Staff Applied Scientist

Loopio; Toronto; Remote; CAD 110,000 - 150,000; Full time

Job summary

A leading tech company in Toronto is seeking a Staff Applied Scientist to join their Library team. This role involves designing and delivering ML-driven capabilities, focusing on semantic retrieval and knowledge graphs. The ideal candidate will have extensive experience in machine learning, particularly in NLP and model deployment. This position offers a remote-first work environment with flexible collaboration opportunities.

Benefits

Health and wellness benefits

Professional mastery allowance

Work-from-home budget

Qualifications

• 6 years of experience in ML with specialization in NLP and LLMs.
• Experience in deploying large-scale models.
• Ability to mentor engineers and data scientists.

Responsibilities

• Lead research-to-production efforts in ML.
• Architect and deploy ML models.
• Manage end-to-end project plans for modeling initiatives.

Skills

NLP

Machine Learning

Knowledge Graphs

Python

Multimodal AI

Education

PhD in Computer Science or relevant field

Tools

PyTorch

TensorFlow

Job description

Take your career to new heights with Loopio!

We are looking for an accomplished Staff Applied Scientist to join the Library team within ProductOrg leading the design and delivery of ML-driven capabilities that power the heart of Loopios platform. This role is central to advancing how we retrieve content generate high-quality and personalized answers and enable intelligent agent workflows that transform customer efficiency and outcomes.

You will drive innovation across semantic retrieval retrieval-augmented generation multi-agent orchestration and knowledge graphdriven approaches to deliver answers that are accurate context-aware and measurable in impact. As a Staff-level leader you will not only solve complex technical problems but also mentor senior talent influence product direction and set best practices for applied ML across the organization.

What Youll Be Doing

• Advanced Modeling & Applied Science

• Lead research-to-production efforts in NLP LLMs retrieval-augmented generation (RAG) multi-agent reasoning and knowledge graphdriven solutions.
• Architect and deploy advanced ML models including LLM fine-tuning reasoning agents and context-aware generation pipelines.
• Explore and adapt state-of-the-art research into production-ready prototypes ensuring solutions are both innovative and practical.
• Build intelligent workflows that combine agentic planning tool orchestration and continuous feedback loops to improve automation personalization and accuracy.

• System Architecture & Engineering

• Own the scope architecture and delivery of scalable ML systems that support high-performance content retrieval and personalized answer generation.
• Design and integrate knowledge graphs embeddings and hybrid retrieval methods to improve coverage precision and context awareness.
• Build reliable services by combining strong software engineering fundamentals (Python APIs distributed systems) with modern ML frameworks.
• Ensure ML systems are production-ready balancing cutting-edge research with scalability maintainability and performance.

• Delivery Collaboration & Leadership

• Drive end-to-end project plans for modeling initiatives establish milestones and ensure high-quality timely delivery.
• Collaborate with Product Engineering and Design teams to integrate ML capabilities into user-facing workflows validate outcomes and deliver measurable customer value.
• Mentor senior engineers and data scientists building depth in applied ML NLP and AI system design.
• Represent the ML / AI function in company-wide forums shaping best practices technical direction and long-term roadmap priorities.

What Youll Bring to the Team

• Proven Expertise in Machine Learning Language Models and NLP

• 6 years of experience applying ML in production with specialization in NLP LLMs RAG agent workflows and knowledge graphs.
• Demonstrated success in fine-tuning and deploying large-scale models optimizing them for retrieval reasoning and personalized generation.
• Strong grounding in experimental design evaluation methods and advanced modeling techniques.

• Technical Leadership and Mentorship

• Ability to set vision and strategy for applied ML ensuring alignment with business and product objectives.
• Experience mentoring senior engineers and data scientists fostering technical rigor and scientific excellence.
• Skilled in influencing cross-functional priorities and representing the ML / AI domain at the company level.

• System Design Scalability and Software Engineering Rigor

• Expertise in architecting large-scale ML systems that combine retrieval knowledge graphs and agent orchestration.
• Strong fundamentals in Python ML frameworks (PyTorch TensorFlow) and distributed computing (Spark Databricks Ray).
• Proven ability to build APIs microservices and integrations that bring ML models into production with high reliability.
• Track record of balancing cutting-edge ML with pragmatic engineering practices for scale and sustainability.

• Business and Product Acumen

• Proven ability to partner with Product Engineering and Design leaders to translate technical opportunities into customer value.
• Skilled at framing ML solutions in terms of user impact ROI and strategic advantage.
• Experience shaping AI capabilities that improve answer accuracy personalization and workflow efficiency for end users.

Where Youll Work

Loopio is a remote-first workplace because we recognize the advantages of working flexibly. We are HQd 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!

Youll collaborate with your teams virtually across the UK India and North America (were 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!

Why Youll Working at Loopio

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 1 with Loopio.

Well 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.

Youll 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.

Youll be a part of an award-winning workplace with an opportunity to make a big impact on the business.

Questioning your qualifications Read this Hi there we recognize that all too often potential candidates dont apply for a position simply because they dont hit every single criteria included in the job descriptionparticularly members of underrepresented groups.

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 weve created prompts in the application for you to share more about yourself. If youve made a career transition (or a few!) youre self taught in a new role or you have skills / experience youd 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 ( ) should you require accommodations at any point during our virtual interview processes.

Required Experience :

Staff IC

Key Skills

Laboratory Experience,Bioinformatics,Biochemistry,Utility Locating,Assays,Research Experience,Next Generation Sequencing,Sensors,Signal Processing,Matlab,Research & Development,Molecular Biology

Employment Type : Full-Time

Experience : years

Vacancy : 1