Deep Learning Engineer
1 day ago
Are you a deep learning expert who thrives on designing and building neural networks that push the boundaries of artificial intelligence? Do you enjoy applying advanced deep learning techniques to real-world problems and building systems that deliver impactful results? If you’re passionate about creating scalable deep learning models that drive innovation, then our client has the perfect opportunity for you. We’re looking for a Deep Learning Engineer (aka The Neural Network Navigator) to design, train, and deploy deep learning models that unlock the potential of AI.
As a Deep Learning Engineer at our client , you’ll work with large datasets, design complex neural networks, and implement state-of-the-art algorithms to solve challenging problems in areas such as computer vision, natural language processing (NLP), and speech recognition. You’ll be at the cutting edge of AI, helping to create intelligent systems that drive our products and solutions forward.
Key Responsibilities:
- Design and Train Deep Learning Models:
Develop and implement deep learning models using frameworks such as TensorFlow, PyTorch, or Keras. You’ll design architectures for tasks like image classification, object detection, NLP, and generative models (GANs, VAEs). - Model Optimization and Tuning:
Experiment with different neural network architectures and hyperparameters to optimize model performance. You’ll use techniques like regularization, dropout, and batch normalization to improve model accuracy and efficiency. - Data Collection and Preprocessing:
Work closely with data engineers and scientists to collect, preprocess, and clean large datasets for training deep learning models. You’ll implement data augmentation and other techniques to maximize the effectiveness of training data. - Deploy and Scale Models:
Deploy trained deep learning models into production environments, ensuring they are scalable and efficient. You’ll work with cloud platforms (e.g., AWS, GCP, Azure) to deploy models and optimize them for real-time inference. - Model Monitoring and Maintenance:
Continuously monitor the performance of models in production and retrain or fine-tune them as needed. You’ll ensure that models maintain high accuracy and adapt to new data over time. - Collaboration with Cross-Functional Teams:
Collaborate with product managers, software engineers, and data scientists to integrate deep learning models into applications and products. You’ll ensure that models align with business goals and deliver actionable insights. - Stay Current with Deep Learning Advancements:
Keep up-to-date with the latest research and advancements in deep learning, computer vision, and NLP. You’ll experiment with cutting-edge techniques like transformers, reinforcement learning, and unsupervised learning, and bring new ideas to the team.
Required Skills:
- Deep Learning Expertise: Extensive experience with deep learning algorithms such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, generative models (GANs, VAEs), and reinforcement learning. You’re comfortable designing, training, and deploying models from scratch.
- Programming Skills: Proficiency in Python and experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. You can write clean, efficient code and implement custom layers or architectures when necessary.
- Data Processing and Augmentation: Experience in preprocessing and augmenting large datasets for deep learning tasks, especially in areas like computer vision and NLP. You have expertise in data pipelines and transformation techniques.
- Cloud and Deployment Experience: Hands-on experience deploying deep learning models to cloud platforms such as AWS, Google Cloud, or Azure, using tools like Docker, Kubernetes, and TensorFlow Serving.
- Mathematical and Statistical Foundations: Strong understanding of the mathematical concepts behind deep learning, such as linear algebra, probability, optimization, and gradient descent.
Educational Requirements:
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Data Science, or a related field. Equivalent experience in deep learning engineering is also highly valued.
- Certifications or additional coursework in deep learning, AI, or related fields are a plus.
Experience Requirements:
- 3+ years of experience in deep learning engineering or machine learning, with a proven track record of developing, training, and deploying deep learning models in production environments.
- Experience working with large datasets, developing complex neural network architectures, and optimizing models for performance and scalability.
- Experience with cloud-based deep learning services and frameworks (e.g., AWS SageMaker, Google AI Platform) is highly desirable.
-
Lead Deep Learning Engineer
1 day ago
San Francisco, CA, United States ZipRecruiter Full timeJob Description Company Overview: Welcome to the forefront of deep learning innovation! Our company is dedicated to pushing the boundaries of artificial intelligence through cutting-edge deep learning techniques. We're committed to developing innovative solutions that revolutionize industries and drive impactful change. Join us and be part of a dynamic team...
-
Lead Deep Learning Engineer
3 days ago
San Francisco, United States Unreal Gigs Full timeCompany Overview: Welcome to the forefront of deep learning innovation! Our company is dedicated to pushing the boundaries of artificial intelligence through cutting-edge deep learning techniques. We're committed to developing innovative solutions that revolutionize industries and drive impactful change. Join us and be part of a dynamic team shaping the...
-
Lead Deep Learning Engineer
3 days ago
San Francisco, United States ZipRecruiter Full timeJob Description Company Overview: Welcome to the forefront of deep learning innovation! Our company is dedicated to pushing the boundaries of artificial intelligence through cutting-edge deep learning techniques. We're committed to developing innovative solutions that revolutionize industries and drive impactful change. Join us and be part of a dynamic team...
-
Lead Deep Learning Engineer
7 days ago
San Francisco, United States Unreal Gigs Full timeCompany Overview: Welcome to the forefront of deep learning innovation! Our company is dedicated to pushing the boundaries of artificial intelligence through cutting-edge deep learning techniques. We're committed to developing innovative solutions that revolutionize industries and drive impactful change. Join us and be part of a dynamic team shaping the...
-
Lead Deep Learning Engineer
1 week ago
San Francisco, United States Unreal Gigs Full timeCompany Overview: Welcome to the forefront of deep learning innovation! Our company is dedicated to pushing the boundaries of artificial intelligence through cutting-edge deep learning techniques. We're committed to developing innovative solutions that revolutionize industries and drive impactful change. Join us and be part of a dynamic team shaping the...
-
Lead Deep Learning Engineer
1 month ago
San Francisco, United States Unreal Gigs Full timeCompany Overview: Welcome to the forefront of deep learning innovation! Our company is dedicated to pushing the boundaries of artificial intelligence through cutting-edge deep learning techniques. We're committed to developing innovative solutions that revolutionize industries and drive impactful change. Join us and be part of a dynamic team shaping the...
-
Senior Deep Learning Engineer
2 days ago
San Francisco, CA, United States Mach9 Robotics Inc Full timeAbout Mach9 Mach9 is at the forefront of leveraging advanced machine learning and computer vision techniques to transform raw geospatial data into actionable insights to help civil engineers build and maintain infrastructure globally. Our first product , Mach9 Digital Surveyor, helps surveyors automatically extract features from large-scale imagery and 3D...
-
Senior Deep Learning Engineer
1 week ago
San Francisco, California, United States Unreal Gigs Full timeWe are seeking a highly skilled Senior Deep Learning Engineer to join our team at Unreal Gigs. As a member of our research team, you will play a crucial role in advancing deep learning research and developing general human-like machine intelligence.About the RoleAs a Senior Deep Learning Engineer, you will be responsible for implementing various research...
-
Santa Clara, CA, United States The Learning Experience #393 Full timeJobs Deep Learning Library GPU Software Development Engineer Deep Learning Library GPU Software Development Engineer We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for...
-
Deep Learning Engineer
3 days ago
San Francisco, United States Unreal Gigs Full timeAre you a deep learning expert who thrives on designing and building neural networks that push the boundaries of artificial intelligence? Do you enjoy applying advanced deep learning techniques to real-world problems and building systems that deliver impactful results? If you’re passionate about creating scalable deep learning models that drive innovation,...
-
Deep Learning Engineer
1 week ago
San Francisco, United States Unreal Gigs Full timeAre you a deep learning expert who thrives on designing and building neural networks that push the boundaries of artificial intelligence? Do you enjoy applying advanced deep learning techniques to real-world problems and building systems that deliver impactful results? If you're passionate about creating scalable deep learning models that drive innovation,...
-
Deep Learning Engineer
1 week ago
San Francisco, United States Unreal Gigs Full timeAre you a deep learning expert who thrives on designing and building neural networks that push the boundaries of artificial intelligence? Do you enjoy applying advanced deep learning techniques to real-world problems and building systems that deliver impactful results? If you're passionate about creating scalable deep learning models that drive innovation,...
-
Deep Learning Engineer
1 month ago
San Francisco, United States Unreal Gigs Full timeAre you a deep learning expert who thrives on designing and building neural networks that push the boundaries of artificial intelligence? Do you enjoy applying advanced deep learning techniques to real-world problems and building systems that deliver impactful results? If you're passionate about creating scalable deep learning models that drive innovation,...
-
Deep Reinforcement Learning Research Engineer
1 month ago
San Francisco, United States Nimble Full timeNimble is looking for a Deep Reinforcement Learning Research Engineer to help us advance our robotics moonshot by designing, developing, implementing reinforcement learning algorithms controlling multiple robots for a stealth project.
-
AI and Deep Learning Engineer
6 months ago
San Diego, United States Kneron Full timeAI and Deep Learning Engineer Job description -Implementing novel deep neural network architectures and learning techniques to solve a variety of computer vision and audio related tasks and push the state of the art in performance. Research and develop audio applications including speech recognition, voice recognition, voice wakeup using state of art deep...
-
Machine Learning/Deep Learning Engineer
2 days ago
Richardson, TX, United States Ethereum Technologies LLC Full timeJob Overview Job ID: J36993 Specialized Area: Machine learning Job Title: Machine Learning/Deep Learning Engineer Location: To Be Discussed Later Duration: 11 Months Domain Exposure: Not specified Work Authorization: Not specified Client: To Be Discussed Later Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed) Design,...
-
San Francisco, California, United States Focal Systems Full time**About Us:** Focal Systems is a leading retail AI solutions company based in Silicon Valley, dedicated to automating and optimizing brick-and-mortar retail using deep learning computer vision. We are a rapidly growing startup that has more than doubled in size every year since inception.**Salary and Benefits:** This role comes with an estimated salary of...
-
Machine Learning/Deep Learning Engineer
2 days ago
Richardson, TX, United States Cloud Analytics Technologies, LLC Full timeJob Overview Job ID: J37488 Specialized Area: Machine learning Job Title: Machine Learning/Deep Learning Engineer Location: To Be Discussed Later Duration: 7 Months Domain Exposure: Banking & Finance, Telecom, IT/Software Work Authorization: W-2 (Consultant must be on our company payroll. C2C is not allowed) Design, develop, train, evaluate and deploy...
-
Expert Deep Learning Innovator
6 days ago
San Francisco, California, United States Unreal Gigs Full timeUnlock the Potential of AI ResearchWe are seeking a highly skilled and innovative Deep Learning Researcher to join our team at Unreal Gigs. As a key member of our research group, you will have the opportunity to explore cutting-edge deep learning techniques, develop novel architectures, and collaborate with cross-functional teams to drive breakthrough...
-
Deep Learning Compiler Engineer
1 day ago
Burlingame, CA, United States quadric.io, Inc Full timeQuadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems....
