TL;DR

Senior Applied Scientist (AI, LLM): Developing and improving Large Language Models for Smart Home control and automation with an accent on inference and training techniques, and synthetic data generation. Focus on building robust, generalizable models and mentoring junior scientists.

Location: Must be based in the US (compensation reflects US geographic markets)

Salary: $150,400–$260,000/year

Company

%hirify_global% focuses on making Alexa the user interface for the home, evolving it into an intelligent, indispensable companion that automates daily routines and simplifies interaction with appliances.

What you will do

Develop new inference and training techniques to improve the performance of Large Language Models for Smart Home control and automation.
Develop robust techniques for synthetic data generation for training large models.
Maintain model generalization and improve overall model performance.
Mentor junior scientists to improve their skills and knowledge.

Requirements

3+ years of experience building machine learning models for business applications.
PhD, or Master's degree and 6+ years of applied research experience.
Experience programming in Java, C++, or Python.
Experience with neural deep learning methods and machine learning.
Must be based in the US.

Nice to have

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy.
Experience with large-scale distributed systems such as Hadoop, Spark.

Culture & Benefits

Work on a product your friends and family can relate to and use every day.
Collaborate with an interdisciplinary team of Scientists, Machine Learning Engineers, and Software Developers.
Benefit from an inclusive culture that empowers employees to deliver the best results.
Receive a total compensation package including equity, sign-on payments, and a full range of medical, financial, and other benefits.