Machine Learning Engineer (Mid-Level)
CleraAbout 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.
Responsibilities
- 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.
Requirements
- 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: $140,000 USD annually
Other: Equity and visa sponsorship details were not provided.
Location
On-site in San Francisco, California, United States.
About Clera
Clera is an AI-powered talent-matching service that connects candidates with startup hiring managers based on skills, career goals, preferences, and dealbreakers. It provides personalized introductions, curated job opportunities, and guidance throughout the application and interview process, operating as an alternative to traditional job boards.
Interested in this role?
Apply now to join Clera.