As Relyance AI’s ML/NLP Engineer, you will strategize, drive, and execute initiatives in NLP for information extraction from legal documents and code, as well as general ML in code analysis and 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 customers.
Your work will involve Large Language Models like GPT-4 and LLaMA 2, as well as models such as 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 rapidly evolving predictions.
You will need to pay close attention to detail, anticipate and welcome constant change, and maintain a forward-thinking outlook while being fast and scrappy to address present needs.
Your role will include strategy, execution, design, and being a key member of the team solving complex problems with simple, pragmatic solutions.
Requirements:
You should have 7+ years of experience with a track record of being a key member of teams building ML and NLP solutions, or a PhD in a relevant field preferably with industry experience.
Expert level proficiency in programming languages such as Python, Java, C#, C++, and Scala is required.
Strong skills in data structures, algorithms, and object-oriented software design and implementation are necessary.
You must have the ability to learn and operate across the full stack, from ML and NLP systems to cloud infrastructure and AI backend.
A creative and strategic mindset to build powerful, robust, and flexible solutions is essential.
A “get stuff done” attitude and enjoyment in being hands-on while working alongside the team in a fast-paced, collaborative environment is important.
You should have a track record of successfully influencing product direction and motivating engineers to develop simple, pragmatic solutions to complex problems.
Skills in clear and concise communication, active listening, empathy, and a respectful, collaborative approach that earns the trust of peers are required.
Bonus points for experience with Information Extraction, Semantic Parsing, practical application of LLMs, privacy technology, startup experience, and an advanced technical degree.
Benefits:
Relyance AI fosters an unreasonably hospitable and data-driven culture, prioritizing exceeding customer and team expectations in every interaction.
Team members are empowered to solve problems proactively based on information, crafting personalized experiences, and radiating enthusiasm.
The company promotes trust and freedom, allowing team members to find creative solutions while shared purpose and recognition fuel a spirit of greatness.
Relyance AI is committed to creating an inclusive environment for all employees and celebrates representation.
The company practices fair and equitable compensation, using data-driven pay practices to ensure competitive offerings based on roles, experience, and location.