Senior Backend Software Engineer, Abnormal Security

• 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

Desirable

• The Gen AI Group (GAI) is at the forefront of developing next-generation AI-based solutions that will transform our customer-facing products and internal applications
• As a Senior Software Engineer in the GAI, you will play a pivotal role in architecting, developing, and deploying advanced AI technologies to solve complex problems identified working with senior engineering leaders including our CTO and Chief Architect
• This position requires a blend of technical expertise, innovative thinking, and leadership skills to drive the development of cutting-edge AI solutions
• AI Solution Development: Design, develop, and implement advanced AI models and algorithms to solve identified problems, ensuring they meet performance, scalability, and reliability requirements
• Technical Leadership: Provide technical guidance and mentorship to junior engineers within the team, fostering a collaborative and innovative work environment
• Research & Innovation: Stay abreast of the latest advancements in AI and machine learning technologies, incorporating relevant techniques and methodologies into the development process
• Collaboration: Work closely with the CTO, Chief Architect, and other stakeholders to understand business needs and translate them into technical solutions
• Code Quality & Best Practices: Ensure the highest standards of code quality, documentation, and best practices are maintained across the team
• System Architecture: Contribute to the architecture and design of AI systems, ensuring they are robust, maintainable, and aligned with the overall technical strategy of the organization
• Performance Optimization: Analyze and optimize AI models and systems for efficiency, performance, and scalability
• Integration: Collaborate with other engineering teams to integrate AI solutions seamlessly into existing products and systems
• This is a leadership role on the team and you will be expected to contribute both code and guidance to the team: you will be accountable for delivering great solutions and simultaneously making the team around you better