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Deep Learning Engineer Jobs (NOW HIRING)

NBCUniversal

Staff Deep Learning Engineer

They are seeking a Deep Learning Engineer to implement core algorithms at the intersection of computer vision and computer graphics, focusing on manipulating large 2D and 3D media datasets.

NBCUniversal

Senior Deep Learning Engineer

Manhattan, NY · On-site

$175K - $215K/yr

We are seeking a Deep Learning Engineer with experience manipulating large 2D and 3D media datasets. In this role, you will implement core algorithms that sit at the intersection of computer vision ...

NBCUniversal

Senior Deep Learning Engineer

Manhattan, NY

$175K - $215K/yr

We are seeking a Deep Learning Engineer with experience manipulating large 2D and 3D media datasets. In this role, you will implement core algorithms that sit at the intersection of computer vision ...

NBCUniversal

Senior Deep Learning Engineer

Manhattan, NY

$175K - $215K/yr

We are seeking a Deep Learning Engineer with experience manipulating large 2D and 3D media datasets. In this role, you will implement core algorithms that sit at the intersection of computer vision ...

NBCUniversal

Staff Deep Learning Engineer

Manhattan, NY · On-site

We are seeking a Deep Learning Engineer with experience manipulating large 2D and 3D media datasets. In this role, you will implement core algorithms that sit at the intersection of computer vision ...

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How much do deep learning engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for deep learning engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior Deep Learning Engineer or AI research director, often involving advanced skills in machine learning frameworks, data modeling, and large-scale system development. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in cutting-edge AI research environments.

What is a Deep Learning Engineer job?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What are the key skills and qualifications needed to thrive in the Deep Learning Engineer position, and why are they important?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

What engineers make $500,000?

Senior engineers in high-demand fields such as software, data science, and machine learning can earn $500,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. Roles like senior software engineers, machine learning engineers, and data architects at large tech companies or startups often reach this compensation level through base salary, bonuses, and stock options.

What do deep learning engineers do?

Deep learning engineers develop and implement neural network models to solve complex problems such as image recognition, natural language processing, and speech analysis. They work with large datasets, use frameworks like TensorFlow or PyTorch, and often require knowledge of programming, mathematics, and machine learning principles.

What are the typical daily tasks and responsibilities of a Deep Learning Engineer?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What engineers make $300,000 a year?

Senior deep learning engineers and AI specialists with extensive experience, advanced skills in machine learning frameworks, and strong domain knowledge can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and work in high-demand industries such as technology, finance, or healthcare, typically involving leadership responsibilities and complex project management.
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Deep Learning Engineer jobs near you
Staff Deep Learning Engineer

Staff Deep Learning Engineer

NBCUniversal

Remote

Full-time

Posted 8 days ago

Job description

Job Summary:
NBCUniversal is one of the world's leading media and entertainment companies. They are seeking a Deep Learning Engineer to implement core algorithms at the intersection of computer vision and computer graphics, focusing on manipulating large 2D and 3D media datasets.
Responsibilities:
• Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in Python.
• Apply cutting-edge research in machine learning and computer graphics to solve real-world problems.
• Work closely with our cofounders to understand high-level product vision and translate customer requirements into technical milestones.
• Interact with remote machines via a Unix shell to deploy and test code on large-scale geospatial datasets, ultimately generating 3D content for our customers.
• Use Git to manage source code and modularize complex implementation tasks into manageable, executable components.
Qualifications:
Required:
• Master's degree in Computer Science, Engineering, Mathematics, or a related field
• Minimum of 5+ years of relevant industry experience, ideally within a fast-paced, high-growth tech environment.
• Proven experience as a DL Engineer or Applied Research Engineer in a fast-paced environment.
• Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace is highly valued.
• Fluency with Python, Git, and the Unix shell.
• Proven experience training and debugging artificial neural networks or adjacent experience (e.g., gradient descent, nonlinear optimization, or classical machine learning).
• A strong mathematical background covering linear algebra, statistics, probability, and numerical methods.
• Effective collaboration and the ability to work closely with a founding team.
• High attention to detail and the ability to meet key R&D milestones in an early-stage startup environment.
Preferred:
• Preferred prior experience with modern C++ to interface with data ingestion and product pipelines.
Company:
NBCUniversal is a media company that provides entertainment and news development, production, distribution, and marketing services. It is a sub-organization of Comcast. Founded in 1912, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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