Machine Learning Engineer (Mid-Level)

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.