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Machine Learning Developer Intern Jobs in Wenatchee, WA

Goodfellow Bros.

Data Engineer

Wenatchee, WA · On-site

$123K - $148K/yr

... machine-learning-ready datasets where appropriate, ensuring outputs are explainable, practical, and ... engineering, business, or equivalent practical experience preferred. • Experience designing and ...

Goodfellow Bros. LLC

Data Engineer

Wenatchee, WA · On-site

$90K - $125K/yr

We are looking for a Data Engineer to join our team in Wenatchee, WA. Position Summary Goodfellow ... Support forecasting, predictive analysis, and machine-learning-ready datasets where appropriate ...

All JobsMachine Learning Developer Intern JobsMachine Learning Developer Intern Jobs in Wenatchee, WA

Machine Learning Developer Intern information

See Wenatchee, WA salary details

$27.5K

$45.9K

$94.9K

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

As of Jun 9, 2026, the average yearly pay for machine learning developer intern in Wenatchee, WA is $45,944.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,100.00 and $49,600.00 per year, depending on experience, location, and employer.

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 near Wenatchee, WA are hiring for Machine Learning Developer Intern jobs? Cities near Wenatchee, WA with the most Machine Learning Developer Intern job openings:
Machine Learning Developer Intern jobs near you
Data Engineer

Data Engineer

Goodfellow Bros.

Wenatchee, WA • On-site

$123K - $148K/yr

Full-time

Posted 7 days ago

Job description

Job Summary:
Goodfellow Bros. is a fourth-generation, family-owned heavy-civil contractor with over 100 years of experience. They are seeking a Data Engineer to design, build, and maintain data pipelines that support business decisions across the organization. This role involves connecting data from various systems and ensuring data quality and usability for reporting and analytics.
Responsibilities:
• Own the full lifecycle of data pipelines connecting ERP, field operations, and enterprise systems into a unified data layer.
• Establish and maintain pipeline patterns, data quality frameworks, and engineering standards that can scale across the organization.
• Build and support curated data models, semantic layers, and datasets for reporting, dashboards, and self-service analytics.
• Partner with business stakeholders to translate operational questions into data requirements, source-to-target logic, data definitions, and reusable reporting assets.
• Implement automated data quality checks, monitoring alerts, and lineage documentation to strengthen trust in enterprise data.
• Support forecasting, predictive analysis, and machine-learning-ready datasets where appropriate, ensuring outputs are explainable, practical, and tied to business decisions.
• Coordinate with IT, platform owners, finance, field operations, and other internal teams to align data architecture, integrations, security, governance, and support expectations.
• Document pipelines, data models, and transformation logic through technical documentation, data dictionaries, and operational runbooks.
• Support the deployment, adoption, and continuous improvement of enterprise data tools, reporting capabilities, and analytics practices.
• Promote responsible data use, including appropriate access controls, data stewardship, privacy, and consistent interpretation of key business metrics.
Qualifications:
Required:
• Candidates must have the legal right to work in the US without employer sponsorship.
• Bachelor’s degree in information systems, computer science, data analytics, engineering, business, or equivalent practical experience preferred.
• Experience designing and maintaining data pipelines, data models, data warehouses, or business intelligence datasets.
• Strong SQL skills and experience with relational databases, cloud data platforms, ETL/ELT tools, APIs, and data transformation workflows.
• Experience with business intelligence or analytics tools such as Power BI or similar reporting platforms.
• Ability to work with stakeholders to define metrics, document business rules, and translate operational needs into practical technical solutions.
• Working knowledge of data quality practices, data governance, access controls, documentation, and support models.
• Strong communication, problem-solving, and customer-service skills, with the ability to explain technical concepts to non-technical audiences.
Preferred:
• Familiarity with Python, TypeScript, notebooks, statistical analysis, forecasting, or machine-learning concepts preferred.
• Construction, heavy-civil, operations, finance, equipment, or enterprise systems experience preferred.
Company:
We are a fourth-generation, family-owned heavy-civil construction company. Founded in 1921, the company is headquartered in Wenatchee, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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