Senior Deep Learning Engineer
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
Offer value
High value attributed to competitive salary, critical role in AI technology, and opportunities for innovation and leadership in the deep learning field.
- Competitive salary in the high-demand AI industry
- Effective remote work with collaborative teams
- Opportunities to work on cutting-edge technology
Pros
- Strong potential for career advancement in AI and deep learning
- Competitive salary with high demand for skills
- Ability to work remotely and collaborate on cutting-edge technology
Cons
- High level of technical expertise required
- Potentially stressful due to rapid advancements in AI
- Requires keeping up with ongoing technological changes
Who it's for
Senior • Remote
Good fit
- Senior engineers with deep learning expertise
- Tech-savvy professionals eager to push AI boundaries
- Individuals motivated by collaboration in technology advancements
Not recommended for
- Entry-level candidates or those without significant experience
- Individuals uninterested in deep learning or AI technologies
- Candidates preferring roles with less technical complexity
Motivation fit
Key skills
About the job
Job Description
We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience, with at least 2 years in both deep learning and software engineering
- Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
- Experience with CNNs, LSTMs/RNNs, Transformers
- Strong math skills and Python proficiency
- Experience with C/C++
Preferred Skills & Experience:
- Master's or PhD in Computer Science, Engineering, or related field
- Experience in embedded or low-level programming
- Knowledge of CUDA/OpenGL
- Experience deploying neural networks in production
- Familiarity with model compression techniques like quantization, pruning, etc.
