Machine Learning Engineer

Sterling Summit Inc. is hiring a Machine Learning Engineer in Seattle, WA. This full-time role involves creating and deploying machine learning solutions to boost business growth and innovation.

As a Machine Learning Engineer, you will be responsible for designing and implementing machine learning models, which may involve tasks such as data preprocessing, feature engineering, and model selection. You will also optimize algorithms to improve performance and efficiency, which could include techniques like hyperparameter tuning, model pruning, or using more efficient data structures. Additionally, you will collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to integrate machine learning into products.

This may involve understanding business requirements, translating them into technical specifications, and ensuring that the machine learning models meet the desired performance metrics. Furthermore, you may be involved in deploying and monitoring machine learning models in production environments, which could include tasks like setting up CI/CD pipelines, logging model performance, and implementing feedback loops to continuously improve the models.

You will work in a collaborative environment with the Sterling Summit Inc. team in Seattle, WA. The company is known for its innovative approach to technology and data analytics.

The annual salary range for this position is between $95,000 and $136,749, providing a competitive compensation package.

• In addition to the base salary, employees are eligible for comprehensive health insurance coverage, which includes medical, dental, and vision plans.
• The company also offers a retirement plan with a generous employer match, allowing employees to save for their future.
• Furthermore, professional development opportunities are available, such as tuition reimbursement, workshops, and access to online learning platforms, ensuring employees can enhance their skills and advance their careers.

To be successful, you should have a Master's degree in Computer Science, Machine Learning, or a related field. Experience with Python, Tensor Flow, and scikit-learn is required.