Full-Stack Engineer

Responsibilities

• Backend Development: Design, implement, and optimize backend systems at scale.
• Infrastructure & Deployment: Set up servers, cloud resources, and projects from scratch, ensuring scalability and cost efficiency.
• Production Reliability: Monitor and respond to production issues, proactively improving system resilience.
• Optimization & Performance Tuning: Reduce cloud and compute costs by optimizing resources.
• Technical Flexibility: Adapt to different project needs, integrating new technologies as required.
• Collaboration: Work closely with data engineers, analysts, and other stakeholders to ensure robust backend solutions.

Required Qualifications

• 2-5 years of relevant experience.
• Bachelor’s degree in Computer Science or a related field.
• Experience working with major cloud platforms and data pipeline best practices, GCP preferred.
• Proficiency in Python and its data-related libraries (Pandas, NumPy, SciPy).
• Familiarity with the use of NLP to set up experiments, however deep understanding of how these models work is not required.
• Experience with version control using Git.
• Strong attention to processing integrity and accuracy.
• Excellent communication skills.
• Effective problem-solving abilities using best practices in product testing.
• Demonstrated ability to work independently and collaboratively.
• High attention to detail, particularly with data security best practices.

Compensation and Benefits

• Salary range: $80,000 - $125,000, based on qualifications.
• Potential to earn Company Equity.
• In-Person location in San Francisco Bay Area
• Travel expenses to company workshops in Los Angeles covered for those within a certain distance.

Application Process

We are looking for a talented Full Stack Engineer who is ready to join our team immediately and build cutting-edge AI solutions. If this sounds like you, we encourage you to apply! Upon submission of your application, we will review it and invite you to our first Technical Screening if appropriate. The selection process includes a technical assessment before a final interview.