About the position
In this role, you will develop high-quality, clean, scalable, and reusable code by adhering to best practices in software engineering architecture and processes, including code reviews and unit testing. You will collaborate closely with product owners to gather detailed requirements specifically for Generative AI products, taking full ownership of your code throughout the entire lifecycle—from design and implementation to test automation and the delivery of high-quality, innovative solutions that leverage generative AI technologies for our users. Additionally, you will create user-friendly software that enables customers to extend and customize functionality according to their specific needs, work alongside cross-functional teams to integrate machine learning solutions effectively, and play a vital role in the design and implementation of new products and features while enhancing the existing product suite with innovative machine learning capabilities. You will also serve as a mentor to colleagues, fostering an environment of knowledge-sharing and continuous learning.
Responsibilities
- Develop high-quality, clean, scalable, and reusable code.
- Adhere to best practices in software engineering architecture and processes.
- Collaborate closely with product owners to gather detailed requirements for Generative AI products.
- Take full ownership of code throughout the entire lifecycle.
- Create user-friendly software that enables customers to extend and customize functionality.
- Work alongside cross-functional teams to integrate machine learning solutions.
- Design and implement new products and features.
- Enhance existing product suite with innovative machine learning capabilities.
- Serve as a mentor to colleagues.
Requirements
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
- Over 8 years of experience with strong proficiency in React.js, Java, Python, or a similar object-oriented programming language.
- A solid understanding of data structures, algorithms, object-oriented design principles, design patterns, and considerations for performance and scalability.
- Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Jupyter Notebooks).
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
Benefits
- Base pay of $158,500 - $277,500.
- Equity (when applicable).
- Variable/incentive compensation.
- Health plans, including flexible spending accounts.
- 401(k) Plan with company match.
- Employee Stock Purchase Plan (ESPP).
- Matching donations.
- Flexible time away plan.
- Family leave programs.
