Protect AI is seeking an early-stage engineer that will build the foundations of our product and help shape the future of the company. The selected candidate will work closely with the CTO and team of SDE and ML Engineers to build our products, with input on design, best practices, and architectures. As a SDE, you will build the backend, APIs, and workflow orchestration system that power the ML security tools, as well as build and optimize our Cloud-based CI/CD pipeline. Your role and influence will grow quickly as the company expands.
- Design, develop, and maintain software systems, applications, and services
- Collaborate with cross-functional teams to understand requirements and develop solutions
- Act as a technical leader and mentor for junior team members
- Drive the technical direction and architecture of the software systems
- Continuously improve the software development process, including testing, deployment, and monitoring
- Optimize system performance, scalability, and security
- Develop and implement automated testing and continuous integration/continuous delivery (CI/CD) processes
- Participate in code reviews and ensure adherence to coding standards and best practices
- Troubleshoot and debug complex software issues
- Keep up-to-date with new technologies and programming languages and make recommendations for their use in the company's products.
- Strong experience with Python 3 is required as well as expertise in at least 1 strongly typed programming language (Go, Java, C#, C++).
- Strong experience in software development, with a focus on building scalable systems and APIs
- Experience with building and optimizing CI/CD pipelines in a cloud-based environment
- Experience with machine learning and artificial intelligence application development
- Experience with security practices, such as threat modeling and secure coding
- Strong problem-solving skills and ability to work independently in a fast-paced environment
- Bachelor's degree in Computer Science, Computer Engineering, or a related field
- Advanced degree in a related field, such as a Master's in Computer Science or a PhD in Artificial Intelligence, is preferred.
- Strong programming skills in one or more of the following languages: Python, C++, Java, Go, Node.js, etc
- Experience with cloud-based infrastructure and services, such as AWS, Azure, or GCP
- Experience with containerization and orchestration technologies, such as Docker and Kubernetes
- Experience with machine learning frameworks, such as TensorFlow, PyTorch, or scikit-learn
- Strong understanding of machine learning concepts, such as supervised and unsupervised learning, deep learning, and neural networks
- Experience with security best practices and technologies, such as threat modeling and secure coding.
About Protect AI: Building a Safer AI Powered World
Why We Exist: AI is a critical code base in everything from autonomous vehicles, and malware detectors, to zero-carbon emission control systems. The AI code base is only increasing. With any digital transformation such as mobile web, IOT, Web3, and others, new types of cybersecurity vulnerabilities emerge. The key to mitigation is achieved through visibility, insights, and actions that help cybersecurity teams and developers understand threats, spot gaps, and harden systems. As AI systems expand in capabilities, code bases, and data sources used by development teams, opportunities for security incidents have increased and new vulnerabilities have been created in the enterprise ML supply chain.
Who We Are: Our founders all have nearly two decades in leading some of the largest businesses in data science, AI, and ML. We’ve helped hundreds of companies scale their ML Operations, commonly known as MLOps. This scale and scope gave us insights into the unique security needs of ML environments and an understanding of what it takes to blend tools, talent and processes to better secure AI systems. We call that ML Security Operations, or MLSecOps.
What We Do: ML and security teams need new tools and processes to better secure their AI systems. Just as DevSecOps incorporates security directly into DevOps workflows, tools, and processes, Protect AI is building the same thing for MLSecOps. We are embedding security deeply into the MLOps workflows and tools for a more secure and comprehensive approach. Our first and free offering, NB Defense (Notebook Defense), provides data scientists a seamless way to scan their Jupyter Notebooks for common vulnerabilities, dependency checks, third party licenses, personally identifiable information leakage, and API secrets exposure.
Protect AI’s solutions for MLSecOps provide security professionals, ML practitioners, and risk officers a common cybersecurity landscape, along with clear context across AI systems and ML code bases. Our offerings provide a comprehensive security test suite for the unique vulnerabilities found in AI and ML systems, and provide clear remediations so enterprises can deliver more secure ML models and AI systems.
Who Backs Us: The company’s $13.5M seed funding was co-led by some of the biggest names in Cybersecurity and AI day-one companies, including Acrew Capital, boldstart ventures, and Pelion Ventures. Additional investors include CEOs and founders of leading cybersecurity companies running some of the best companies in shift left, cloud security, and data protection domains. We are well funded, and positioned to weather the shifting economic landscape. Our initial build partners include category leaders from key technology suppliers, energy, entertainment, finance, healthcare, software, and national security.
What We Offer: Our market competitive compensation package, strong benefits, and culture are among those you would find in the biggest technology companies. But, you have the ability to build this company with other like minded people, who see the opportunity and vision to build a safer AI powered world. Learn more about our benefits, here.
Equal Employment Opportunity
Protect AI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.