Senior Manager, Machine Learning & Applied Science

About Loopio

Take your career to new heights with Loopio! 🚀✨

Role Overview

We’re seeking a highly skilled and hands-on Senior Manager of Machine Learning & Applied Science to lead the design, development, and delivery of advanced NLP, LLM, and agent-based systems that power our AI capabilities. This is a deeply technical leadership role for someone who actively engages with the latest research, prototypes innovative approaches, and translates them into production-grade solutions that deliver measurable customer impact.

You will manage and mentor a team of Machine Learning Engineers and Applied Scientists, set the technical direction for modeling efforts, and ensure projects are executed with speed, accountability, and scientific rigor. The role demands both high-calibre technical leadership and direct contribution to complex modeling and system design.

What You’ll Be Doing

Lead Modeling and System Development

• Own the scope, architecture, and delivery of ML models and systems across NLP, large language models (LLM), retrieval-augmented generation (RAG), and multi-agent orchestration.
• Ensure initiatives are technically sound, feasible, and aligned with product objectives.

Hands-On Applied Science and Engineering

• Actively review research papers, identify promising techniques, and adapt them into working prototypes.
• Implement and optimize LLMs for reasoning, planning, and decision-making.
• Build and deploy intelligent agent workflows, including context-aware copilots, tool orchestration, and continuous feedback loops to improve automation and accuracy.

People Leadership

• Lead, mentor, and develop a high-performing applied science team, fostering a culture of ownership, accountability, and urgency.
• Provide regular feedback, support career growth, and set a high technical bar.

Delivery and Collaboration

• Drive project plans for modeling initiatives, monitor progress, and hold the team accountable for delivering high-quality, high-impact ML systems on time.
• Work closely with Product, Design, and Engineering teams to integrate models effectively, validate performance, and deliver measurable customer value.

What You’ll Bring to the Team

Applied Machine Learning Expertise

• 5+ years of experience in applied ML, with a focus on NLP, large language models, transformers, retrieval-based methods, and multi-agent systems.
• Adept at evaluating academic research and translating promising ideas into scalable, production-ready solutions that deliver measurable impact.

Technical Execution and Engineering Rigor

• Strong Python programming skills and deep experience with frameworks like PyTorch and TensorFlow.
• Skilled in designing ML architectures, prototyping solutions, and deploying models via APIs or services.
• Brings a pragmatic, systems-oriented mindset to solving complex technical problems.

People Leadership

• 2+ years leading applied ML teams, with a track record of building high-performance, high-ownership environments.
• Known for setting clear expectations, mentoring team members, and fostering a culture of continuous learning, technical excellence, and results-oriented delivery.

Cross-Functional Collaboration

• Proven ability to work closely with Product, Design, and Engineering teams to align ML efforts with broader business goals.
• Comfortable navigating ambiguity, making trade-offs, and driving progress through clear communication and shared accountability.

Where You’ll Work

Loopio is a remote-first workplace because we recognize the advantages of working flexibly. We are HQ’d in Canada, with established hub regions around the world where we hire from.

Our employees (or Loopers, as we call ourselves!) live and work in:

• Canada (British Columbia and Ontario)
• London
• India (specifically in Gujarat, Maharashtra, and Bengaluru)

The majority of our team is based in ON and BC, which means these employees live and work remotely within a 300km radius of Toronto (within Ontario) and Vancouver (Within BC).