As Relyance AI’s Senior Software Engineer, ML, you will strategize, drive, and execute on the initiatives in NLP for information extraction from legal documents, ML/NLP for information extraction from code and general ML in code analysis, as well as overall AI backend initiatives. You will partner with cross-functional stakeholders to design and build flexible, powerful, and robust features that scale the impact of AI for our customers. You will work with Large Language Models like GPT-4 and LLaMA 2, as well as models of the scale of T5 or BERT. You will create novel model architectures and ML/NLP techniques, build data curation and model training workflows, and perform error analysis to drive feature development. As a senior engineer, you will be a core member of the team building a system with complex data and nature of predictions that rapidly evolve over time. You will need to pay close attention to detail, anticipate and welcome constant change, maintain a forward-thinking outlook, all while being fast and scrappy to address present needs. 

As a Senior Software Engineer - ML, your role will include:

• 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. 

This role could be a fit for you if you bring:

• 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.

Bonus points for:

• Experience with Information Extraction, Semantic Parsing, practical application of LLMs
• Experience with a privacy technology
• Startup experience
• An advanced technical degree

Working at Relyance AI:

At Relyance AI, we create an unreasonably hospitable and data-driven culture. We prioritize exceeding customer, and each other’s, expectations in every interaction. This means empowered team members solving problems proactively based on information, crafting personalized experiences, and radiating enthusiasm. Behind the scenes, trust and freedom allow team members to find creative solutions, while shared purpose and recognition fuel a spirit of greatness to truly wow customers and each other. We deconstruct failures to learn from them and take great pride in our successes; celebrating both.

Relyance AI is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are committed to fair and equitable compensation practices. We use data-driven pay practices with the goal of ensuring offerings are competitive to the market and our team members are being compensated correctly based on their roles, experience, and location.