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Senior Machine Learning Developer

Clera · Montreal · Remote

  • Internet & E-commerce
  • 11–50 employees
  • San Francisco

Mixed hiring record · median 4 days open

100100

Hiring signal

Actively hiring

Posted today · still listed on the employer's own board · How we score

All reasons
  • 35% of this employer's openings are over 60 days old

In its favour

  • Posted today
  • Still listed on the employer's own board
  • Publishes a salary range

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Senior Machine Learning Developer at Clera. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

About the Role

Join a product and platform team building conversational AI for phone and SMS interactions. You will take machine learning and LLM features from prototype through production, helping voice agents respond to customers, take action, and escalate when needed.

What You'll Do

  • Build conversational AI systems that understand customer needs and take appropriate actions.
  • Develop agent tooling, including memory systems, knowledge graphs, and customization frameworks.
  • Train, evaluate, and deploy models for prediction, classification, ranking, and capacity forecasting using Ray Serve and Dagster.
  • Create offline and online evaluations, simulations, and CI checks to detect regressions and measure production quality.
  • Build shared ML and LLM infrastructure, including serving, evaluation, and observability tools.
  • Contribute to design and code reviews, technical writing, and mentorship.
  • Monitor and maintain models and agents in production.

What We're Looking For

  • At least 6 years of software or machine learning engineering experience, including a track record of shipping ML or LLM systems to production.
  • Strong Python skills and software engineering fundamentals.
  • Hands-on experience training and deploying ML models, or building with LLMs using prompting, tools, agents, or retrieval.
  • Experience with evaluation frameworks, production monitoring, model serving, or related ML platform tooling.
  • Familiarity with Ray Serve, Dagster, LiveKit, Vertex AI, GCP, Kubernetes, Pulumi, or AI provider APIs.
  • Experience with real-time or streaming systems such as voice, telephony, SIP, WebRTC, or low-latency inference is valuable.
  • Comfort working autonomously, navigating ambiguity, and collaborating in a startup or high-growth environment.

Compensation & Benefits

Salary range

CAD $200,000 to $250,000 annually. Equity and visa sponsorship details were not provided.

Location

On-site in Montreal, Quebec, Canada.

Skills

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