Machine Learning Engineer - Computer Vision

San Francisco Bay Area /
Engineering /

Robust Intelligence's mission is to eliminate AI Risk. As we transition into a world that is adopting AI into automated decision processes, we inherit a great deal of risk. Data drift, misclassified data, prediction biases, and adversarial input easily distort AI outputs and can have detrimental effects. Our flagship product is built to be integrated with existing AI systems and eliminate these risks.

Advancing the state of AI is a collaborative process that requires unusually varied skills and perspectives. To that end, we have built a multidisciplinary team with increasingly diverse backgrounds. Together, we're building the future of secure, trustworthy AI.

About the Role

RIME is a general platform consisting of both a comprehensive suite of automated AI Stress Tests as well as an AI Firewall used in production. As a machine learning engineer with a Computer Vision (CV) focus, you will be responsible for driving the advancement of these core product features across various image related tasks, including image classification, object detection, and facial recognition. Tackling and iterating on these challenges is crucial in achieving our ultimate vision of truly testing, securing, and robustifying AI.

As a Machine Learning Engineer you will:

    • Develop state-of-the art methods for robust machine learning across a multitude of CV tasks
    • Work with software engineers and product managers to build customer-facing software around our core machine learning technology
    • Interface with customers in many different fields to better understand their CV systems
    • Be a thought leader both internally and externally, helping to promote AI security through whitepapers, blog posts, and more.

What we look for:

    • Industry experience developing end-to-end production grade CV systems
    • Familiarity with advanced CV methods and strong algorithmic thinking
    • Good interpersonal skills, communication skills, and understanding of how to tie technical problems to business impact
    • Bonuses: proven research experience, publications (CVPR/ICCV/NeurIPS etc.), open source code related to machine learning

Technologies we use:

    • Python and specifically numpy, pandas
    • ML frameworks like pytorch, tensorflow, opencv, torchvision, etc
    • GRPC for integrating with our platform
What we offer:

We offer the opportunity to make a significant contribution to shaping the future of AI. This opportunity is a collaborative effort between impossibly talented individuals who share a passion for this mission. Our biggest asset is inclusion as we believe that building a diverse community is the key to succeeding on our mission. In addition to the goal and environment we offer:

- Competitive salary, and company ownership through equity
- Market-leading health, dental, and vision insurance for employees and dependents
- Flexible Time Off Policy and Paid Parental/Family Leave
- Education reimbursement program for Individual Learning
- 401(k) Retirement plan
- Commuter benefits
- Immigration sponsorship - H1B and Green Card
- Company lunches, dinners, and kitchens stocked with snacks and drinks
- On-site gym and wellness program