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Machine Learning Engineer Jobs in Wailuku, HI (NOW HIRING)

Marriott International, Inc

Engineer III

Lahaina, HI · On-site

$31 - $34.44/hr

Additional Information Job Number 26095481 Job Category Engineering & Facilities Location 1 Ritz ... Visually inspect tools, equipment, or machines. Carry equipment (e.g., tools, radio). Identify ...

Marriott

Engineer III

Lahaina, HI · On-site

Visually inspect tools, equipment, or machines. Carry equipment (e.g., tools, radio). Identify, locate, and operate all shut-off valves for equipment. Maintain maintenance inventory and requisition ...

Marriott

Engineer III

Lahaina, HI · On-site

Visually inspect tools, equipment, or machines. Carry equipment (e.g., tools, radio). Identify, locate, and operate all shut-off valves for equipment. Maintain maintenance inventory and requisition ...

Marriott International

Engineer III

Lahaina, HI · On-site

$31 - $34.44/hr

Visually inspect tools, equipment, or machines. Carry equipment (e.g., tools, radio). Identify, locate, and operate all shut-off valves for equipment. Maintain maintenance inventory and requisition ...

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Showing results 21-26

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Wailuku, HI

Machine Learning Engineer information

See Wailuku, HI salary details

$31.1K

$127K

$190.9K

How much do machine learning engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning engineer in Wailuku, HI is $127,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $152,900.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What cities near Wailuku, HI are hiring for Machine Learning Engineer jobs?

Cities near Wailuku, HI with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Wailuku, HI as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $127,019 per year, or $61.1 per hour.

Senior Software Engineer

National Solar Observatory

Maui, HI • On-site

$125K - $167K/yr

Full-time

Retirement, PTO

Re-posted 21 days ago

Job description

The NSF Daniel K. Inouye Solar Telescope (DKIST), operated by the National Solar Observatory (NSO), is the world’s largest and most advanced solar telescope, designed to help answer fundamental questions about our Sun and its complex magnetic fields. DKIST, which completed construction and began operations in November 2021 on the summit of Haleakala, Maui, Hawaii is a major program within the NSO. The NSO, an NSF national research and development center dedicated to solar science, is managed by the Association of Universities for Research in Astronomy (AURA). AURA, a consortium of 49 U.S. institutions and 3 international affiliates, operates world-class astronomical observatories. Its role is to establish, nurture, and promote public observatories and facilities that drive innovative astronomical research.

We are seeking a Senior Software Engineer to provide technical leadership and hands-on development for our High-Level Software (HLS) systems supporting advanced telescope and instrumentation platforms. This role will solve complex technical challenges, guide engineers and partners, and contribute directly to system design, development, and operations at the DKIST facility.

You will play a key role in delivering robust, scalable software systems that support scientific discovery, collaborating closely with cross-functional teams across engineering and operations.

Essential Functions
Technical Leadership & Development
  • Design, develop, test, deploy, and maintain high-level software systems for telescope and instrument applications
  • Lead complex engineering efforts and provide technical direction to team members and collaborators
  • Architect and implement scalable, multi-threaded, distributed systems
  • Support system integration across observatory platforms
Collaboration & Execution
  • Partner with engineering teams, operations staff, subcontractors, and stakeholders to deliver solutions
  • Plan and execute work aligned with technical, schedule, and budget requirements
  • Identify and resolve complex problems with minimal direction
  • Recommend and implement improvements to systems and processes
Documentation & Quality
  • Maintain comprehensive documentation (design specs, APIs, test plans, user guides)
  • Ensure high-quality software delivery through testing and best practices
  • Support CI/CD pipelines and automated testing frameworks
Operations Support
  • Provide software support for summit and science operations as needed
  • Participate in system upgrades and new initiatives
Compliance & Safety
  • Adhere to safety standards and organizational policies
  • Ensure compliance with government award requirements (if applicable)
  • Promote a respectful, inclusive, and collaborative work environment
Requirements
  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
  • 10+ years of software development experience, including:
    • 5+ years with Java (including Swing)
    • Experience building multi-threaded, distributed systems
    • At least 1 year of Python
  • Experience with Linux-based development environments
  • Strong problem-solving skills with the ability to work from high-level objectives
  • Experience with databases (PostgreSQL or similar)
  • Familiarity with Agile development practices
  • Strong written and verbal communication skills

This position involves access to technical data that is subject to U.S. export control laws, including the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR). Pursuant to these regulations, only U.S. persons (as defined in the regulations) are eligible for access to the controlled technical data. A "U.S. person" includes a U.S. citizen, U.S. national, lawful permanent resident (green card holder), or person granted asylum or refugee status. Applicants must be eligible to access export-controlled information as defined by U.S. law.

Preferences
  • Experience in scientific, engineering, or large-scale technical environments
  • Knowledge of distributed control systems or observatory/telescope systems
  • Experience with:
    • Middleware frameworks (e.g., EPICS, TANGO, DDS, ICE)
    • High-throughput data systems (GB/s scale)
    • CI/CD pipelines and automated testing
    • Cloud platforms (AWS, GCP)
    • Container technologies (Docker, Kubernetes)
  • Familiarity with motion control systems (e.g., Beckhoff, Omron, Delta Tau)
  • Experience managing vendors or technical contractors
Work Environment & Physical Requirements
  • Primarily office-based with extended computer use
  • Occasional lifting (up to 25 lbs)
  • Periodic work at high-elevation observatory site (~10,000 ft)
  • Frequent communication and collaboration with team members

Salary Range: $125,000 - $167,000 per year. The final salary will depend on skills, qualifications and experience.

AURA offers an excellent benefits package including paid time off and retirement plan contributions, competitive salary commensurate with experience, and a very attractive work environment. Details on benefits can be found at Benefits by Location - Aura Human Resources 

Apply by July 5, 2026 for priority consideration. This position will remain open until it is filled. Please submit a cover letter and a CV or resume, PDF files preferred. Please name any attachments with the following format: LastName DocName.

Individuals needing assistance with the employment process can request assistance here.

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