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Founding Machine Learning Engineer

Tofu
Toronto, CAN
Full-time
Senior Level
Hybrid
CAD 175000-225000 yearly
Discovered 3 weeks ago
Free

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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.
  • Productize 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.

Who You Are

  • A bias toward shipping — comfortable balancing research rigour 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 behaviour 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.

Preferred Experience

  • Experience with deepfake detection, biometrics, or generative model forensics.
  • Experience with vector databases, embeddings, and large-scale retrieval (Elasticsearch, FAISS, pgvector).
  • 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 This Role Is Exciting

  • You'll help build the trust layer for the internet — one of the defining problems of the AI era.
  • You'll join a team on a mission to build a generational company.
  • Early engineers have real ownership, real impact, and unlimited growth.
  • You want your work to shape the future - you will be architecting the security layer for an exploding, underserved problem and get excited knowing thousands of companies will rely on your work.
  • You want to have a massive impact and accelerate your career.

Benefits And Perks

  • Competitive salary + meaningful equity.
  • Comprehensive health benefits.
  • 3 weeks of vacation.
  • Whatever tech and gear you want to do your best work.
  • Fully comp'd meals when in the office.
  • Tofu swag your friends will want to steal.

Work Location

  • This role is based in either our Toronto or Montreal office.

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