Own projects end-to-end from initial idea to design, analysis, and implementation.
Collect, analyze and visualize data from various sources to formulate and test hypotheses.
Design and implement ML systems from training data composition to hyperparameter tuning to post-deployment monitoring and optimizations.
Understand and build upon latest technologies such as Gemini foundational models using distillation and fine-tuning.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in C++ or Python.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience specializing in a machine learning field (e.g., foundational models, ML infrastructure, reinforcement learning, or similar areas).
3 years of experience with end-to-end machine learning (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications
PhD (or industry research experience) in ML, AI or related technical fields.
Experience in full-cycle development and productionization of machine learning systems.
Experience in distilling and deploying production-grade LLMs.
Experience programming in Kotlin.
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in C++ or Python.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience specializing in a machine learning field (e.g., foundational models, ML infrastructure, reinforcement learning, or similar areas).
3 years of experience with end-to-end machine learning (e.g., model deployment, model evaluation, optimization, data processing, debugging).
