Cresta

4 months ago

Staff Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Experienced machine learning engineer leading and delivering production-grade AI systems at scale. You’ll shape the technical vision for agentic AI initiatives, build scalable LLM-based architectures, orchestrate multi-agent workflows, and establish evaluation and reliability practices across ML, backend, and product teams in a high-impact, enterprise setting.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Define and lead the technical vision for Cresta’s next-generation Agentic AI systems, including Agentic Assist and enterprise AI Agents.
•Architect scalable, production-grade LLM systems that integrate reasoning, retrieval, planning, tool use, and real-time decision-making into cohesive, intelligent workflows.
•Design and evolve multi-agent orchestration frameworks that combine RAG, structured knowledge, domain-adapted models, and automated actions.
•Establish best practices for building robust, reliable, and cost-efficient LLM-powered systems in high-scale production environments.
•Own evaluation strategy for complex, non-deterministic AI systems, including offline benchmarking, online experimentation, LLM-as-a-judge methodologies, and systematic failure analysis.

Pay and Benefits

Salary: USD 230,000 - 300,000 annually

Perks:Health InsuranceDentalVisionRemote WorkLearning BudgetRetirement Savings

Key Requirements

•Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s or Ph.D. strongly preferred.
•7+ years of experience building and deploying machine learning systems in production, including deep hands-on experience with LLMs at scale.
•Demonstrated leadership in architecting complex AI systems, particularly agentic or multi-step LLM workflows.
•Deep expertise in transformer-based models, embeddings, retrieval systems, and Retrieval-Augmented Generation (RAG) pipelines.
•Experience designing evaluation frameworks for LLM systems beyond single-turn prompts, including robustness testing and production monitoring.

Experience:7+ yearsAIMachine learningLLMNLPEnterprise AI

Education:Bachelor's

Skills:LeadershipMentorshipCommunicationProblem-solvingTeam collaboration

Languages:English

Tech Stack:PyTorchTensorFlowHugging FaceLLMRAGRetrievalPythonDistributedCloud

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

Website LinkedIn

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Cresta

4 months ago

Staff Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Define and lead the technical vision for Cresta’s next-generation Agentic AI systems, including Agentic Assist and enterprise AI Agents.
•Architect scalable, production-grade LLM systems that integrate reasoning, retrieval, planning, tool use, and real-time decision-making into cohesive, intelligent workflows.
•Design and evolve multi-agent orchestration frameworks that combine RAG, structured knowledge, domain-adapted models, and automated actions.
•Establish best practices for building robust, reliable, and cost-efficient LLM-powered systems in high-scale production environments.
•Own evaluation strategy for complex, non-deterministic AI systems, including offline benchmarking, online experimentation, LLM-as-a-judge methodologies, and systematic failure analysis.

Pay and Benefits

Salary: USD 230,000 - 300,000 annually

Perks:Health InsuranceDentalVisionRemote WorkLearning BudgetRetirement Savings

Key Requirements

•Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s or Ph.D. strongly preferred.
•7+ years of experience building and deploying machine learning systems in production, including deep hands-on experience with LLMs at scale.
•Demonstrated leadership in architecting complex AI systems, particularly agentic or multi-step LLM workflows.
•Deep expertise in transformer-based models, embeddings, retrieval systems, and Retrieval-Augmented Generation (RAG) pipelines.
•Experience designing evaluation frameworks for LLM systems beyond single-turn prompts, including robustness testing and production monitoring.

Experience:7+ yearsAIMachine learningLLMNLPEnterprise AI

Education:Bachelor's

Skills:LeadershipMentorshipCommunicationProblem-solvingTeam collaboration

Languages:English

Tech Stack:PyTorchTensorFlowHugging FaceLLMRAGRetrievalPythonDistributedCloud

Company Brief

Cresta

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: San Francisco, United States

Founded: 2017

Website LinkedIn