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Deep Learning Engineer Jobs in Colorado (NOW HIRING)

AI/ML Engineer

Aurora, CO ยท On-site

$110 - $160/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

SIMILAR CAREER TITLES Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist, Deep Learning Engineer, NLP Engineer, Computer Vision Engineer, AI Research Scientist, Robotics ...

AI/ML Engineer

Aurora, CO ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

SIMILAR CAREER TITLES Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist, Deep Learning Engineer, NLP Engineer, Computer Vision Engineer, AI Research Scientist, Robotics ...

Sr. Machine Learning Engineer

Denver, CO

$107K - $147K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or ...

CO ยท On-site

$107K - $147K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or ...

Principal Machine Learning Engineer

Denver, CO ยท On-site

$228K - $253K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Ibotta is seeking a Principal Machine Learning Engineer to join our Core Data & Analytics team and ... Deep hands-on experience prototyping, building, releasing, and monitoring mission-critical machine ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Showing results 21-40

Deep Learning Engineer information

See Colorado salary details

$40K

$121.8K

$201.4K

How much do deep learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for deep learning engineer in Colorado is $121,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,300.00 and $159,300.00 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 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 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.

Are deep learning engineers in demand?

Deep learning engineers are in high demand due to the growth of artificial intelligence and machine learning applications across industries such as technology, healthcare, and finance. They typically require skills in neural networks, programming languages like Python, and frameworks such as TensorFlow or PyTorch, with job opportunities increasing as AI adoption expands.

What are the most commonly searched types of Deep Learning Engineer jobs in Colorado?

The most popular types of Deep Learning Engineer jobs in Colorado are:

What are popular job titles related to Deep Learning Engineer jobs in Colorado?

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

What cities in Colorado are hiring for Deep Learning Engineer jobs?

Cities in Colorado with the most Deep Learning Engineer job openings:

Infographic showing various Deep Learning Engineer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $121,834 per year, or $58.6 per hour.

AI/ML Engineer

Cymertek Corporation

Aurora, CO โ€ข On-site

$110 - $160/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

AI/ML Engineer LOCATION

Aurora, CO 80014

CLEARANCE

TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)

KEY SUMMARY

We are seeking a passionate and innovative AI/ML Engineer to join our team and drive cuttingโ€“edge solutions in artificial intelligence and machine learning. In this role, you will design, develop, and deploy intelligent systems that solve complex problems and enhance business outcomes. You will collaborate with crossโ€“functional teams to identify opportunities for AI/ML applications, build scalable models, and integrate them into our products and services. Ideal candidates thrive in dynamic environments, demonstrate strong problemโ€“solving skills, and have a deep understanding of machine learning algorithms, frameworks, and best practices. If you are excited to push the boundaries of technology and make an impact through AI, we want to hear from you.

*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***

SIMILAR CAREER TITLES

Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist, Deep Learning Engineer, NLP Engineer, Computer Vision Engineer, AI Research Scientist, Robotics Engineer, Applied Machine Learning Engineer, AI Specialist, etc.

DEGREE (Level Desired)

Bachelor's Degree

DEGREE (Focus)

Computer Science, Artificial Intelligence, Machine Learning, Data Science, Robotics, Electrical Engineering, Mathematics, Statistics, Computational Linguistics, Software Engineering, etc.

ALTERNATE EXPERIENCE

General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4โ€“5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.

POSITION RESPONSIBILITIES
  • Proven ability to design AI/ML models
  • Experience integrating AI systems
  • Strong foundation in algorithm development
  • Familiarity with model optimization methods
  • Proficiency in deploying models at scale
  • Understanding of AI ethics and compliance
REQUIRED SKILLS
  • Proficiency in programming (e.g., Python)
  • Knowledge of ML frameworks (e.g., TensorFlow)
  • Ability to preprocess and analyze datasets
  • Expertise in supervised and unsupervised learning
  • Familiarity with cloud-based AI tools
  • Skill in debugging and testing AI models
DESIRED SKILLS
  • Knowledge of reinforcement learning
  • Familiarity with generative AI models
  • Experience in edge AI implementation
  • Expertise in natural language processing
  • Proficiency in computer vision techniques
  • Understanding of emerging AI/ML trends
PLUG IN to CYMERTEK - And design your future... YOUR FOREVER CAREER STARTS HERE

Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.

At our company, you come first. Weโ€™re committed to creating an environment where youโ€™ll thrive professionally and personally. We provide meaningful, challenging work using cuttingโ€“edge technologies while investing in your growth and success. With direct access to company leadership, a laidโ€“back and inclusive atmosphere, and exceptional workโ€“life balance, youโ€™ll feel valued every day.

We also believe in taking care of our family โ€“ both yours and ours. Our benefits are phenomenal, familyโ€“friendly, and designed with your wellโ€‘being in mind. From employee and family events to careerโ€“long support, we create a community youโ€™ll never want to leave.

Ready to make your next move the best one? Join us and experience the difference.

BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments
EQUAL OPPORTUNITY EMPLOYER STATEMENT

Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.

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