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Cresta

Senior Machine Learning Engineer

Cresta
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20 days ago
Remote, United StatesSenior / Mid Level
H1B Sponsor

Base Salary

$205k - $270k/yr

Responsibilities

  • Lead the design and development of Cresta’s next-generation AI Agents and Agentic Assist systems.
  • Architect intelligent, multi-step agent workflows that integrate real-time guidance and automated actions.
  • Design, deploy, and optimize LLM-powered systems, including Retrieval-Augmented Generation pipelines.
  • Improve reasoning, planning, and tool-use capabilities in real-world AI applications.
  • Develop evaluation strategies for complex, non-deterministic systems.
  • Diagnose and mitigate real-world failure modes in AI systems.
  • Define and measure quality metrics to enhance system reliability and performance.
  • Optimize AI systems for scalability, latency, security, and cost efficiency.
  • Collaborate with product, frontend, and backend teams to integrate AI capabilities.
  • Mentor engineers and contribute to the technical strategy and roadmap.

Requirements

  • Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s or Ph.D. preferred.
  • 5–8+ years of industry experience building and deploying machine learning systems in production.
  • Strong expertise in NLP, Generative AI, transformer architectures, embeddings, and retrieval systems.
  • Proven experience designing and deploying Retrieval-Augmented Generation systems in enterprise environments.
  • Experience building and evaluating complex agentic or multi-step LLM workflows.
  • Strong knowledge of modern ML frameworks and tools such as PyTorch and TensorFlow.
  • Demonstrated ability to optimize real-time ML systems for performance and reliability.
  • Strong technical leadership skills to influence cross-functional decisions.

Benefits

  • Comprehensive medical, dental, and vision coverage.
  • Flexible PTO to take the time you need.
  • Paid parental leave for all new parents.
  • Retirement savings plan to help you plan for the future.
  • Remote work setup budget for a productive home office.
  • Monthly wellness and communication stipend.
  • In-office meal program and commuter benefits for onsite employees.

Tech Stack

PyTorchTensorFlow

Categories

AI & MLData Science