Senior Computer Vision Engineer 

LiteBC is an exciting early-stage MedTech startup developing ground-breaking hematology analysis technology. 

Position: On this position you will be focused at achieving LiteBC’s state-of-the-art (SOTA) prediction quality of quantitative analysis of blood count data. The work is novel and unique, based on data from LiteBC’s non-invasive blood analysis device, the HemoScope.  

The research covers detection algorithms, segmentation, writing custom architectures for prediction. 

Your stack: 60% Deep Learning Computer Vision RnD, 20% classical CV, 20% data engineering and MLOps, code review. 

Position requirements include: 

1. Lead R&D projects: Developing deep learning pipelines for object detection, segmentation and selection. Researching for SOTA solutions for image analysis. 
2. Data engineering and MLops.  
3. Leading a project. Implementing proper workflow processes within the team. Code review and advising other team members. 

 About you: MS/PhD in Computer Sciences (or equivalent) 

1. Proved ability to read and reproduce scientific papers on computer vision. 
2. 3+ years experience in Deep Learning related to computer vision and imaging analysis. 
3. You are writing clear code, working in branches, covered with tests and use python typings.  
4. Your stack is: pytorch, bash, docker, data/model version control. 
5. Knowledge of software engineering best practices e.g. code reviews, CI/CD. 
6. Beneficial: Kaggle master, in leaderboard of data science contests. 
7.  

What we offer: 

1. Opportunity to disrupt the healthcare industry. 
2. Be part of a highly engaging and fast-moving research team. 
3. Ready to use infrastructure for Data Analysis, you will be solving DL/MLOps related tasks. 

Company location: Yokneam Illit 

Position location: on premises, 1 day a week remote