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Deep Learning Engineer Jobs in Denver, CO (NOW HIRING)

SciTec

Senior Staff / Senior Machine Learning Engineer

Boulder, CO · On-site

$128K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate is a strong individual contributor with deep experience in machine learning ... Apply strong software engineering practices to ensure model reproducibility, performance, and ...

S Linx LLC

Sr AI Engineer

Greenwood Village, CO · On-site

$105K - $145K/yr

Greenwood Village, CO Duration: Long Term Required Skills: · Hands-on AI/ML leader with strong experience in AI Engineering, Machine Learning, Data Science, or applied NLP / LLM · Deep expertise in ...

Blissway Inc

Machine Learning Engineer

Denver, CO · On-site

$145K - $195K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Deep Tech, AI/ML, Hardware, SaaS, and IoT. For the past five years, we have built a nearly ... Machine Learning Engineer The Mission: You are the engineer who ships the model, not just the one ...

Accenture

Senior Data Scientist

Denver, CO · On-site

Design and implement deep-learning solutions using neural networks, transformers, convolutional ... Collaborate with data engineers, software engineers, machine learning engineers, architects ...

Booz Allen Hamilton

Computer Vision AI Engineer

Aurora, CO

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Develop and implement deep learning computer vision models, with a focus on sensor fusion and ... Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ...

Booz Allen Hamilton

Computer Vision AI Engineer

Aurora, CO · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Develop and implement deep learning computer vision models, with a focus on sensor fusion and ... Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ...

Apple

Senior ML Software Engineer - Apple Watch

Boulder, CO · On-site

$127K - $167K/yr

We are looking for a versatile Machine Learning Software Engineer who is passionate about ... deep learning frameworks such as PyTorch or TensorFlow Experience with Swift or Objective-C and ...

GliaCell Technologies

Senior Software Engineer

Aurora, CO · On-site

$170 - $260/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Software Engineer Job Overview GliaCell Technologies LLC is seeking a Senior Software ... Knowledge of AI tools and deep learning model development. * Experience with cloud infrastructure ...

GliaCell Technologies

Senior Software Engineer

Aurora, CO · On-site

$124K - $163K/yr

They are seeking a Senior Software Engineer to provide technical expertise in sustaining critical ... deep learning models • Experience w/cloud infrastructure management Preferred : • AI tools ...

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Showing results 21-40

All JobsDeep Learning Engineer JobsDeep Learning Engineer Jobs in Denver, CO

Deep Learning Engineer information

See Denver, CO salary details

$39.1K

$119.3K

$197.1K

How much do deep learning engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for deep learning engineer in Denver, CO is $119,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,400.00 and $155,900.00 per year, depending on experience, location, and employer.

What is a deep learning engineer?

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 skills and qualifications does a deep learning engineer need?

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 does a deep learning engineer do?

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 are popular job titles related to Deep Learning Engineer jobs in Denver, CO?

For Deep Learning Engineer jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Deep Learning Engineer jobs in Denver, CO look for?

The top searched job categories for Deep Learning Engineer jobs in Denver, CO are:

Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in Denver, CO as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $119,257 per year, or $57.3 per hour.

Senior Staff / Senior Machine Learning Engineer

SciTec

Boulder, CO • On-site

$128K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

SciTec, a wholly owned subsidiary of Firefly Aerospace, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile
Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered.
SciTec has an immediate opportunity for a talented Machine Learning & AI Engineer to support our programs delivering Next-Generation Missile Warning software. This is a unique opportunity to join a small business delivering core capabilities for national defense. You will work within a fast-paced team developing end-to-end machine learning and analytics pipelines for Overhead Persistent InfraRed (OPIR) sensor data supporting Missile Warning, Missile Defense, Battlespace Awareness, and Technical Intelligence.
We are seeking a Staff/Senior Staff Machine Learning & AI Engineer to design, train, and optimize high-performance ML models and algorithms that enhance remote sensor data exploitation and analysis. This role focuses on hands-on algorithm development, model optimization, and integration into production software systems running on Linux.
The ideal candidate is a strong individual contributor with deep experience in machine learning, high-throughput data processing, and applied algorithmic development. Success in this role requires technical curiosity, rigorous engineering practices, and the ability to collaborate effectively within a highly technical, Agile team.
Responsibilities
  • Develop and implement machine learning, deep learning, and AI algorithms for remote sensor data exploitation
  • Design, train, and optimize models supporting image analysis, detection, tracking, and multi-modal sensor fusion
  • Deploy high-performance inference pipelines for large-volume, real-time or near-real-time data processing
  • Collaborate closely with C++ and system-level engineers to integrate ML/AI solutions into existing software frameworks
  • Apply strong software engineering practices to ensure model reproducibility, performance, and maintainability
  • Work as part of an Agile team and contribute to shared tools, workflows, and documentation
  • Other duties as assigned

Requirements
  • A Bachelor's degree in the physical sciences, mathematics, engineering, computer science, or a related field
    (Additional years of education may be substituted for years of professional experience)
  • At least five years of professional experience in machine learning, AI engineering, or applied algorithm development
  • At least three years of experience working in Linux environments
  • Proficiency with Python and common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • Strong understanding of data structures, numerical methods, and algorithm design
  • Experience optimizing models and pipelines for high-data-throughput processing
  • Feature engineering and statistical tests, such as Mutual Information and Shapley Analysis
  • Detail oriented with strong problem-solving skills
  • Good verbal and written communication skills
  • Ability to work full-time in-person at the Boulder, CO office location
  • Ability to obtain and maintain a DoD security clearance

Preferred Qualifications
  • Experience with GPU programming and acceleration (CUDA, cuDNN, TensorRT, ROCm, etc.)
  • Direct experience applying ML/AI techniques to OPIR, E/O, SAR, Spectral, RF, or other remotely sensed data
  • Strong understanding of modern software engineering principles, including object-oriented design and SOLID principles
  • Experience with production deployment of ML models, MLOps pipelines, or real-time inference systems
  • Familiarity with C++17/20/23, especially for model integration or high-performance compute components
  • Advanced degree (MS or PhD) in the physical sciences, mathematics, engineering, computer science, or a related discipline
  • Professional fluency in one or more additional languages: Python, Rust, or C++
  • Prior experience in Agile software development environments
  • A current active DoD SECRET clearance or higher

Benefits
SciTec offers a highly competitive salary and benefits package, including:
  • 4% Safe Harbor 401(k) match
  • 100% company paid HSA Medical insurance, with a choice of 2 buy-up options
  • 80% company paid Dental insurance
  • 100% company paid Vision insurance
  • 100% company paid Life insurance
  • 100% company paid Long-term Disability insurance
  • 100% company paid Hospital Indemnity insurance
  • Voluntary Accident and Critical Illness insurance
  • Short-term Disability insurance
  • Annual Profit-Sharing Plan
  • Discretionary Performance Bonus
  • Paid Parental Leave
  • Generous Paid Time Off, including Holiday, Vacation, and Sick Pay
  • Flexible Work Hours

The pay range for this position is $127,000 - $193,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation.
SciTec is proud to be an Equal Opportunity employer. VET/Disabled
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About SciTec

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

1979

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