Skip to main content
Back to jobs

Senior ML Platform Engineer

External
clio logoClio · Toronto, Canada
$155K–$182K/yrFull-timeHybrid2w ago
AWSAzureCADCI/CDExcelGCP
Cover LetterConnect

Prepare for this interview

Elite

AI-generated questions, company research, and talking points tailored to this role


About the role

We are currently seeking a Senior ML Platform Engineer to join our Engineering team. This role is available to candidates across Canada. If you are local to our Toronto, Calgary, or Burnaby hubs, then you will be expected to be in office minimum two days per week for our Anchor Days. What your team does: Our ML Platform team builds and operates the scalable infrastructure and robust platforms that power AI solutions across Clio. We blend deep AI and ML expertise with strong software engineering and cloud infrastructure skills to enable the entire lifecycle of machine learning and generative AI - spanning experimentation, deployment, monitoring, and continuous improvement. By applying best practices in CI/CD, observability, cost optimization, and model governance, and leveraging state-of-the-art tools and frameworks, we ensure our AI systems are reliable, performant, and aligned with business goals. We partner closely with ML engineers, data engineers, and product teams to accelerate the delivery of impactful AI capabilities. What a day in the life might look like: Build and deploy LLM-based solutions that help Clio's customers save time and improve operational efficiency Collaborate cross-functionally with engineering, product management, operations, and data science to identify and develop new ML-driven features Evaluate and integrate new ML tools and frameworks to accelerate experimentation and optimize operations Troubleshoot and resolve production issues such as data drift and model latency using observability tools and logs Participate in design reviews and contribute to architectural decisions shaping Clio's AI platforms Engage in code reviews within your team and across the company, providing and receiving constructive feedback to maintain high standards Continuously learn, challenge yourself, and grow as a machine learning expert while mentoring and collaborating with teammates What you may have: Solid Python or Ruby on Rails development skills, with experience building production-grade applications, services, or ML tooling Expertise in cloud infrastructure (AWS, GCP, or Azure), including Kubernetes, and infrastructure-as-code (Terraform, Helm, or similar) Experience with CI/CD and automating model training, testing, and deployment pipelines Understanding of machine learning and AI concepts, workflows, and lifecycle management Demonstrated leadership skills, with the ability to mentor and guide team members effectively Ability to fully own the design and delivery of robust, scalable solutions from concept through implementation You excel at breaking down complex, challenging problems into manageable parts and iterating toward effective solutions You are naturally curious and love to dig deep into problems, constantly asking, "why?" You communicate clearly and concisely, regardless of the medium (text, voice, or in-person) You value collaboration and proactively seek to build context to power your decisions You have a team-first mentality and will naturally support co-workers when you sense they are facing difficulty Demonstrate a keen interest in improving your craft by using AI Serious bonus points if you have: Familiarity with AI observability tools (logging, metrics, tracing) to monitor and debug AI systems Awareness of ML governance, responsible AI, and best practices for secure, compliant AI operations Proficient in developing and utilizing guardrails to ensure secure, reliable, and compliant AI operations This is for 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, 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 The expected salary range* for this role is $154,700 to $182,000 to $209,300 CAD. There are a separate set of salary bands for other regions based on local currency. *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

Benefits

Health insuranceDental insuranceVision insuranceFlexible schedulePerformance bonus

Additional Information

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 .


Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at clio? Share your experience

Interested in this role?

Apply on the company's website.

Cover LetterConnect