Senior Machine Learning Engineer

Cresta
United States
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: mastersSkills: []

Drive the design and deployment of agentic ML systems at Cresta, focusing on LLMs, RAG, and scalable ML pipelines. Build real-time, enterprise-grade AI workflows, evaluate models, and collaborate with product and engineering teams to integrate AI capabilities into Cresta’s platform.

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FursaFursa
Cresta
Cresta
1 year ago

Senior Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Drive the design and deployment of agentic ML systems at Cresta, focusing on LLMs, RAG, and scalable ML pipelines. Build real-time, enterprise-grade AI workflows, evaluate models, and collaborate with product and engineering teams to integrate AI capabilities into Cresta’s platform.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Build and optimize agentic AI workflows that enable users to dynamically interact with and refine outputs from ML systems.
  • •Research and implement advanced ML and NLP techniques, including transformer-based models, embeddings, and retrieval-augmented generation.
  • •Develop evaluation frameworks to assess accuracy, robustness, and usability of ML/LLM models in production environments.
  • •Design, train, and deploy machine learning models for tasks such as classification, entity identification, information extraction, retrieval, topic discovery, and structured insight generation.
  • •Architect and optimize RAG pipelines for grounding LLMs with enterprise data to ensure accuracy and reliability.

Pay and Benefits

Perks:Health InsuranceDentalVisionParental LeaveWellness StipendRemote WorkMeal Allowance

Key Requirements

  • •Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field.
  • •5+ years of hands-on experience building and deploying ML models in production.
  • •Strong knowledge of ML frameworks and NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face, spaCy, NLTK).
  • •Solid experience with modern ML techniques including transformer architectures, embeddings, retrieval systems, and large-scale model training.
  • •Experience designing and deploying Retrieval-Augmented Generation pipelines for enterprise use cases.
Experience:5+ yearsMLNLPRAGLLMAI
Education:Master's
Languages:English
Tech Stack:PyTorchTensorFlowHugging FaceSpaCyNLTKTransformersLLMsRetrieval-Augmented GenerationRAG

Company Brief

Cresta
Builds AI-driven real-time coaching and assistance for customer-facing teams, using conversational intelligence to improve agent performance, automate workflows, and boost customer outcomes across contact centers and sales operations.
Industry: SaaS
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: San Francisco, United States
Founded: 2017
WebsiteLinkedIn