOps, enable model evaluation, optimization, and deployment to constrained edge and customer environments, and drive platform standardization and broad adoption across programs.
Top Skills: Air-GappedArtifact ProvenanceCloudData CatalogData LineageDataset VersioningDistributed TrainingEdge DeploymentEoEwFeature StoreFoundation ModelsGpu ClustersHigh-Speed NetworkingHpcHybridImuIrMarlMlopsModel DistillationModel RegistryMulti-Fidelity SimulationOn-PremiseParallel StoragePruningQuantizationRadarRlSchedulersScifSimulation
8 Days Ago
Hybrid
2 Locations
209K-286K Annually
Senior level
209K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead design, development, deployment, and support of scalable GenAI platform components (foundation model training, LLM inference, vector search, guardrails, evaluation, observability). Optimize training and inference performance, contribute to technical vision and roadmap, and partner with cross-functional teams to deliver responsible, production-grade AI systems.
Top Skills: Aws UltraclustersC#C++Go (Golang)HuggingfaceJavaLarge Language ModelsLlm InferenceNemo GuardrailsPythonPyTorchScalaSimilarity SearchVectordbs
19 Minutes Ago
In-Office
San Jose, CA, USA
149K-216K Annually
Senior level
149K-216K Annually
Senior level
Artificial Intelligence • Internet of Things • Machine Learning
Design, build, and operate scalable ML pipelines and infrastructure across cloud and on‑prem HPC. Implement MLOps tooling (tracking, registries, feature stores), CI/CD/CT, containerized GPU orchestration, model optimization (LLMs, GNNs, RL), data/versioning pipelines, monitoring, and mentor engineers to productionize ML for EDA and simulation workloads.
Top Skills: AirflowArizeAutogenAws SagemakerAzure MlBashCadenceCloudFormationDeepspeedDockerDvcElk StackEvidently AiFeastFsdpGcp Vertex AiGoGrafanaHugging FaceJaxKubeflowKubernetesLangchainLsfMlflowPrometheusPythonPyTorchScikit-LearnSiemens EdaSlurmSQLSynopsysTensorFlowTerraformWeights & BiasesXgboost

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account