Machine Learning Engineer

Beacon West Inc.; San Diego (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Professional development

Job summary

Beacon West Inc. in San Diego, CA is seeking a Machine Learning Engineer to design, train, and deploy machine learning models for complex business problems.

You will collaborate with cross-functional teams to translate requirements into scalable ML solutions and deploy them on cloud platforms. The ideal candidate has a Master's in CS/ML, 3–5 years of ML and software experience, and proficiency in Python, TensorFlow, and scikit-learn.

Qualifications

• Master's degree in Computer Science, Machine Learning, or related field.
• Experience with Python, TensorFlow, and scikit-learn is required.
• Strong problem-solving skills and a passion for technology.
• 3–5 years of experience in machine learning and software development.

Responsibilities

• Develop and implement machine learning models to solve complex business problems.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Design, train, and deploy scalable machine learning systems using cloud platforms.
• Conduct extensive data analysis to identify trends and patterns that inform business decisions.
• Optimize machine learning models to improve performance and reduce costs.

Skills

Problem solving

Cross-functional collaboration

Cloud-based ML systems

Education

Master's degree in Computer Science or Machine Learning

Bachelor's degree in Computer Science/Engineering/Mathematics

Tools

TensorFlow

scikit-learn

PyTorch

Job description

Beacon West Inc. seeks a Machine Learning Engineer for its San Diego, CA office. This full-time role involves developing and implementing machine learning models to solve complex problems. The position offers a negotiable salary and benefits, with the job open until November 23, 2026.

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

The team operates in a collaborative environment, fostering innovation and growth. Located in San Diego, CA, the office provides a supportive and dynamic workplace. The company values a diverse and inclusive culture, promoting work-life balance.

The salary for this position is negotiable and will be determined based on the candidate's level of experience and qualifications. In addition to the competitive base salary, the company offers a comprehensive benefits package designed to support the overall well-being of its employees. This package includes comprehensive health insurance coverage, which helps employees and their families manage healthcare costs. The company also provides retirement plans, such as a 401(k) or pension scheme, to help employees save and plan for their future. Furthermore, the role offers opportunities for professional development, including access to training programs, workshops, and certifications that can enhance the employee's skills and advance their career. The company is committed to fostering a healthy and supportive work environment, which is reflected in the range of benefits provided.

Candidates must have a Master's degree in Computer Science, Machine Learning, or a related field. Experience with Python, TensorFlow, and scikit-learn is required. Strong problem-solving skills and a passion for technology are essential.

• Develop and implement machine learning models to solve complex business problems.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Design, train, and deploy scalable machine learning systems using cloud platforms.
• Conduct extensive data analysis to identify trends and patterns that can inform business decisions.
• Optimize machine learning models to improve performance and reduce costs.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
• 3-5 years of experience in machine learning and software development.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of statistical methods and data analysis techniques.