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Machine Learning Developer Intern Jobs in Alaska

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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Machine Learning Developer Intern information

How do Machine Learning Developer Interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What does a Machine Learning Developer Intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a Machine Learning Developer Intern, and why are they important?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities in Alaska are hiring for Machine Learning Developer Intern jobs? Cities in Alaska with the most Machine Learning Developer Intern job openings:
Machine Learning Developer Intern jobs near you
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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