Netradyne
About this role
This posting is a good example of why reading the body matters. It is advertised as Senior Research Engineer, but the job overview inside calls the role Staff Research Engineer and the mandatory skills line asks for 6.5 or more years, so it is a level above what the title suggests. The work is computer vision and machine learning for driver monitoring and driver assistance: designing, implementing and commercialising algorithms that characterise driving behaviour, with access to very large datasets and deployment into thousands of vehicles. You would also improve the machine learning infrastructure for scalable training and inference, and build proof of concept solutions for novel capabilities. Netradyne says this Analytics team is made up of graduates from IITs, IISc, Stanford, UIUC and UCSD, which tells you what the hiring bar looks like in practice.
Who this is for
What the posting requires as mandatory:
- A B.Tech, M.Tech or PhD in computer science, electrical engineering or a related area.
- 6.5+ years of research or industry experience within computer vision and machine learning models. Note this is higher than the Senior in the title implies, and the body of the posting refers to the role as Staff Research Engineer.
- In depth understanding of machine learning, both deep learning and classical ML, and of computer vision concepts.
- Excellent programming skills: Python is required, C++ is desired.
- Ability to take abstract product concepts and turn them into reality.
- Ability to innovate on cutting edge problems without documented solutions.
- Hands on experience handling edge deployments targeting various hardware platforms.
Preferred skills:
- Experience with time series data.
- Experience with camera calibration, multi view geometry, 3D reconstruction and SLAM.
- Experience with road scene understanding: objects, lanes, intersections, signs.
- Experience successfully applying machine learning to a real world problem.
- Experience conducting successful statistical experiments.
What the work actually looks like:
- Help design, implement and commercialise driver monitoring and driver assistance algorithms.
- Work with very large datasets and deploy new algorithms and models into thousands of vehicles.
- Design and commercialise algorithms characterising driving behaviour.
- Design, implement and track key metrics, and architect data driven solutions.
- Improve the machine learning infrastructure for scalable training and inference.
- Innovate and develop proof of concept solutions showcasing novel capabilities.
About the team: Netradyne describes its Analytics team as comprising graduates from IITs, IISc, Stanford, UIUC and UCSD.
Location and working pattern: Bangalore. This posting does not state the number of office days, though some other Netradyne listings specify a five day on site model.
A note on the employer: Netradyne postings carry a recruitment fraud warning. Official communication comes only from netradyne.com or us-greenhouse-mail.io addresses, and the company never charges candidates a fee.
Honest fit guidance: treat this as a staff level computer vision role, because the posting body does. The edge deployment requirement is the part people underestimate: this is vision that has to run on a device in a truck, not in a notebook.
- A B.Tech, M.Tech or PhD in computer science, electrical engineering or a related area.
- 6.5+ years of research or industry experience within computer vision and machine learning models. Note this is higher than the Senior in the title implies, and the body of the posting refers to the role as Staff Research Engineer.
- In depth understanding of machine learning, both deep learning and classical ML, and of computer vision concepts.
- Excellent programming skills: Python is required, C++ is desired.
- Ability to take abstract product concepts and turn them into reality.
- Ability to innovate on cutting edge problems without documented solutions.
- Hands on experience handling edge deployments targeting various hardware platforms.
Preferred skills:
- Experience with time series data.
- Experience with camera calibration, multi view geometry, 3D reconstruction and SLAM.
- Experience with road scene understanding: objects, lanes, intersections, signs.
- Experience successfully applying machine learning to a real world problem.
- Experience conducting successful statistical experiments.
What the work actually looks like:
- Help design, implement and commercialise driver monitoring and driver assistance algorithms.
- Work with very large datasets and deploy new algorithms and models into thousands of vehicles.
- Design and commercialise algorithms characterising driving behaviour.
- Design, implement and track key metrics, and architect data driven solutions.
- Improve the machine learning infrastructure for scalable training and inference.
- Innovate and develop proof of concept solutions showcasing novel capabilities.
About the team: Netradyne describes its Analytics team as comprising graduates from IITs, IISc, Stanford, UIUC and UCSD.
Location and working pattern: Bangalore. This posting does not state the number of office days, though some other Netradyne listings specify a five day on site model.
A note on the employer: Netradyne postings carry a recruitment fraud warning. Official communication comes only from netradyne.com or us-greenhouse-mail.io addresses, and the company never charges candidates a fee.
Honest fit guidance: treat this as a staff level computer vision role, because the posting body does. The edge deployment requirement is the part people underestimate: this is vision that has to run on a device in a truck, not in a notebook.
Apply on company site
Opens www.netradyne.com, the employer's own application page. Applying is always free.