
About Loopio Inc.
AI-driven proposal responses for ambitious companies
Key Highlights
- Raised $208.7M in Series A funding
- Trusted by clients like DocuSign, PayPal, and American Express
- Clients report nearly $6M in business benefits over three years
- Headquartered in Chinatown, Toronto, ON
Loopio is a Toronto-based company specializing in AI-powered proposal request responses, helping organizations streamline their RFP processes. Trusted by major clients like DocuSign, PayPal, and American Express, Loopio has raised $208.7 million in Series A funding to enhance its SaaS platform and e...
🎁 Benefits
Loopio offers a generous paid time off program, employee stock options, extended parental leave, and robust health benefits. Additionally, employees b...
🌟 Culture
Loopio's culture emphasizes innovation and growth, with a strong focus on leveraging AI to enhance efficiency in proposal responses. The company promo...
Skills & Technologies
Overview
Loopio Inc. is hiring a Senior Machine Learning Engineer to build and operationalize core ML components for search, summarization, and answer generation. You'll work with NLP and large language models, focusing on model deployment and optimization.
Job Description
Who you are
You are a highly skilled Senior Machine Learning Engineer with deep expertise in NLP and large language models. With a strong background in model deployment, you have experience in building and operationalizing ML components that power advanced search and summarization capabilities. You thrive in collaborative environments, working closely with Applied Scientists, Product, and Engineering teams to translate prototypes into reliable production systems.
You have a proven track record of developing optimized embedding pipelines and fine-tuning methods for various ML tasks, including retrieval, summarization, classification, and generative tasks. Your analytical mindset allows you to improve model accuracy and robustness through structured evaluation frameworks and systematic error analysis, ensuring predictable behavior over time.
What you'll do
In this role, you will design and implement scalable ML services and inference pipelines using Python and modern ML frameworks. You will incorporate efficient serving strategies such as batching, caching, and performance-tuned deployment patterns to meet latency and reliability requirements. Your responsibilities will include integrating models with retrieval systems and feature stores while applying strong engineering discipline in automated testing.
You will also be tasked with building and productionizing LLM and NLP models, ensuring they perform consistently under production conditions. Your work will directly impact the core functionalities of Loopio's products, enhancing user experience through advanced AI capabilities.
What we offer
At Loopio, we are committed to fostering an inclusive and equitable workplace. We encourage candidates from all backgrounds to apply and offer a supportive environment for professional growth. Join us in shaping the future of AI-driven solutions in a collaborative and innovative setting.
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