We are a rapidly growing SaaS company with a pre-IPO valuation of $7 billion. Our platform serves over 1 million enterprise users across 30,000 customers in 130 countries, generating more than $600 million in annual recurring revenue (ARR).
Building from a blank sheet of paper, this is an exciting opportunity to work on a range of cutting-edge projects involving Natural Language Processing (NLP), Large Language Models (LLMs), and advanced AI methodologies. You will work with both sensitive customer content and publicly available documents, enhancing our products with document set comprehension, longitudinal insight extraction, semantic search capabilities, and retrieval augmented generation.
We are seeking experts in Applied Science or Machine Learning for Mid, Senior/Staff, and Principal level positions. Candidates should be proficient in Python, with experience using libraries like NumPy, scikit-learn, Pandas, NLTK, spaCy, or PyTorch. Additionally, expertise in building ML/AI pipelines and using tools such as MLFlow or AWS SageMaker is required.
JOB RESPONSIBILITIES
- Design and implement secure, scalable, fault-tolerant, high-performance, yet simple solutions using AWS Serverless technology. These solutions should strive to be event-driven, highly observable, with infrastructure as code, and tightly leveraging AWS’s ecosystem of services.
- Optimize your development and delivery experience in order to maximize your team’s productivity and deploy continuously to production.
- Work in a collaborative environment where you regularly pair, plan, and execute tasks as a team and strive to optimize your team’s DORA metrics.
- Participate in product design so you understand our customer problems and suggest solutions to solve those problems.
- Provide constructive code reviews so everyone can grow and learn alongside you.
- Develop Single Page Application user experiences built with React.
EXPERIENCE
- Experience with AWS CDK, TypeScript and React.
- Experience with Microservices architecture and Event-driven architecture.
- Experience CI/CD pipelines and automated testing on AWS.
- Experience with Business IntelligenceI tools, such as AWS QuickSight, Tableau or Power BI
REQUIRED EXPERIENCE
- 3+ years of professional experience delivering large-scale, high-availability, secure web applications in an agile environment.
- 2+ years of experience in AWS.
- Strong ability to develop highly-readable and well-tested code that adheres to SOLID principles.
- Ability to contribute to a high-performing agile team, and to product innovation.
- Passion for learning and sharing your knowledge with others.
- Excitement for understanding our customers and their problems, so that we can improve governance all around the world.
REQUIRED EDUCATION
- Bachelor’s degree in Computer Science, Data Science, Machine Learning, Engineering, Mathematics, Statistics, or a related field.
- Master’s or PhD preferred.