Conviva is the Quality of Experience platform for AI agents and streaming. Real-time AI agent analytics reveal what customers experience and what drives outcomes. Backed by NEA.
About the role
We are looking for an AI/ML Engineer with strong machine learning fundamentals and hands-on experience in model development, training, and evaluation. In this role, you will work on challenging real-world problems across machine learning and AI, taking ideas from research and experimentation to practical solutions. You will own key parts of the ML development lifecycle, including data preparation, model design, training, evaluation, debugging, and iteration. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- PhD preferred in Computer Science, Machine Learning, Mathematics, Statistics, or a related quantitative field. Recent PhD graduates with strong research experience are encouraged to apply
- Strong foundation in machine learning, deep learning, probability, statistics, algorithms, and data structures
- Hands-on experience developing and training ML models through academic research or industry projects
- Experience with ML frameworks such as PyTorch or TensorFlow
- Solid understanding of the ML development lifecycle, including data preparation, model training, experimental design, evaluation methodology, and error analysis
- Strong programming skills in Python, C++, or another relevant programming language
More about this role
Conviva is the experience analytics platform for AI agents, apps, and streaming. Conviva pioneered quality of experience measurement for streaming video and has supported live digital experiences across 20 Super Bowls, 10 Olympic Games, and five FIFA World Cup tournaments. With full-census, real-time, stateful analytics, Conviva shows what consumers actually experience, not just whether systems are running, and connects that experience to revenue, retention, and risk.
We are looking for an AI/ML Engineer with strong machine learning fundamentals and hands-on experience in model development, training, and evaluation. In this role, you will work on challenging real-world problems across machine learning and AI, taking ideas from research and experimentation to practical solutions. You will own key parts of the ML development lifecycle, including data preparation, model design, training, evaluation, debugging, and iteration.
We are looking for someone who goes beyond implementing existing approaches—someone who can understand a problem deeply, evaluate alternative solutions, make informed technical decisions, and systematically investigate why a model succeeds or fails.
You will...
Browse similar: AI jobs · AI startup jobs · Startup jobs