Machine Learning Engineer

Responsibilities

• Collaborate with cross-functional teams, including the product manager, software developers, and domain experts. - Research and experiment with state-of-the-art tools and techniques in Machine Learning. - Document processes, pipelines, and model performance thoroughly. ## Experience

• Master’s or Bachelor's degree in Computer Science, Mathematics, IT, or a related field. - 5+ years of experience as a Computer Vision Engineer. - 10+ years in software development and machine learning. - Strong knowledge of machine learning concepts and algorithms. - Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch. - Solid understanding of data preprocessing, feature engineering, and model evaluation techniques. - Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO). - Familiarity with predictive analytics tools. - Knowledge of cloud platforms (AWS) for deploying and managing machine learning models. - Experience with MLOps practices. - Proficiency in spoken and written English. ##

Benefits and Perks

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more! - Options for medical, dental, and vision coverage for employees and dependents (for US employees)

• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)
• 401(k) with 3% company matching
• Unlimited PTO
• Profit sharing

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