Machine Learning Engineer

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

Benefits offered by this job

Health insurance

Retirement plan with employer matching

Tuition reimbursement

Professional development opportunities

Job summary

Birch East Solutions in San Diego is seeking a Machine Learning Engineer to develop and deploy scalable ML models that solve real business challenges. You will collaborate with cross-functional teams to integrate ML solutions into existing systems and drive data-driven decisions.

The ideal candidate has a Master's degree in Computer Science or a related field, 3+ years of ML experience, and strong Python and TensorFlow skills, with familiarity in PyTorch or Scikit-learn.

Qualifications

• Master's degree in CS, ML or related field.
• 3+ years of ML experience.
• Strong Python and ML library knowledge.
• Experience with cloud platforms (AWS or GCP).

Responsibilities

• Design and implement ML models for business problems.
• Collaborate with cross-functional teams to translate needs into technical requirements.
• Deploy models to production environments and monitor performance.
• Stay updated with latest ML/AI advancements.
• Provide actionable insights to guide business decisions.

Skills

ML experience

Python programming

Cross-functional collaboration

Education

Master's degree in Computer Science / ML

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Job description

Birch East Solutions, a leading technology firm, is seeking a Machine Learning Engineer in San Diego, CA. This full-time position offers a negotiable salary and is open until November 22, 2026.

As a Machine Learning Engineer, you will develop and implement machine learning models to solve complex business problems. You will also collaborate with cross-functional teams to integrate machine learning solutions into existing systems.

You will collaborate with a diverse group of professionals in a fast-paced setting at our San Diego office. This role demands a comprehensive grasp of machine learning algorithms, along with practical experience in Python and TensorFlow. You'll be responsible for developing and implementing machine learning models, interpreting complex data, and providing actionable insights to drive business decisions. The position requires a proactive approach, strong problem-solving skills, and the ability to work effectively under pressure. You'll have the opportunity to contribute to a variety of projects, utilizing your expertise to solve real-world problems and advance the field of machine learning.

The salary for this position is negotiable, reflecting the candidate's qualifications, experience, and the specific responsibilities of the role.

Benefits

• In addition to the competitive base salary, the company offers comprehensive benefits, including health insurance that covers a wide range of medical services, retirement plans with employer matching contributions, and professional development opportunities such as tuition reimbursement, workshops, and access to online learning platforms.

To be successful in this role, you must have a Master's degree in Computer Science, Machine Learning, or a related field. You should also have at least 3 years of experience in machine learning and a strong background in Python and TensorFlow.

Responsibilities

• Design and develop machine learning models to improve data-driven decision making
• Collaborate with cross-functional teams to understand business needs and translate them into technical requirements
• Implement and deploy machine learning models in production environments
• Monitor model performance and make data-driven improvements
• Stay up-to-date with the latest advancements in machine learning and AI technologies

Qualifications & Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• 3+ years of experience in machine learning and AI development
• Strong programming skills in Python and familiarity with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn
• Experience with cloud platforms such as AWS or GCP
• Excellent communication and teamwork skills