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Machine Learning Engineer Intern Jobs in Conifer, CO

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

Oversee teams of data scientists, modelers, and ML engineers to deliver innovative and scalable ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...

As an intern, you will work closely with experienced engineers to develop and test next-generation ... Familiarity with advanced manufacturing tools such as 3D printing, machining, or composite ...

As an intern, you will work closely with experienced engineers to develop and test next-generation ... Familiarity with advanced manufacturing tools such as 3D printing, machining, or composite ...

Senior ML Ops Engineer

Denver, CO · On-site

$123K - $170K/yr

... end-to-end machine learning lifecycle, including model training, deployment, monitoring, and ... Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment ...

Past example internship projects include machine learning development, automating current manual ... Computer Science, Computer Engineering, Electrical Engineering, General Engineering, Software ...

Showing results 41-60

Machine Learning Engineer Intern information

See Conifer, CO salary details

$25.9K

$43.3K

$89.4K

How much do machine learning engineer intern jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning engineer intern in Conifer, CO is $43,262.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What cities near Conifer, CO are hiring for Machine Learning Engineer Intern jobs?

Cities near Conifer, CO with the most Machine Learning Engineer Intern job openings:

Infographic showing various Machine Learning Engineer Intern job openings in Conifer, CO as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $43,262 per year, or $20.8 per hour.

AI/ML Engineer

Cymertek

Aurora, CO • On-site

Full-time

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 cutting-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 cross-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 problem-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 4-5 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. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day.
We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'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

HOW TO APPLY
Email us atjobs@cymertek.comor apply today:www.cymertek.com
Want to see what our employees think? Clickhere .
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.