Stealth Startup

Stealth Startup

AI Research Scientist / Machine Learning Engineer (PhD) [33320]

San Francisco, California

Sponsorship not specified$300k-$360kDetected 12 days ago
PythonJavaC++Distributed SystemsAlgorithmsAWSGCPAzureCloud PlatformsDockerKubernetesMachine LearningDeep LearningTensorFlowPyTorchData EngineeringLLMsMLOpsStatisticsA/B TestingRoboticsResearchCommunication

About the role

  • You will work at the intersection of research and engineering, transforming advanced ML techniques into scalable, production-ready systems.

Responsibilities

  • Build and deploy production-ready ML systems and inference pipelines.
  • Collaborate with software engineers to integrate AI capabilities into customer-facing products.
  • Optimize model accuracy, efficiency, and scalability.
  • Develop data pipelines, model evaluation frameworks, and experimentation workflows.
  • Experience building scalable ML pipelines and distributed training or inference systems.

Requirements

  • 4+ years of industry experience in AI/ML research or engineering OR
  • Strong programming skills in Python and experience with C++, Java, or Go.
  • Hands-on experience with PyTorch, TensorFlow, or JAX.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies.

Nice to have

  • Experience with distributed systems, MLOps, Kubernetes, Docker, and CI/CD.
  • Publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) are a plus.
  • Startup or high-growth technology company experience.

Compensation

  • $300k-$360k

Benefits

  • Research, design, and develop advanced machine learning and AI models.
  • Stay current with the latest advancements in machine learning, deep learning, LLMs, and generative AI.
  • We are seeking a PhD-level AI Research Scientist or Machine Learning Engineer to develop cutting-edge AI and machine learning solutions that power next-generation products.
  • PhD in Computer Science, Machine Learning, Artificial Intelligence, Robotics, Statistics, Applied Mathematics, or a related quantitative field.
  • 1-2 years of experience as a Machine Learning Engineer with proven experience deploying ML models into production.
  • Strong understanding of algorithms, deep learning, and software engineering best practices.
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This listing is sourced directly from Stealth Startup's careers page and normalized into a canonical job model.