Machine Learning Engineer

Linden Prime LLC; Sacramento (CA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Flexible work arrangements

Remote work options

Career growth opportunities

Comprehensive health insurance

Retirement plan

Job summary

Linden Prime LLC, a Sacramento-based technology company, is hiring a Machine Learning Engineer for a full-time role. The position involves developing and deploying ML models, data preprocessing, feature engineering, and model evaluation, with collaboration across engineering and data science teams.

The salary is negotiable and benefits include comprehensive health insurance, retirement plan with employer contributions, and professional development opportunities.

Qualifications

• Master's degree in Computer Science, Data Science, or related field.
• 3+ years of experience in machine learning and data science.
• Experience with ML frameworks such as TensorFlow or PyTorch.
• Proficiency in Python and SQL; knowledge of statistical methods and data visualization tools.

Responsibilities

• Develop and implement machine learning models and algorithms to solve complex business problems.
• Design and optimize machine learning pipelines for efficient data processing.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Conduct data analysis and feature engineering to improve model performance.
• Monitor and maintain ML models to ensure ongoing effectiveness and accuracy.
• Stay up-to-date with advancements in ML/AI technologies.

Skills

Python

Data preprocessing

Model evaluation

Statistical methods

Data visualization

Education

Master's degree in Computer Science or related field

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field

Tools

TensorFlow

PyTorch

AWS

Google Cloud

Job description

Linden Prime LLC, a growing technology company in Sacramento, CA, seeks a Machine Learning Engineer for a FULL_TIME position. The role involves developing and implementing machine learning models to solve complex problems. The salary is negotiable, and the position is open until November 22, 2026.

As a Machine Learning Engineer, you will design, develop, and deploy machine learning models. You will also work on data preprocessing, feature engineering, and model evaluation. Additionally, you will collaborate with cross-functional teams to integrate machine learning solutions into existing systems.

You will work in a collaborative environment with a team of engineers and data scientists. The office is located in Sacramento, CA, and offers a dynamic and innovative workplace. The team is dedicated to pushing the boundaries of technology and innovation.

The salary for this position is negotiable, taking into account the candidate's years of experience and specific qualifications. This role offers a comprehensive benefits package, which includes comprehensive health insurance coverage, a retirement plan with employer contributions, and various professional development opportunities. Employees may also enjoy additional perks such as flexible work arrangements, which can include remote work options, and opportunities for career growth, which may involve promotions, leadership roles, or additional responsibilities within the company.

To be successful in this role, you must have a Master's degree in Computer Science, Data Science, or a related field. You should have experience with machine learning frameworks such as TensorFlow or PyTorch. Proficiency in Python and SQL is required, as well as knowledge of statistical methods and data visualization tools.

• Develop and implement machine learning models and algorithms to solve complex business problems
• Design and optimize machine learning pipelines to ensure efficient and accurate data processing
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Conduct data analysis and feature engineering to improve model performance
• Monitor and maintain machine learning models to ensure their continued effectiveness and accuracy
• Stay up-to-date with the latest advancements in machine learning and AI technologies
• Document and communicate technical findings and insights to stakeholders
• Participate in code reviews and contribute to the development of best practices and standards

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• 3+ years of experience in machine learning and data science
• Strong programming skills in Python
• Experience with machine learning frameworks such as TensorFlow or PyTorch
• Knowledge of data preprocessing, feature selection, and model evaluation techniques
• Experience with cloud platforms such as AWS or Google Cloud
• Ability to work independently and as part of a team
• Strong problem-solving and analytical skills
• Excellent communication and presentation skills