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Senior Machine Learning Engineer
Senior Machine Learning EngineerLoopio • Vancouver, Metro Vancouver Regional District, CA
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Loopio • Vancouver, Metro Vancouver Regional District, CA
6 days ago
Job type
  • Full-time
Job description

Senior Machine Learning Engineer

We are seeking a highly skilled Senior Machine Learning Engineer with deep expertise in NLP, large language models, and model deployment to build and operationalize the core ML components that power Loopio’s next‑generation search, summarization, and answer generation capabilities.

Base pay range : CA$141,500 – CA$188,700 per year.

What You’ll Be Doing

Advanced Modeling & Applied Science

  • Build and productionize large language model (LLM) and NLP models across retrieval, summarization, classification, and generative tasks by developing optimized embedding pipelines, prompt strategies, and fine‑tuning methods while translating prototypes into robust production components.
  • Improve model accuracy, relevance, and robustness through structured evaluation frameworks, systematic error analysis, and iterative experimentation that ensures predictable behavior over time.

System Architecture & Engineering

  • Design and implement scalable ML services and inference pipelines in Python using modern ML frameworks, incorporating efficient serving strategies such as batching, caching, streaming, and performance‑tuned deployment patterns that meet latency and throughput requirements.
  • Integrate models with retrieval systems, feature stores, and knowledge sources while applying strong engineering discipline in automated testing, observability, logging, and operational readiness.
  • Contribute to core architectural decisions that balance modeling complexity with performance, maintainability, and long‑term extensibility.
  • Delivery, Collaboration & Leadership

  • Translate complex NLP and LLM product requirements into structured engineering plans with clear milestones while collaborating closely with Product, Engineering, and Applied Science partners.
  • Participate in technical design reviews and champion improvements in ML engineering practices, including deployment standards, model QA, code quality, and operational excellence while providing informal mentorship on modern NLP techniques.
  • Demonstrate strong ownership and attention to detail by delivering high‑quality work in a fast‑moving environment focused on reliability and meaningful outcomes.
  • What You’ll Bring to the Team

    Proven Expertise in Machine Learning, Language Models, and NLP

  • 4+ years applying ML in production with practical depth in NLP, LLM workflows, embeddings, or retrieval‑augmented systems.
  • Hands‑on and deep experience with transformer models, embedding‑based methods, and retrieval‑augmented techniques, prompt‑structured or fine‑tuned LLMs for reasoning and generation tasks.
  • Ability to turn prototypes into stable engineering solutions that perform consistently in production environments.
  • System Design, Scalability, and Software Engineering Rigor

  • Strong proficiency in Python, modern ML frameworks such as PyTorch or TensorFlow, and API or microservice development.
  • Experience building scalable and reliable ML services with attention to latency, observability, testing, deployment patterns, and runtime durability.
  • Ability to design robust agentic components including control flow, state management, and integrations with retrieval and knowledge systems.
  • Business and Product Acumen

  • Ability to frame technical decisions in terms of customer impact, product value, and measurable improvements to workflow efficiency or answer quality.
  • Strong collaboration skills with cross‑functional partners to align priorities and drive clear, grounded execution.
  • Comfort operating with ownership and urgency in a fast‑moving environment focused on delivering meaningful outcomes.
  • Where You’ll Work

  • Loopio is a remote‑first workplace. Our headquarters are in Canada, with hub regions in the United Kingdom and India. Employees live and work remotely from Canada (British Columbia and Ontario), London, and India (Gujarat, Maharashtra, Bengaluru).
  • Workstations are shared virtually. Teams collaborate across the UK, India, and North America using Zoom, Slack, and asynchronous communication.
  • Flexible co‑working locations are available for employees based in Canada. Those in Ontario can work from a downtown Toronto co‑working space; those in British Columbia can work centrally in Vancouver.
  • Benefits

  • Health and wellness benefits starting day 1.
  • Remote‑work setup : Macbook, monthly phone and internet subsidy, and work‑from‑home budget.
  • Professional development allowance and access to learning resources.
  • Culture of support, regular town‑halls, AMA sessions, quarterly celebrations, and Employee Resource Groups.
  • Opportunity to work in an award‑winning workplace with significant impact.
  • Job Details

  • Seniority Level : Mid‑Senior Level
  • Employment Type : Full‑time
  • Job Function : Engineering and Information Technology
  • Industries : Software Development
  • Equal Opportunity Employer

    Loopio is an equal‑opportunity employer committed to building equitable workplaces. We actively encourage candidates from all backgrounds. If you require accommodations during the interview process, please contact work@loopio.com.

    Recruitment and AI

    Loopio leverages AI to support repetitive and administrative tasks such as resume screening, drafting preliminary job descriptions, and generating interview questions. AI is never used for final hiring decisions; all hiring decisions are made by the team.

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    Senior Machine Learning Engineer • Vancouver, Metro Vancouver Regional District, CA

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