Senior Machine Learning Engineer

Overview

Clio is a global technology company working to transform the legal experience by improving the lives of legal professionals and increasing access to justice.

Clio is seeking a Senior Machine Learning Engineer to join its rapidly growing engineering team. This role is for someone passionate about building innovative solutions, tackling new challenges, working with emerging technologies, and making an impact.

This role is available to candidates across Canada and the US.

What the team does

Clio’s engineering team aims to deliver an incredible customer experience. The AI team uses the latest NLP and generative AI technologies to provide solutions that make customers’ work more streamlined and efficient, giving them more time to focus on their clients’ needs.

Responsibilities

• Develop advanced machine learning models using structured and unstructured data to improve Clio customers’ experience.
• Create LLM-based solutions that help Clio’s clients save time and improve efficiency.
• 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 machine learning engineers, MLOps engineers, and full-stack developers across a variety of projects.
• Participate in diverse projects and collaborate with multiple engineering teams across three countries.
• Review code and provide feedback within your team and across Clio.
• Collaborate with teams across Clio to diagnose, understand, and solve problems and build solutions that may span multiple areas.
• Teach and learn from those around you by providing constructive feedback and using feedback to grow.
• Continue learning, challenging yourself, and honing your craft as a machine learning expert.

Qualifications

• Experience developing models, specifically traditional machine learning, NLP-based models, and transformer models.
• Ability to manipulate, clean, and preprocess complex unstructured data for model development.
• Experience working with open-source LLM foundation models and APIs for commercial LLMs, such as ChatGPT or Gemini.
• Ability to gain fluency in new technologies quickly and work effectively in a dynamic, evolving environment that includes distributed teams and customers.
• Demonstrated success mentoring in software development, particularly using an Agile process and working with large-scale SaaS products.
• A diverse knowledge base that enables you to help your team solve complex technical problems.
• A portfolio of past projects, including notable successes and lessons learned.
• Excellent communication skills and the ability to build high-trust relationships with colleagues and customers.

Compensation and benefits

The expected salary range for this role is $144,500–$195,500 CAD. Separate salary bands apply in other regions based on local currency. The final offer depends on the candidate’s geographic region, applicable experience, and skill set. Clio typically hires experienced candidates at or around the midpoint of the band, while the upper portion is reserved for employees who demonstrate sustained high performance and impact.

Benefits and rewards include:

• Competitive, equitable salary.
• Top-tier health, dental, and vision insurance.
• Hybrid work environment; local employees in Vancouver, Calgary, Toronto, and Dublin are expected to attend the office at least once per week on Anchor Day.
• Flexible time-off policy, with 20 days off per year encouraged.
• $2,000 annual counseling benefit.
• RRSP matching and RESP contribution.
• Clioversary recognition at 3, 5, 7, and 10 years.

Diversity, inclusion, belonging, equity, and accessibility

Clio is dedicated to diversity, equity, and inclusion and is committed to equal employment. Candidates from all backgrounds are encouraged to apply. Accessibility accommodations are available during the recruitment process.

Application status: This job is no longer accepting applications.