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Aviva Canada Inc: Leading insurer for home, auto, lifestyle and Business / Assurance automobile, habitation, mode de vie et entreprise
2+ YOECandidates need a bachelor's degree in a related field and 2 to 4 years of machine learning engineering experience. They should know Python, SQL, AWS or Snowflake, Linux, Docker and Jenkins.
Python, Pandas, NumPy, scikit-learn, XGBoost, AWS
Helm.ai
5+ YOECandidates need strong Python skills and the ability to thrive in a fast-paced setting. They must explain complex technical ideas clearly and bring careful, detail-oriented work. A Master's or PhD and computer vision or deep learning experience are assets.
Python
CSC Generation: CSC Generation is the AI-native holding company re-engineering omni-channel retail.
Candidates need strong machine learning and statistical modeling skills, plus experience in several of causal inference, bandits, uncertainty estimation, counterfactual evaluation and production ML systems. Python and SQL with large behavioural datasets are expected.
Python, SQL
3+ YOECandidates need 3-5+ years of experience running ML systems in production, strong Python, Java or Go skills, and solid knowledge of classic and deep learning methods. Hands-on experience with PyTorch or TensorFlow and designing scalable pipelines is required.
PyTorch, TensorFlow, Spark, Kafka, Ray, Airflow
Censys: Delivering the most complete, accurate, and up-to-date global map of Internet infrastructure, Censys provides industry leading solutions for attack…
5+ YOECandidates need 5+ years in data science, machine learning or software engineering with production ML experience. They need Go or Python, large dataset pipelines, supervised and unsupervised learning, and strong communication skills.
Kubernetes, AWS, Azure, GCP
Tubi - Canada: As a leading ad-supported video-on-demand service, the company engages diverse audiences through a personalized experience and the world’s largest…
3+ YOECandidates need 3+ years of industry experience building production machine learning systems and a BS, MSc or PhD in a related field. Tubi wants hands-on deep learning experience with TensorFlow or PyTorch, end-to-end pipeline skills, and solid statistics knowledge.
TensorFlow, PyTorch
Tubi - Canada: As a leading ad-supported video-on-demand service, the company engages diverse audiences through a personalized experience and the world’s largest…
8+ YOECandidates need 8+ years of industry experience building production machine learning systems and an MSc or PhD in a related field. Strong skills in deep learning frameworks, end-to-end ML pipelines and statistics are required.
TensorFlow, PyTorch
Cresta
5+ YOECandidates need 5 to 8 or more years of building production machine learning systems, with significant LLM experience. Strong skills in NLP, transformers, RAG and agentic workflows are required, plus technical leadership.
PyTorch, TensorFlow, Hugging Face
Wave HQ
3+ YOECandidates need 3 to 5 years of machine learning engineering experience with models deployed to production. They need strong AWS, Airflow and MLOps skills and the ability to explain technical ideas to non-technical stakeholders. FinTech or financial risk experience is a significant advantage.
AWS SageMaker, Spark, AWS Glue, Terraform, Airflow, Databricks
SandboxAQ: SandboxAQ is a B2B company delivering AI solutions that address some of the world's greatest challenges.
5+ YOECandidates need a BS in Software Engineering, Computer Science or a related field, and 5+ years of postgraduate software experience. They need strong Python skills with PyTorch, TensorFlow, JAX, NumPy or Pandas, and proven experience taking ML models to scalable production.
PyTorch, TensorFlow, JAX, NumPy, Pandas, Weights & Biases
Bree
Candidates need strong Python skills, experience with machine learning libraries and MLOps tools, and comfort deploying models on cloud platforms. They should also have solid problem-solving skills and enjoy fast-paced work.
Python, Scikit-learn, LightGBM, PyTorch, MLflow, Kubeflow
Bree
Candidates need strong Python skills, experience with machine learning libraries and MLOps tools, and hands-on work with cloud-based model deployment. Strong analytical skills and the ability to turn business needs into scalable ML solutions are also expected.
Docker, Kubernetes, MLflow, Kubeflow, SageMaker, Pandas
Boson AI
Candidates need a Bachelor's or Master's in computer science, ML, AI or a related field, or equivalent experience. Boson AI requires experience with large language or multimodal models, search systems, Python-style programming and ML frameworks, plus a public GitHub record.
PyTorch, JAX, GitHub
Affirm: Affirm only uses legitimate company email address domains (either “@affirm.com” or "@us.greenhouse-mail.io”) to communicate with candidates via email.
6+ YOECandidates need 6+ years of experience training and launching machine learning models at scale, including low-latency production systems. Strong Python and experience with gradient-boosted tree models are required.
Python, LightGBM, XGBoost, CatBoost, PyTorch, Spark
Affirm: Affirm only uses legitimate company email address domains (either “@affirm.com” or "@us.greenhouse-mail.io”) to communicate with candidates via email.
2+ YOECandidates need 2+ years as a machine learning engineer or a relevant PhD, strong Python skills and experience with classification models such as gradient-boosted trees. Experience with PyTorch, Spark and ML lifecycle tools like MLflow or Airflow is preferred, along with clear communication skills.
Python, PyTorch, Spark, LightGBM, XGBoost, CatBoost
ClickHouse
5+ YOECandidates need 5+ years of production software engineering experience and hands-on experience deploying AI/ML models, including inference APIs and vector databases. Applied ML skills in Python (PyTorch, Jupyter) and compute clusters such as Ray or Slurm are required, and ClickHouse experience is a plus.
PyTorch, Jupyter, Ray, Slurm, ClickHouse, AWS
Sardine
Candidates need hands-on experience building model serving infrastructure and owning ML systems in production. Strong Python, solid software engineering skills, and experience with Kubernetes, containers and a major cloud are required.
Kubernetes, Docker, Go, Python
Replicant
5+ YOEReplicant needs candidates with 5+ years of software development experience in ML infrastructure, ML tooling or ML-powered products. Strong communication skills, independent problem-solving and experience with the Python ML ecosystem are preferred.
Python, PyTorch, FAISS
17 companies