Senior Machine Learning Engineer

We are seeking an innovative and passionate machine learning expert who wants to push the boundaries of ML in microbiology. If you have a strong foundation in neural networks and a desire to see your work make a tangible impact, this role is for you. You’ll be at the forefront of designing and refining cutting-edge neural networks to advance real-time microbial analysis using our unique sub-pixel-sweeping microscopy system. Your contributions will help elevate our models—enhancing their accuracy, robustness, and scalability—to tackle complex and meaningful challenges in microbial growth monitoring.

Responsibilities:

• Architect, train, and evaluate neural networks for analysis of microbial colony growth.
• Analyze data quality, helping to clean data and champion workflow improvements that enhance the value of data produced by our in-house biology team.
• Collaborate with cross-functional teams, including software engineers, microbiologists, and hardware engineers, to integrate machine learning models into our data pipeline and proprietary imaging system.
• Analyze results and identify areas for improvement in model performance, working closely with our biology team to understand data nuances.
• Lead efforts in optimizing the training process, including data augmentation and preprocessing, to enhance model generalizability.
• Keep abreast of state-of-the-art machine learning advancements and bring relevant techniques into our system.

Qualifications:

• 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.
• Passion for working in a collaborative, interdisciplinary environment and applying machine learning to solve biological challenges.

Preferred Qualifications:

• Experience with biological data, especially time-lapse microscopy or microbial imaging.
• Familiarity with incubator workflows and microbial growth analysis.
• Understanding of embedded systems or edge computing.

About Mango:

Mango is a new type of microscope. Our innovative approach enables us to grow microbes and observe their growth in real time. Located in Los Angeles, our 15-person team combines expertise in business, mechanical engineering, bioengineering, and software development. We’ve honed our skills at various startups, including Snapchat, and now we’re focused on turning this groundbreaking idea into a practical tool for pharmaceutical manufacturing. If you’re looking for a challenge and want to contribute to a project that could change the way we view the microscopic world, we’d love to hear from you.

Employment Details:

• Salaried position, 40 hours per week, with flexible working hours.
• Onsite or hybrid: 3 days a week at our lab in Santa Monica, CA.