Applied ML Engineer
Quartermaster8 months ago
Arlington, VA, USAMid Level / Senior
Responsibilities
- Design, train, and evaluate models for object detection, classification, and anomaly detection.
- Optimize model architectures and inference pipelines for embedded hardware.
- Contribute to dataset development and labeling strategies.
- Support prototyping and experimentation in various AI subfields.
- Implement real-time pipelines for processing sensor data.
- Develop tools for benchmarking, data visualization, and debugging.
- Stay current with the latest research in machine learning.
- Participate in code reviews and internal technical documentation.
Requirements
- Master’s or PhD in Computer Vision, Machine Learning, Robotics, or related field.
- 4+ years of experience in building and deploying machine learning models.
- Proficiency in Python and experience with PyTorch or TensorFlow.
- Comfortable working with various data types including images and time-series.
- Experience with edge or embedded ML deployments.
- Familiarity with ML practices like cross-validation and hyperparameter tuning.
- Excellent debugging and problem-solving skills.
- Strong collaboration and communication skills.
Benefits
- Flexible working hours with occasional high-availability deadlines.
- Opportunity to work on innovative projects with a global impact.