ML Engineer: Build Cutting-Edge Models & Pipelines

GetJobSmart; Las Vegas (NV); Presencial; USD 120 000 - 160 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Retirement plan

Tuition reimbursement

Professional development

Resumo da oferta

Redwood Advanced Inc. in Las Vegas, NV is seeking a Machine Learning Engineer for a full-time on-site role. You will develop, implement, and maintain ML models and collaborate with cross-functional teams to deliver high-quality solutions.

The position requires a Master's degree in a related field and strong experience with Python and ML libraries (TensorFlow, PyTorch, scikit-learn). A culture of continuous learning and professional growth is emphasized.

Qualificações

• Master's degree required in CS/EE or related field.
• Strong experience with ML model development and deployment.
• Proficient in Python and ML libraries.

Responsabilidades

• Develop and implement ML models and algorithms to solve business problems.
• Design and optimize ML pipelines for data processing and training.
• Collaborate with data scientists, software engineers, and PMs to deliver solutions.
• Validate models to ensure accuracy and reliability.
• Stay updated with ML advancements and apply them to improve solutions.
• Document models and processes for knowledge sharing.

Conhecimentos

Python programming

Data preprocessing

Feature engineering

Model evaluation

Communication skills

Formação académica

MS in Computer Science

MS in Electrical Engineering

BS in Computer Science / Statistics / Mathematics

Ferramentas

TensorFlow

PyTorch

scikit-learn

Git

Descrição da oferta de emprego

Redwood Advanced Inc. in Las Vegas, NV is seeking a Machine Learning Engineer for a full-time on-site role. You will develop, implement, and maintain ML models and collaborate with cross-functional teams to deliver high-quality solutions.

The position requires a Master's degree in a related field and strong experience with Python and ML libraries (TensorFlow, PyTorch, scikit-learn). A culture of continuous learning and professional growth is emphasized.