Sr. Deep Learning Engineer
- Remote
- Bengaluru, Karnātaka, India
- Engineering
Job description
Based in Toronto, Deeplite is an AI company dedicated to enabling AI for everyday life. Using state-of-the-art model optimization IP and know-how, Deeplite offers a models-as-a-service platform for semiconductor companies which provides pre-optimized models certified to work on our customers’ hardware. This extended model zoo can contain hundreds of model variations for many computers vision and GenAI use cases along with a library of pre-built deployment code enabling end users to quickly find the model they need, fine tune it on their data and deploy it to the real world. Deeplite has secured revenue-generating customers, reputable awards and has been featured by Gartner, Forbes, and ARM AI as a premier Edge AI innovator.
At Deeplite, we are tackling model optimization and inference speed-up for computer vision & GenAI applications, making them faster and more energy-efficient for constrained edge devices. Our platform leverages state-of-the-art technology and unique IP to make deep neural networks applicable for any device. Our world class team works hard on the iterative evolution of the science behind deep neural networks to directly improve daily life.
It's a great time to join Deeplite! The talent on our team is second to none and you will have a very rewarding experience working with our team to bring novel innovation to the AI market. Integrity, fun and a passion for bringing AI to everyday life is what we all have in common!
Our team is growing and we’re looking to hire a Senior Deep Learning Engineer.
Here’s what you’ll be doing:
Deeplite is developing a platform to train, optimize and deploy model for edge devices. Our work involves a blend of research and engineering. Our platform hosts hundreds of optimized models that can be directly deployed to edge devices hence reducing the time to deploy (time to market) on AI application. As a Senior Deep Learning Engineer, you will lead the model development and optimization efforts and work closely with the software engineering team for the platform development.
Job requirements
Here’s what we need you to bring to the table:
- MSc or higher degree in computer science, or related technical field
- Strong working knowledge of deep learning, and experience utilizing theoretical and empirical research to solve real-world problems especially in the field of Computer Vision.
- Must have at least 2 years of experience with PyTorch.
- Must have at least 5 years of industry experience with Python.
- Experience building systems based on machine learning and/or deep learning.
- Experience developing large a code base involving deep learning models.
- An understanding of low-level implementation of neural networks.
Here’s what is nice to have:
- Experience with CI/CD and Github
- C/C++ coding experience
- Paper publication record in reputed conference like CVPR, NeurIPS, ICML, ICCV etc.
- Experience working with object detection models
- Experience of compression techniques like Pruning, Quantization etc.
- Experience developing and maintaining a deep learning model zoo is a strong asset.
Here are the skills that will help you to succeed:
- Curiosity - being up to date with the latest trends.
- Autonomy - Ability to manage multiple priorities with minimal supervision. We appreciate initiative as well!
Why You Will Want to Join Us:
The computer vision AI market size is expected to reach $207.09 billion by 2030 from $9.18 billion in 2020, growing at a CAGR of 39.60% from 2021 to 2030. Deeplite’s ambition is to become a market leader and the de facto software solution.
We offer competitive compensations, benefits from day 1, remote work and all sorts of tools and resources to empower you to do your best work.
We are super proud of our fun and tech culture, and diversity in the team, cultivated by a group of amazing people from all over the world.
Deeplite is an equal opportunity employer. We foster an inclusive workplace, and we strongly encourage applications from underrepresented groups. Should you require an accommodation at any point during our selection process, please contact our hiring team at careers@deeplite.ai.
What can I expect when I submit my application?
Although we’d love to be able to speak with everyone that applies, only those selected to move forward in our selection process will be contacted by our hiring team within 5 business days.
We will send you an email if you are not selected for the position you applied for, but that doesn't mean we won't work together in the future. Let's stay in touch!
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