Backend Software Engineer (Research team)

Backend Software Engineer (Research team) at Apollo Research

About the Role

We are seeking a highly motivated and talented Backend Software Engineer to join our Research team. As a Backend Software Engineer, you will be responsible for designing, developing, and maintaining scalable and efficient backend systems that support our research initiatives. You will work closely with our research scientists and engineers to develop innovative solutions to complex problems.

Responsibilities

• Design, develop, and maintain scalable and efficient backend systems using Java, Python, or other relevant programming languages.
• Collaborate with research scientists and engineers to develop innovative solutions to complex problems.
• Work closely with cross-functional teams to ensure seamless integration of backend systems with other components of our research infrastructure.
• Participate in code reviews, contribute to the development of best practices, and help maintain high-quality code.
• Troubleshoot and debug issues with backend systems, and implement fixes and improvements.
• Stay up-to-date with the latest technologies and trends in the field, and apply this knowledge to improve our research infrastructure.

Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 3+ years of experience in software development, with a focus on backend systems.
• Proficiency in Java, Python, or other relevant programming languages.
• Experience with cloud-based platforms such as AWS or GCP.
• Strong understanding of software design patterns, data structures, and algorithms.
• Excellent problem-solving skills, with the ability to troubleshoot and debug complex issues.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Experience with agile development methodologies and version control systems such as Git.
• Familiarity with containerization using Docker.
• Experience with CI/CD pipelines and deployment automation.
• Strong understanding of security best practices and compliance regulations.

What We Offer

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge research projects and contribute to the development of innovative solutions.
• Collaborative and dynamic work environment with a team of talented researchers and engineers.
• Professional development opportunities, including training and mentorship programs.
• Flexible work arrangements, including remote work options.
• Access to state-of-the-art research infrastructure and resources.

How to Apply

If you are a motivated and talented Backend Software Engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information].

This role builds tools for frontier AGI safety research, helping to monitor and control advanced AI systems to prevent undesired behavior and ensure safe development.

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 3+ years of experience in software development, with a focus on backend systems. Proficiency in Java, Python, or other relevant programming languages. Experience with cloud-based platforms such as AWS or GCP. Strong understanding of software design patterns, data structures, and algorithms. Excellent problem-solving skills, with the ability to troubleshoot and debug complex issues. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. Experience with agile development methodologies and version control systems such as Git. Familiarity with containerization using Docker. Experience with CI/CD pipelines and deployment automation. Strong understanding of security best practices and compliance regulations.

No specific benefits, compensation, or perks mentioned in the job description.

Apollo Research focuses on AI safety risks from Loss of Control, particularly deceptive alignment/scheming, working on detection, science, and mitigations while collaborating with frontier AI companies to test models before deployment.