Lead Machine Learning Engineer at Datatonic, shaping AI and Data solutions for global businesses. Oversee ML project delivery and mentor engineering talent remotely from Canada.
About the role
- Machine Learning Engineer responsible for developing AI-driven features for Slack's platform. Collaborating with cross-functional teams to optimize user experience through ML models.
Responsibilities
- Leveraging machine learning and artificial intelligence subject matter expertise to drive improvements in the Slackbot experience.
- Develop ML models supporting ranking, retrieval, and generative AI use-cases.
- Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.
- Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.
- Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.
- Support in the development of sustainable data collection pipelines and management of ML features.
- Assist our skilled support team and operations team in triaging and resolving production issues.
- Mentor other engineers and deeply review code.
- Improve engineering standards, tooling, and processes.
Requirements
- Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
- Built with common ML frameworks like PyTorch, TensorFlow, Keras, XGBoost, or Scikit-learn
- Fine tuned LLMs or BERT models.
- Experience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.
- An analytical and data driven mindset, and know how to measure success with complicated ML/AI products.
- Put machine learning models or other data-derived artifacts into production at scale.
- Led technical architecture discussions and helped drive technical decisions within the team.
- The ability to write understandable, testable code with an eye towards maintainability.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
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