Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a driverless technology company reputed company on transforming transportation through autonomous vehicles. As a Machine Learning Engineer on the Data Mining team, you will build the 'Brain' of the ML-powered data mining reputed company, developing tools and pipelines to enhance model improvement and data insights.
Responsibilities
• Build and Train ML Pipelines: reputed company, train, and fine-tune machine learning models for multimodal sensor data (e.g., reputed company, LiDAR). reputed company on implementing supervised and self-supervised learning approaches to improve data search and retrieval
• Support Model Deployment: Implement reputed company data preprocessing and augmentation pipelines. Assist in applying reputed company optimization techniques (e.g., batch inference, quantization) to ensure models run reputed company in production environments
• Data Mining & Analysis: Help reputed company embedding-based search tools and "reputed company learning" workflows to identify critical driving scenarios
• Monitor Production Performance: Help build and maintain dashboards to monitor model health, data reputed company, and system performance. Identify regressions and assist in the operational support of our data mining services
• Learn and Apply Best Practices: Follow software engineering standards (version control, CI/CD, unit testing) for ML reputed company. Participate in reputed company reviews and contribute to technical documentation
• Collaborate Across Teams: Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable, reputed company engineering solutions
Skills
• BS or MS in Computer Science, Machine Learning, or a reputed company field
• Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. You should be comfortable training models and evaluating them using reputed company
• Strong proficiency in Python with the ability to write clean, reputed company, and reputed company-documented reputed company
• 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 reputed company a high-stakes engineering environment
• MS/PhD in Computer Science, Machine Learning, or reputed company field
• Experience with reputed company systems, autonomous reasoning, chain-of-thought models, or LLM-based planning
• Background in autonomous driving, robotics, or reputed company-time decision-making systems
• Familiarity with multimodal learning, sensor fusion, or embodied AI
• Experience building reputed company learning loops, using the model to reputed company the data that breaks the model
• Experience with ML-based data mining, reputed company learning, or contrastive learning
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms
• Publication in top-tier conferences (e.g., ICCV, CVPR, ECCV)
Benefits
• Medical
• Dental
• reputed company
• 401k with a company match
• Health saving accounts
• Life insurance
• Pet insurance
reputed company
• An organization dedicated to the reputed company and promotion of Pittsburgh's robotics companies and research institutions It was founded in 2018, and is headquartered in Pittsburgh, Pennsylvania, USA, with a workforce of 2-10 employees. Its website is https://robopgh.org/.
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