Ampsight is seeking a talented and experienced Machine Learning Scientist to join our innovative team. The ideal candidate will be passionate about leveraging machine learning algorithms and techniques to solve complex problems and contribute to cutting-edge projects. As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models and systems to enhance our products and services.
Responsibilities
Machine Learning Scientist (Remote)
Job Description
Build a corporate machine learning, computer vision, and artificial intelligence capability, solving customer analytical problems by developing algorithms and models, validating models, and deploying software analytical solutions into mission ready production environments, communicating an AMPSIGHT machine learning vision to customers, and assisting in building an AI/machine learning business practice.
Position requires skills with the following which may be gained through experience or education in degree granting programs (including projects, papers, internships, practical training experiences or similar):
- Using PyTorch to train machine learning models.
- Using AWS, Docker, and Argo Workflows to create and manage geospatial machine learning operations (MLOps) pipelines.
- Conducting machine learning literature reviews and research on state-of-the-art computer vision algorithms.
- Building the machine learning backend for a MLOps platform.
- Developing object detection architectures for geospatial imagery.
- Using docker to deploy machine learning models into cloud data pipelines for real-world inference.
- Writing machine learning documentation, proposals, and white papers.
- Master’s degree in data science, or related field; foreign equivalents accepted.
- Stock options, our success is your success
- Discretionary performance-based bonus(es)
- 10 paid holidays and 1 floating holiday per year
- 20 days PTO per year
- 401k plan with 4% match (assuming 5% employee contribution)
- Health care, dental, and vision with company contribution
- Short and long-term disability
- Life insurance
- Hybrid work model
