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Machine Learning Scientist Intern Jobs in Colorado

Ibotta, Inc

Principal Machine Learning Engineer

Denver, CO · On-site

$228K - $253K/yr

Ibotta is seeking a Principal Machine Learning Engineer to join our Core Data & Analytics team and ... Mentor ML Engineers and Data Scientists, fostering a culture of technical ownership, rigorous ...

Five and Fly

Analytics Engineering Intern

Denver, CO · On-site +1

$17.25 - $22.50/hr

... Data Science, Computer Science, or related fields. * Interest in data analysis, business ... Interest in AI, machine learning, or intelligent automation.

PNC Bank

Technology Undergraduate Intern

Arvada, CO

$18 - $35/hr

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

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Machine Learning Scientist Intern information

What kinds of projects and collaborations can a machine learning scientist intern expect during their internship?

As a Machine Learning Scientist Intern, you can expect to work on real-world data-driven projects, often involving tasks like data preprocessing, developing and testing machine learning models, and analyzing model performance. Interns typically collaborate with experienced data scientists, engineers, and sometimes product teams, participating in regular meetings and code reviews. This role offers hands-on experience with large datasets and modern ML frameworks, along with mentorship to help you grow your technical and research skills. Working cross-functionally is common, so strong communication and teamwork are valuable assets.

What does a machine learning scientist intern do?

A Machine Learning Scientist Intern typically assists in designing, developing, and testing machine learning models to solve real-world problems. They collaborate with experienced scientists and engineers to analyze data, select appropriate algorithms, and evaluate model performance. Interns often contribute to research projects, data preprocessing, and implementation of prototypes. This role provides valuable hands-on experience in applying machine learning techniques to practical challenges and often involves learning and using tools such as Python, TensorFlow, or PyTorch.

What are the key skills and qualifications needed to thrive as a machine learning scientist intern, and why are they important?

To thrive as a Machine Learning Scientist Intern, you generally need a solid foundation in mathematics, statistics, and programming (especially Python), often supported by coursework or research experience in machine learning. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems is typically expected. Strong problem-solving skills, curiosity, and effective communication help interns stand out when collaborating and presenting results. These skills and qualities are vital for effectively developing models, interpreting data, and contributing to innovative projects in a team environment.

What are the most commonly searched types of Machine Learning Scientist jobs in Colorado?

The most popular types of Machine Learning Scientist jobs in Colorado are:

What cities in Colorado are hiring for Machine Learning Scientist Intern jobs?

Cities in Colorado with the most Machine Learning Scientist Intern job openings:

Machine Learning Scientist Intern jobs near you

Machine Learning Engineer / Specialist

Data Computer Corporation of America

Littleton, CO • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 24 days ago

Job description

DCCA is a veteran-owned IT business specializing in providing innovative solutions to a variety of government agencies and commercial enterprises since 1982. DCCA is proud to offer career growth opportunities and a competitive compensation and benefits package. Visit our website at: www.dcca.com
Machine Learning - All Levels
Candidate must have an active TS/SCI to be considered
For over 40 years, DCCA has provided a broad range of IT services to government agencies and commercial enterprises, helping them to feel confident in their IT infrastructure. With DCCA, these organizations can be confident in the flexibility and skill of their IT partners, allowing them to upgrade their technology quickly and efficiently. Better yet, thanks to DCCA's successful track record, clients can rest assured knowing DCCA can tackle any problem with ease, allowing them to focus on the work that matters.
Internally, DCCA prides itself on a culture built on integrity and inclusivity, allowing its employees to build lasting skills and relationships. As a veteran owned business, DCCA knows the importance of recruiting employees with a wide range of backgrounds, allowing for every problem to be approached by a diverse array of perspectives. Join us and be part of a team that has a people first mentality and a dedication to excellence.
Key Tasks:
• Develop algorithms and conduct analysis using state-of-the-art machine learning/artificial intelligence tools
• Built and deploy AI algorithms especially in cloud environments (i.e. AWS)
• Establish scalable, efficient, and automated processes for large scale ML model deployments and integration.
Required Skills:
• The ideal candidate shall possess a bachelor's degree in Computer Science or Computer Engineering or other technical degree.
• A security clearance or the ability to obtain a security clearance is required. Candidates should have experience with large software systems and the full software development lifecycle.
• Experience with Python programming language
• Involved with setting up the data pipeline, machine learning framework-from data discovery to model deployment-in a big data environment.
• Experience deploying robust machine learning
• Built and deploy AI algorithms
• Exposure to machine learning concepts (feature engineering, text classification, and time series prediction) and frameworks with interest in learning more.
• Strong troubleshooting, debugging and problem-solving skills
• Ability to quickly explore, evaluate and learn new technologies
• Strong communication skills, verbal and written. Includes the ability to effectively communicate complex information to audiences with varying technical and system backgrounds and at multiple organizational levels
Desired Skills:
• Proficiency with Linux and Linux based software development tools
• Experience with virtualization (i.e. VMWare)
• Advanced degrees in engineering, computer science, or related fields
• Experience in providing solutions for building big data, machine learning, and AI infrastructures and models (i.e. AWS), to including containerization (i.e. Ducker, Kubernetes)
• Experience with machine learning lifecycle platforms (i.e AirFlow/MlFlow/ Kubeflow)
• Experience in Spark, Hive, Spark ML, Databricks, Natural Language Processing, Tensor Flow, and Deep Learning tools (i.e Tensorflow, Keras, Theano, PyTorch, Scikit-learn)
• Built frameworks for deployment of AI algorithms in other cloud environment- i.e Microsoft Azure and Google Cloud Platform
• CompTIA Security+ certification or equivalent
• CISSP certification or equivalent
Required Education/Certifcations:
• Associate Engineer (CT7): Entry-level to experienced, but still a learner typically with an advanced degree and 0 years experience or bachelors degree and 0-2+ years experience or equivalent
• Engineer 1 (CT8): Career level typically with an advanced degree and 3+ years experience or bachelors with 5+ years experience or equivalent
• Senior Engineer (CT9): Emerging authority typically with an advanced degree and 7+ years experience or bachelors with 9+ years experience or equivalent; applies extensive expertise
• Principal Engineer (CT10): Expert, authority in discipline typically with an advanced degree and 12+ years experience or bachelors with 14+ years experience or equivalent
• Engineer Consultant (CT11): Senior consultant to top management typically with an advanced degree and 18+ years experience or bachelors with 20+ years experience or equivalent
The proposed salary range for these positions in Colorado is 75,000 - 230,000 (CT7 - CT11). Final salary will be determined based on various factors. Our comprehensive benefit offerings include healthcare, retirement plan, paid disability and life insurance programs, employee assistance program, paid and unpaid leave programs, education assistance, and wellness initiatives.
At DCCA, we believe the key to providing our clients with unrivaled services starts with retaining top talent, something we're able to do through our consistent commitment to building culture and comprehensive benefits.
Competitive Compensation: While salary at DCCA is determined by various factors, we are committed to making sure our salaries reflect the skill and expertise of our employees. In addition, each year we perform an annual salary review ensuring pay is equitable across both the company and industry at large.
Growth Opportunities: DCCA makes it a priority to help you grow and support your career advancement. From upskilling programs to recertification support, to professional development opportunities, we're here to help you grow your career and create lasting relationships.
Emphasis on Inclusivity: DCCA's culture emphasizes respect, equity, and opportunity and is supported by an array of business resource groups and other opportunities for connection.
Empowering Health: DCCA's benefits which encompass healthcare, paid time off, and flexible 401(k) options encourage you to live a healthy and fulfilling life, both in and outside of work. Learn more about our total benefits package on our Benefits page.
Mission Focused Work: From the defense industry to health IT management, DCCA allows you to work on innovative projects whose outcomes improve people's lives and solve today's IT problems.
Equal Opportunity Employer including Disability/Vets

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