Develop and deploy machine learning models to support Crisis Text Line's mission of assisting people in crisis. Collaborate with cross-functional teams to create operational efficiencies. Utilize skills in data science, Python, and NLP to drive impact.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Fluency In English Is Required
As a Senior 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 Senior 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.
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- 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.
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- Experience aligning, evaluating, and deploying LLMs.
- Experience with the Hugging Face ecosystem and related frameworks (e.g., Transformers).
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.
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