Senior Machine Learning Engineer

Join to apply for the Senior Machine Learning Engineer role at Clio 1 day ago Be among the first 25 applicants Join to apply for the Senior Machine Learning Engineer role at Clio Get AI-powered advice on this job and more exclusive features. Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.Summary:We are currently seeking a Senior Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and being exposed to new challenges and technologies while making an impact.This role is available to candidates across Canada and the US. If you are local to one of our hubs (Toronto, Calgary, or Burnaby) then you will be expected to be in office twice per week on days of your choice. If you are not local to our hubs, then you may work remotely across Canada or the US, but our offices are open if you would like to visit.What your team does:At Clio, we are proud to have an exceptional team dedicated to transforming the legal experience for all, and our engineering team’s goal is to deliver outstanding solutions that empower and delight our customers.The AI team leverages cutting-edge advancements in Natural Language Processing (NLP) and Generative AI (GenAI) to develop innovative tools that streamline workflows, enhance efficiency, and enable legal professionals to focus on what matters most - justice.A day in the life might look like:Develop advanced machine learning (ML) models using structured and unstructured data to improve Clio’s customer’s experience Create Large Language Model (LLM) 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 engineers, and software developers across a variety of projects What you may have:Experience working with open-source LLM foundation models and APIs for commercial LLMs, such as ChatGPT or Gemini Hands-on experience in model development, specifically with GenAI, NLP-based modeling, transformer-based models, and prompt engineering and evaluation Proficiency in data manipulation, cleaning, and pre-processing for complex unstructured data sets A proven ability to quickly learn new technologies and adapt to a dynamic, fast-paced environment with distributed teams and customers A history of past projects showcasing your successes, challenges, and growth as an ML expert Clear communication skills and the ability to build trust with both internal teams and external customers Demonstrated success in mentorship within software development, particularly using an agile process and with large-scale SaaS products A strong desire to continuously learn, challenge yourself, and refine your craft as an ML engineer 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, and Dublin) to be in office minimum 2 days per week on our Anchor Days. 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 full salary range* for this role is $152,600 to $179,500 to $206,400 CAD.Please note salary bands may differ based on location and local currency. Additionally, benefit offerings may differ depending on the employee's location.We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Please note there are a separate set of salary bands for other regions based on local currency. Diversity, Inclusion, Belonging and Equity (DIBE) & AccessibilityOur 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/careersDisclaimer: We only communicate with candidates through official @clio.com email addresses. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development and IT Services and IT Consulting Referrals increase your chances of interviewing at Clio by 2x Sign in to set job alerts for “Senior Machine Learning Engineer” roles. 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