The ad says“Proficiency in data manipulation, cleaning, and preprocessing for complex unstructured datasets”
The ad says“Proficiency in data manipulation, cleaning, and preprocessing for complex unstructured datasets”
The ad says“Proficiency in data manipulation, cleaning, and preprocessing for complex unstructured datasets”
The ad says“Hands-on experience in model development, particularly with traditional machine learning, NLP, and transformer-based models”
The ad says“Hands-on experience in model development, particularly with traditional machine learning, NLP, and transformer-based models”
The ad says“Hands-on experience in model development, particularly with traditional machine learning, NLP, and transformer-based models”
Values
The ad says“Experience with agentic frameworks and workflows”
The ad says“Experience working with open-source LLM foundation models and APIs for commercial LLMs, such as ChatGPT or Gemini”
The ad says“Experience working with open-source LLM foundation models and APIs for commercial LLMs, such as ChatGPT or Gemini”
The ad says“Experience working with open-source LLM foundation models and APIs for commercial LLMs, such as ChatGPT or Gemini”
The ad says“Experience working with open-source LLM foundation models and APIs for commercial LLMs, such as ChatGPT or Gemini”
The ad says“Experience with agentic frameworks and workflows”
We are currently seeking a Machine Learning Engineer to join our rapidly growing engineering team
We at Clio have an amazing team that is on a mission to transform the legal experience for all, and our engineering team’s goal is to deliver an incredible experience to our customers. In the AI team in Clio, we use the latest technology in the space of NLP and GenAI to provide our customers with solutions to make their work more streamlined and efficient allowing them to have more time to focus on their clients’ needs
Develop advanced machine learning models using structured and unstructured data to improve Clio’s customer’s experience
Create LLMs 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 engineering and full stack developers across a variety of projects
Benefits
Specialized learning and development programs and access to an in-house performance coach
Equitable compensation for your contributions, regardless of gender, race, or any other identifying factor
Access to pay transparency on all of our global roles
Company equity for applicable employees
RRSP-matching in Canada, 401k in the US, and pension plans in Ireland
Hybrid model – striking the right balance between the benefits of in person connectivity that in office brings, and the flexibility of remote
Flexible paid time off (4-week minimum with opportunities for personalization based on individual needs and achievements)
Parental leave options for birthing and non-birthing parents
A $500 contribution to your child’s RESP
Various health, dental, and vision benefits for you and your family, including an Employee and Family Assistance Program
Virtual and In-person Wellness Programs to support mental and physical health
Paid time for volunteering through our Clio Gives program
$2000 annual counseling benefit for CAD Clions
Preferred experience
This role is for someone who is passionate about building innovative solutions and being exposed to new challenges and technologies while making an impact
Experience with agentic frameworks and workflows
Experience working with open-source LLM foundation models and APIs for commercial LLMs, such as ChatGPT or Gemini
Exceptional communication skills and the ability to build trust with both internal teams and external customers
Hands-on experience in model development, particularly with traditional machine learning, NLP, and transformer-based models
A strong desire to continuously learn, challenge yourself, and refine your craft as a machine learning engineer
Proficiency in data manipulation, cleaning, and preprocessing for complex unstructured datasets
A proven ability to quickly learn new technologies and adapt to a dynamic, fast-paced environment with distributed teams and customers
A portfolio of past projects showcasing your successes, challenges, and growth as a machine learning expert
