Senior ML Engineer

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.  

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.

What will you be doing?

• 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

  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

• Industry leader in Voice AI for customer service since 2017 — powering enterprise customers like AAA and Fanatics where 50%+ of callers get fully resolved by the bot with higher satisfaction scores than human agents.
• $113M raised from top-tier investors including Stripes, Salesforce Ventures and Norwest — Series B closed in 2022 at $78M with strong backing from day one.
• Work on genuinely cutting-edge AI problems — low latency inference, hallucination reduction, prompt injection guardrails and dynamic conversation design at the frontier of what's possible with LLMs today.
• Small team means real ownership and real impact — every improvement you ship moves the needle for enterprise customers in high-stakes scenarios (think: someone stranded on the road calling AAA).
• Remote-first with strong perks — flexible vacation, paid sabbatical after 5 years, comprehensive health benefits, wellness stipend and a tech/learning stipend for conferences, books and courses. Competitive salary ($180K–$230K) plus meaningful equity.