AI/ML Engineer

Posted 7 Days Ago
Be an Early Applicant
Remote
3-5 Years Experience
Security • Cybersecurity
The Role
Join Contrast Security as an ML Developer to design, develop, and deploy ML models for cybersecurity. Collaborate with teams to integrate and improve models, develop the AI/ML platform, and mentor team members. Stay updated on ML trends and technologies.
Summary Generated by Built In

Contrast Security is the world’s leader in Runtime Application Security, embedding code analysis and attack prevention directly into software. Contrast’s patented security instrumentation disrupts traditional AppSec approaches with integrated and comprehensive security observability that delivers highly accurate assessment and continuous protection of an entire application portfolio. The Contrast Runtime Security Platform enables powerful Application Security Testing and Application Detection and Response, allowing developers, AppSec teams, and SecOps teams to better protect and defend their applications against the ever-evolving threat landscape. Application Security programs need to modernize and Contrast empowers teams to innovate with confidence.


Are you passionate about using machine learning to make a real impact in the world of cybersecurity? Do you want to be part of a team that’s dedicated to securing the software that drives our modern digital world? If so, we invite you to join Contrast Security as an ML Developer. At Contrast Security, we are at the forefront of application security, helping our customers protect their software from cyber threats. As an ML Developer, you’ll play a crucial role in accelerating our machine learning capabilities, contributing to innovative solutions that safeguard countless applications and systems. Join us in our mission to make software security intelligent, proactive, and effortless for our customers.

Responsibilities

  • Design, develop, deploy, and fine-tune ML models to solve business problems.
  • Preprocess data, select appropriate models, and perform feature engineering.
  • Collaborate with other engineering teams to integrate ML models.
  • Continuously evaluate and improve model performance.
  • Collaborate with stakeholders to understand requirements, assimilate data, build models, communicate results, and deploy solutions.
  • Develop the AI/ML platform and infrastructure to power key AI/ML features in the Contrast Platform.
  • Stay updated with the latest ML and AI trends and technologies.
  • Mentor other team members.

Qualifications

  • Passionate about ML and AI technologies
  • Proven experience as a machine learning engineer or similar role
  • Understanding of application security
  • Experience with various machine learning algorithms, data preprocessing, and feature engineering
  • Experience deploying ML models in production environments
  • Familiarity with containerization and orchestration tools like Docker & Kubernetes
  • Strong problem-solving skills and the ability to troubleshoot complex issues
  • Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences

We are changing the world of software security. Do it with us.  

We believe in what we do and are passionate about helping our customers secure their business.

If you’re looking for a challenge and want to enjoy where you work, you’ll love Contrast Security.


Contrast Security is committed to a diverse and inclusive workplace. We are an equal-opportunity employer, and our team is comprised of individuals from many diverse backgrounds, lifestyles, and locations. At Contrast, we strive to build diverse teams that reflect the people we want to empower through our products. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Contrast is proud to be an equal-opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.


By submitting your application, you are providing Personal Information about yourself (cover letter, resume, email address, etc.) and hereby give your consent for Contrast Security, Inc. and/or our HR-related Service Providers to use this information for the purpose of processing, evaluating and responding to your application for current and future career opportunities. If you are a resident of the European Economic Area or are applying for a position in the European Economic Area, Contrast’s Privacy Statement reflects our policies around compliance with the General Data Protection Regulation (“GDPR”) and your rights respective to GDPR. As a California resident, you are entitled to certain rights under CCPA: The California Consumer Privacy Act of 2018 (“CCPA”). Under CCPA, businesses must be overtly transparent about the personal information they collect, use, and store on California residents. CCPA also gives employees, applicants, independent contractors, emergency contacts, and dependents (“CA Employee”) new rights to privacy.


Recruitment Agencies: Although we value the services you provide, at this time, we are only accepting resumes from agencies, headhunters, or other suppliers who have signed a formal agreement with us.

Top Skills

Python
The Company
Baltimore, MD
345 Employees
On-site Workplace
Year Founded: 2014

What We Do

Contrast Security is the world’s leading provider of security technology that enables software applications to protect themselves against cyberattacks, heralding the new era of self-protecting software. Contrast's patented deep security instrumentation is the breakthrough technology that enables highly accurate assessment and always-on protection of an entire application portfolio, without disruptive scanning or expensive security experts. Only Contrast has sensors that work actively inside applications to uncover vulnerabilities, prevent data breaches, and secure the entire enterprise from development to operations, to production.

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