Senior Software Engineer

Summary

Join Abnormal Security's Gen AI Group (GAI) as a Senior Software Engineer and play a pivotal role in architecting, developing, and deploying advanced AI technologies. You will lead technical projects, mentor junior engineers, and collaborate with cross-functional teams. This position requires a strong track record in delivering AI-based solutions and expertise in AI/ML frameworks and backend technologies. The ideal candidate is passionate about AI, innovative, and thrives in collaborative settings. This is a leadership role requiring both code contribution and team guidance. Abnormal Security offers competitive compensation and benefits.

Requirements

• Minimum of 8 years of experience in software engineering with a focus on AI/ML
• Proven track record of delivering AI-based solutions in a production environment
• Experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, etc
• Backend generalist with both breadth and depth of experience with several backend architectures (streaming, event driven, RPC-based, serverless, etc.) and technologies (data stores, caches, RPCs, etc.)
• Strong programming skills in languages such as Python or Go
• Proven track record mentoring engineers and “raising the bar” for the whole team
• Independent and self-motivated

Responsibilities

• Design, develop, and implement advanced AI models and algorithms to solve identified problems, ensuring they meet performance, scalability, and reliability requirements
• Provide technical guidance and mentorship to junior engineers within the team, fostering a collaborative and innovative work environment
• Stay abreast of the latest advancements in AI and machine learning technologies, incorporating relevant techniques and methodologies into the development process
• Work closely with the CTO, Chief Architect, and other stakeholders to understand business needs and translate them into technical solutions
• Ensure the highest standards of code quality, documentation, and best practices are maintained across the team
• Contribute to the architecture and design of AI systems, ensuring they are robust, maintainable, and aligned with the overall technical strategy of the organization
• Analyze and optimize AI models and systems for efficiency, performance, and scalability
• Collaborate with other engineering teams to integrate AI solutions seamlessly into existing products and systems

Preferred Qualifications

• Experience with big data technologies and tools such as Hadoop, Spark, or similar
• Knowledge of reinforcement learning, computer vision, or other specialized AI domains

Benefits

• Bonus
• Restricted stock units (RSUs)
• Benefits