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Tilt Finance
6+ YOECandidates need 6+ years of backend engineering experience, experience with .NET (C#) or similar frameworks, and experience scaling consumer products with high transaction volumes. Familiarity with AI-powered development tools is also expected.
.NET, C#, Cursor, Augment, Factory
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
LawZero
5+ YOECandidates need a degree in computer science, software engineering or a related field, and 5+ years of experience handling trillion-token text datasets in data processing, ML engineering or NLP. They also need hands-on work with distributed frameworks such as Spark, Ray or Flink, strong production Python, and experience with orchestration tools such as Airflow, Prefect or Dagster.
Spark, Ray, Flink, Airflow, Prefect, Dagster
Cohere: Cohere is the leading security-first enterprise AI company.
1+ YOECohere needs candidates with at least one year of AI data annotation, LLM evaluation, content moderation, research or a similar analytical role. Candidates need excellent written English, strong attention to detail and comfort with JSON, CSV, Markdown and annotation platforms.
annotation platforms, JSON, CSV, TSV, Markdown, XML
Cohere: Cohere is the leading security-first enterprise AI company.
3+ YOECandidates need 3+ years of real-world data science experience, strong data analysis and visualization skills, and proficiency in Python with pandas and numpy. Strong SQL and familiarity with JSON, XML, YAML and HTML are also required.
Python, pandas, numpy, matplotlib, sqlite, SQL
Cohere: Cohere is the leading security-first enterprise AI company.
3+ YOECandidates need at least 3 years of industry experience in civil, mechanical, electrical or chemical engineering, plus an engineering education background. Experience with medium-to-large engineering projects, CAD software and product lifecycle management is an asset.
CAD software
Jobber: The company continually ranks as one of Canada's fastest-growing and most innovative companies by Canadian Business and Macleans, The Globe and…
Jobber needs a candidate with production ML experience that acted on real users, a strong statistics foundation, expert SQL and production Python, and depth in modern ML methods including transformers and LLMs in production. Graph experience such as Neo4j, Snowflake, Airflow and AWS are strongly valued.
Neo4j, Snowflake, Apache Airflow, AWS, Python, SQL
5 companies