Staff Machine Learning Engineer
Crisis Text Line
full-time
Posted on:
Location Type: Remote
Location: Remote • Colorado, Connecticut, Florida, Illinois, Maryland, Massachusetts, Missouri, New Jersey, New Mexico, New York, North Carolina, Pennsylvania, Tennessee, Texas, Utah, Virginia, Washington • 🇺🇸 United States
Visit company websiteJob Level
Lead
Tech Stack
Python
About the role
- 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.
Requirements
- 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.
Benefits
- Reliable High-Speed Internet Required: Must have a stable high-speed internet connection to support seamless remote collaboration, virtual meetings, online job tasks, etc.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data collectiondata labelingmodel pipelineML modelsAI modelsPythonNLP techniquesversion controlclean codemodel monitoring
Soft skills
communicationcollaborationpartnershipsproject planningefficiency identificationdigestible reportingethical considerationsequity awarenesssecurity awarenessprivacy awareness