We are looking for a top-notch machine learning research engineer to help disrupt the manufacturing world with breakthrough deep reinforcement learning algorithms!
As a machine learning research engineer at our CTO office, you will:
Conduct long-term open-ended research that enhances and expands our deep reinforcement learning technology.
Solve unique challenges arising from the field, leveraging our core technology to develop and deploy tailored solutions to clients.
As a machine learning research engineer at our CTO office, you will:
Conduct long-term open-ended research that enhances and expands our deep reinforcement learning technology.
Solve unique challenges arising from the field, leveraging our core technology to develop and deploy tailored solutions to clients.
Requirements:
BSc in CS/EE/Math/Physics from a well-known university
At least 3-4 years of hands-on machine learning experience
Education in machine learning at the level of advanced academic courses
Practical experience with deep learning
Self-reliant, proactive, with strong motivation and an inquisitive mind
Advantage:
MSc in machine learning or related area
Experience with deep learning on time series data (Transformers / recurrent models)
Experience with training neural networks in cloud environments (GCP/AWS) and distributed systems
Experience/education in signal processing and/or control theory
Proven research background
Experience in leading projects and mentoring
BSc in CS/EE/Math/Physics from a well-known university
At least 3-4 years of hands-on machine learning experience
Education in machine learning at the level of advanced academic courses
Practical experience with deep learning
Self-reliant, proactive, with strong motivation and an inquisitive mind
Advantage:
MSc in machine learning or related area
Experience with deep learning on time series data (Transformers / recurrent models)
Experience with training neural networks in cloud environments (GCP/AWS) and distributed systems
Experience/education in signal processing and/or control theory
Proven research background
Experience in leading projects and mentoring
This position is open to all candidates.
