Machine Learning Engineer at tofu in Toronto, Ontario, CA

About the Role

We're hiring a Machine Learning Engineer to join our core ML team in Toronto. You'll design, train, and deploy the models that power Tofu's fraud detection, deepfake analysis, and identity verification systems — directly shaping the accuracy and reliability of the product at scale.

What You'll Do

• Design, train, and ship ML models for fraud detection, synthetic identity classification, and deepfake (audio, image, video) detection.
• Build and maintain robust evaluation pipelines, including labeled datasets, benchmarks, and continuous monitoring for model drift.
• Productionize models in collaboration with backend engineers — owning latency, throughput, and reliability requirements end-to-end.
• Research and prototype novel approaches to adversarial fraud, including multi-modal signal fusion and active-learning loops.
• Partner with product and threat intelligence to translate emerging fraud patterns into trainable signals.

What You'll Bring

• A bias toward shipping — comfortable balancing research rigor with pragmatic delivery in a fast-paced environment.
• Strong analytical and problem-solving skills, with deep curiosity about adversarial systems.
• Excellent communication and the ability to explain trade-offs and model behavior to non-ML stakeholders.
• A collaborative mindset and willingness to mentor more junior engineers and researchers.
• Strong technical documentation skills.

Required Experience

• Bachelor's degree in Computer Science, Machine Learning, Statistics, or a related field (Master's or PhD a plus).
• 5+ years of professional experience building and deploying ML systems in production.
• Expert proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, JAX).
• Hands-on experience with at least one of: computer vision, audio/speech models, NLP, or anomaly detection.
• Experience deploying models on cloud platforms (AWS, GCP, or Azure) using Docker and Kubernetes.
• Strong SQL and data wrangling skills.
• Experience with vector databases, embeddings, and large-scale retrieval (Elasticsearch, FAISS, pgvector).

Preferred Experience

• Experience with deepfake detection, biometrics, or generative model forensics.
• Experience with MLOps tooling (MLflow, Weights & Biases, Kubeflow, SageMaker).
• Experience in fraud, trust & safety, or security-adjacent domains.
• Familiarity with adversarial ML and red-teaming techniques.

Why Tofu and this Role

• You'll help build the trust layer for the internet — one of the defining problems of the AI era.
• You'll join a team obsessed with building a generational company.
• Early engineers have real ownership, real impact, and unlimited growth.

Benefits & Perks

• Competitive salary + meaningful equity.
• Comprehensive health benefits.
• 3 weeks of vacation.
• New laptop and gear to do your best work.
• Tofu swag your friends will want to steal.