Senior Software Engineer, Relyance AI

• 7+ years of experience with a track record of being a key member of teams building complex backends, especially backends that deal with complex data
• Expert level proficiency in one or more languages like Java, Scala, C#, C++, Python
• Strong data structures, algorithms, and OO software design and implementation skills
• Ability to learn and operate across full stack, from ML and NLP, to cloud infrastructure, to UI frontend
• Experience as a creative and strategic thinker with mindset to build powerful, robust, and flexible systems
• A “get stuff done” attitude and enjoy being hands-on and working alongside the team to solve its most pressing problems in a fast-paced, collaborative environment
• A track record of successfully influencing product direction through a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems
• Skills in communicating with clear and concise, active listening and empathy skills, and a respectful, collaborative approach that earns the trust of your peers

Desirable

• Strategy: using your experience and understanding of how complex backends and data evolve over time, you will create and execute a roadmap for a system that enables high velocity AI development while creating stability on the product side
• Execution: make customer-centric prioritization decisions to balance between immediate impact and long-term bets with limited resources and partner with the team manager to drive alignment and collaboration with other engineering teams
• Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to improve and scale our infrastructure; continuously look for opportunities to automate and build tools to lower operational barriers
• Hands-on: being a key member of the team solving its most complex problems with the simple, pragmatic solutions
• Learning: in this role, you will have ample opportunities to become a hands-on AI/ML engineer by learning practical use of AI technologies such as Large Language Models (e.g. ChatGPT and GPT-4), smaller models like BERT and T5, frameworks like PyTorch and TensorFlow, model training and data curation workflows, etc