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Machine Learning Developer Intern Jobs in Wenatchee, WA

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 Aug 19, 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.

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?

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.

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 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 Center Operations Systems Engineer (Seattle)

Lambda

Quincy, WA • On-site

$109K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our Quincy, WA Data Center 5 days per week.
What You'll Do
  • Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured.
  • Troubleshoot hardware and software issues in some of the world's most advanced GPU and Networking systems.
  • Document and update data center layout and network topology in DCIM software
  • Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments
  • Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers
  • Partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.
  • Work with RMA team to ensure faulty parts are returned and replacements are ordered
  • Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers

You
  • Have strong past experiences with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
  • Be familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting
  • Basic knowledge of cable optics and the different types of use
  • Solid understanding of single and three phase power theories
  • PDU balancing and why it is important
  • Familiar with multiple cable media types and their uses
  • Knowledge of cold isle and hot isle containment
  • Solid understanding of server hardware and boot process
  • Ability to structure, collaborate and iteratively improve on complex maintenance MOPs.
  • Working with product management, support, and other teams to align operational capabilities with company goals.
  • Translating business priorities into technical and operational requirements.
  • Supporting cross-functional projects where infrastructure plays a critical role.
  • Are action-oriented and willingness to train junior staff on best practices
  • Are willing to travel for bring up of new data center locations as needed

Nice to Have
  • Have 3+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
  • Experience with/or knowledge of network topology and configurations and 400gb Infiniband architectures.
  • Experience with/or knowledge of DDP or SCM cluster storage systems.
  • Have 3+ years working with and reporting from a ticketing systems like JIRA and Zendesk
  • Advanced experience with Linux administration
  • Experience with High Performance Compute GPU systems (air or water cooled) - especially Nvidia NVL72

Salary Range Information
This is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
  • Founded in 2012, with 500+ employees, and growing fast
  • Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • Our values are publicly available: https://lambda.ai/careers
  • We offer generous cash & equity compensation
  • Health, dental, and vision coverage for you and your dependents
  • Wellness and commuter stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible paid time off plan that we all actually use

Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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