P-1630 Computational Biologist - Image Analysis

Machine Learning Engineer - Image Processing and Computer Vision

10x is looking for a machine learning engineer to join its Computational Biology group. This person will use their experience training, evaluating, and deploying production machine learning algorithms for computer vision to help build a robust development environment for deep learning at 10X.  The ideal candidate will have experience with tools for model management and training, as well as experience developing and deploying deep neural network models in a production environment.

Individuals applying for this position must be self-starters, strategic thinkers, action driven, flexible in changing direction and methods, thrive in a fast paced environment, excel at managing multiple priorities, succeed in communicating with all levels within the organization and provide immediate contribution.

What you will be doing:

• Select and implement methods and techniques for model versioning, training, and deployment.

• Select, test, implement and optimize image processing, image analysis, and machine learning methods to extract relevant signals from imaging data.
• Build analytical models or simulations to understand and communicate key trade-offs of system design from image acquisition to final analysis.
• Rapidly prototype methods for internal experiments & early R&D.
• Create high-quality, robust implementations of production algorithms.

Minimum Qualifications:

• PhD or MS plus equivalent experience in quantitative field (e.g. bioengineering, computer science, electrical engineering, physics, computational/systems biology or related field)
• Deep learning skills - experience with model management and training systems and experience deploying deep learning algorithms in the field
• Image processing: segmentation, object detection & classification, feature extraction, image registration - you have a deep understanding of both historical and cutting edge methods and the ability to choose the right tool for the job
• Ability to quickly develop custom analysis methods and algorithms and apply them to large data sets

Preferred Skills:

• Expert level experience in relevant tooling, e.g.: Pytorch, Tensorflow, MVC, Tensorboard, etc.
• Experience with cell, fluorescence, and/or histology imaging is a plus.

About 10x Genomics

At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world.

We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience.

Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference. 

Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.

10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.