Loopio Inc. is looking for a Senior Machine Learning Engineer to build and operationalize the core ML components powering next-generation search, summarization, and answer generation. You will translate advanced NLP and LLM prototypes into reliable, scalable production systems while working closely with Applied Scientists, Product, and Engineering teams.
What You'll Do
- Build and productionize LLM and NLP models across retrieval, summarization, classification, and generative tasks by developing optimized embedding pipelines, prompt strategies, and fine-tuning methods.
- Translate experimental prototypes into robust components that consistently perform under production conditions.
- Improve model accuracy, relevance, and robustness through structured evaluation frameworks, systematic error analysis, and iterative experimentation.
- Design and implement scalable ML services and inference pipelines in Python using modern ML frameworks, incorporating efficient serving strategies like batching, caching, and streaming.
- Integrate models with retrieval systems, feature stores, and knowledge sources while applying strong engineering discipline in automated testing, observability, logging, and operational readiness.
- Contribute to core architectural decisions that balance modeling complexity with performance, maintainability, and long-term extensibility.
- Translate complex NLP and LLM product requirements into structured engineering plans with clear milestones.
- Collaborate closely with Product, Engineering, and Applied Science partners to align expectations, remove constraints, and deliver measurable customer impact.
- Participate in technical design reviews and champion improvements in ML engineering practices including deployment standards, model QA, code quality, and operational excellence.
- Provide informal mentorship on modern NLP techniques and scalable model serving.
- Demonstrate strong ownership and attention to detail by driving high-quality delivery focused on reliability, clarity, and meaningful outcomes.
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, prompt structured or fine tuned LLMs, for reasoning and generation tasks.
- Ability to turn prototypes into stable engineering solutions that perform consistently in production environments.
- 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, deployment patterns, and runtime durability.
- Ability to design robust agentic components including control flow, state management, and integrations with retrieval and knowledge systems.
- Ability to frame technical decisions in terms of customer impact, product value, and measurable improvements to workflow efficiency or answer quality.
- Strong collaboration skills with cross functional partners to align priorities and drive clear, grounded execution.
- Comfort operating with ownership and urgency in a fast moving environment focused on delivering meaningful outcomes.
Technical Stack
- Python
- PyTorch
- TensorFlow
Team & Environment
Work closely with Applied Scientists, Product, and Engineering teams.
Benefits & Compensation
- Dedicated professional mastery allowance for learning support.
- Wide range of health and wellness benefits starting day 1.
- Monthly phone and internet subsidy.
- Work-from-home budget to help set up home office.
- MacBook laptop provided.
- Flexible co-working locations available in Toronto and Vancouver.
- Opportunities for connection in a remote-first environment including townhalls, AMAs, and quarterly celebrations.
- Active Employee Resource Groups.
Work Mode
This role is open to candidates in Canada (British Columbia and Ontario), United Kingdom (London), and India (Gujarat, Maharashtra, Bengaluru).
Loopio Inc. is an equal opportunity employer.
