Securly Logo

Securly

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

Posted 12 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in United States of America
Entry level
Remote
Hiring Remotely in United States of America
Entry level
Securly is looking for AI/ML engineers to join their remote talent community for future roles focused on building models for student wellness and safety.
The summary above was generated by AI

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

Top Skills

Mlflow
Python
PyTorch
Sagemaker
Scikit-Learn
TensorFlow
Vertex Ai

Similar Jobs

An Hour Ago
Remote
Hybrid
Pleasanton, CA, USA
52K-65K Annually
Mid level
52K-65K Annually
Mid level
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
As a Release Engineer, you'll oversee the release process, manage documentation, perform risk assessments, and coordinate with stakeholders. You will work with various teams to ensure timely releases to QA and production environments.
Top Skills: AWSBitbucketGCPHarnessJenkinsJIRA
An Hour Ago
Remote
Hybrid
Pleasanton, CA, USA
188K-235K Annually
Senior level
188K-235K Annually
Senior level
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Lead the design and implementation of Salesforce solutions, ensuring alignment with business strategies, while mentoring teams and adhering to best practices.
Top Skills: ApexBoomiFlowGitInformaticaJIRALwcMulesoftRest ApisSalesforceSalesforce DxSoap ApisVs Code
An Hour Ago
Remote
Denver, CO, USA
150K-160K Annually
Senior level
150K-160K Annually
Senior level
Information Technology • Machine Learning • Software • Conversational AI • Generative AI • Manufacturing
The Senior DevOps Engineer will enhance developer workflows, manage cloud infrastructure, and build CI/CD pipelines while ensuring security and compliance.
Top Skills: AnsibleAWSAzureAzure DevopsGitKubernetesNew RelicOpentelemetryTerraform

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account