Machine Learning Engineer

Job Opportunity at Robust Intelligence: Machine Learning Engineer

Company Overview:

At Robust Intelligence, our mission is to eliminate AI risk. As artificial intelligence becomes increasingly embedded in automated decision-making processes, the associated risks grow significantly. Our flagship product seamlessly integrates with existing AI systems to identify and mitigate risks resulting from both unintentional and adversarial failure modes. Given the rise of Generative AI, new vulnerabilities and attacks pose significant threats to AI companies and their users. Our Generative AI Firewall acts as a crucial safeguard against these risks. Our multidisciplinary team of ML engineers, AI security experts, and software developers is dedicated to advancing AI security. Together, we are building a future of secure, reliable AI.

About The Role:

Robust Intelligence is a leader in AI security. In this evolving AI landscape, numerous challenges await your innovative solutions that will make AI safer for everyone. As a Machine Learning Engineer, you will build cutting-edge models and algorithms to detect and protect against AI security risks. Gaining deep domain knowledge in AI and security, you’ll manage all aspects of developing detection techniques and deploying them in production environments. You will work closely with a cross-functional team comprising researchers, engineers, and security experts to design, develop, and deploy innovative AI solutions.

Key Responsibilities:

• Monitor and identify AI security risks by experimenting with the latest ML techniques to build state-of-the-art protections.
• Develop end-to-end ML workflows, experimentation pipelines, and evaluation strategies, and deploy protective mechanisms in production environments.
• Collaborate with senior engineers to stay updated on the latest Generative AI research and emerging security risks.
• Participate in red-teaming assessments to uncover potential threats, gather context, and refine our products.
• Contribute to the overall machine learning culture as a key team member.

Requirements:

• BS or MS in Computer Science/Engineering.
• Strong background in AI, machine learning, and deep learning.
• Hands-on learning approach with a constant drive to decompose and understand problem areas.
• Proficiency in programming languages such as Python or Golang.
• Excellent written and verbal communication skills, along with strong analytical and problem-solving skills.

Technologies We Use:

• Python, including libraries like numpy and pandas.
• ML frameworks such as PyTorch, TensorFlow, Fastai, XGBoost, CatBoost, LightGBM, and sklearn.
• gRPC for platform integration.
• Bonus: Experience with Golang.

Why Join Robust Intelligence?

Robust Intelligence prioritizes the well-being of its employees. We offer various perks and benefits to ensure our team members' health and happiness. Our in-office culture includes free daily lunches, snacks, beverages, commuter benefits, and access to an office gym. Recognizing that our employees are multifaceted individuals, we provide resources and benefits that allow them to thrive both professionally and personally. These benefits include flexible time off, paid parental/family leave, child care allowance, a 401(k) retirement plan, and comprehensive health, dental, and vision insurance for employees and their dependents.

What We Offer:

• Competitive salary and equity in the company.
• 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, including H1B and Green Card.
• Company lunches, dinners, and stocked kitchens with snacks and drinks.
• On-site gym and wellness programs.

Equal Employment Opportunity:

Robust Intelligence is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe diversity enriches our team, and we hire individuals with diverse identities, backgrounds, and experiences. Even if you don’t meet 100% of the qualifications for this job, we strongly encourage you to