Loopio Inc. is seeking a Senior Machine Learning Engineer to build and operationalize the core ML components powering our next-generation search, summarization, and answer generation capabilities. You will be responsible for translating advanced models from prototype to reliable, scalable production systems.
What You'll Do
- Build and productionize LLM and NLP models across retrieval, summarization, classification, and generative tasks.
- Develop optimized embedding pipelines, prompt strategies, and fine-tuning methods.
- Translate experimental prototypes into robust components that perform under production conditions.
- Improve model accuracy, relevance, and robustness through structured evaluation frameworks and error analysis.
- Design and implement scalable ML services and inference pipelines in Python using modern ML frameworks.
- Incorporate efficient serving strategies such as batching, caching, streaming, and performance-tuned deployment patterns.
- Integrate models with retrieval systems, feature stores, and knowledge sources.
- Apply engineering discipline in automated testing, observability, logging, and operational readiness.
- Contribute to core architectural decisions balancing modeling complexity with performance and maintainability.
- Translate complex NLP and LLM product requirements into structured engineering plans.
- Collaborate closely with Product, Engineering, and Applied Science partners to deliver customer impact.
- Participate in technical design reviews and champion improvements in ML engineering practices.
- Provide informal mentorship on modern NLP techniques and scalable model serving.
What We're Looking For
- 4+ years applying ML in production with practical depth in NLP, LLM workflows, embeddings, or retrieval augmented systems.
- Hands-on and deep experience with transformer models, embedding-based methods, and retrieval augmented techniques.
- Ability to turn prototypes into stable engineering solutions that perform consistently in production.
- Strong proficiency in Python, modern ML frameworks such as PyTorch or TensorFlow, and API or microservice development.
- Experience building scalable and reliable ML services with attention to latency, observability, testing, and deployment patterns.
- Ability to design robust agentic components, including control flow, state management, and integrations.
- Ability to frame technical decisions in terms of customer impact, product value, and measurable improvements.
- Strong collaboration skills with cross-functional partners.
- Comfort operating with ownership and urgency in a fast-moving environment.
Technical Stack
- Python
- PyTorch
- TensorFlow
- LLMs
- NLP
Team & Environment
You will work closely with Applied Scientists, Product, and Engineering partners.
Benefits & Compensation
- Dedicated professional mastery allowance for learning support.
- Wide range of health and wellness benefits starting day 1.
- Remote work setup with MacBook laptop, monthly phone and internet subsidy, and work-from-home budget.
- Opportunities for connection in a remote-first environment (townhalls, AMAs, quarterly celebrations).
- Access to four active Employee Resource Groups.
Work Mode
This is a global position open to candidates in Canada (British Columbia, Ontario), the United Kingdom (London), and India (Gujarat, Maharashtra, Bengaluru).
Loopio Inc. fosters a supportive and award-winning workplace culture that encourages experimentation and innovative thinking. We are an equal opportunity employer.
