Senior Machine Learning Engineer
Collectors
full-time
Posted on:
Location Type: Remote
Location: California • United States
Visit company websiteExplore more
Job Level
Tech Stack
About the role
- Design, develop, and deploy machine learning and deep learning models for classification, regression, computer vision, and NLP/LLM use cases
- Lead end-to-end ML projects, including data collection, labeling strategies, feature engineering, model training, evaluation, deployment, and iteration
- Build and productionize scalable ML pipelines for training and inference
- Perform hyperparameter optimization, model selection, and performance tuning across large-scale datasets
- Implement production ready pipelines for ML prediction and training
Requirements
- Bachelor's degree in computer science, data science, mathematics, or a related field (Master's degree is a plus)
- 5+ years of dedicated experience as a Machine Learning Engineer or similar role
- Extensive knowledge of ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Familiarity with open-source models and ecosystems (e.g., Hugging Face)
- Ability to write production-quality, maintainable code and follow strong software engineering best practices in Python (experience with Go is a plus)
- Experience building computer vision, image recognition, and NLP models using state-of-the-art deep learning architectures
Benefits
- Health insurance
- Paid time off
- Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdeep learningclassificationregressioncomputer visionnatural language processingfeature engineeringhyperparameter optimizationmodel trainingmodel evaluation
Soft skills
leadershipproject managementcommunicationproblem-solvingcollaboration
Certifications
Bachelor's degreeMaster's degree