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Deep Learning Engineer Jobs in Maryland (NOW HIRING)

Barrow Wise Consulting

Software Engineer (Deep Learning)

MD · On-site

$84K - $110K/yr

The Software Engineer will support Barrow Wise and perform the following duties: * Designs and develops scalable solutions using AI and deep learning models * Performs research and testing to develop ...

Autodesk

Senior Machine Learning Engineer

California, MD · On-site +1

$100K - $137K/yr

Train, adapt, and improve machine learning models, including classical ML models, deep learning ... Work closely with engineers, MLOps, and product partners to deploy, monitor, and iterate on ML ...

BOOZ, ALLEN & HAMILTON, INC.

$176K/yr

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Experience with deep learning, computer vision, or generative AI * Experience with data handling ...

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Deep Learning Engineer information

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$36.9K

$112.5K

$185.9K

How much do deep learning engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for deep learning engineer in Maryland is $112,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,600.00 and $147,000.00 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.
What are the most commonly searched types of Deep Learning Engineer jobs in Maryland? The most popular types of Deep Learning Engineer jobs in Maryland are:
What are popular job titles related to Deep Learning Engineer jobs in Maryland? For Deep Learning Engineer jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Deep Learning Engineer jobs in Maryland look for? The top searched job categories for Deep Learning Engineer jobs in Maryland are:
Deep Learning Engineer jobs near you
Software Engineer (Deep Learning)

Software Engineer (Deep Learning)

Barrow Wise Consulting

MD • On-site

$84K - $110K/yr

Full-time

Posted 22 days ago

Job description

Enjoy problem-solving, need a venue to display your creativity, and emerging technologies pique your interest; if so, Barrow Wise Consulting, LLC is for you. As a multi-disciplined leader, you understand the gifts that set you apart from everyone else. Demonstrate innovative solutions to our clients. Join Barrow Wise Consulting, LLC today.
Responsibilities:
The Software Engineer will support Barrow Wise and perform the following duties:
  • Designs and develops scalable solutions using AI and deep learning models
  • Performs research and testing to develop deep learning algorithms and predictive models
  • Develops algorithms such as Bayesian, coordinate descent, gradient descent, and evolutionary
  • Utilizes big data computation and storage models to create prototypes and data sets
  • Develops Convolutional Neural Networks
  • Develops models to identify characteristics including objects
  • Conducts model training and evaluation, integrates, tests, and optimizes solutions
  • Serves as an expert in TensorFlow, Python, PyTorch, Halide and other AI tools
  • Performs other duties as assigned

An Ideal Candidate has:
  • US Citizenship
  • Master's Degree or Higher in Engineering, Computer Science, Mathematics, or related field
  • 5 years of AI development expertise

Barrow Wise Consulting, LLC offers an ethical, challenging, diverse, and rewarding experience. Join us and become part of an enthusiastic, responsible team that delivers innovative solutions to our clients. We provide competitive compensation packages, attractive benefits, and great careers. Barrow Wise is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LBGT.
Our employees stand behind Barrow Wise's core values of integrity, quality, innovation, and diversity. We are confident that Barrow Wise's core values, business model, and team focus create positive career paths for our employees. Barrow Wise will continue to lead the industry in delivering new solutions to clients and persevere until the client is overjoyed.

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