Senior Manager, Machine Learning & Applied Science

Loopio; Canada; Remote; CAD 120,000 - 160,000; Full time

Benefits offered by this job

Health and wellness benefits

Professional mastery allowance

Remote work support budget

Employee Resource Groups

Job summary

A leading technology company is seeking a Senior Manager of Machine Learning & Applied Science to lead advanced NLP and AI capabilities. The role involves hands-on applied science, technical leadership, and collaboration with cross-functional teams. Ideal candidates have 5+ years in applied ML, strong programming skills, and experience leading high-performance teams. Flexible remote work options and various perks are offered.

Qualifications

• 5+ years of experience in applied ML with focus on NLP and LLM.
• Strong Python skills and hands-on experience with ML frameworks.
• 2+ years in a leadership role for applied ML teams.

Responsibilities

• Own the scope, architecture, and delivery of ML models.
• Lead, mentor, and develop a high-performing applied science team.
• Work closely with Product, Design, and Engineering to integrate models.

Skills

NLP

Large Language Models

Transformers

Retrieval-based methods

Multi-agent systems

Python programming

PyTorch

TensorFlow

Job description

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.

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.
• 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:

• 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.
• 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.

Loopio is a remote-first workplace, with employees working from various locations, including Canada, London, and India.

We offer flexible co-working locations, a monthly phone and internet subsidy, and a work-from-home budget to support your remote work setup.

Perks and Benefits

• A wide range of health and wellness benefits to support your physical and mental well-being.
• A dedicated professional mastery allowance for learning and development.
• Opportunities for connections in a remote-first environment, including townhalls, AMA (Ask-Me-Anything), and quarterly celebrations.
• Four active Employee Resource Groups offering opportunities for employees to learn and connect year-round.

Loopio is an equal opportunity employer, committed to building equitable workplaces that are diverse and inclusive.

Please contact a member of our Talent Experience team ([e-mail]) should you require accommodations at any point during our virtual interview processes.