As an Applied Scientist with Codified, you will critically shape the efficacy and future of our data authorization engine. You will be at the forefront of developing cutting-edge technologies that enable organizations to manage access to their data more effectively and securely. You will lead our efforts to express data policy in natural language by both developing and honing the efficacy of our proprietary models. You will collaborate closely with other members of the technical team as we adapt and develop state-of-the-art research to meet the high-quality standards of our customers.
Description
These are early, exciting days for Codified. Life here is fast-paced, challenging, and a whole lot of fun. We’re seeking people who bring an innovative and agile approach to their work, love tackling complex challenges head-on, and are ready to make a real difference as our team and product scale. Beyond contributing technically, you will have the opportunity to represent our technical strategy to customers, recruit new team members, and influence the norms and culture of our company as one of our first employees.
Responsibilities:
• Conduct research to enhance Codified's data authorization solution, leveraging your expertise in large-scale data systems to optimize performance and security.
• Develop and refine models that enable natural language-based data policy expressions, making data access management more accessible for a broad range of users.
• Develop and refine data classification models that help Codified, and users, understand data sensitivity.
• Work closely with our technical team, as well as collaborate with external partners, to ensure the successful implementation of data authorization solutions for Codified's clients.
• Design and execute experiments to validate the effectiveness of Codified's data authorization solution, making data-driven improvements where necessary.
• Stay up-to-date with the latest advancements in data management and security, bringing innovative ideas to the leadership team and advising them on how Codified can maintain a competitive edge in a rapidly-changing technology landscape.
Qualifications:
• Proven expertise in large-scale data systems, data management, and data security. Ability to mine and explore data using traditional training and analyzing methods.
• Experience in developing and implementing machine learning and natural language processing algorithms.
• Strong programming skills and direct experience contributing to production code.
• Intense intellectual curiosity about emerging technologies, including Large-Language Models (LLMs.) Strong preference for applicants who have experimented with LLMs through application toolkits, such as langchain, llama-index, auto-gpt, autogen, or similar platforms, and are comfortable fine-tuning them.
• Familiarity with the enterprise data governance workflow and experience contributing to access and management or authorization solutions.
• Excellent communication skills, with the ability to convey complex technical concepts in a clear and understandable manner for a non-technical audience.
• Bachelor’s degree in computer science, mathematics, data science, or a similar field. Advanced degree in computer science, mathematics, data science, or a similar field is preferred but not required.
Benefits:
• A dynamic and collaborative work environment.
• The opportunity to work with a visionary founder and a team of experts in the field.
• Competitive compensation and equity options.
• The chance to be part of a company on the cutting edge of data management and authorization technology.
Don’t meet every single requirement listed above? That's okay. If you’re excited about this role and our mission, but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyway. You may be the right candidate for this or other roles at Codified.
We are an equal-opportunity employer and highly value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.