Physical Superintelligence: Building AI systems to discover new physics at scale.
3+ YOE3+ years building and operating ML training or inference infrastructure; distributed training and model-serving experience; strong software engineering and ML fluency to debug training and inference; cloud and IaC experience preferred.
New York or Chicago or Boston or Toronto or London
$130k-$147k/yrHybridFull Time
Curinos: Providing data-driven decision intelligence for global financial institutions.
Experience operationalizing production ML/AI on Databricks, MLflow, Databricks Model Serving; strong Python, Spark, SQL; CI/CD and monitoring for model performance, safety, and governance.
Databricks, Databricks Workflows, Delta Lake, Delta Live Tables, Asset Bundles, Unity Catalog, Genie Code, MonteCarlo, Fiddler, MLflow, Databricks Model Serving, Python, Spark, SQL, Jenkins, shell, Yarn, AWS, chatGPT, Claude, Copilot
Arlington or Atlanta or Boston or Chicago or Culver City or Houston or Irving or Morristown or New York City or San Diego or San Francisco or Seattle
$59k-$188k/yrHybridFull Time
AccentureNYSE: ACN: Global professional services firm providing consulting and technology solutions.
3+ YOEBachelor's degree in a relevant field; 3+ years of client-facing technical delivery and hands-on backend, API, full-stack, data, model-serving, or agentic orchestration experience; Python proficiency required.
Python, TypeScript, JavaScript, Electron, FastAPI, Docker, Microsoft Windows, MCP, Microsoft Azure
Glia AI: Automated AI systems engineering for high-performance infrastructure.
Proven engineering leader with hands-on systems and software expertise across model serving, distributed systems, and AI workloads; strong Python and PyTorch skills; experience managing small, high-performance teams.
Spring or San Jose or Durham or Fort Collins or Andover
$170k-$413k/yrHybridFull Time
Hewlett Packard EnterpriseNYSE: HPE: Provides edge-to-cloud IT infrastructure and platform services.
15+ YOE5+ MgmtBachelor's in CS/engineering required; 15+ years product experience with 5+ years leading product teams in AI/ML or data infrastructure. Experience with AI platforms, model serving, GPU ecosystems, GTM and monetization.