Hadrian Automation - Machine Learning Engineer
Requirements
• Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience • 5+ years of experience in Computer Vision and/or Machine Learning, including ownership of projects throughout the entire ML Lifecycle • Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc.) • What sets you apart: • A Master’s Degree in Computer Science with focus in Artificial Intelligence or Machine Learning • Demonstrated experience with detection/segmentation models and achieving high performance results - including exploratory analysis, model selection, and hyperparameter tuning • Previously worked in aerospace, defense, or manufacturing, and have experience working 3D/CAD/CAM data for manufacturing applications • Strong software engineering skills and prior web development experience using Javascript/TypeScript or Python, and familiarity with FastAPI or Express frameworks • Prior experience with distributed training using cloud infrastructure • Prior experience with visual document understanding and layout analysis • Published research or achieved SOA results on an ML application • Prior experience with multi-modal deep learning models • You have a passion for manufacturing and believe that the industry needs better software • Prior experience working in a startup environment • To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
Responsibilities
• Research, develop and deploy cutting-edge deep learning models, including OCR, vision-language, and detection models for document understanding and layout analysis • Contribute to the ongoing development and refinement of current models in close collaboration within the engineering team and end users • Work in every facet of the Machine Learning lifecycle - including the creation and optimization of production data pipelines, and software systems for training, inference, labeling, and evaluation • Judiciously combine open-source solutions and novel research to create world-class vision systems for manufacturing applications
Benefits
• For this role, the target salary range is $160,000 - $250,000 (actual range may vary based on experience). • This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. • Medical, dental, vision, and life insurance plans for employees • Relocation stipend if you’re moving from outside of the area • Flexible vacation policy
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