Machine Learning Engineer Toronto Engineering Hybrid Full-time

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 skilled 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.

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📌 Machine Learning Engineer Toronto •
🏢 Hiretofu
📍 Toronto