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HiddenLayer

Staff Machine Learning Engineer

Posted 15 Days Ago
Remote
Hiring Remotely in US
Senior level
Remote
Hiring Remotely in US
Senior level
Design and implement scalable MLOps infrastructure, transform research prototypes into production-ready systems, and collaborate across teams for efficient ML development.
The summary above was generated by AI

ABOUT THE ROLE:

HiddenLayer is entering an exciting new chapter in our company history and we are seeking a seasoned Machine Learning Engineer to help architect and scale our ML infrastructure. In this high-impact role, you'll build mission-critical systems that accelerate the research and deployment of cutting-edge ML models central to our mission of securing artificial intelligence across the enterprise.

As a Machine Learning Engineer, you will spearhead the development of robust MLOps pipelines, scale our data platform for reliability and performance, and collaborate closely with data scientists and product engineers to seamlessly integrate innovative models into our security solutions. Your expertise will be instrumental in transforming HiddenLayer's industry-leading research into deployable, production-ready systems that provide unparalleled AI security to our clients.

WHO WE ARE:

HiddenLayer protects the world’s most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely. 

Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.

WHAT YOU’LL DO:

  • Design and implement scalable MLOps infrastructure with clean, maintainable, and testable Python code that meets production standards
  • Transform research prototypes into reproducible, version-controlled model training pipelines, bridging the gap between data science experimentation and production deployment
  • Architect and optimize workflow orchestration using Metaflow to streamline model training, evaluation, and deployment processes
  • Scale our data platform leveraging Apache Iceberg to handle increasing data volumes while maintaining query performance and data integrity
  • Develop efficient data ETL pipelines that prepare diverse datasets for model training and evaluation
  • Collaborate across teams to establish best practices for ML development, testing, and deployment

WHO YOU ARE:

  • A proven ML Engineer with experience shipping production-ready machine learning systems that deliver measurable business impact
  • A technical leader with expertise in Python, MLOps tools, and modern data infrastructure who stays current with evolving best practices
  • A collaborative team player who excels at translating complex technical concepts across different stakeholders and values open communication
  • A self-driven problem-solver who thrives in ambiguous environments and can create structure where little exists

WHY HIDDENLAYER?

We’re moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft’s Venture Fund, and Moore Strategic Ventures. 

Attracting and retaining the very best people is our #1 priority. That’s why we offer our team best-in-class benefits, including:

  • Fully Remote: We are a completely remote global team. Though we’re distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses. 
  • Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.
  • Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events.
  • Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.

To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.

HiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.

Top Skills

Apache Iceberg
Metaflow
Mlops
Python

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