AI/ML Engineer – Join Our Remote Talent Community

Securly; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

Securly is seeking to connect with passionate AI/Machine Learning Engineers for future remote roles. As an innovator in student wellness and safety, they emphasize building models to ensure positive outcomes for students. Interested candidates can join the talent community to be prioritized for upcoming opportunities.

Benefits

Competitive base salary and performance-based incentives

Comprehensive medical, dental, and vision insurance

401(k) with matching contribution

Unlimited PTO and paid holidays

Qualifications

• Experience in high-scale environments is a bonus.
• Passion for data-driven problem solving.
• Eager to work in socially responsible AI.

Responsibilities

• Build and deploy AI/ML models in production.
• Collaborate with engineering and data science teams.
• Experiment and iterate in a fast-moving environment.

Skills

Experience building, training, and deploying machine learning models

Proficiency in Python

Familiarity with NLP

Experience in computer vision

Comfort collaborating with teams

Tools

TensorFlow

PyTorch

Scikit-learn

MLOps tools

Job description

AI / Machine Learning Engineer – Join Our Remote Talent Community

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