Principal Applied Scientist, AI Engineering

At ASAPP, we are on a mission to build transformative AI-powered products that push the boundaries of artificial intelligence and customer experience. We focus on solving complex, data-rich problems — the kind where there are huge systemic inefficiencies and where a real solution will have a significant economic impact. Our CX performance platform uses machine learning across both voice and digital engagement channels to augment and automate human work, radically increasing productivity and improving the efficiency and effectiveness of customer experience teams.ASAPP’s AI Engineering team is seeking an enterprising, talented and curious applied scientist to help lead major technical initiatives and explorations. This role will be focused on building our products, being a technical leader for teams who are architecting and engineering systems, and straddling between engineering and research to bring in innovations.Candidates should have demonstrated skill in architecting and creating scalable production-grade products that are built around LLMs, with intimate knowledge of technical details from data pipelines to modeling and the design of features that leverage model capabilities. Candidates will be expected to regularly interface with Research teams and should be comfortable charting out research roadmaps and brainstorming ideas. Additionally, candidates should be comfortable providing technical leadership, mentoring for junior engineers and would be expected to be hands-on in the development process.

What you'll do

• Play a major role in building products leveraging the latest innovations around LLMs
• Work closely with teams across ASAPP, including Product, Research and Platform / Infrastructure
• Keep up with, apply and possibly contribute to the latest innovations from the NLP community that could impact our product

What you'll need

• Strong architectural skills, with proven experience designing complex software systems
• Strong engineering skills, with at least an intermediate level skill in Python
• Demonstrated ability in leading technical teams
• 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
• Experience working in Research and/or bringing cutting-edge innovation to production
• A Master’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

What we'd like to see

• A Doctoral degree with a record of publishing in the NLP space
• Knowledge of additional languages such as SQL, Go, and Javascript 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