Senior AI Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Address challenging AI problems from the initial hypothesis and algorithm design to validation, deployment, and iteration.

• Innovate new algorithms, representations, objectives, evaluation techniques, and system designs when current methods are inadequate.

• Assess, question, and expand upon existing research by applying published techniques to specific challenges and objectives.

• Create rigorous benchmarks, ablation studies, and statistical analyses to compare against leading academic and industry standards.

• Engage in training-data attribution, model influence, interpretability, embeddings, multimodal similarity, AI detection, guardrails, privacy-preserving observability, and large-scale retrieval.

• Rapidly build prototypes and transform successful methods into scalable production systems.

• Collaborate with Engineering and Product teams to convert scientific advancements and real-world issues into product functionalities.

• Enhance research and MLOps infrastructure to support experimentation, reproducibility, deployment, monitoring, and iteration.

• Fortify Sureel's technical capabilities through innovative methods, proprietary datasets, evaluation frameworks, patents, and research publications.

• Employ AI tools such as coding agents, agentic frameworks, AI-assisted debugging and research, automated testing, and emerging development workflows, ensuring critical validation of all work.

• Navigate the entire research and engineering cycle, from problem formulation and experimentation to deployment, real-world learning, and scientific enhancement.

⛳️ Requirements

• Strong scientific background in machine learning, AI, computer science, electrical engineering, mathematics, physics, or other quantitative disciplines.

• Advanced degree or equivalent depth of scientific knowledge gained through extensive research and engineering experience.

• Profound understanding of machine learning, encompassing algorithms, architectures, objectives, representations, training processes, and evaluation techniques.

• Ability to think from first principles, formulate hypotheses, and utilize experiments to validate concepts.

• Proven technical originality through research, algorithms, patents, open-source contributions, unconventional engineering solutions, or products developed without a predefined playbook.

• Highly skilled in Python and modern ML frameworks such as PyTorch.

• Familiarity with contemporary neural architectures, generative models, multimodal systems, experimental design, statistics, benchmarking, and failure analysis.

• Strong software engineering capabilities with a focus on code quality, reproducibility, performance, maintainability, collaboration, and production AI systems.

• Experience with GCP, Kubernetes, Docker, Terraform, AWS DynamoDB or another NoSQL database, Meilisearch, vector search, distributed processing, GPU infrastructure, enterprise SaaS, developer APIs or SDKs, TypeScript/React, agentic development frameworks, or large-scale audio and media systems is preferred.

🏝️ Benefits

• Base salary ranging from $110,000 to $145,000 CAD.

• Performance-based annual bonus.

• Flexible remote work arrangement.

• Opportunity to work within an independent, federated company that has been acquired by Warner Music Group.

• Chance to create original methods, proprietary datasets, evaluation frameworks, patents, and research publications.