Staff Software Engineer, Machine Learning

Summary

Join ASAPP, a company focused on delivering the best AI-powered customer experience, and work in a fast-paced environment with skilled teams. Develop product features to improve performance, design pipelines for fine-tuning LLMs, and implement end-to-end product capabilities. Drive A/B tests to continuously improve features and ML capabilities. Collaborate with other teams to support production needs for ML services and stay updated on AI/ML advancements. The ideal candidate possesses strong architectural and engineering skills, experience with production ML models, and a Bachelor's degree in STEM or equivalent experience. ASAPP offers competitive compensation, stock options, and various benefits.

Requirements

• Strong architectural skills, with proven experience designing complex software systems
• Strong engineering skills, with at least an intermediate level skill in Python
• Experience implementing technical solutions, tackling tough engineering problems to help build our products
• Experience building and deploying production ML models to solve real-world problems
• A Bachelor’s Degree in a field of science, technology, engineering or math, or equivalent hands-on experience
• Desire to learn new things, work closely with peers from different teams, and open to teach and learn from others

Responsibilities

• Develop product features that can improve performance via feedback loops
• Design pipelines for fine-tuning LLMs
• Design and implement end-to-end product capabilities, including frontend and backend components
• Drive a/b tests to iterate and improve product features and ML capabilities continuously
• Work with our Platform, SRE and Data Infrastructure teams to support production needs for ML services
• Follow advancements in AI and ML, and participate in discussions about them with the ML and research teams

Preferred Qualifications

• Experience working on AWS and familiarity with CI / CD tools
• Experience with Athena, Kafka and a strong background in databases
• Experience managing software infrastructure for engineering teams
• Knowledge of additional languages such as SQL, Go, Javascript, or Typescript are not necessary but will help you work in cross-functional teams

Benefits

• Competitive compensation
• Stock options
• Prudent Life Insurance
• Onsite lunch & dinner stipend
• Connectivity (mobile phone & internet) stipend
• Wellness perks
• Mac equipment
• Learning & development stipend
• Parental leave, including 6 weeks paternity leave