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Remote 180K Jobs in Whitby, ON (NOW HIRING)

Career Renew

Senior ML Engineer

Toronto, ON · Remote

CA$78/day

... this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus ... Competitive salary ($180K-$230K) plus meaningful equity.

Career Renew

Senior ML Engineer

Toronto, ON · Remote

CA$78/day

... this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus ... Competitive salary ($180K-$230K) plus meaningful equity.

All Jobs180K JobsRemote 180K JobsRemote 180K Jobs in Whitby, ON

Remote 180K information

What is the difference between Remote 180K vs Data Scientist?

AspectRemote 180KData Scientist
Typical CredentialsBachelor's/Master's in CS, Analytics, or related fieldsBachelor's/Master's in CS, Statistics, or related fields
Work EnvironmentRemote, flexible hours, tech companies, startupsRemote or on-site, tech and finance industries, collaborative teams
Employer UsageSalary benchmark for high-paying remote rolesRole focus on data analysis, modeling, and insights

Remote 180K typically refers to high-paying remote tech roles with salaries around $180,000, often in software engineering or product management. Data Scientists also earn high salaries and work in similar environments, but their focus is on data analysis, modeling, and deriving insights. While both roles may be remote and require similar credentials, Remote 180K is a salary benchmark, whereas Data Scientist specifies a job function within data analysis teams.

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Senior ML Engineer

Career Renew

Toronto, ON • Remote

CA$78/day

Full-time

Medical, PTO

Re-posted 25 days ago

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.
 

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.