Stanford, California
Background:
Qylur intelligent systems is a deep tech intelligent machines company at the forefront of autonomous AI driven systems that serve both the defense and commercial markets.
We are actively searching for a talented and experienced Machine Learning (ML) Engineer with a passion for contributing to serving public security and defense needsto join our team.
As a Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products.
Your responsibilities will involve designing and constructing sophisticated machine learning models, as well as refining and updating existing systems
In order to thrive in this position, you must possess exceptional skills in mathematics, statistics and programming, as well as a deep understanding of data science and software engineering principles.
Your ultimate objective will be to create highly efficient self-learning applications that can adapt and evolve over time, pushing the boundaries of AI technology. Join us and be at the forefront of innovation in the field of machine learning.
Responsibilities
• Study and transform data science prototypes.
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools.
• Develop machine learning applications according to requirements.
• Select appropriate datasets and data representation methods.
• Run machine learning tests and experiments.
• Perform statistical analysis and fine-tuning using test results.
• Train and retrain systems when necessary.
• Extend existing ML libraries and frameworks.
• Keep abreast of developments in the field.
Must Have Requirements and Skills
• BS in Computer Science, Mathematics or similar field; Master’s degree is a plus, Dual major a plus
• Proven experience in a Machine Learning Engineering or role
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math specifically algebra and calculusprobability, statistics and algorithms
• Ability to write robust code in Python.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Outstanding analytical and problem-solving skills
• Excellent communication skills
• Ability to work in a team.
• Must be a US citizen.
• Must be already located in the San Francisco Bay Area
• At least 5 years of experience working as a machine learning engineer.
• At least 2 years of ML experience with multi-sensor devices in the Aerospace Tech or autonomous vehicles industries.
• Have worked on DoD/ Defense related projects.
• The position is an on site position.
Please do not message this poster about other commercial services.
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