Strategy: using your experience and understanding of how ML and NLP features are built to achieve state of the art results in real products, you will generate data-driven insights on how to evolve capabilities of Relyance AI.
Execution: create practical ML and NLP solutions, making customer-centric prioritization decisions to balance between immediate impact and long-term bets; partner, align, and collaborate with other engineering teams to implement features end to end, in particular throughout data engineering systems such as Airflow, VertexAI, BigQuery, etc.; or the Relyance backend.
Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to incorporate state of the art NLP and ML techniques; continuously look for opportunities to automate and build tools to lower operational barriers.
Being a key member of the team solving its most complex problems with the simple, pragmatic solutions.
Requirements
7+ years of experience with a track record of being a key member of teams building ML and NLP solutions.
Expert level proficiency in languages like Python, Java, C#, C++, Scala, etc.
Strong data structures, algorithms, and OO software design and implementation skills.
Ability to learn and operate across full stack, from ML and NLP systems, to cloud infrastructure, and AI backend.
Experience as a creative and strategic thinker with mindset to build powerful, robust, and flexible solutions.
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.
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