ML Platform Engineer
$129.2k - $174.8k per yearThemis Solutions
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.
Summary:
We are currently seeking a 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 Clios 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 Clios 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 learning from 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
Ability to take ownership of features and solutions contributing to design and delivery 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
What you will find here:
Compensation is one of the main components of Clios 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
*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 a Human and High Performing AI company meaning we use artificial intelligence to improve all of our recruitment AI helps us streamline the process for greater efficiency. However weve 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 @ email addresses.
Required Experience:
IC
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