The Machine Learning Engineer Intern will contribute to the development of ALEBEX's production Voice AI systems, working across machine learning model training, post-training, evaluation, and real-time inference. This role offers hands‑on experience with speech models, large language models, GPU-based inference, low‑latency systems, and real‑time voice pipelines. Working closely with the engineering team, the successful candidate will help fine‑tune, evaluate, optimize, and deploy machine learning models used in production voice agents.

This position is ideal for a student or recent graduate with strong Python and machine learning fundamentals who is interested in applied AI and wants practical experience taking models from training and experimentation into production environments.

Groundbreaking

Projects – Work on AI, robotics, and industry-disrupting software.

Career

Growth – Opportunities to lead projects and shape the future of our AI-augmented development strategy. Facilities – Brand new campus and office space that emphasizes a culture of environmentally friendly practices.

Alexander Innovation

Centre is a Vancouver-based innovation hub supporting the development and commercialization of emerging technologies and fostering collaboration between industry, education, and entrepreneurs. Located in downtown Vancouver, the Centre provides a cooperative environment for technology development, applied innovation, and hands‑on learning opportunities. This position is based at the Alexander Innovation Centre, where the successful candidate will work closely with the ALEBEX AI team on the development of production AI technologies.

ALEBEX AI is a Canadian-owned AI company based in Vancouver, BC, focused on developing an agentic workforce platform where AI agents perform real operational work — including answering calls, qualifying leads, and executing multi‑step tasks — under human supervision.



The platform enables AI agents to operate across voice and digital channels, combining real‑time communication, proprietary voice technology, AI models, integrations, and orchestration to execute real business workflows. It operates on Canadian infrastructure, including on‑premises AI inference, and is currently used in production by real clients.

ALEBEX is a small, fast-moving team focused on developing practical AI solutions for real‑world business applications. Its technology is built for production use, with active customers and operational workflows rather than demonstrations or experimental prototypes. The successful candidate will work with the ALEBEX AI team on the development, evaluation, and optimization of machine learning models powering its Voice AI platform as part of this internship.

Co‑op / Internship 4- or 8‑Month Contract 30 per hour Monday – Friday; Full‑time preferred. Currently enrolled in a co‑op-eligible program in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering, or a related STEM field. LoRA, QLoRA, PEFT, or related post‑training techniques.

Online or real‑time model serving. Comfortable working in a Linux environment.

Experience with Voice AI, ASR, TTS, VAD, turn detection, or speech‑language models.

Experience with Docker and cloud GPU environments such as AWS.

Experience evaluating latency‑sensitive machine learning systems. Fine‑tune LLMs and speech models using SFT, LoRA, QLoRA, PEFT, and related post‑training techniques. Experiment with training strategies,



model configurations, and datasets.

Support the development and improvement of models for Voice AI applications. Voice AI & Speech Models Build and improve models for ASR, turn detection, interruption handling, intent understanding, and other Voice AI tasks. Work with speech, language, and speech‑language models used within real‑time voice agents.

Help evaluate model behaviour across different voice and conversational scenarios. Data & Evaluation Prepare, clean, organize, and validate datasets used for model training and evaluation. Build and maintain evaluation pipelines for machine learning models.

Deploy machine learning models for online and real‑time inference. Experiment with batching, caching, quantization, and other inference optimization techniques. ML Infrastructure & Integration Help integrate machine learning models into ALEBEX's real‑time Voice AI infrastructure.

Support model serving, deployment, monitoring, and performance testing. Experiment with model architectures, training approaches, and inference optimizations. Investigate technical problems and contribute practical solutions.

Document experiments, findings, benchmarks, and implementation decisions. Help develop machine learning systems that operate under real‑world production constraints Covered materials may include: Client information, configurations, and business data AI agent conversations, workflows, and performance data Proprietary software, source code, infrastructure, and architecture Internal product strategy and development materials Customer integrations and technical documentation All confidential information must be handled in accordance with applicable Canadian privacy legislation, Alexander Innovation Centre policies, and ALEBEX's internal data governance and security requirements. however, Canadians and permanent residents will be given priority.

📌 Machine Learning Engineer Intern - Voice AI (Vancouver)
🏢 Alexander College
📍 Vancouver