Machine Learning Engineer - Health, 401(k), Tuition Support

Trinity North; San Diego (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

401(k) with employer match

Tuition reimbursement

Mentorship programs

Conferences and workshops

Job summary

Trinity North, a San Diego-based tech company, seeks a Machine Learning Engineer for a full-time role to design, develop, and deploy ML models for complex business problems.

The position emphasizes collaboration with data scientists and software engineers, data preprocessing, feature engineering, and model evaluation. A Master’s degree and experience with Python, TensorFlow, and PyTorch are required; AWS or GCP familiarity is a plus. Salary is negotiable.

Qualifications

• Master's degree or higher in CS, DS or a related field.
• Experience with Python, TensorFlow, PyTorch required.
• Knowledge of SQL and cloud platforms like AWS or GCP is a plus.
• Strong programming skills and ML algorithms understanding.

Responsibilities

• Develop and implement machine learning models to solve complex business problems.
• Collaborate with cross-functional teams to define project requirements and deliver high-quality solutions.
• Optimize machine learning algorithms for performance, scalability, and accuracy.
• Conduct thorough data analysis and feature engineering to improve model performance.
• Stay up-to-date with the latest ML trends and technologies.

Skills

Python

TensorFlow

PyTorch

SQL

Data analysis

Feature engineering

Machine learning

Education

Master's degree in Computer Science / Data Science or related field

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

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Trinity North, a San Diego-based tech company, seeks a Machine Learning Engineer for a full-time role to design, develop, and deploy ML models for complex business problems.

The position emphasizes collaboration with data scientists and software engineers, data preprocessing, feature engineering, and model evaluation. A Master’s degree and experience with Python, TensorFlow, and PyTorch are required; AWS or GCP familiarity is a plus. Salary is negotiable.