Senior Deep Learning Engineer, Untether AI
Offers stock options
Faster execution for AI workloads
Open for applications
Faster execution for AI workloads
101-200 employees
Open for applications
Offers stock options
101-200 employees
Company mission
To help companies run AI workloads to run neural networks faster, cooler, and cost-effectively using at-memory computing.
Role
Who you are
- Computer Science, Engineering or related degree
- 5+ years experience, with a healthy amount of both deep learning and software engineering (2+ years each)
- Experience with one or more deep learning frameworks (preferably Tensorflow and/or PyTorch)
- Experience working with one or more of the following: CNNs, LSTMs/RNNs, Transformers
- Experience reproducing academic work from the field of AI
- Strong math background
- Strong Python skills
- Experience with C/C++
- Enthusiastic about all things AI
- Passionate about solving hard problems and pushing the envelope of what is possible
- Comfortable with both big picture thinking and in-the-weeds deep dives
- Driven, organized and self-directed
- Ability to build projects from the ground up
- Comfortable working within a rapidly evolving project
- Strong focus on testing and software quality
- Team focus and desire to help build the team
Desirable
- Masters or PhD in Computer Science, Engineering, or related field
- Embedded or low-level programming experience
- CUDA/OpenGL experience
- Experience deploying neural networks to production
- Experience with model compression techniques such as quantization, quantization-aware training, knowledge distillation, pruning, etc
What the job involves
- We are looking for an experienced Senior Deep Learning Engineer to join our Neural Networks team. The main objective of our team is to make it as seamless as possible for researchers and developers to successfully deploy neural networks to run on our hardware
- This involves optimizing a variety of common neural networks to run efficiently on our architectures
- The Senior Deep Learning Engineer will also be designing and building a model optimization software pipeline so that our customers’ models can be automatically prepared for on-chip inference
Our take
Increased use of AI, and the hardware requirements that come with it, have presented a challenge for traditional datacenter compute architectures. Untether AI was launched to help companies run their AI workloads much faster, smoother and without breaking their budget.
The company has developed a unique at-compute chip architecture for neural net inference that eliminates the data movement bottleneck that costs energy and performance in traditional architectures. By having the compute element directly adjacent to memory cells, it accelerates inference for diverse neural networks such as vision, natural language processing and recommendation engines.
With considerable funding at its back, Untether AI is committed to driving customer expansion and continues to develop its next-generation of chip and products, as well as expand its team and partnerships.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Jul 2021
$125m
SERIES B
Jul 2020
$6.6m
SERIES A
Total funding: $148.4m
Company benefits
- 20 vacation days
- Day one health benefits
- Unlimited sick days, within reason
- Stock options
- Building chips and software that will change the world
- And… free lunch once a week
Company HQ
Fashion District, Toronto, ON
Articles
Leadership
Darrick Wiebe
(Co-Founder)With experience as a Technology Artist, they went on to Co-Found XN Logic and LightMesh.
Raymond Chik
(Co-Founder)Co-Founder and Board Chair at Hepzibah and Kapik Integration.
Chris Walker
(CEO & President)Also Senior Advisor at Cerberus Capital Management. Prior to this, they spent almost three decades at Intel Corporation, including as a VP and GM.
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