Senior Software Engineer - ML/NLP

November 13, 2024

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Relyance AI

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Relyance AI is a global privacy compliance and data security platform that provides tools for companies to protect data, avoid fines, and safeguard their reputation. It offers visibility and control over enterprise data processing and ensures alignment with contracts, global privacy regulations, and compliance frameworks. The platform proactively alerts businesses to risks when operational realities do not meet their obligations, serving as a system of record to prove trust. It also monitors applications, third-party data stores, and AI models to manage data inventories and maps, helping businesses meet their regulatory, compliance, and customer obligations across multiple jurisdictions.

51 - 200 employees

🤖 Artificial Intelligence

📋 Compliance

☁️ SaaS

📋 Description

• As Relyance AI’s ML/NLP Engineer, 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. • This role could be a fit for you if you bring: • 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; or a PhD in relevant field preferably with industry experience • 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, to 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