This is a diverse role that includes :
- Supporting ongoing development of our tools and systems for processing of feedback
- Designing implementing and evaluating algorithms and models to enhance the performance and capabilities of our systems.
- Directly contacting external customers internal program management and engineering teams
- Monitoring pre and post-release public feedback to identify customer critical issues the field
- Reporting on progress of seeding programs assessment of incoming feedback and other project status
- Investigating issues reported by our outside users through test reproduction debugging and diagnostics analysis
- Reviewing bugs and working with engineering teams to isolate and appropriately prioritize response
- Identifying trends and insights from large and complex data
- BS / MS in Computer Science or related experience
- Industry experience in software engineering data engineering or similar
- Strong fundamentals in problem solving algorithm design and model building
- Ability to debug hard problems and investigate root cause analysis
- Hands-on experience with generative AI and LLMs
- Excellent interpersonal verbal and written communication skills
- Strong software development skills with proficiency in Python
- Proven experience in LMM development fine-tuning and application building
- Real passion for user-focused design & high quality technology
Key Skills
Spring,.NET,C / C++,Go,React,OOP,C#,Data Structures,JavaScript,Software Development,Java,Distributed Systems
Employment Type : Full-Time
Experience : years
Vacancy : 1