Senior Machine Learning Engineer
3 days ago
We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Mango, Inc. As a key member of our interdisciplinary team, you will be responsible for architecting, training, and evaluating neural networks for analysis of microbial colony growth.
Our ideal candidate will have a strong background in machine learning, computer vision, and convolutional neural networks, with a passion for working in a collaborative environment and applying machine learning to solve biological challenges.
Key Responsibilities- Architect and train neural networks for microbial colony growth analysis
- Analyze data quality and champion workflow improvements to enhance data value
- Collaborate with cross-functional teams to integrate machine learning models into our data pipeline and proprietary imaging system
- Analyze results and identify areas of improvement for model performance
- Optimize training process, including data augmentation and preprocessing, to enhance model generalizability
- Stay up-to-date with state-of-the-art machine learning advancements and bring relevant techniques into our system
- 5+ years of experience in machine learning, with a focus on computer vision and convolutional neural networks
- Proficiency in Python and experience with PyTorch
- Strong ML intuitions and familiarity with common techniques and architectures
- Background in image processing, ideally with experience in microscopy or other scientific imaging
- Experience in developing models for noisy or complex real-world data
Mango, Inc. is a innovative company located in Los Angeles, with a team of 15 experts in business, mechanical engineering, bioengineering, and software development. We have honed our skills at various startups, including Snapchat, and are now focused on turning our groundbreaking idea into a practical tool for pharmaceutical manufacturing.
If you are looking for a challenge and want to contribute to a project that could change the way we view the microscopic world, we would love to hear from you.
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