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Toronto, Ontario, Canada
Onsite
Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely.
We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.
Lead the architectural design of complex ML systems, ensuring they are scalable, maintainable, and integrated seamlessly with the broader engineering stack.
Architect reusable, "platform-level" forecasting frameworks to be used by other Data Science teams.
Own the development of "tier-1" models—those with the highest business risk or technical complexity—using advanced statistical, deep learning, or Reinforcement Learning techniques.
Tackle high-ambiguity challenges, such as integrating causal inference or deep learning into global forecasts.
Act as the subject matter expert for Generative AI; design RAG architectures, evaluate foundation models, and establish fine-tuning protocols for proprietary data.
Define the team’s technical standards for CI/CD, model versioning, and automated testing.
Audit codebases to ensure high-performance and "production-ready" quality.
Own the end-to-end design and evaluation of high-impact product and business experiments, establishing rigorous statistical standards and frameworks to ensure trustworthy, data-driven decisions.
Provide deep technical guidance to more junior Data Scientists.
Influence the roadmap by identifying "blind spots" in current data strategy and proposing novel solutions.
Partner with Data Engineering to optimize data pipelines for ML and with Product to ensure technical feasibility of the long-term vision.
Lead the implementation of Model Interpretability (XAI) frameworks to ensure all automated decisions are transparent and unbiased.
8+ years of experience in Data Science, Machine Learning, or a highly quantitative field, with a track record of deploying models that drove significant revenue or cost savings.
Mastery of System Design and state-of-the-art time-series research.
Leadership without Authority: Proven ability to influence executive leadership and mentor senior technical staff. Proven ability to lead large-scale technical projects across multiple teams without being a direct people manager.
Deep Technical Stack: * Expertise in Python and SQL.
Advanced experience with AWS and Databricks.
Proficiency in distributed computing (e.g., Spark, Ray) and modern data platforms (Snowflake/Databricks).
Modern AI Toolkit: Hands-on experience with LLM orchestration (LangChain, Haystack), vector databases, and PyTorch or TensorFlow.
System Design: Strong understanding of software engineering principles (microservices, API design) as they relate to deploying ML at scale.
Education: Master’s or PhD in Computer Science, Physics, Statistics, Mathematics, or a related quantitative field.
Communication: Ability to persuade executive leadership on technical investments and "sell" a long-term technical vision.
This is a new role.What you will find here:
Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.
Some highlights of our Total Rewards program include:
Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin 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
*Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate.
Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility
Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.
Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
Learn more about our culture at clio.com/careers
We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions.
Disclaimer: We only communicate with candidates through official @clio.com email addresses.