Offer summary

Qualifications:

Experience in building, training, and deploying machine learning models in production., Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Scikit-learn., Familiarity with cloud-based model pipelines and MLOps tools like SageMaker or Vertex AI., Comfortable collaborating with engineering, product, and data science teams..

Key responsibilities:

Build and deploy machine learning models that drive real-world outcomes in student safety and wellness.

Collaborate with cross-functional teams to integrate models into products.

Experiment and iterate on model performance in a fast-paced environment.

Contribute to socially responsible AI initiatives that support educational institutions.

Job description

AI / Machine Learning Engineer – Join Our Remote Talent Community (Not a Current Opening)

Location:
Remote – United States
Type: Expression of Interest

About Securly
Securly is the #1 trusted innovator in student wellness, safety, and engagement, serving more than 20 million students across 20,000+ schools globally. Recognized in the EdTech Top 40 Report, we deliver the most comprehensive AI-driven solutions in the market—impacting students’ digital lives through powerful technology.

Since launching the world’s first cloud-based web filter for K–12 in 2013, our team has expanded into a full-stack ecosystem powered by AI/ML. We process over 1.1 billion requests and 54TB of data daily, allowing our engineers to train and deploy models on one of the most mission-driven and uniquely scaled datasets in education.

Join Our Remote Talent Community
Note: This is not an active job opening.

We’re always looking to connect with AI and machine learning engineers excited about building models that drive real-world outcomes in student safety, wellness, and engagement.

By joining our Remote Talent Community, you’ll be considered for future AI/ML roles and prioritized when aligned opportunities become available.

What We Look For in Future AI / ML Engineer Hires

We regularly seek professionals with:

Experience building, training, and deploying machine learning models in production
Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Scikit-learn
Experience working with NLP, computer vision, time-series analysis, or anomaly detection
Familiarity with cloud-based model pipelines and MLOps tools (e.g., SageMaker, Vertex AI, MLflow)
Comfort collaborating with engineering, product, and data science teams

Bonus for experience working with student-related data, high-scale environments, or ethical/secure AI frameworks.

Who You Are

A mission-driven engineer passionate about solving complex problems using data
Experienced in building models that integrate with real-world products
Eager to contribute to socially responsible AI that supports schools and students
Comfortable with experimentation, iteration, and delivering results in a fast-moving environment
Excited to work remotely with a collaborative, outcome-driven team

Why Join Securly (When the Time Comes)

If and when a relevant role opens, our full-time team members enjoy:

Competitive base salary and performance-based incentives
Comprehensive medical, dental, and vision insurance
401(k) with matching contribution
12 weeks of fully paid parental leave
Unlimited PTO, 13 company-paid holidays (U.S.), and a 1-week paid winter break
$1,000 annual stipend for professional development
A remote-first culture built on trust, flexibility, and impact

How to Apply
To express interest, submit your resume and complete the short application. We include a few key questions designed to help you highlight your background and share why you’d be a strong fit for future opportunities.

This is your chance to tell us more about:

Your experience building and deploying AI/ML models
The types of data or problems you’re passionate about solving
The kind of AI/ML role you’d be most excited to explore in the future

By applying, you’ll be added to our Talent Community and considered for future, 100% remote-based openings that align with your skills and goals. #LI-REMOTE

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