Machine Learning Engineer

Keystone Ridge Solutions; Riverside (CA); On-site; USD 95,000 - 133,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Work-from-home stipend

Professional development

Job summary

Keystone Ridge Solutions in Riverside, CA is seeking a full-time Machine Learning Engineer to build and deploy data-driven solutions for manufacturing, including predictive maintenance and quality control, leveraging Python and modern ML frameworks.

You will analyze data, collaborate with cross-functional teams, manage multiple projects, and contribute to a culture of innovation, growth, and high-quality results in a dynamic, supportive environment.

Qualifications

• Bachelor's degree in a relevant field (CS/Engineering)
• 3–5 years of industry experience in ML
• Strong background in machine learning methods and deployment

Responsibilities

• Develop and deploy machine learning models for manufacturing use-cases
• Analyze data and extract actionable insights
• Collaborate with cross-functional teams on predictive maintenance and quality control
• Deploy models and monitor performance over time

Skills

Machine learning

Data analysis

Python programming

Education

Bachelor's degree

Tools

TensorFlow

PyTorch

Asana

Trello

Microsoft Office Suite

Job description

Keystone Ridge Solutions, a Riverside, CA-based tech firm, seeks a full-time Machine Learning Engineer to develop and implement data-driven solutions for the manufacturing sector.

As a Machine Learning Engineer, you'll design and deploy machine learning models, analyze data, and collaborate with cross-functional teams on projects like predictive maintenance and quality control.

Join our dynamic team in Riverside, CA, where you'll work on diverse projects in a vibrant area, enjoying a great work-life balance and supportive environment.

The annual compensation for this role spans from $95,000 to $133,248, inclusive of a comprehensive benefits package that includes health insurance, retirement plans, and other perks. Employees are also provided with a work-from-home stipend and professional development opportunities. The role requires a bachelor's degree in a relevant field, typically 3-5 years of experience in the industry, and proficiency in software tools such as Microsoft Office Suite and project management platforms like Asana or Trello. The workplace is dynamic and collaborative, with a focus on teamwork and innovation. Employees are expected to manage multiple projects simultaneously, meet tight deadlines, and maintain high standards of quality in their work. The role offers a attractive compensation, growth opportunities, and a collaborative workplace.

To succeed, you should have a strong machine learning background, experience with Python and data analysis, a degree in computer science, engineering, or a related field, and familiarity with TensorFlow or PyTorch.

Develop and implement machine learning models, conduct data analysis, collaborate with cross-functional teams. Strong background in machine learning, experience in developing and deploying models, proficiency in Python, understanding of data analysis techniques, degree in computer science, engineering, or related field, familiarity with TensorFlow or PyTorch.