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Machine Learning Engineer Intern Jobs in Alaska (NOW HIRING)

Sedgwick

Senior and Applied/Agentic AI Engineer

Minto, AK · On-site

$108K - $148K/yr

Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or related discipline. 7-10+ years of experience in AI engineering, machine learning systems ...

Sedgwick

AI Data Scientist Sr.

Minto, AK · On-site

$120K - $160K/yr

Builds, prototypes, and deploys machine learning models in production environments. * Collaborates ... Strong data exploration, data wrangling and feature engineering skills * Knowledge of application ...

York Risk Services

AI Data Scientist Sr.

Minto, AK · On-site

$120K - $160K/yr

Builds, prototypes, and deploys machine learning models in production environments. * Collaborates ... Strong data exploration, data wrangling and feature engineering skills * Knowledge of application ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Alaska

Machine Learning Engineer Intern information

See Alaska salary details

$27.5K

$45.9K

$94.8K

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

As of Jul 9, 2026, the average yearly pay for machine learning engineer intern in Alaska is $45,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $49,500.00 per year, depending on experience, location, and employer.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

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 is a Machine Learning Engineer Intern job?

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 are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

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 are the most commonly searched types of Machine Learning Engineer jobs in Alaska? The most popular types of Machine Learning Engineer jobs in Alaska are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Alaska? For Machine Learning Engineer Intern jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Alaska look for? The top searched job categories for Machine Learning Engineer Intern jobs in Alaska are:
What cities in Alaska are hiring for Machine Learning Engineer Intern jobs? Cities in Alaska with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Alaska as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $45,860 per year, or $22 per hour.
Director, Software Engineering (Anchorage)

Director, Software Engineering (Anchorage)

Cengage Group

Anchorage, AK • On-site

$138K - $180K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Director of Software Engineering – Cengage

We believe in the power and joy of learning. At Cengage, we help students around the world discover the power of learning. As a Director of Software Engineering, you will lead innovative products and shape AI-driven engineering teams.

Responsibilities
  • Work with multiple leaders, including the Digital leadership team and business partners, to craft a convincing technical strategy and roadmap(s) to achieve business unit goals.
  • Collaborate across functions to align on priorities for scaling and building our products globally.
  • Identify scalable products and deliver them to support our global customer base, incorporating new technologies and industry trends.
  • Partner with multi-functional leaders, through POM, to standardize and improve development, testing, and release processes, ensuring timely delivery of quality products.
  • Drive product and technology strategy reviews with Product Leaders and senior collaborators, leading strategic technological discussions.
  • Lead high-performing engineering teams, developing a pipeline of high-caliber talent and encouraging leaders to achieve priorities.
  • Cultivate a high-performance, transparent environment passionate about accountability and results.
  • Reinvent and optimize the SDLC using modern frameworks, principles, automation, and generative AI.
  • Champion a culture of continuous learning and professional development, offering team members opportunities to grow.
Skills you will need
  • 5+ years of leadership experience in developing technology strategies and driving innovation.
  • 10+ years of progressive software development experience.
  • Experience leading a global workforce of employees and contractors across different time zones.
  • Expertise in AWS (EC2, S3, Lambda, RDS, CloudFormation), cloud-native development (Kubernetes, Docker, microservices), and Infrastructure as Code (Terraform, AWS CDK).
  • Solid understanding of AI concepts, technologies and methods, including machine learning, language, reasoning & multimodal models, prompt & context engineering, developing and using skills & agent frameworks, RAG, and vector databases.
  • Hands‑on experience integrating or experimenting with commercial and open‑source GenAI technologies and toolkits (e.g., coding assistants, OpenAI, Hugging Face, LangChain).
  • Strong experience in modernizing monolithic architectures, implementing hybrid cloud strategies, and crafting APIs to bridge legacy systems with cloud‑native platforms.
  • Proven ability to compose and build scalable, secure, high‑availability enterprise systems using CI/CD pipelines and automated testing frameworks.
  • Skilled in agile methodologies (Scrum, Kanban, SAFe) and customer‑centric product models to drive iterative development and rapid time‑to‑market.
  • Excellent verbal and written communication skills.
Preferred
  • Bachelor’s degree in computer science or related field, or equivalent combination of education and recent, relevant work experience.
Compensation

Base salary range: $138,200.00 – $180,000.00 USD. You will also be eligible for the company’s discretionary incentive bonus program, with a target of 25% of base salary. Note that the bonus is not guaranteed and is dependent on performance.

Equal Employment Opportunity

Cengage is committed to working with broad talent pools to attract and hire strong and the most qualified individuals. Our job applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws.

Accommodations

Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities during our application process. If you are an applicant with a disability and require reasonable accommodation, please contact us at accommodations.ta@cengage.com.

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