Senior Machine Learning Engineer, Loopio
More information about location
AI-powered proposal request responses
Job no longer available
AI-powered proposal request responses
201-500 employees
Job no longer available
More information about location
201-500 employees
Company mission
To help ambitious companies and people grow.
Role
Who you are
- ML & NLP Expertise: 4+ years of experience in ML engineering, with strong expertise in NLP, LLMs, transformers, and RAG. Proven ability to fine-tune, optimize, and deploy large-scale NLP models
- MLOps & Cloud Engineering: Hands-on experience with ML pipeline automation, monitoring, and deployment using cloud services. Strong background in data engineering for scalable AI systems, including structured (MySQL, PostgreSQL) and NoSQL (Redis, Cassandra) databases
- Scalable Systems & Distributed Computing: Experience with performance optimization techniques for ML inference, distributed computing (Spark, Presto, Databricks), and real-time/batch processing pipelines
- Software Development & Microservices: Strong Python development skills, experience with API-driven architectures (REST, gRPC), and ability to build robust, maintainable ML services
- Agent Workflow Optimization: Experience designing intelligent agent workflows and copilots powered by LLMs, including context-aware recommendations, task automation, and feedback-driven improvement loops. Proven ability to integrate ML solutions into agent-facing systems, enhancing efficiency and decision-making in real time
- Collaborative Problem Solving: Ability to work cross-functionally with product, engineering, and design teams effectively to translate business needs into AI solutions. Skilled at fostering alignment, sharing knowledge, and co-creating strategies that drive measurable impact
What the job involves
- We’re seeking an experienced Senior Machine Learning Engineer to build and scale ML-powered features that help customers improve proposal quality, boost win rates, and increase team productivity
- . In this role, you’ll drive enhancements to dashboard usability, deliver tailored recommendations, and optimize workflows through actionable analytics—showcasing Loopio’s ROI to executive stakeholders
- You’ll work across our platform portfolio, applying NLP and GenAI to power intelligent solutions that support users as they build their content library, review and import documents, search for answers, and collaborate on proposals
- This is a unique opportunity to join a growing, creative, and mission-driven team solving real-world problems with modern AI practices
- You’ll collaborate closely with Product Managers, Engineers, Architects, and Data Scientists to deliver ML solutions that elevate the value our users experience across the platform
- What You’ll Be Doing
- End-to-End ML & NLP Deployment: Design, build, and optimize scalable ML systems for NLP applications, including fine-tuning large language models (LLMs), deploying transformer-based architectures, and optimizing inference for real-time and batch workloads. Architect distributed ML solutions for large-scale data processing and efficient retrieval-augmented generation (RAG)
- MLOps & Cloud Infrastructure: Implement best practices for ML lifecycle management, including model versioning, monitoring, and automation. Build robust CI/CD pipelines, integrate with feature stores and vector databases, and deploy models on cloud platforms (preferably AWS)
- Software Engineering & Microservices: Develop high-performance ML systems using Python, deep learning frameworks (TensorFlow, PyTorch), and distributed computing frameworks (Spark). Build scalable microservices and APIs for real-time model serving using containerized (Docker, Kubernetes) and serverless (AWS Lambda, Kinesis) architectures. Strong Object Oriented Programming fundamentals to build modular and reusable code
- Agent Workflow Intelligence: Design and deploy ML-powered systems to enhance agent workflows through intelligent task orchestration, context-aware assistance, and real-time response optimization. Leverage LLMs to build agent copilots that integrate with CRM and ticketing platforms, delivering in-the-moment suggestions, summarizations, and action recommendations. Instrument workflows to capture agent behavior signals and feedback loops, enabling continuous learning and adaptive automation that improves efficiency, accuracy, and customer satisfaction
- Cross-Functional Collaboration: Work closely with Data Scientists, Engineers, and Product teams to productionize NLP models, ensuring alignment with business needs and maintaining robust, scalable AI-driven solutions
Our take
Loopio provides RFP response software to companies in a variety of industries including healthcare, financial services and telecommunications. Its platform streamlines responses to proposal requests, requests for information and due diligence questionnaires, helping firms to improve sales efficiency and unlock growth opportunities.
The company boasts an impressive client list including DocuSign, PayPal and American Express. Loopio expects its client base to continue growing, bolstered by a 2023 independent study that shows that clients of the company can experience a three-year return on investment alongside almost $6 million in business benefits.
Loopio has used funding to accelerate product development and customer acquisition, as well as expand its team. It has also partnered with Door, a digital due diligence platform for asset management and research teams. This partnership exemplifies a mature caution in Loopio's expansion aims, helping them to keep in control of their growing business.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
9% employee growth in 12 months
Company
Funding (2 rounds)
Apr 2021
$200m
GROWTH EQUITY VC
Feb 2018
$8.7m
SERIES A
Total funding: $208.7m
Company benefits
- Robust Health Benefits
- Extended Parental Leave
- Employee Stock Options
- Professional Mastery Budget
- Weekly Loopio Socials
- Annual Company Retreat
- Generous Paid Time Off Program
- Team Wellness Activities
Company HQ
Chinatown, Toronto, ON
Leadership
Zak Hemraj
(Co-Founder & CEO)Progressed from Software Developer to Manager and Team Lead at Achievers within 8 years.
Matt York
(Co-Founder & CTO)Experience as Software Engineering Manager at Achievers, and Vice President of Engineering at Top Hat.
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