Staff Machine Learning Engineer

**Overview**:
Crisis Text Line provides free, 24/7, high-quality text-based mental health support and crisis intervention by empowering a community of trained volunteers to support people in their moments of need.

Our mission is at the intersection of empathy and innovation — we promote mental well-being for people wherever they are.

Our vision is an empathetic world where nobody feels alone.
- Our core values are at the heart of all we do: connect with empathy, center equity, get it done together, and reflect and evolve.**Staff Machine Learning Engineer**:
***PLEASE NOTE WE ARE ONLY SEEKING CANDIDATES IN SPAIN OR COLOMBIA**

**Staff Machine Learning Engineer**

As a Staff Machine Learning Engineer you will be responsible for the ML/AI roadmap at CTL, from its inception to execution. 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 to create operational efficiencies that will increase our organization's impact and 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.
- Identify product and operational opportunities to build solutions that will create efficiencies.
- Work with Product Managers and Engineering teams to get use cases to production.
- Communicate and share model performance and impact in a digestible way with the rest of our organization.
- Consider ethics, equity, security, privacy, and confidentiality, in all work.

**Minimum Qualifications**
- 6+ years of experience in the ML/AI space.
- Theoretical and practical understanding of ML/AI models both for structured and unstructured data.
- Proficiency in SQL and Python and the relevant ML libraries.
- Ability to write clean and modular code and work with version control tools.
- Ability to create project plans to identify tasks, milestones, and deliverables.

**Preferred qualifications**
- Experience building, deploying and maintaining data pipelines in Python and Scala (or PySpark).
- Knowledge of NLP techniques and the associated ML/AI models.
- Experience with the Hugging Face ecosystem or other AI libraries.

**Salary Range**:$126,000 - $178,000
This range is provided by Crisis Text Line. Your actual pay will be based on your skills, experience, location, and applicable law (such as local minimum wage laws). We pay competitively in the tech-forward nonprofit space and offer a robust benefits package.

**Benefits**:
Crisis Text Line employee benefits are thoughtfully designed using an equity lens, acknowledging that we are all unique human beings with individual life circumstances that require flexibility and support.

Benefits include:

- 20 paid holidays including:

- Federal holidays like Juneteenth and Labor Day
- Election day
- Holiday break from Dec 24 through January 1
- 2 renewal days
- 2 floating holidays
- Flexible paid time off, including:

- 15 vacation days
- 3 personal days
- 7 sick days
- Medical, dental, and vision benefits for the staff member and family at no cost to the employee
- 403B retirement plan (the nonprofit equivalent of a 401K): 3% contribution by Crisis Text Line to support building financial wellness, regardless of personal contribution
- 12 weeks paid parental leave (after 6 months of employment)
- Student loan repayment (after 2 years of continuous full time service)
- Family support through a virtual childcare platform
- Stipends/Allowances
- Mental health (Monthly)
- Internet Service (Monthly)
- Professional Development (Annual)
- Wellness (Annual)
- Home office setup (One time/First year)

**Crisis Text Line is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We provide reasonable accommodation to individuals who have a disability and meet the skill, experience, education, and other job-related requirements of the role to allow the individual to perform the essential functions of the job.**: