Senior Machine Learning Engineer

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🔥 34 minutes ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

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Wiser Solutions, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

📣 Marketing

🛍️ eCommerce

💰 Seed Round on 2016-03

Consulting • Marketing • eCommerce

Wiser Solutions, Inc. is a company that provides comprehensive data-driven solutions for CPG brand manufacturers, eCommerce brands, marketplace sellers, and retailers. Its offerings include price optimization, product discoverability enhancement, retail execution support, and insights for growth and competitiveness in both online and in-store environments. Wiser's tools focus on leveraging pricing data, automation, and market intelligence to help businesses protect margins, maximize sales, and maintain brand consistency. The company's solutions are built on data quality and are designed to enable better commerce execution for its clients.

📋 Description

• Take customer problems from idea to working prototype quickly • Prove or discard approaches with data and move successful solutions into production • Train, fine-tune, and evaluate classical ML, embedding, and LLM models for matching, classification, and extraction • Design and ship RAG systems, embedding-based retrieval, and LLM-powered features on AWS • Own the full ML lifecycle, including experiment tracking, model versioning, deployment, monitoring, and retraining • Build evaluations using labeled golden sets, precision, recall, LLM-as-judge, shadow testing, and A/B testing • Monitor production models for drift, output quality, latency, and cost per prediction • Fix issues identified through production monitoring

🎯 Requirements

• 7+ years in ML engineering, applied data science, or AI engineering • Track record of shipping ML or AI systems to production and owning them after launch • Hands-on experience training and evaluating models, including feature engineering, experiment design, choosing metrics, handling class imbalance and noisy labels • Hands-on experience building production applications with LLMs, including RAG, embeddings, and vector databases • Working knowledge of MLOps practices and tooling, such as MLflow, SageMaker Pipelines, Weights & Biases, or similar • Experience with AWS for ML workloads, including SageMaker, Bedrock, Lambda, ECS/EKS, and S3 • Strong Python and engineering practices including version control, testing, CI/CD, and code review • Daily use of AI coding assistants such as Cursor, Claude Code, GitHub Copilot, or similar • Curiosity about new AI tools • Preferred: Experience with LLM fine-tuning • Preferred: Experience optimizing inference cost through 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 like Airflow (helpful, not required)

🏖️ Benefits

• Performance-based discretionary bonuses • Variable pay plans available for some positions • Remote work arrangement • Reasonable accommodations for applicants with disabilities

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