Machine Learning Engineer

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 tech company based in San Diego, CA, is seeking 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 23, 2026.

The Machine Learning Engineer will design, develop, and deploy machine learning models. This includes data preprocessing, feature engineering, model training, and evaluation. The role also involves collaborating with cross-functional teams to integrate machine learning solutions into existing systems.

The Machine Learning Engineer will work in a collaborative environment with a team of data scientists and software engineers. The office is located in San Diego, CA, known for its vibrant tech scene and beautiful weather.

The salary for this position is negotiable, taking into account the candidate's years of experience and relevant skills. In addition to the base salary, employees are eligible for comprehensive health insurance plans that cover medical, dental, and vision care. The company also offers retirement plans, such as a 401(k) with a generous employer match, to help employees save for their future. Furthermore, professional development opportunities are available, including tuition reimbursement for courses related to the job, mentorship programs, and access to industry conferences and workshops. These benefits aim to support employees’ overall well-being and career growth within the organization.

The candidate should have a Master's degree in Computer Science, Data Science, or a related field. Experience with Python, TensorFlow, and PyTorch is required. Knowledge of SQL and cloud platforms like AWS or GCP is a plus.

Develop and implement machine learning models to solve complex business problemsCollaborate with cross-functional teams to define project requirements and deliver high-quality solutionsOptimize machine learning algorithms for performance, scalability, and accuracyConduct thorough data analysis and feature engineering to improve model performanceStay up-to-date with the latest machine learning trends and technologiesBachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related fieldProven experience in machine learning, with a portfolio of successful projectsStrong programming skills in Python, R, or a similar languageExperience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learnUnderstanding of data visualization tools and techniques