We are seeking a Sr. Machine Learning Engineer to join our well-funded ($25 million dollars) Stanford spinout that is at the precipice of Artificial Intelligence and Biology. We combine state-of-the-art machine learning, microfluidics, imaging, and genomics to power phenotype activated cell analysis and sorting in a way that will innovate imaging technology for the future.
Based in Menlo Park, the ideal Sr. Machine Learning Engineer will have the chance to join a rapidly growing team of stellar innovators in biomedical engineering, artificial intelligence, and molecular biology who are working to create technology that will more expeditiously and accurately identify cells.
As a Senior ML Engineer, you must have a minimum of 5 years of experience. You will lead development on our model training and evaluation infrastructure. You will work closely with data scientists to experiment on model architectures and take them to production. You'll build, maintain and improve data processing pipelines that process billions of data points and petabytes of data.
What we can offer our Senior ML engineer:
- A chance to develop the next generation of technology
- A culture rooted in diversity that offers our employees the opportunity to work with some of the best scientists, engineers, and coders from around the globe
- Expansive benefits coupled with the promise of exciting technical innovation
Key Skills: machine learning engineer, software engineer, machine learning, artificial intelligence, pytorch, tensorflow, caffe, ETL, GCP, AWS, Python
