
Machine Learning Engineer
Posted Aug 5

Posted Aug 5
This is a fully remote position, open to applicants in United States.
• Design and develop scalable AI infrastructure and services tailored for agentic AI applications.
• Create advanced reasoning and agentic functions that enable autonomous and adaptive AI agents.
• Establish monitoring, evaluation, and optimization processes to ensure production reliability and responsiveness.
• Apply emerging agentic AI techniques in practical settings and influence product direction.
• Work collaboratively with applied scientists, engineers, and product teams to transform experimental prototypes into stable production systems.
• Contribute to the establishment of best practices in distributed machine learning systems, scalable architecture, and responsible AI deployment.
• Bachelor’s or Master’s degree in Computer Science or a related field.
• Over 2 years of experience in building production machine learning systems and services.
• Familiarity with AI agent frameworks, orchestration, or multi-step reasoning applications.
• Strong programming expertise in Python.
• Experience with machine learning/AI frameworks including TensorFlow, PyTorch, LangChain, and LangGraph.
• Background in designing and managing scalable, cloud-based machine learning infrastructure.
• Capability to collaborate within cross-functional teams to deliver AI-driven features.
• Must be a resident of the United States, with limited exceptions.
• Equity awards determined by experience, performance, and location.
• Flexible distributed work model (Cloud HQ).
• A culture that is inclusive, innovative, and engaging.
• Opportunities for employees to grow and develop.
• Commitment to equal employment opportunities.
• Accommodation for disability or special needs.
NVIDIA
SentiLink
SentiLink
Leega
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