1

Internship Machine Learning Engineer Jobs in Alaska

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 ...

Participate in technical learning and knowledge sharing with the team. Required Skills / Experience ... Internship or academic project experience in cloud or web application development * Familiarity ...

BIRDWA87611 - Intern

Fairbanks, AK · On-site

$17.25 - $22.25/hr

... engineer as your line manager and career coach, so you'll be learning directly from a skilled ... Prior manufacturing internship/co-op preferred but not required * Experience in CNC machining ...

next page

Showing results 1-20

Internship Machine Learning Engineer information

What does an Internship Machine Learning Engineer do?

An Internship Machine Learning Engineer works alongside experienced engineers to help develop, test, and deploy machine learning models. Their responsibilities may include cleaning and preparing data, writing code for model training, evaluating model performance, and contributing to research tasks. Interns often learn to use popular frameworks such as TensorFlow or PyTorch and gain hands-on experience with real-world datasets. This role is designed to help students or recent graduates apply their academic knowledge to practical problems while developing industry-relevant skills.

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

AspectInternship Machine Learning EngineerData Scientist Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, data analysis, programming
Work EnvironmentDeveloping ML models, coding, testingData analysis, visualization, reporting
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, consulting

Internship Machine Learning Engineers focus on developing and testing machine learning models, often requiring programming and basic ML knowledge. Data Scientist Interns analyze data, create visualizations, and generate insights. Both roles are common in tech and data-driven industries, but ML Engineer internships emphasize model deployment, while Data Science internships focus on data analysis and reporting.

What types of projects and responsibilities can I expect as an Internship Machine Learning Engineer?

As an Internship Machine Learning Engineer, you will typically support the development, testing, and deployment of machine learning models under the guidance of senior engineers. Your responsibilities may include data preprocessing, exploratory data analysis, implementing algorithms, and evaluating model performance. You'll often collaborate closely with data scientists, software engineers, and product managers, gaining exposure to real-world workflows and tools. This hands-on experience is invaluable for building technical skills and understanding how machine learning solutions are integrated into larger products.

What are the key skills and qualifications needed to thrive as an Internship Machine Learning Engineer, and why are they important?

To excel as an Internship Machine Learning Engineer, you typically need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, often supported by coursework or relevant project experience. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is common, along with proficiency in data processing libraries. Curiosity, strong problem-solving abilities, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can contribute meaningfully to projects, adapt to new challenges, and collaborate productively in a rapidly evolving technical 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:
Automation Technician

$47K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Job Summary:
Assist with technical work in the administration, maintenance, and operation of SCADA and computerized distributed control systems with an emphasis on industrial data management and data engineering/analytics.
Essential Functions include, but are not limited to: (Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.)
  • Industrial Information Management
  • Experience with AVEVA OSIsoft PI and GE Proficy Historian
  • Experience with GE iFix SCADA Software
  • System configuration / Prod historian configuration
  • Asset Framework models configuration and maintenance
  • Data Engineering / Analytics
  • Creates data pipelines and data integrations in databases, data warehouses and data lakes working with various cloud and on-premises technologies
  • Skilled at data movement (PCN to DMZ/Cloud), consolidating and cleansing the data
  • Project Management / Project Engineering
    • Coordinate and participate in the design, development and administration of standards and documentation for all SCADA configuration databases, applications programming, and core SCADA functions. Enforce adherence to corporate SCADA standards
    • Solid understanding of desktop computers, printers, and general office applications
  • SCADA Engineering
  • Working knowledge of SCADA architecture design including control, measurement and safety systems for oil and gas production and pipeline facilities
  • Working knowledge of OT Cybersecurity
  • Industrial Information Management
    • AVEVA OSIsoft PI architecture design and PI Interface connector configuration
    • GE Proficy Historian architecture design and PI Interface connector configuration
    • GE iFix architecture and data configuration
    • System Upgrades, OS patching, user training
  • Data Engineering / Analytics
    • Able to use programming languages such as C#, Java, Python, R, Ruby, Scala and SQL to provide end-to-end data collection, intake and processing.
    • Able to use a cloud environment / architecture to structure and organize data for use in specific analytics applications.
    • Able to prepare data for machine learning platforms. Know how to deploy machine learning algorithms and gain insights from them.
  • Project Management / Project Engineering
    • Manage Internal and External resources to optimize field work processes, field process control and safety systems.
    • Work with field Technicians to troubleshoot and diagnose SCADA related problems.
    • Mentor and help train junior level staff through training and review of their work plans and system installs.
  • SCADA Engineering
    • OT Cybersecurity certification preferred
    • Conduct feasibility studies, conduct site surveys and develop recommendations and cost estimates for the installation of new SCADA systems or for the upgrade of existing systems.
    • Working knowledge of Process Safety
    • Keep abreast of new SCADA related developments and technology in areas such as equipment, software, governmental regulations, advanced business applications, alternate site business recovery and communications.
  • OT Network Engineering
    • Experience implementing networking solutions in industrial and automation environments
    • Experience with OT / Industrial networking solutions including routing and switching protocols
    • Set up and maintain computer and controller networks using Ethernet, Modbus, Profibus, Device Net, HART and Control Net
    • Experience with implementing and maintaining OT Network Monitoring and Anomaly Detection systems
  • Automation Engineering
    • Familiar, or ability to learn, to develop new and modify existing HMI, PLC, and DCS systems (AVEVA, GE iFix, Rockwell, GE/Emerson, Modicon, Honeywell Experion, ABB 800xA)
  • Troubleshoot and diagnose problems with Siemens, Rockwell and Danfoss Soft Starters and Variable Frequency Drives.
  • Troubleshooting Rockwell ControllLogix hardware and configuration.
Qualifications:
  • Five (5) or more years of SCADA or automation experience, preferably in the oil and gas industry, with a special emphasis in Data Engineering, Data Analytics, Industrial Databases, and programming.
  • Strong interpersonal skills to effectively communicate with individuals at all levels of the company.
  • Strong ability in diagnosing and solving SCADA problems with patience, professionalism, and courtesy.
  • Working knowledge and understanding of SCADA system setup and maintenance with regard to administration, programming, database administration, telemetry, and RTU input management understanding of the technology related to SCADA design and maintenance of a SCADA system.
  • Ability to establish priorities, meet deadlines, and concentrate on detailed information in a fast-paced and demanding work environment.
  • Good written and verbal communication skills, with specific ability to translate complex computer/information systems information into an organized and presentable manner.
  • Ability to complete multiple, diverse tasks of differing priorities.
  • Proficiency in the use and application of the following software: OSIsoft PI Historian
  • Proficiency in the use and application of the following software: GE Proficy Historian
  • Proficiency in the use and application of the following software: GE iFix
Education Requirements:
  • Preferred: Bachelor’s Degree from an accredited four-year university or college with a degree in engineering.
  • Considered: Computer Science or technical AA degree with 7+ years of relevant experience.
Office Location and Travel:
This position is located on the North Slope of Alaska at Milne Point, on a 2 weeks on/2 weeks off rotation. Travel from Anchorage to Prudhoe Bay is provided.
Benefits:
We offer a comprehensive benefits package including medical, prescription, dental, vision, life insurance, and disability plans effective during your employment. In addition, you will be eligible to participate in our 401(k) savings plan and accrue paid time off, among other benefits.
Working Environment amp; Conditions
This position is primarily indoors, consistent with a standard office position and has a noise level of mostly low to moderate.
Our Equal Opportunity Policy: EOE Minorities/Female/Protected Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352.