
Senior Manager, Machine Learning & Applied Science
Loopio
Full time
Software Development
Canada
Hiring from: Canada
Take your career to new heights with Loopio!
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
Whether or not your experience checks off all the boxes on a job posting, we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage, so we've created prompts in the application for you to share more about yourself. If you've made a career transition (or a few!), you’re self taught in a new role, or you have skills/experience you’d like to highlight, we want to hear more about what you could bring to the table.
AI in Recruitment At Loopio, we leverage artificial intelligence (AI) technology to enhance our recruitment process. These tools assist with tasks such as resume screening, drafting preliminary job descriptions, generating initial interview questions, and occasionally sourcing prospective candidates. However, AI is never used to make final hiring decisions; our use of AI serves to support repetitive and administrative tasks in order to streamline our hiring and recruitment workflows. We are committed to the responsible use of AI in our hiring practices, prioritizing both an improved candidate experience and operational efficiency. Our standardized hiring practices remain focused on reducing biases, with all key hiring decisions solely made by our team. We continuously review and refine our hiring practices to align with industry best practices and evolving legal guidelines
Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. Please contact a member of our Talent Experience team ([email protected]) should you require accommodations at any point during our virtual interview processes.
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.
- 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.
- 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, and 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).
- We offer flexible co-working locations available to Loopers in ON and BC. Those based in ON have the option of working out of our convenient co-working space located in the heart of Downtown Toronto and a 12-minute walk from Union Station. BC Loopers have the option to work centrally in Vancouver. It is whatever works best for you!
- You’ll collaborate with your teams virtually across the UK, India, and North America (we’re just a Zoom call and Slack message away!) with core sync hours and focus time for headsdown work during the workday
- We encourage asynchronous collaboration to effectively work as a global #OneTeam!
- Your manager supports your development by providing ongoing feedback and regular 1-on-1s, we leverage Lattice for our 1:1s and performance conversations
- You will have the opportunity to elevate your craft and the opportunity to explore your creativity, with a dedicated professional mastery allowance for more learning support! We encourage experimentation and innovative thinking to drive business impact.
- We offer a wide range of health and wellness benefits to support your physical and mental well-being, starting day with Loopio.
- We’ll set you up to work remotely with a MacBook laptop , a monthly phone and internet subsidy, and a work-from-home budget to help get your home office all set up.
- You’ll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment.
- Participate in townhalls, AMA (Ask-Me-Anything), and quarterly celebrations to celebrate the big wins and milestones as #oneteam!
- Our four active Employee Resource Groups offer opportunities for employees to learn and connect year-round.
- You’ll be a part of an award-winning workplace with an opportunity to make a big impact on the business.
Whether or not your experience checks off all the boxes on a job posting, we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage, so we've created prompts in the application for you to share more about yourself. If you've made a career transition (or a few!), you’re self taught in a new role, or you have skills/experience you’d like to highlight, we want to hear more about what you could bring to the table.
AI in Recruitment At Loopio, we leverage artificial intelligence (AI) technology to enhance our recruitment process. These tools assist with tasks such as resume screening, drafting preliminary job descriptions, generating initial interview questions, and occasionally sourcing prospective candidates. However, AI is never used to make final hiring decisions; our use of AI serves to support repetitive and administrative tasks in order to streamline our hiring and recruitment workflows. We are committed to the responsible use of AI in our hiring practices, prioritizing both an improved candidate experience and operational efficiency. Our standardized hiring practices remain focused on reducing biases, with all key hiring decisions solely made by our team. We continuously review and refine our hiring practices to align with industry best practices and evolving legal guidelines
Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. Please contact a member of our Talent Experience team ([email protected]) should you require accommodations at any point during our virtual interview processes.
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