Staff Machine Learning Engineer

Fluency In English Is Required

As a Staff Machine Learning Engineer, you will be responsible for the ML/AI roadmap at CTL—from the inception of use cases to their deployment and monitoring. You will partner closely with a cross-disciplinary group of staff, including a mix of engineering, product, data, and operational teams. Through this work, you’ll help create operational efficiencies that increase our organization’s impact and advance our mission of supporting people in crisis.

As a Staff Machine Learning Engineer, You Will

• Fully own the model pipeline, from data collection and labeling to deployment and monitoring.
• Identify product and operational opportunities to build solutions that create efficiencies.
• Work with Product, Design, and Engineering to bring use cases into production.
• Establish effective partnerships and collaboration with subject matter experts, including Clinical Supervisors, Learning Experts, and Coaches.
• Communicate and share model performance and impact in a digestible and accessible way with the rest of the organization.
• Consider ethics, equity, security, privacy, and confidentiality in all work.
  
  

Minimum Qualifications

• 6+ years of experience in the data science space.
• Theoretical and practical understanding of ML/AI models for both structured and unstructured data.
• Experience across the model development pipeline, from inception to deployment and monitoring.
• Proficiency in Python and relevant data and ML/AI libraries.
• Experience with text as a data source, including knowledge of NLP techniques and associated ML/AI models.
• Ability to write clean, modular code and work with version control tools.
• Ability to create project plans that identify tasks, milestones, and deliverables.
  
  

Preferred Qualifications

• Experience aligning, evaluating, and deploying LLMs.
• Experience with the Hugging Face ecosystem and related frameworks (e.g., Transformers).
  
  

Reliable High-Speed Internet Required: Must have a stable high-speed internet connection to support seamless remote collaboration, virtual meetings, online job tasks, etc.

This is a remote-only position

Please note: The following eligibility applies to U.S.-based roles only.

Only candidates in the following states will be eligible for employment: CO, CT, FL, GA, IL, IN, MD, MA, MI, NJ, NM, NY, NC, PA, TN, TX, UT, VA, WA.