Machine Learning Engineer

Northwind Summit Solutions; San Francisco (CA); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development opportunities

Job summary

Northwind Summit Solutions in San Francisco, CA is seeking a Machine Learning Engineer to design, develop, and deploy ML models that tackle real business problems. You will work with data scientists, software engineers, and product managers to translate requirements into scalable, production-ready solutions.

The role emphasizes staying current with ML/AI advances, mentoring junior teammates, and delivering high-quality, innovative products in a modern office environment.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 3-5 years of experience in machine learning engineering.
• Strong programming skills in Python, R, or Java.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Knowledge of cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with SQL and NoSQL databases.

Responsibilities

• Design, develop, and deploy machine learning models to solve business problems.
• Collaborate with data scientists, software engineers, and product managers to translate requirements into solutions.
• Optimize machine learning models for performance and scalability.
• Monitor and maintain models in production environments.
• Stay up-to-date with advances in ML/AI and mentor juniors.

Skills

3-5 years ML experience

Python/Java/R

Education

Bachelor's in CS/Statistics/Math or related

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Google Cloud

Azure

SQL

NoSQL

Job description

Northwind Summit Solutions, a company of innovative technology solutions, seeks a Machine Learning Engineer in San Francisco, CA. This full-time position offers a negotiable salary and is open until November 22, 2026.

In this role, you will develop and implement machine learning models, solve complex business problems, and work on cutting-edge projects. You will also deploy algorithms in production environments.

You will join a team dedicated to delivering high-quality, scalable solutions that drive business growth and efficiency. This dynamic team consists of software engineers, product managers, and designers who collaborate closely to create innovative products. The workplace is in San Francisco, CA, a vibrant city known for its technological innovation and diverse culture. You'll have the opportunity to work in a modern office environment equipped with state-of-the-art technology, fostering a productive and creative atmosphere. The team thrives on open communication, continuous learning, and a shared commitment to excellence.

The salary for this position is negotiable, allowing for a discussion between the employer and the candidate to reach a mutually beneficial agreement. In addition to the base salary, the company offers a comprehensive benefits package that includes health insurance to cover medical expenses, retirement plans to help employees save for their future, and professional development opportunities to enhance skills and advance within the organization. These benefits are designed to support the overall well-being and career growth of the employees.

• Health insurance to cover medical expenses
• Retirement plans to help employees save for their future
• Professional development opportunities to enhance skills and advance within the organization

You must have a degree in Computer Science, Engineering, or a related field. Experience with machine learning frameworks like TensorFlow or PyTorch is required. Knowledge of cloud platforms such as AWS or GCP is preferred.

What You Will Do:

• Design, develop, and deploy machine learning models to solve business problems.
• Collaborate with data scientists, software engineers, and product managers to understand business requirements and translate them into technical solutions.
• Optimize machine learning models for performance, scalability, and accuracy.
• Monitor and maintain machine learning models in production environments.
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
• Mentor and train junior team members on machine learning best practices.

What You Bring:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 3-5 years of experience in machine learning engineering.
• Strong programming skills in Python, R, or Java.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Knowledge of cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with SQL and NoSQL databases.