Machine Learning Engineer (Mid-Level)

Job Description

Job Description

About the Role

As a Machine Learning Engineer, you'll build and deploy production machine learning systems for an AI-powered recruiting platform. You'll work across the ML lifecycle, partnering with product and engineering to turn business needs into reliable models and features.

What You'll Do

• Design, train, and evaluate machine learning models for production use cases.

• Build end-to-end ML pipelines, from data preprocessing through model serving and monitoring.

• Collaborate with product and engineering teams to develop ML solutions for business needs.

• Monitor, debug, and optimize production model performance using real-world feedback.

• Write maintainable code and contribute to ML infrastructure and tooling.

• Participate in code reviews and share knowledge with teammates.

What We're Looking For

• At least 3 years of professional experience in machine learning or software engineering, including hands-on production ML work and employment after graduation.

• A completed degree and experience in a substantive ML role at a product company or startup.

• Strong ML fundamentals, including model selection, evaluation, feature engineering, and validation.

• Proficiency in Python and practical experience with TensorFlow, PyTorch, or scikit-learn.

• Experience building and maintaining production ML pipelines, including preprocessing, serving, and monitoring.

• Familiarity with MLOps and cloud tools such as AWS SageMaker, GCP Vertex AI, Kubernetes, or Docker.

• Experience with production A/B testing or experimentation, and comfort working in fast-moving environments.

Compensation & Benefits

Salary starts at $140,000 USD annually. Equity and visa sponsorship details were not provided.

Location

On-site in San Francisco, California, United States.