Machine Learning Engineer, Data Mining

🔥 0 minutes ago

🔔 Pennsylvania – Remote

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💵 $144k - $192k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Logo of Motional

Motional

1001 - 5000 employees

Founded 2020

🚗 Transport

🤖 Artificial Intelligence

Transport • Artificial Intelligence • Automotive

Motional is a leading company in the development of autonomous vehicles, focusing on making driverless transportation a safe, reliable, and accessible reality. A joint venture between Hyundai Motor Group and Aptiv, Motional has been at the forefront of driverless technology for decades, creating SAE Level 4 autonomous vehicles for ride-hail and delivery services. The company emphasizes safety and innovation, leveraging advanced machine learning and automotive technology to build fully driverless vehicles that integrate smoothly into mobility networks, providing an enjoyable experience for daily transportation and deliveries.

📋 Description

• Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR). • Implement scalable data preprocessing and augmentation pipelines. • Help develop embedding-based search tools and 'active learning' workflows. • Help build and maintain dashboards to monitor model health, data drift, and system performance. • Follow software engineering standards for ML code and participate in code reviews. • Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable engineering solutions.

🎯 Requirements

• BS or MS in Computer Science, Machine Learning, or a related field. • Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. • Strong proficiency in Python with the ability to write clean, modular, and well-documented code. • Working knowledge of version control, unit testing, and basic software design patterns. • Experience working with large datasets, including proficiency in SQL and data libraries like Pandas and NumPy. • A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation and deployment basics. • A proactive learner who thrives on constructive feedback and is eager to grow within a high-stakes engineering environment.

🏖️ Benefits

• Medical • Dental • Vision • 401k with a company match • Health saving accounts • Life insurance • Pet insurance

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