DEEP LEARNING ENGINEER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Updated: Mai 21, 2025 - The Deep Learning Engineer brings hands-on experience in Computer Vision, including Object Detection, Semantic Segmentation, Pose Estimation, and Depth Estimation. Demonstrates strong coding skills in PyTorch or TensorFlow, with a deep understanding of software design and experience in Bayesian Learning, Graph Neural Networks, and NLP using Deep Learning. Skilled in Computer Graphics, Neural Rendering, and Numerical Optimization, with effective communication skills and a collaborative team approach.

Essential Hard and Soft Skills for a Standout Deep Learning Engineer Resume
  • Computer Vision
  • Object Detection
  • Instance Segmentation
  • Semantic Segmentation
  • PyTorch
  • TensorFlow
  • Bayesian Learning
  • Graph Neural Networks
  • NLP using Deep Learning
  • Software Design
  • Numerical Optimization
  • Communication
  • Teamwork
  • Problem-Solving
  • Adaptability
  • Time Management
  • Collaboration
  • Critical Thinking
  • Creativity
  • Attention to Detail
  • Continuous Learning

Summary of Deep Learning Engineer Knowledge and Qualifications on Resume

1. BA in Computer Science with 5 years of Experience

  • Hands on experience in Computer Vision topics such as Object Detection, Instance Segmentation, Semantic Segmentation, Pose Estimation and Depth Estimation
  • Exceptional coding skills in PyTorch or TensorFlow
  • A thorough understanding of software design
  • Evidence of being able to code from scratch in GitHub
  • Experience in Bayesian Learning and Graph Neural Networks 
  • Experience in Natural Language Processing (NLP) using Deep Learning 
  • Good writing and speaking skills
  • Fluent English and team player
  • Very well acquainted with Computer Graphics techniques, Neural Rendering, and Numerical Optimization
  • Knowledge of 3D packages such as Blender, Maya, or any game engine technology

2. BA in Electrical Engineering with 4 years of Experience

  • Image processing experience
  • Experience with statistical computer vision and image processing
  • Strong understanding of Deep Learning; proficient in training and evaluating state-of-the-art Deep Networks for Classification, Semantic & Instance Segmentation, and Object Detection, Action Recognition and Object Tracking; exposure to 3D Deep Learning
  • Proficient in DL development frameworks such as TensorFlow, Keras, PyTorch
  • Strong C++ and Python programming skills
  • Experience with common ML/CV tools including python/bash scripting, scikit-learn, OpenCV etc.
  • Knowledge of mathematical and statistical optimization theory and techniques
  • Working knowledge and/or experience with DL inference hardware and edge device
  • Hands-on experience (academic and/or industrial) in 3D Pose Estimation and Motion reconstruction from images and videos
  • Proficiency in general purpose programming languages: Python, and C++.
  • Experience with ML frameworks such as PyTorch, Tensorflow, etc.

3. BA in Data Science with 6 years of Experience

  • Familiarity with object-oriented software design patterns, and implementation in C++.
  • Comfortable using language features like STL, smart pointers, move semantics, templates, etc.
  • Understand memory structures and storage.
  • Experience with debugging and using tools such as gdb/lldb, Valgrind, etc.
  • Familiarity with cross-compiling and cross-platform build systems, like CMake.
  • Experience with image detector and classifier Network Architectures and related Machine Learning concepts.
  • Excellent understanding of parallel computing (GPGPU) and high-performance (HPC) concepts:
  • Understanding of GPU architectures and how to optimize code for different GPU-based platforms.
  • Understanding of multi-threaded programming and thread safety
  • Excel at working in a highly collaborative environment

4. BA in Artificial Intelligence with 7 years of Experience

  • Expertise in Deep Learning networks and frameworks ex. Tensorflow, Pytorch
  • Understanding of 3D graphics (including DX11/12 and/or Vulkan)
  • Knowledge of Graphics and Deep Learning Accelerator architectures
  • Experience in AI graphics techniques, such as image upscale, GAN techniques, etc.
  • Solid written and spoken English skills
  • Expertise in Ray Tracing
  • Expertise in modern AI and non-AI ray tracing denoising approaches
  • Expertise in optimization techniques for neural networks
  • Knowledge of inference libraries applicable for graphics (OpenCL, DirectML, DPC++)
  • Experience in development for Windows and Linux-based operating systems
  • Knowledge of C++, Python languages
  • Knowledge of Intel graphics driver

5. BA in Applied Mathematics with 5 years of Experience

  • Have significant experience training CNNs
  • Experience with Tensorflow / Pytorch
  • Experience developing software in a corporate environment
  • Experience in MLOps
  • Experience orchestrating trainings and experiences on main cloud providers (AWS, GGC) using deployment tools (Docker, Kubernetes).
  • Experience in C++ and with TensorRT, CUDA, CuBlas, CuSparse, CuDNN
  • Industry experience in Machine Learning teams.
  • Knowledge of algorithms for facial animation synthesis from audio, video and other signals
  • Familiarity with distributed computing frameworks such as Hadoop or Spark, or distributed training of deep learning models
  • Experience deploying machine learning models in production environments

6. BA in Computer Science with 4 years of Experience

  • Proven experience in designing, training, and analyzing neural networks in at least one of the following fields: Object detection/classification, Audio Classification, Speech Enhancement, Image segmentation, Multitask learning, Network compression, Reinforcement learning, Unsupervised learning.
  • Strong mathematical background (linear algebra/statistics/optimization methods)
  • Experience with standard Machine Learning packages, amongst but not limited to: Tensorflow, Keras, SciKit-Learn, Torch, etc.
  • Practical knowledge of libraries related to image and video processing
  • Experience in Computer Science, Signal Processing, Acoustics, or related discipline
  • Fundamental knowledge in Acoustics, Audio Engineering, and Digital Signal Processing
  • Professional experience in porting Audio/Image/Video neural network models on embedded platforms: ARM, DSPs
  • Professional experience in fixed point C, assembler on generic platforms, optimizing C/ASM code
  • Professional experience in developing product-grade code including high-level software development practices, integration into CI environment, proper testing, packaging and releasing of the software

7. BA in Electrical Engineering with 2 years of Experience

  • Expert in machine learning, statistics, and genomics
  • Possesses strong communication skills, with the ability to present complex scientific ideas to clinical, scientific, and industry audiences.
  • Experience in creating and applying advanced statistical methods and machine learning algorithms such as: data mining, regression, clustering, simulation, scenario analysis, neural networks and decision trees
  • Experience creating simple, concise visualizations of data and presenting to stakeholders through visualization software such as Tableau, PowerBI, Periscope, or other similar software
  • Programming experience (C, C++, Java, Python, R)
  • Experience with relational databases and SQL
  • Understanding of fundamental computer vision algorithms and approaches, with a focus on machine learning.
  • Proficiency in Python, TensorFlow, PyTorch keras, etc, with Chinese NLP 
  • Strong communication skills, self-driven, able to measure result in business results rather than lines of code.
  • Demonstrated proficiency in transformer-based NLP models like BERT, GPT or T5, etc

8. BA in Data Science with 4 years of Experience

  • Strong track record of complex problem-solving and decision-making skills with an unwavering customer focus
  • Strong communication, collaboration, and interpersonal skills are a must as this position requires interaction at multiple levels within Intel and across a variety of job functions.
  • Strong analytical skills
  • Experience in embedded systems or high-availability systems
  • Strong skills in C/C++, Embedded, and DSP Programming
  • Experience with Agile, SCRUM / Jira, CI/CD Jenkins
  • Experience with formal SW development processes and methods
  • Experience in AI 
  • Excellent English language communication skills, both written and verbal.
  • High level of innovation and motivation.

9. BA in Artificial Intelligence with 3 years of Experience

  • Industry experience programming using Python and C++
  • Strong object oriented design and development skills.
  • A strong understanding of the TensorFlow framework and prior experience using it for building training pipelines is strongly 
  • Knowledge of neural networks, with hands-on experience using ML frameworks such as Tensorflow and PyTorch
  • Experience with enhancements to Training Frameworks and/or backends.
  • Experience developing CUDA kernels.
  • Knowledge of Convolutional Neural Networks (CNNs), RNN/LSTMs
  • Familiarity with any of the deep learning compiler frameworks TVM, Glow, or XLA
  • Experience with TDD development solutions like GoogleTest etc.
  • Experience with Source Code and Configuration management tools, such as Git
  • Strong debugging and analysis skills, for root causing complex issues
  • Experience in profiling software and optimization techniques
  • Good understanding of multi-dimensional data movements and processing
  • Experience deploying and analyzing ML models on edge devices
  • Previous experience working in an Agile environment, and collaborating with multi-disciplinary teams

10. BA in Applied Mathematics with 3 years of Experience

  • Experience in the development, optimization, and/or deployment of GNNs, GCNs, NLP workloads
  • Experience using and/or optimizing one or more of Pytorch, Tensorflow, Deep Graph Library, PyG, MLIR, LLVM
  • Extensive knowledge of Deep Learning models and relevance to HW performance
  • Experience with functional and cycle-accurate simulators
  • System-level understanding of data platforms and datacenter scale
  • Strong Analytical skills and ability to define the work scope independently
  • Experience engaging with external customers such as public cloud
  • Experience in Explainable AI, Reinforcement Learning
  • Deep understanding of processor and accelerator architectures, memory systems and interconnects
  • Knowledge of algorithms applied to faces such as face recognition, landmarking, reconstruction, or advanced deep learning topics

11. BA in Computer Science with 6 years of Experience

  • Solid fundamental Computer Vision methods and concepts
  • Experience in designing network architectures for image2image translations tasks like Semantic Segmentation, Panoptic Segmentation and Depth Estimation
  • Experience with advanced network optimization techniques (few-shot learning, meta-learning, domain adaptation, knowledge-distillation) for improving network performance and handling specific failure cases (long-tailed distributions / under-represented classes) for image2image tasks.
  • Experience with modern network architectures for image2image translation tasks.
  • Consistent track record of researching, inventing and/or shipping advanced machine learning algorithms
  • Solid mathematical foundation of machine learning and deep learning techniques
  • Strong coding skills in python and C/C++
  • Proficiency in at least one major machine learning framework, such as Tensorflow, PyTorch etc.
  • Creativity and curiosity for solving highly complex problems
  • Excellent communication and collaboration skills
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