Senior Manager, Machine Learning & Applied Science

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Software, Artificial IntelligenceIndustries

Requirements

Candidates should have 5+ years of experience in applied machine learning, with a focus on NLP, large language models, transformers, retrieval-based methods, and multi-agent systems. A minimum of 2 years of experience leading applied ML teams is required, along with strong Python programming skills and deep experience with frameworks like PyTorch and TensorFlow. Proven ability to work closely with Product, Design, and Engineering teams is also essential.

Responsibilities

The Senior Manager will lead the design, development, and delivery of advanced NLP, LLM, and agent-based systems, owning the scope, architecture, and delivery of ML models and systems. They will actively review research papers, adapt promising techniques into prototypes, and implement/optimize LLMs for reasoning, planning, and decision-making. The role involves building and deploying intelligent agent workflows, leading, mentoring, and developing a high-performing applied science team, and driving project plans for modeling initiatives while ensuring timely delivery of high-quality, high-impact ML systems.

Skills

Machine Learning

NLP

LLM

Applied Science

System Design

Prototyping

RAG

Multi-agent orchestration

Intelligent agent workflows

Copilots

Tool orchestration

Continuous feedback loops

People Leadership

Mentoring

Loopio

RFP response software for enterprises

About Loopio

Loopio specializes in simplifying the process of responding to Requests for Proposals (RFPs), Requests for Information (RFIs), Due Diligence Questionnaires (DDQs), and Security Questionnaires. Its main product is RFP response software that helps businesses manage and automate the intricate task of creating high-quality responses. The software features a smart content management system that organizes a company's knowledge base, making it easy for teams to collaborate, assign tasks, and review projects efficiently. Loopio operates on a subscription-based model, allowing clients to access its software and tools for a recurring fee. This model helps clients save time and improve the quality of their responses, enabling them to win more business. Loopio stands out from competitors by focusing on enhancing collaboration and efficiency for medium to large enterprises across various industries, including technology, healthcare, and finance.

Toronto, CanadaHeadquarters

2014Year Founded

$203MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Data & Analytics, Consulting, Enterprise SoftwareIndustries

201-500Employees

Benefits

Remote Work Options

Hybrid Work Options

Phone/Internet Stipend

Professional Development Budget

Risks

Increased competition from established players like SAP threatens Loopio's market share.

Potential over-reliance on CRM integrations poses risks if policies change.

Recent layoffs may indicate internal financial or strategic challenges.

Differentiation

Loopio integrates seamlessly with CRM systems like Salesforce and HubSpot.

The Response Management Loop Framework offers a holistic approach to proposal management.

Loopio's smart content management system centralizes and organizes knowledge efficiently.

Upsides

Growing demand for AI-driven content management boosts Loopio's market potential.

Integration with CRM systems streamlines sales and proposal workflows.

Expansion into new markets enhances Loopio's global presence and capabilities.

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