Senior Machine Learning Engineer building causal and decision systems for CSC Generation’s consumer businesses. Developing pricing and other commercial automation using experimentation, uncertainty, and policy learning.
About the role
- Machine Learning Engineer developing machine learning models to enhance legal technology solutions at Clio. Collaborating with teams to identify ML-driven features and improve customer experience.
Responsibilities
- Develop advanced machine learning models using structured and unstructured data to improve Clio’s customer’s experience
- Create LLMs based solutions to help Clio’s clients to save time and create efficiencies
- Collaborate cross-functionally with engineering, product management, operations and data science to identify new ML-driven features for Clio customers
- Work in an agile environment with our team of machine learning engineers, MLOps engineering and full stack developers across a variety of projects
Requirements
- Hands-on experience in model development, particularly with traditional machine learning, NLP, and transformer-based models;
- Proficiency in data manipulation, cleaning, and preprocessing for complex unstructured datasets;
- Experience with agentic frameworks and workflows
- Experience working with open-source LLM foundation models and APIs for commercial LLMs, such as ChatGPT or Gemini;
- A proven ability to quickly learn new technologies and adapt to a dynamic, fast-paced environment with distributed teams and customers;
- A portfolio of past projects showcasing your successes, challenges, and growth as a machine learning expert;
- Exceptional communication skills and the ability to build trust with both internal teams and external customers;
- A strong desire to continuously learn, challenge yourself, and refine your craft as a machine learning engineer.
Benefits
- Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
- Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin, London, New York City and Sydney) to be in office min. twice per week.
- Flexible time off policy, with an encouraged 20 days off per year.
- $2000 annual counseling benefit
- RRSP matching and RESP contribution
- Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years
Job title
Job type
Experience level
Salary
Degree requirement
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Deep Learning Engineer developing player - tracking, evaluation, and forecasting models for SumerSports’ football intelligence platform. Driving research threads into production for NFL and NCAA teams.
LP
Machine_Learning_Specialist / Data Scientist / AI Developer
LinkedIn Recruiter Post
We are seeking a Machine Learning Specialist / Data Scientist / AI Developer with 6+ years of experience in Python, R, SQL, and machine learning.
Machine Learning Specialist developing AI, models, and analytical data products for the Government of Alberta. Applying machine learning to improve public services and policymaking.
Machine Learning Engineer developing production AI models and scalable MLOps platforms for Wave, which helps small businesses thrive. Collaborating on financial - risk applications, governance, observability, and reliable deployment.
Senior Geospatial ML Engineer building satellite - imagery vegetation intelligence for a climate - tech company. Improving production models and pipelines to help utilities prevent wildfires and outages.
Senior Machine Learning Engineer building scalable recommender systems for Thomson Reuters’ legal, tax, compliance, government, and media platforms. Implementing secure ML products and infrastructure.
ML Engineer scaling Torc Robotics’ simulation platform for autonomous trucks. Embedding with Autonomy teams to operationalize replay, recompute, metrics, visualization, and model integrations.
Senior ML Engineer building production AI services and MLOps platforms for Hyatt, a global hospitality company. Optimizing cloud - based inference, infrastructure, and model operations.
Machine learning engineer developing real - time underwriting models for Affirm’s buy - now - pay - later platform. Productionizing risk systems, feature pipelines, monitoring, and experimentation workflows.