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# Machine Learning Engineer

- **Company:** LLMS, LLC
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $180,000.0 - $240,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Performance Tuning, Large Language Models, Generative AI, Low Latency, Machine Learning Operations, Natural Language Understanding
- **Published:** September 23, 2026
- **Apply:** https://www.thejobnetwork.com/job/28640daa-b73e-4630-a152-f97d51380c89/senior-ml-engineer

## About the Role

We are looking for a Senior Machine Learning Engineer with 5+ years of experience to join our small but mighty ML team building production-grade AI voice agents used by enterprise customers like AAA and Fanatics. You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ship LLM-powered systems that handle real, high-stakes conversations at scale - not just run experiments., Requirements: 5 - 10 years of experience in applied ML engineering, building production systems in Python with LLMs or NLP (Mandatory) Experience building production systems in Python (Mandatory) Familiarity with low-latency production ML systems (Mandatory) Experience working at a high-growth startup (Mandatory) Background in NLU, NLP, or conversational AI (Nice-to-have) BS/MS/PhD in CS, ML, Mathematics, or closely related field with ML coursework (Mandatory) Why you should join

## Description

Job Description Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity. Since 2017, we've been on a mission to use AI to resolve as many conversations as possible while elevating human agents to do what they are uniquely good at., * Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields

 * Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences
 * Help set the team's strategic direction, cultivating an environment that encourages innovation and professional growth
 * Actively engaging in all aspects of development, from ideation and experimentation to implementation and deployment
 * Collaborating with various teams and product managers to develop and implement ML based solutions, ensuring performance optimization and alignment with broader business goals


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- [Creating Industry ready solutions with LLM Models](https://www.wearedevelopers.com/videos/899-creating-industry-ready-solutions-with-llm-models)

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