Senior Machine Learning Engineer

This is a fully remote position, open to applicants in Canada, +1 more country.

📋 Description

• Rapidly transform customer challenges from concept to functional prototype.

• Validate or dismiss methodologies using data and transition effective solutions into production.

• Train, refine, and assess classical ML, embedding, and LLM models for tasks such as matching, classification, and extraction.

• Design and implement RAG systems, embedding-based retrieval, and LLM-driven features on AWS.

• Manage the entire ML lifecycle, encompassing experiment tracking, model versioning, deployment, monitoring, and retraining.

• Create evaluations utilizing labeled gold standards, precision, recall, LLM-as-judge, shadow testing, and A/B testing.

• Oversee production models for drift, output quality, latency, and prediction cost.

• Resolve issues identified through monitoring of production systems.

⛳️ Requirements

• Over 7 years of experience in ML engineering, applied data science, or AI engineering.

• Proven history of delivering ML or AI systems to production and maintaining them post-launch.

• Practical experience in training and evaluating models, including feature engineering, experiment design, metric selection, and addressing class imbalance and noisy labels.

• Direct experience building production applications with LLMs, specifically RAG, embeddings, and vector databases.

• Familiarity with MLOps practices and tools, such as MLflow, SageMaker Pipelines, Weights & Biases, or comparable technologies.

• Experience with AWS for ML workloads, including SageMaker, Bedrock, Lambda, ECS/EKS, and S3.

• Proficient in Python and best engineering practices, including version control, testing, CI/CD, and code reviews.

• Regular use of AI coding assistants like Cursor, Claude Code, GitHub Copilot, or similar.

• A strong curiosity about emerging AI tools.

• Preferred: Experience with fine-tuning LLMs.

• Preferred: Experience in optimizing inference costs through methods like distillation, quantization, caching, or tiered model routing.

• Preferred: Background in retail, e-commerce, or product data.

• Preferred: Experience with entity resolution or similarity search at scale.

• Preferred: Comfort with data pipelines and orchestration tools such as Airflow (helpful, not mandatory).

🏝️ Benefits

• Discretionary bonuses based on performance.

• Variable pay plans available for select positions.

• Option for remote work.

• Reasonable accommodations provided for applicants with disabilities.